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Vegetable oils are extracted from oilseeds, fruits and other parts of plants. The method used in oil extraction is of great importance, as it affects both the quality of the final product and the environment. It is desirable that the extraction method be minimally costly, fast, environmentally friendly, and produce oil of high quality and quantity. Common oil extraction methods are mechanical pressing and solvent extraction, and these methods have advantages and disadvantages over each other. Mechanical extraction and solvent extraction are controversial due to poor product quality and high environmental impacts. This review presents applications where conventional oil extraction processes are assisted by microwave or ultrasound. It is necessary to evaluate the impact of ultrasound and microwave-assisted extraction on the quality of the extracted oil and also to compare the results with those of conventional extraction methods. For this purpose, this review discusses the effects of microwave and ultrasound-assisted extraction on the physicochemical, oxidation indices, bioactive compounds, and antioxidant properties of oil extracted from oil seeds and fruits. Furthermore, this review provides readers with in-depth information on the mechanisms involved, their use, and the impact of operating conditions. The yield and quality of the oil obtained by these processes can vary depending on parameters such as microwave power, ultrasound power, processing time, and temperature. Finally, the review also discusses the challenges and advantages of the industrial application of these technologies. [ABSTRACT FROM AUTHOR]

We examine the impact of corporate financialization on export product quality using data from Chinese A-share listed companies from 2000 to 2015. Our findings indicate that corporate financialization inhibits the upgrading of export product quality through ‘innovation crowding out’ and ‘factor substitution’ effects. Heterogeneity tests reveal that this negative effect is pronounced for firms with strong motivations for market arbitrage, precautionary savings, tunneling, as well as higher managerial overconfidence. Additionally, firms exporting to high-income countries, engaging in general trade in less digitally developed regions, and adopting compensation incentives are more susceptible to the disincentive effects of corporate financialization on export product quality. [ABSTRACT FROM AUTHOR]

Modern consumers demand the replacement of synthetic colorants with natural alternatives. Microalgae can serve as an alternative source for these colorants since they hold significant amounts of pigments. This study aimed to evaluate the potential of using microalgae biomass and extracts as natural colorants for pastry and confectionary products. The application of different biomass and levels of Chlorella vulgaris (White, Honey, and a mixture of both) was evaluated in brioche‐type breads as egg substitute to confer the typical yellow coloration to the product. A mixture of 1% Chlorella vulgaris (White: Honey [1:1]) showed potential as egg substitute, having minimal impact on the physical–chemical, microbiological, nutritional, and sensory characteristics of the products. Hydroalcoholic Tetraselmis chuii extracts were applied in fondant at a concentration of 0.05%, providing a green coloration with minimal impact on the quality of the product. This study supported the potential of using microalgae, biomass, and extracts, as alternative natural colorants in pastry and confectionary products. [ABSTRACT FROM AUTHOR]

The degree to which customers express satisfaction with a product on Twitter and other social media platforms is increasingly used to evaluate product quality. However, the volume and variety of textual data make traditional sentiment analysis methods challenging. The nuanced and context-dependent nature of product-related opinions presents a challenge for existing tools. This research addresses this gap by utilizing complex graph-based modelling strategies to capture the intricacies of real-world data. The Graph-based Quickprop Method constructs a graph model using the Sentiment140 dataset with 1.6 million tweets, where individuals are nodes and interactions are edges. Experimental results show a significant increase in sentiment classification accuracy, demonstrating the method’s efficacy. This contribution underscores the importance of relational structures in sentiment analysis and provides a robust framework for extracting actionable insights from user-generated content, leading to improved product quality evaluations. The GQP-PQE method advances sentiment analysis and offers practical implications for businesses seeking to enhance product quality through a better understanding of consumer feedback on social media. [ABSTRACT FROM AUTHOR]

FFF 3D printing is one of the most widely used additive manufacturing methods, bringing great convenience to production manufacturing. However, various printing defects may occur during the printing process due to human factors or printer-related issues. Timely detection of defects and halting printing becomes a scenario of significant practical importance. This paper first analyzes the causes of the five most common defects in FFF 3D printing, and a defect dataset is created by deliberately designing defects. Subsequently, a real-time defect detection system for FFF 3D printing, based on an improved YOLOv8 detection head, is developed. By employing an optimization method using Group Convolution to share parameters, the detection head is lightweight, resulting in better model performance. Experimental results demonstrate that the mAP50 of the improved YOLOv8 model reaches 97.5%, with an 18.1% increase in FPS and a 32.9% reduction in GFLOPs. This enhancement maintains comparable detection accuracy to the original model while achieving faster detection speed and lower computational requirements. The improved model is integrated into the detection system as the detection model, and through testing, the real-time detection system promptly and accurately identifies and alerts any occurring defects. The practical significance of this system lies in its ability to enhance production efficiency, reduce resource wastage due to defective printing, and improve product quality and manufacturing safety, thereby providing strong support for the application of visual inspection technology in FFF 3D printing. [ABSTRACT FROM AUTHOR]

AbstractWhile traditional control charts play an important role in quality assurance activities, the work on such techniques evolved over the years particularly for early detection of process shifts. Many advanced level control charts have been proposed in the literature to even detect small shifts in the process as early as possible. In order to make use of the prior beliefs and likelihood of the observed data behavior, Bayesian control charts for parameter of the posterior distribution have been proposed by various authors. The Six Sigma-based control charts ensure smaller process variations by enforcing quality improvement activities and as a result, such processes would produce higher quality products with only 3.4 defects per million opportunities (DPMO) even after allowing a shift in the process up to ±1.5 times of process standard deviation. In this paper, an attempt has been made to develop Six Sigma-based Bayesian control charts. The proposed control charts incorporate various shift (or no-shift) combinations to prior and observed data behaviors to study their influence on the posterior parameter. Illustrative examples are also given for understanding the proposed approach. The performance evaluation and comparisons are also presented. The paper ends with a discussion and concluding remarks. [ABSTRACT FROM AUTHOR]

Product aesthetics play a crucial role in user satisfaction and product success. However, the feasibility and accuracy of using electromyographic (EMG) data for product aesthetic quality evaluation are unknown. Here, we analysed the correlations and associations between EMG physiological data and product aesthetic quality of 60 subjects by SPSS software and designed a product aesthetic quality evaluation model based on the multivariate logistic (M) algorithm to answer this question. It was found that the EMG data of the zygomatic and buccal muscles did not have significant correlations with product aesthetic quality, whereas five indicators in the EMG data of the frowning muscles had significant correlations relationships with product aesthetic quality. We also found that the overall accuracy of the product aesthetic quality evaluation model was 72.3%, which was able to better distinguish product aesthetic quality. This study demonstrates that product aesthetic quality can be evaluated using EMG data and that the product aesthetic quality evaluation model can provide an objective and accurate decision-making reference to help engineers and designers in product aesthetic quality evaluation and product design. This study lays the foundation for the future integrated multimodal physiology to conduct aesthetics quality evaluations with a high degree of accuracy. [ABSTRACT FROM AUTHOR]

Battery lifetime prediction at early cycles is crucial for researchers and manufacturers to examine product quality and promote technology development. Machine learning has been widely utilized to construct data-driven solutions for high-accuracy predictions. However, the internal mechanisms of batteries are sensitive to many factors, such as charging/discharging protocols, manufacturing/storage conditions, and usage patterns. These factors will induce state transitions, thereby decreasing the prediction accuracy of data-driven approaches. Transfer learning is a promising technique that overcomes this difficulty and achieves accurate predictions by jointly utilizing information from various sources. Hence, we develop two transfer learning methods, Bayesian Model Fusion and Weighted Orthogonal Matching Pursuit, to strategically combine prior knowledge with limited information from the target dataset to achieve superior prediction performance. From our results, our transfer learning methods reduce root-mean-squared error by 41% through adapting to the target domain. Furthermore, the transfer learning strategies identify the variations of impactful features across different sets of batteries and therefore disentangle the battery degradation mechanisms and the root cause of state transitions from the perspective of data mining. These findings suggest that the transfer learning strategies proposed in our work are capable of acquiring knowledge across multiple data sources for solving specialized issues. [ABSTRACT FROM AUTHOR]

Metal additive manufacturing has significantly evolved since the 1990s, achieving a market valuation of USD 6.36 billion in 2022, with an anticipated compound annual growth rate of 24.2% from 2023 to 2030. While powder-bed-based methods like powder bed fusion and binder jetting dominate the market due to their high accuracy and resolution, they face challenges such as lengthy build times, excessive costs, and safety concerns. Non-powder-bed-based techniques, including direct energy deposition, material extrusion, and sheet lamination, offer advantages such as larger build sizes and lower energy consumption but also encounter issues like residual stress and poor surface finish. The existing reviews of non-powder-bed-based metal additive manufacturing are restricted to one technical branch or one specific material. This survey investigates and analyzes each non-powder-bed-based technique in terms of its manufacturing method, materials, product quality, and summary for easy understanding and comparison. Innovative designs and research status are included. [ABSTRACT FROM AUTHOR]

Cloud is a serious problem that affects the quality of remote-sensing (RS) images. Existing cloud removal techniques suffer from notable limitations, such as being specific to certain data types, cloud conditions, and spatial extents, as well as requiring auxiliary data, which hampers their generalizability and flexibility. To address the issue, we propose a maximum-value compositing approach by generating cloud masks. We acquired 432 daily MOD09GA L2 MODIS imageries covering a vast region with persistent cloud cover and various climates and land-cover types. Labeled datasets for cloud, land, and no-data were collected from selected daily imageries. Subsequently, we trained and evaluated RF, SVM, and U-Net models to choose the best models. Accordingly, SVM and U-Net were chosen and employed to classify all the daily imageries. Then, the classified imageries were converted to two sets of mask layers to mask clouds and no-data pixels in the corresponding daily images by setting the masked pixels' values to −0.999999. After masking, we employed the maximum-value technique to generate two sets of 16-day composite products, MaxComp-1 and MaxComp-2, corresponding to SVM and U-Net-derived cloud masks, respectively. Finally, we assessed the quality of our composite products by comparing them with the reference MOD13A1 16-day composite product. Based on the land-cover classification accuracy, our products yielded a significantly higher accuracy (5–28%) than the reference MODIS product across three classifiers (RF, SVM, and U-Net), indicating the quality of our products and the effectiveness of our techniques. In particular, MaxComp-1 yielded the best results, which further implies the superiority of SVM for cloud masking. In addition, our products appear to be more radiometrically and spectrally consistent and less noisy than MOD13A1, implying that our approach is more efficient in removing shadows and noises/artifacts. Our method yields high-quality products that are vital for investigating large regions with persistent clouds and studies requiring time-series data. Moreover, the proposed techniques can be adopted for higher-resolution RS imageries, regardless of the spatial extent, data volume, and type of clouds. [ABSTRACT FROM AUTHOR]

Freeform surfaces like tensor product B-spline surfaces have been proven to be a suitable tool to model laser scanner point clouds, especially those representing artificial objects. However, when it comes to the modelling of point clouds representing natural surfaces with a lot of local structures, tensor product B-spline surfaces reach their limits. Refinement strategies are usually used as an alternative, but their functional description is no longer nearly as compact as that of classical tensor product B-spline surfaces, making subsequent analysis steps considerably more cumbersome. In this publication, the approximation quality of classical tensor product B-spline surfaces is improved by means of local parameterization. By using base surfaces with a local character, relevant information about local structures of the surface to be estimated are stored in the surface parameters during the parameterization step. As a consequence, the resulting tensor product B-spline surface is able to represent these structures even with only a small number of control points. The developed locally parameterized B-spline surfaces are used to model four data sets with different characteristics. The results reveal a clear improvement compared to the classical tensor product B-spline surfaces in terms of correctness, goodness-of-fit and stability. [ABSTRACT FROM AUTHOR]

BACKGROUND: Traditional sun‐drying aquatic products are popular and recognized by customers, owing to their unique flavor and long‐term preservation. However, the product quality and production efficiency cannot be guaranteed. Cololabis saira is rich in unsaturated fatty acids, which are susceptible to hyperoxidation during the drying process. This study aimed to make clear the role of ultraviolet (UV) radiation in flavor formation during drying processes of Cololabis saira to develop a modern drying technology. RESULTS: Lipid oxidation analysis revealed that moderate hydrolytic oxidation occurred in the UV‐assisted cold‐air drying group due to the combined influence of UV and cold‐air circulation, resulting in the thiobarbituric acid reactive substances value being higher than that of cold‐air drying group but lower than the natural drying group. Hexanal, heptanal, cis‐4‐heptenal, octanal, nonanal, (trans,trans)‐2,4‐heptadienal, (trans,trans)‐2,6‐nonanedial, 1‐octen‐3‐ol, heptanol, 2,3‐pentanedione, 3,5‐octadien‐2‐one and trimethylamine were identified as the characteristic flavor odor‐active compounds present in all Cololabis saira samples. Yet, during the natural drying process, sunlight promoted the lipid oxidation, resulting in the highest degree of lipid oxidation among three drying methods. Light and heat promoted lipid oxidation in Cololabis saira prepared through natural drying process, leading to a large accumulation of volatile compounds, such as 3‐methylbutyraldehyde, 2,3‐pentanedione, 1‐propanol, and 3‐pentanone. Cold air circulation inhibited lipid oxidation to some extent, resulting in a blander flavor profile. More cis‐4‐heptenal, cis‐2‐heptenal, octanal and 2‐ethylfuran accumulated during the UV‐assisted cold‐air drying process, enriching its greasy flavor and burnt flavor. CONCLUSION: UV‐assisted cold‐air drying could promote moderate lipid oxidation, which is beneficial for improving product flavor. To sum up, UV radiation played a crucial role in the flavor formation during the drying process of Cololabis saira. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

The automotive industry, known for its dynamism and innovation, relies on effectiveness of product and process requirements management. Effective collaboration with OEM (Original Equipment Manufacturers) is essential for success. The article analyses how product and process requirements evolve during different project phases, following the APQP (Advanced Product Quality Planning) approach, depending on OEM type. The study focuses on Tier 1 organizations, direct suppliers to the automotive industry, and their diverse approaches to product development. It underscores the need for Tier 1 organizations to maintain flexibility in their operations and to be prepared for changes in OEM demands. The study emphasizes the role of effective communication and coordination among all the levels of the supply chain to ensure the successful implementation of the APQP approach. [ABSTRACT FROM AUTHOR]

Padang satay is a typical West Sumatran food that is part of Indonesia's traditional heritage. The experiment was carried out to overcome the problem of decreasing the quality of padang satay products. The vacuum and sterilization method utilized retort pouch packaging, which was anticipated to preserve product quality for up to 21 days during storage at both room and cold temperatures. This study aims to assess the effectiveness of retort pouch packaging in maintaining the quality of satay products by examining their physical, chemical, and microbiological properties after being packaged in retort pouches and stored for 21 days. The research employed a completely randomized design with a factorial arrangement of 2 factors and 4 replications.. Replications were taken for each temperature and storage time. The results showed a significant interaction between cold temperature treatment and storage for up to 21 days, maintaining pH values, water activity, and microbiological quality. Furthermore, the interaction between room temperature and cold temperature treatment could not significantly affect antioxidant activity and MDA levels (p<0.05). In conclusion, padang satay packaging using retort pouch could improve and maintain physicochemical quality in pH, water activity, and microbiology. However, it could not increase antioxidant activity or reduce the MDA level of the product. [ABSTRACT FROM AUTHOR]

This research aimed to assess the hot air–assisted radio frequency drying (HA‐RFD) of orange slices to evaluate the possibility of producing high‐quality dried orange slices and overcome the problem of the long drying time and the high energy consumption. The effect of electrode distance (60, 70, and 80 mm) and number of slices (1–3 slices; 4 mm thickness per slice) on the HA‐RFD of orange slices was evaluated. Orange slices in three layers with a total thickness of 12 mm and an electrode gap of 70 mm were picked to dry the orange slices in the shortest time. The quality of orange slices dried with HA‐RFD was compared with those of HA‐dried (HAD) and freeze‐dried (FD) samples. HA‐RFD allowed a 67% decrease in the time of drying of the orange slices (from 1170 to 390 min) when compared to HAD. Total phenolic content (TPC), total flavonoid content (TFC), antioxidant activity, and color values were affected by the drying technique. HA‐RFD showed higher TPC, TFC, and antioxidant activity than HAD. The FD samples showed the highest TPC (928 mg GAE/100 g dw), TFC (200 mg rutin/100 g dw), and antioxidant activity (67.58%). Moreover, the samples dried with HA‐RFD resulted in the least color change in comparison to HAD and FD samples. Regarding vitamin C, FD samples were the best, followed by HA‐RFD and HAD, respectively. Considering the final product quality, and the characteristics of drying techniques, especially drying time and drying rate, HA‐RFD proved to be an alternative technique to the HAD for producing dried orange slices. Practical Application: HA‐RFD was applied for the first time as an alternative technology to dry orange slices. The quality of orange samples dried by HA‐RFD was compared with samples that dried by HAD and FD. The results indicated that the HA‐RFD technique is a good method to dry orange slices by considering the drying characteristics and the final product quality. [ABSTRACT FROM AUTHOR]

How should brands present quantity discounts to increase consumer appeal? We propose that, compared to distributed presentations that spread a discount across units (e.g., buy two, get 30% off on each unit), consolidated presentations that place the discount on a single unit (e.g., buy two, get 60% off on the second unit) can lead to a higher purchase likelihood. Four studies demonstrate this "discount consolidation effect" across a variety of consumption contexts, product categories and price levels. The studies show that this effect occurs because compared to consolidated presentations of a quantity discount, distributed presentations can lead to less favorable perceptions about the quality of the discounted product and about the savings offered. We also identify an important boundary condition, illustrating that when the discount offered is substantively small in size, the effect is attenuated. These findings add to the theoretical literature and offer actionable managerial insights. [ABSTRACT FROM AUTHOR]

Summary: Three freeze–thaw (FT) pre‐treatments using different freezing methods that freezing at −80 °C (FT‐80), freezing at −25 °C (FT‐25) and vacuum freezing (VFT) were used for carrot slices, the effects and mechanisms of FT pre‐treatment on the drying characteristics and product quality of carrots during microwave freeze drying (MFD) were studied. The results showed that FT pre‐treatment under different freezing methods affected the water state of carrots, resulting in varying degrees of moisture loss and shortening drying time by 14.3% to 42.8%. VFT treatment caused the greatest water loss (35.33%) during FT and significantly increased the effective moisture diffusivity in the MFD process. FT treatments did not cause any significant degradation in the colour of the carrots. The VFT and FT‐80 treatments resulted in an elevated rehydration ratio, increased crispiness of MFD carrots and products with a porous microstructure and higher porosity. In contrast, the FT‐25 treatment led to a decrease in porosity due to destructive damage to the carrot cell structure. However, this damage favoured the extractability of carotenoids, resulting in a higher carotenoid content than the other treatments. This study provides a theoretical foundation for the practical implementation of FT pre‐treatment using various freezing methods on fresh foods prior to drying. It is recommended to employ VFT pre‐treatment before MFD due to its efficiency and effectiveness. [ABSTRACT FROM AUTHOR]

The influence of chromium‐bearing filler sand on the transformation of inclusions in high‐Mn and high‐Al steel under various reaction times and Mn content levels is studied, and the mechanism of filler sand intrusion into the steel matrix is analyzed. It is demonstrated that an inclusion containing Cr2O3 is discovered. The evolution pathway of oxide inclusions is identified as Al2O3–MnO → Al2O3–MnO–SiO2 → Al2O3–MnO–SiO2–Cr2O3(Cr2O3 + MnO–SiO2) → Al2O3–MnO–Cr2O3–MgO·Al2O3. It is noteworthy that Cr2O3 inclusions tend to diffuse from the outside inward, but the internal content remains almost unchanged, which is due to the strong diffusion hindrance of SiO2. The formation of a liquid phase in the filler sand is a necessary condition for its infiltration into the steel matrix. The critical liquid‐phase content that results in the formation of Cr2O3 inclusions is 42%, which contains 5–8% of Cr2O3. The formation of pore channels provides favorable conditions for sand penetration, with the maximum penetration depth reaching up to 29 mm. Large sand inclusion particles reach millimeter scale in size and are distributed quite randomly. Chemical reactions at the steel/sand interface can lead to an increase in the total oxygen (T.O) content in the steel. The reaction time has little effect on the T.O content, while the Mn content in the steel has a significant impact, with an increase of up to 41 ppm. During the smelting stage, the filler sand can enter the molten steel, thereby affecting the quality of the product. [ABSTRACT FROM AUTHOR]

Three-level control charts have been developed for monitoring processes where the quality of products is characterized by classifying the product characteristic into three discrete levels. In this article, a combined double sampling and variable sampling interval (DSVSI) attribute control chart is developed for monitoring three-level products. This research is motivated by recent studies done on combining the DSVSI scheme with traditional attribute charts and their results recommend the application of the DSVSI attribute charts. The proposed DSVSI three-level chart is compared with the existing standard, adaptive, and EWMA three-level charts. The results approve the superiority of the proposed scheme and recommend it as an efficient three-level control chart in application. An example is also provided to illustrate the application of the proposed chart. [ABSTRACT FROM AUTHOR]

This paper aims to assess how young consumers' sense of responsibility for sustainable consumption affects the likelihood of purchasing local brands. We consider the mediating factors of local brand experience, image, and quality, along with ethnocentrism as a precursor to quality and local brand purchase likelihood, while controlling for gender and age. Drawing on the Theory of Reasoned Action and Norm Activation Model, we propose ten hypotheses to be examined through a quantitative research design. The findings indicate a positive correlation between consumer responsibility for sustainable consumption and the likelihood of purchasing local brands, both directly and indirectly through the experience and image of local brands. The influence of local brand quality is mediated by image, and there is no substantial evidence regarding the role of ethnocentrism. [ABSTRACT FROM AUTHOR]

AbstractAccurate prediction of moisture content is significantly crucial for ensuring process stability and product quality in the cylinder drying process. However, the drying process exhibits complex spatio-temporal characteristics and strong interference, which make accurate prediction challenging for the deep learning approach. To address this issue, this article proposes a new spatio-temporal attention-based bidirectional long-short temporal memory network (STA-BiLSTM) model for accurate moisture content prediction. First, Maximum Relevance Minimum Redundancy (mRMR) is adopted to identify optimal features highly related to moisture content. Secondly, bidirectional long-short temporal memory (Bi-LSTM) network is utilized to extract temporal dependencies from the sequential data. Subsequently, spatio-temporal attention mechanisms are designed to adaptively focus on the most relevant features and timesteps, enhancing the model’s generalization ability. Finally, due to the harsh industrial environment, eXtreme Gradient Boosting (XGBoost) is adapted to improve generalizability and robustness. Extensive experiments on a real industrial dataset of the drying process demonstrate that the proposed STA-BiLSTM approach significantly outperforms alternative approaches for predicting moisture content, validating its effectiveness and superiority. [ABSTRACT FROM AUTHOR]

Image analysis is becoming increasingly popular in many industries. Its use is perfect for, among other things, assessing the quality of products on or off the production line. Highly automated, high-performance systems can be used for this purpose. However, there are situations in which automated vision systems cannot be used on the production line due to the specific nature of the process. One such situation is testing the resistance of paint applied to glass when washing in automatic dishwashers. It is carried out outside the production line, and typical production vision systems are not used here. An attempt was made to develop a cheap and easy-to-implement research method enabling quantitative measurement of paint loss on glass when testing the coating's resistance to automatic washing. For this purpose, analysis of images taken during the study was carried out. The developed method is based on taking a series of photos of the tested object between each stage of the wash resistance test. The obtained photographic material is then analyzed by measuring the size of paint losses expressed in the number of pixels. Then, the percentage of paint loss is calculated. This method is cheap to implement and highly accurate. Statistical analysis of the results confirmed the method's accuracy at 98%. [ABSTRACT FROM AUTHOR]

Dried yellow chili is highly appreciated by consumers due to its excellent quality and flavor. The quality of products is determined by the drying and storage methods. In this study, dried yellow chilis were processed by natural air drying and hot air drying methods and then stored under three conditions: ambient temperature, ambient temperature with light avoidance, and at 10 °C with light avoidance for 12 months. The changes in the bioactive compounds during this period were analyzed attempting to reveal correlations between the different treatments and these compounds, with the aim of providing references for maintaining the bioactive compounds of pepper products. The results showed that samples treated with hot air had higher levels of fatty acids, resulting in a more pronounced flavor. During storage, samples stored at 10 °C with light avoidance were more effective in preserving soluble solids, total protein content, total phenols, capsaicinoids and most fatty acids. [ABSTRACT FROM AUTHOR]

Manufacturing and testing of pharmaceutical products frequently occur in multiple facilities within a company's network. It is of interest to demonstrate equivalence among the alternative testing/manufacturing facilities to ensure product consistency and quality regardless of the facility where it was manufactured/tested. In the Frequentist framework, equivalence testing is well established when comparing two labs or manufacturing facilities; however, when considering more than two labs or production sites, the Frequentist approach may not always offer appropriate or interpretable estimates for demonstrating equivalence among all of them simultaneously. This paper demonstrates the utility of Bayesian methods to the equivalence assessment of multiple groups means, with a comparison against traditional Frequentist methods. We conclude that a Bayesian strategy is very useful for addressing the problem of multi-group equivalence. While it is not our intention to argue that Bayesian methods should always replace Frequentist ones, we show that among the advantages of a Bayesian analysis is that it provides a more nuanced understanding of the degree of similarity among sites than the hypothesis testing underpinning the Frequentist approach. [ABSTRACT FROM AUTHOR]

The Tibetan sheep industry is a typical representative of plateau animal husbandry and grassland animal husbandry and is also one of the characteristic industries in the Qinghai-Tibet Plateau region. The study of this industry is of great significance to promoting the high-quality development of animal husbandry and the region. Based on the production data and statistical data of Tibetan sheep in the main producing areas of Qinghai Province, this paper adopts the entropy method and the coupling coordination degree model to study the high-quality development of animal husbandry in Qinghai province from five dimensions: product quality, production efficiency, economic benefits, environmental friendliness and environmental conditions. The results showed that the high-quality development level and coupling coordination degree of the Tibetan sheep industry in Haibei Prefecture, Hainan Prefecture, Haixi Prefecture and Huangnan Prefecture of Qinghai Province showed an upward trend from 2015 to 2020. Among them, the high-quality development level of the Tibetan sheep industry in Haibei Prefecture and Hainan Prefecture of Qinghai Province significantly increased from 2019 to 2020, but the coupling coordination degree decreased. [ABSTRACT FROM AUTHOR]

BACKGROUND RESULTS CONCLUSION Baijiu is a traditional Chinese liquor produced from grains through fermentation, distillation, aging and blending. The flavor of Baijiu is influenced by factors such as raw materials, starter, processes and the environment, and since the relationship between these factors and the flavor of Baijiu is still being analyzed, the identification of different Baijiu is still somewhat difficult. In this paper, the volatile differential markers of 42 types of strong‐aroma Baijiu of different origin, alcohol content and grade were explored.A total of 24 volatile substances were detected by gas chromatography–electronic nose (GC‐E‐Nose) and 99 volatile substances were detected by gas chromatography–time‐of‐flight mass spectrometry (GC‐TOF MS). The peak areas of the substances obtained by GC‐E‐Nose were analyzed by the partial least squares (PLS) method, and the substances with variable importance in projection (VIP) >1 were screened out. Combined with the qualitative results of GC‐TOF MS, four substances (isobutyric acid, 2‐butanone, 2,3‐butanediol and 3‐methylbutyric acid) were selected as volatile differential markers for strong‐aroma Baijiu. An external standard curve was established to accurately quantify these four substances, and the Kruskal–Wallis test confirmed that the absolute contents of these four substances varied significantly among different samples (P < 0.01). Principal component analysis and hierarchical cluster analysis based on the absolute content of these four substances showed that different samples were prioritized for different alcohol contents.These four substances can be used as volatile differential markers of strong‐aroma Baijiu samples. This research provides theoretical support for the detection and improvement of Baijiu product quality. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

In continuous powder handling processes, precise and consistent feeding is crucial for ensuring the quality of the final product. The intermixing effect caused by agitators, which alters the powder's bulk density, flow rate, and flow patterns, plays a significant role in this process, yet it is often overlooked. This study combines discrete element method (DEM) modeling and experiments using a commercial-scale feeder to propose a Digital Twin (DT) framework. The DEM model accurately captures key flow features, such as bypass trajectories, stagnant zones, and preferential flow patterns, while providing quantitative predictions for the feed factor and zones prone to material accumulation. Scenario analysis is performed to identify the most favorable operating ranges of the screw-agitator ratio and screw speed, considering the cohesive properties of the powder. The study demonstrates that powders with poor flow characteristics require tighter operational constraints, as the screw-agitator ratio is susceptible to variations in mass feed rate. This contribution highlights the importance of selecting an appropriate screw-agitator ratio instead of maintaining a fixed value. Properly choosing this ratio helps determine an optimal operation window, which aims to achieve a minimum agitation level needed to induce unhindered flow and reduce variability in the mass flow rate. [ABSTRACT FROM AUTHOR]

Industrial starch oxidations are commonly carried out using sodium hypochlorite (NaOCl). Electrification of this process via continuous generation of NaOCl from sodium chloride (NaCl) in situ has the potential to substantially lower the environmental impact thereof, as brine waste streams are reduced, while occupational health and safety risks associated with the use of NaOCl, such as during transport, handling, and storage, can also be minimized. In the present study, the influence of continuous electrochemical generation of NaOCl from NaCl on the quality of the starch oxidation process is evaluated based on measurements of oxidized starch carboxylate contents (DSCO2H), molecular weights (Mws), and pasting characteristics in comparison to those of commercially available reference oxidized starches produced by oxidation with NaOCl in batch suspension processes. Recycling of the NaCl solution and how this affects the quality of the oxidized starch products is also investigated. By successfully preparing oxidized granular starches almost identical to the reference starches, the results show that it is feasible to electrify the oxidation process and that the original NaCl chloride solution can be recycled at least four times for in situ electrochemical generation of NaOCl. [ABSTRACT FROM AUTHOR]

This article examines ‘the economics of singularities’ by Lucien Karpik, which is a sociological theory explaining the functioning of markets for a specific type of goods, labeled as ‘singularities’, defined according to three criteria: the plurality of qualities, quality uncertainty and the primacy of quality. According to Lucien Karpik, singularities complement the typology of goods traditionally used by economists, consisting of homogeneous and differentiated goods. He argues that singularities represent a ‘blind spot’ of what he calls ‘neoclassical economic theory.’ According to him, while neoclassical economic theory is adequate for studying homogeneous and differentiated goods, an autonomous framework is indispensable for studying singularities. In this article, we propose a comprehensive overview of the economics of singularities, and we formulate a critique of Karpik’s positioning in relation to neoclassical economic theory. [ABSTRACT FROM AUTHOR]

AbstractFixture layout design critically impacts the shape deformation of large-scale sheet parts and the quality of the final product in the assembly process. The existing works focus on developing Mathematical-Optimization (MO)-based methods to generate the optimal fixture layout via interacting with Finite Element Analysis (FEA)-based simulations or its surrogate models. Their limitations can be summarized as memorylessness and lack of scalability. Memorylessness indicates that the experience in designing the fixture layout for one part is usually not transferable to others. Scalability becomes an issue for MO-based methods when the design space of fixtures is large. Furthermore, the surrogate models might have limited representation capacity when modeling high-fidelity simulations. To address these limitations, we propose a learning-based framework, SmartFixture, to design the fixture layout by training a Reinforcement learning agent through direct interaction with the FEA-based simulations. The advantages of the proposed framework include: (i) it is generalizable to design fixture layouts for unseen scenarios after offline training; (ii) it is capable of finding the optimal fixture layout over a massive search space. Experiments demonstrate that the proposed framework consistently generates the best fixture layouts that receive the smallest shape deformations on the sheet parts with different initial shape variations. [ABSTRACT FROM AUTHOR]

Environmental stress poses serious threats to animal welfare and production, particularly in poultry, which are susceptible to such stress. It can increase susceptibility to diseases and infections, reduce growth rates and reproductive performance, and increase behavioral issues. Environmental stress caused by conventional housing conditions can negatively affect wellbeing and productivity. High temperature, overcrowding, poor ventilation, insufficient lighting, and wire cages are some of the most prominent stressors in conventional housing systems. To address environmental stress in chicken farms, some strategies and tools, such as using anti-stress feed additives and enriching cages, can help improve bird behavioral activities and welfare. Breeders can improve overall bird performance by implementing these strategies and creating a more enriched and comfortable environment. Thus, this review discusses the importance of using different feed additives and environmental enrichment materials to reduce stress in chicken farms (broiler and layer) and improve bird productivity and well-being. [ABSTRACT FROM AUTHOR]

Products and services are developed to realize chances on the market. Often, development teams are focusing primarily on the potential chances rather than on the corresponding risks of new products and services. However, it is possible to integrate the product and service quality risks early into the development procedures for a balanced and holistic view. The integration enables systematic mitigation and quality assurance actions to handle the risks. The article analyzes the literature related to quality risk approaches, identifies mature and generally applicable product and service risk approaches, and gives selected approach examples about its methodical evolution and how it can be integrated into the development procedures including soft‐skills development such as employee awareness and systematical training within organizations. A case study in the Group IT of the Volkswagen AG is discussed. [ABSTRACT FROM AUTHOR]

During software evolution, decisions related to components' origin or source significantly impact the quality properties of the product and development metrics such as cost, time to market, ease of maintenance, and further evolution. Thus, such decisions should ideally be supported by evidence, i.e., using previous experiences and information from different sources, even own previous experiences. A hindering factor to such reuse of previous experiences is that these decisions are highly context‐dependent and it is difficult to identify when previous experiences come from sufficiently similar contexts to be useful in a current setting. Conversely, when documenting a decision (as a decision experience), it is difficult to know which context factors will be most beneficial when reusing the experience in the future. An interview study is performed to identify a list of context factors that are perceived to be most important by practitioners when using experiences to support decision‐making for component sourcing, using a specific scenario with alternative sources of experiences. We observed that the further away (from a company or an interviewee) the experience evidence is, as is the case for online experiences, the more context factors are perceived as important by practitioners to make use of the experience. Furthermore, we discuss and identify further research to make this type of decision‐making more evidence‐based. [ABSTRACT FROM AUTHOR]

The fashion industry continues to experience rapid development, providing great business opportunities, especially in the shoe sector. The Compass company as one of the local shoe manufacturers in Indonesia faces intense competition, which requires them to continue to innovate and improve product quality in order to achieve competitive advantage. This study aims to determine the effect of innovation and product quality on the competitive advantage of Compass products. The research method used is quantitative method with descriptive-causality research type. Sampling was carried out using non-probability sampling technique saturated sampling type with 100 respondents. Data were analyzed using multiple linear regression analysis. The results showed that product innovation has a significant effect on competitive advantage with a t value of 5.512> t table 1.988, and product quality also has a significant effect on competitive advantage with a t value of 4.510> t table 1.988. Simultaneously, product innovation and product quality have an effect of 60.6% on competitive advantage, while 39.4% is influenced by other variables outside this study. The conclusion of this study is that product innovation and quality play an important role in creating a competitive advantage for Compass products. [ABSTRACT FROM AUTHOR]

The aim of the present research is to investigate the effect of the destination brand equity on domestic and foreign tourists emphasizing their satisfaction and trust regarding the tourism destination of Bamyan province in Afghanistan. This province is a famous and important part of the central plateau, which is the property of ancient civilization. Its distance from Kabul is 245 km. The research is applied, descriptive and correlational. The population of the study includes tourists of Bamyan tourism destination. The sample size based on Morgan's table for an unlimited community was equivalent to 384 tourists, and finally 387 questionnaires were analyzed. The research findings indicate the destination brand awareness has a positive and significant effect on the destination brand quality (services and natural). The destination brand quality (services and natural) have a positive and significant effect on the destination brand value (functional and hedonic). The above-mentioned values have a positive effect on the destination brand trust. The destination brand trust has a significant effect on the destination brand satisfaction. Moreover, the destination brand satisfaction has a significant effect on brand introduction and tourists' re-visit. This study examines the special value of the tourist destination brand for one of the lesser known tourist destinations in Afghanistan, namely Bamyan province and its attractions. The effect of this value on tourists' satisfaction and loyalty has also been measured. [ABSTRACT FROM AUTHOR]

During the hydrolysis process of caprolactam to produce polyamide 6, a considerable number of cyclic oligomers are inevitably formed. Among these, the cyclic dimer, with its propensity for aggregation, poses significant challenges to both process safety and product quality. Thus, understanding the characteristics of cyclic oligomers is crucial for ensuring process safety and enhancing product quality. This paper employs a personification approach to vividly describe the properties of cyclic oligomers, elucidating the formation mechanism of cyclic dimers, delineating the behavior of crystal phase transitions, and highlighting the detrimental effects of cyclic dimers on industrial production. Moreover, it proposes methods for process optimization. [ABSTRACT FROM AUTHOR]

In order to predict the sealing quality of the differential assembly of forestry timber tranpsort vehicle trucks beforehand and improve the quality of its products and the assembly qualification rate, a prediction model based on grey correlation analysis algorithm combined with particle swarm (PSO) optimized BP neural network is proposed. The key assembly process parameters affecting the sealing quality of differential assembly screened out by the grey correlation analysis algorithm are taken as input variables, and the leakage value of differential assembly is taken as output variable to create a prediction model based on particle swarm algorithm optimized BP neural network, and the results show that the PSO-BP prediction method simplified by the grey correlation analysis obtains the smallest average relative error of 1. 18%. On this basis, PyQt5 GUI library is applied to develop a differential assembly leakage value prediction system. The results of the study can provide a theoretical basis for the prediction of differential assembly sealing quality. [ABSTRACT FROM AUTHOR]

This paper investigates the dynamics of product adoption under incomplete information regarding the product quality. A new agent observes a small sample of product choices within the population and receives a noisy private signal regarding the realized state of the world. Using simple heuristics, the agent estimates both the product quality and the distribution of product choices in the population. The agent then chooses a product that is a best response to this estimate. We show that fast adoption of the optimal product in the population occurs if and only if the strength of the private signal exceeds a certain threshold. [ABSTRACT FROM AUTHOR]

INTRODUCTION: Quality assurance refers to establishing and maintaining a certain level of quality in a product or service. Therefore, quality assurance in a medical lab refers to making sure the lab is running smoothly, safely, and effectively without any errors. MATERIAL AND METHODS: The questionnaires was used to test the knowledge, attitude and practice regarding quality assurance of 80 laboratory technicians. There were 32 knowledge, 14 attitude and 22 practice related questions. The data obtained was entered in microscoft excel sheet and statistical analysis was done. A 4 point likert’s scale was used to assess the attitude of the participants. RESULTS: The study population consists of 80 laboratory technicians out of which 58% were female and 42% male participants. A considerable lack of knowledge was seen regarding laboratory safety manual. A positive attitude was observed on all aspects of quality assurance. When practice regarding quality assurance was assessed, it was noticed that 89.9% of laboratory technicians knew the source of External Quality Assurance (EQAs) for the laboratories. A potential area of deficiency was also identified. CONCLUSION: This study reveals a good knowledge and positive attitude regarding quality assurance in diagnostic laboratories. But a potential area of deficiency was also identified mainly due to lack of experience of the technicians. [ABSTRACT FROM AUTHOR]

Emulsification processes are often found in the process industry and their evaluation is crucial for product quality and safety. Numerous methods exist to analyze critical quality attributes (CQA) such as the droplet sizes and droplet size distribution (DSD) of an emulsification process. During the emulsification process, the optical process accessibility may be limited due to high disperse phase content of liquid-liquid systems. To overcome this challenge, a modular, optical measurement flow cell is presented to widen the application window of optical methods in emulsification processes. In this contribution, the channel geometry is subject of optimization to modify the flow characteristics and produce high optical quality. In terms of rapid prototyping, an iterative optimization procedure via SLA-3D printing was used to increase operability. The results demonstrated that the flow cell resulting from the optimization procedure provides a broad observation window for droplet detection. [ABSTRACT FROM AUTHOR]

Summary: This study aimed to investigate the antioxidant and protease activities of red kiwifruit (RK), green kiwifruit (GRK), and gold kiwifruit (GOK) and determine the effects of various packaging methods on the quality of chicken breast injected with various kiwifruit types during storage. The physicochemical and textural properties of chicken breasts containing various kiwifruit types were evaluated. Chicken breasts were injected with brine solution containing 5% kiwifruit powder, and their product quality was measured every 3 days until day 9. GOK and RK addition to chicken breast delayed oxidation during storage. Adding GOK and GRK to chicken breast was found to increase tenderness. Modified‐atmosphere packaging (MAP) delayed microbial growth more effectively than over‐wrap packaging (OWP). These findings suggest that the combination of GOK and MAP potentially extends shelf‐life without deteriorating quality. [ABSTRACT FROM AUTHOR]

There are many factors to consider when selecting a container closure system for parenteral drug products to maintain their quality, efficacy, and safety. One aspect to consider for products stored in glass vials is the glass type. Although the glass vials in which most parenteral products are stored are classified as Type I by the United States Pharmacopoeia, Chapter <660>, not all glass vials that meet the glass performance characteristics of Type I are equivalent. In the study presented here, Type I glass vials from three suppliers of three different Type I glass vials (standard, delamination control, and coated) were investigated to evaluate the impact that each Type I glass vial had on the stability of a drug product under development. To evaluate this impact, a three-phase study was conducted in which the compatibility between the drug product and each vial was assessed through the measurement of the critical quality attributes of the product, extractable and leachable inorganic elements were analyzed for each vial, and finally a stability study under accelerated conditions was conducted for the drug product in the most compatible vial based on the aforementioned experiments. Results from this study demonstrated that there are, in fact, significant differences in glass vials regardless of their classification as Type I. In the study conducted here, delamination control Type I glass vials were found to be superior to both Standard Type I and coated Type I vials for the drug product under investigation. [ABSTRACT FROM AUTHOR]

Fermentable oligo-, di- and monosaccharides and polyols (FODMAP) comprise several previously unrelated carbohydrates, such as fructans, fructo-oligosaccharides, galacto-oligosaccharides, fructose (in excess of glucose), mannitol and sorbitol, and among others. For many patients with gastro-intestinal disorders, such as irritable bowel syndrome, the ingestion of FODMAP triggers symptoms and causes discomfort. Among the main contributors to the dietary FODMAP intake are baking products, in particular bread as a major global staple food. This is primarily due to the fructan content of the cereal flours, but also process induced accumulation of FODMAP is possible. To provide low-FODMAP baking products, researchers have investigated various approaches, such as bio-process reduction by yeast, lactic acid bacteria, germination of the raw material or the use of exogenous enzymes. In addition, the selection of appropriate ingredients, which are either naturally or after pretreatment suitable for low-FODMAP products, is discussed. The sensory and nutritional quality of low-FODMAP baking products is another issue, that is addressed, with particular focus on providing sufficient dietary fiber intake. Based on this information, the current state of low-FODMAP baking and future research necessities, to establish practical strategies for low-FODMAP products, are evaluated in this article. [ABSTRACT FROM AUTHOR]

Enzymes are widely used in the food industry due to their ability in improving the functional, sensory, and nutritional properties of food products. However, their poor stability under harsh industrial conditions and their compromised shelf-lives during long-term storage limit their applications. This review introduces typical enzymes and their functionality in the food industry and demonstrates spray drying as a promising approach for enzyme encapsulation. Recent studies on encapsulation of enzymes in the food industry using spray drying and the key achievements are summarized. The latest developments including the novel design of spray drying chambers, nozzle atomizers and advanced spray drying techniques are also analyzed and discussed in depth. In addition, the scale-up pathways connecting laboratory scale trials and industrial scale productions are illustrated, as most of the current studies have been limited to lab-scales. Enzyme encapsulation using spray drying is a versatile strategy to improve enzyme stability in an economical and industrial viable way. Various nozzle atomizers and drying chambers have recently been developed to increase process efficiency and product quality. A comprehensive understanding of the complex droplet-to-particle transformations during the drying process would be beneficial for both process optimization and scale-up design. Highlights: Encapsulation of enzyme using spray drying is a versatile approach for improving enzyme stability and shelf-life in food industry. This paper gives an overview of recent development and progress in enzyme encapsulation using spray drying. Emerging spray drying techniques and novel design of spray drying chambers and atomizers are summarized. Ex ante process simulations and technoeconomic analysis are also presented providing critical insights for commercial production of encapsulated enzymes. [ABSTRACT FROM AUTHOR]

The significance of product freshness is heightened by the health-conscious market and the current circumstances. The quality of the product declines with time. In this case, the retailer implements a strategy of gradually reducing the selling price over time to mitigate the effects of product degradation. As a consequence, demand keeps growing over time. The demand for a product depends upon both its freshness and the price at which it is sold. In this research, a suggested retailer-customer supply chain for a fresh produce item is examined. The retailer implements a partial credit policy for the customer in order to increase the retailer's order volume. The credit amount and credit period are found to be time-dependent in an increasing way. The optimal choice is determined by maximizing the total profit derived from the system. An optimization technique called particle swarm is developed, evaluated, and employed for the search process. According to the findings of this study, even if a merchant extends the credit term while a fresh product's quality declines, overall profit will not improve since buyers would not jeopardize their health. A few examples are used to illustrate the concept. [ABSTRACT FROM AUTHOR]

Inadequate understanding of mixing dynamics can result in compromised product quality, increased production expenses and revenue loss. This study utilizes vibrometer measurements in both baffled and unbaffled eccentric flat-bottomed stirring vessels, containing a trisodium phosphate–water mixture, to investigate the impact of baffles on reducing vibrations. Through examining the effect of different configurations of baffles, this research effectively eliminates vortices and vibrations generated during agitation, consequently reducing maintenance frequency. Additionally, computational fluid dynamics (CFD) analysis is conducted on baffled and unbaffled stirred tanks, revealing streamlined patterns and mean velocities. By solving the Reynolds-averaged Navier–Stokes (RANS) equations with the k–ε turbulence model, obtained results reveal the importance of baffles in reducing vibrations and vortices while stabilizing the free-surface. However, balancing the number of baffles with impeller blades is crucial to prevent vibration regeneration. [ABSTRACT FROM AUTHOR]

In the context of Industry 4.0, integrating Digital Twin (DT) technology stands out as a critical challenge for enhancing manufacturing processes and productivity. The combination of DT and Artificial Intelligence (AI) provides a significant benefit for improving processes in real-time. Industries are actively researching these technologies to keep pace with the rapid evolution of technology, utilizing virtual representations for efficient real-time monitoring and control. The present paper proposes a new approach that relies on DT technology for monitoring, optimizing manufacturing processes and enabling quality control through Deep learning (DL). The proposed methodology involves creating a digital replica of the physical system and utilizing DL models for quality control purposes. This approach improves automation and productivity while maintaining high levels of quality assurance in factories. DL is deployed within the DT for gathering data from the physical system and making predictions regarding product quality. The approach is illustrated by considering an experimental industrial prototype. The results obtained are particularly intriguing, demonstrating heightened predictive accuracy in assessing product quality and real-time issue resolution. Overall, the findings underscore the significant and interesting impact of DT technology with DL on manufacturing processes in the context of Industry 4.0. [ABSTRACT FROM AUTHOR]

Since the COVID-19 pandemic, the interest in RNA-lipid nanoparticle (LNP) based drug products has increased drastically. While one RNA-LNP drug product, Onpattro, was already on the market in 2018, high volume manufacturing was only initiated end of 2020 with the approval of the mRNA-LNP vaccines, Comirnaty and Spikevax. As such, deep product knowledge for RNA-LNPs is continuously increasing. In this article the effect of large-scale mixing and lab-scale shaking on mRNA-LNP drug product quality characteristics is investigated. It is shown that mixing and shaking can have a profound impact on both LNP size distribution and mRNA encapsulation, suggesting a direct correlation between both quality characteristics, and further supported by a proposed underlying mechanism. An in-depth investigation of different drug product (DP) presentations reveals a consistent effect of headspace volume and LNP content on the shaking stress sensitivity. Results reported in this study are of utter importance for both small- and large-scale manufacturers but also for care givers and patients using these products. [ABSTRACT FROM AUTHOR]

Highlights Carbon Fiber Reinforced Polymers (CFRP) is one of the ideal materials in the field of automotive lightweight. As one of the traditional manufacturing processes of CFRP, autoclave process has long production time, high cost and complicated operation. To overcome these shortcomings, deep drawing can be used for CFRP forming. It has the advantages of stable product quality, good repeatability, low cost, simple operation and can produce parts with complex shapes. In this paper, the influence of lay‐up sequences on the drawability of cylindrical parts was studied by using self‐made deep drawing device. The results showed that among the four lay‐up sequences [0]°12, [0/90]°6, [0/90/45/‐45/90/0]°S and [15/30/……/180]°, the [15/30/……/180]° lay‐up parts had excellent deformation coordination ability due to less angular variation in the fiber direction, and the maximum depth of 21.99 mm could be obtained. Due to the influence of wrinkles, the thickness of [15/30/……/180]° parts increased at the die corner and side wall. The thickness decreased at the flange, punch corner and bottom due to the compressive pressure. In addition, [15/30/……/180]° lay‐up parts benefited from the high level of in‐plane isotropy of the helicoidal structure, it had the fewest forming defects. The resin poor areas and resin rich areas were less and no fiber cracks were found. Investigated the influence of lay‐up sequences on the drawability of CFRP. The forming depth of [15/30/……/180]° parts was 21.99 mm. [15/30/……/180]° lay‐up parts had the best drawability. No cracks were found on the [15/30/……/180]° part. [ABSTRACT FROM AUTHOR]