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Copyright of Uranium Geology is the property of Uranium Geology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The present article aims to determine the green economic policies of an inventory model for non-instantaneous deteriorating items under practical scenarios. These scenarios involve specific maximum lifetimes for items with deteriorations controllable through investments in preservation technologies, which can affect the period without deterioration. Additionally, carbon is emitted due to energy-related costs, prompting retailers to invest in green technology investments to reduce carbon emissions concurrently under the carbon tax policy and the carbon cap-and-trade policy simultaneously. Meanwhile, when a retailer is required to make a prepayment, the purchase discount policy is contingent on the number of installments offered. This means that the retailer prepays off the entire purchasing cost with a single installment, thereby receiving a maximum percentage of price discount. Otherwise, the retailer prepays a certain fraction of the purchasing cost with multiple installments, and the percentage of the price discount will be contingent on the number of n identical installments. In this context, we present theoretical results for optimal solutions, and a salient algorithm is presented, which is derived from these theoretical findings within a sustainable inventory system. To better illustrate the proposed mathematical problems, several numerical examples are presented, followed by sensitivity analysis for different scenarios. [ABSTRACT FROM AUTHOR]

In real-world inventory problems, the deterioration rate is usually treated as an uncontrolled factor. However, by adopting certain preservation techniques, such deterioration rate can be controlled up to a desired level. Moreover, in certain business affairs, the supplier also provides a permissible delay in payment to encourage the vendors to have further sales. In this paper, we develop an inventory model that considers the power pattern demand under trade credit, permissible completely backlogged shortages, and suitable investment in preservation technology. Additionally, to make the model more realistic, we apply the learning effect to the holding costs. We develop the mathematical model of the problem and its solving policy in both crisp and fuzzy environments. The main purpose of the model is to obtain the optimum preservation technology-based cost and cycle time that maximize the overall profit. Furthermore, to validate our findings, we consider numerical examples and subsequently demonstrate the concavity of the profit function via Mathematica 11.1.1 software. Finally, we study the sensitivity analysis and accordingly present several managerial insights for the benefit of inventory managers. [ABSTRACT FROM AUTHOR]

The present chapter developed a preservation-based inventory model under the condition of carbon emissions and the effect of learning on perishable goods. Carbon emissions exit from many sources and affect the greening level of the environment. It is considered that carbon emissions exit due to electricity and also for many more reasons. Finally, total inventory cost will be minimized concerning the cycle length. For the validation of this model, a numerical example has been given and briefly justified with the help of sensitivity analysis. The effect of inventory parameters has shown separately in the sensitivity section.

Copyright of Storage & Process is the property of Tianjin Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Supply-chain management involves moving storage supplies from origin to consumption, with manufacturers running production based on quadratic demand, distributors and retailers monitoring inventory. When a new product is released, demand often rises linearly and then declines dramatically when an alternative becomes available. Shortages are not allowed. Players' inventory will decrease at a rate of (1/(1+m-t)), where m is fixed lifetime, greater than the replenishment time. Deteriorating goods experience constant mass loss or usefulness, but preservation technology can help the damaged item to be consumed. Retailers with direct customer relationships can reduce stock spoilage through good warehouses. Manufacturers' storage systems have a higher deterioration rate. Two-tier trade credit financing is examined in this model. Distributors offer specific credit terms to stores, while manufacturers provide a grace period for invoicing. Distributors and retailers must pay interest on unsold inventories if invoices aren't settled on time. An integrated storage system reduces costs by minimizing costs through multiple shipments from manufacturers to distributors and retailers, and by adjusting replenishment times for each player. The resolution process is designed so that the supply chain operator gets the best possible decision. Therefore, results are authorized using mathematical examples for different scenarios. Management decisions are suggested. [ABSTRACT FROM AUTHOR]

Strawberries spoil rapidly after harvest due to factors such as the ripening process, weight loss, and, most importantly, microbial contamination. Traditionally, several methods are used to preserve strawberries after harvest and extend their shelf life, including thermal, plasma, radiation, chemical, and biological treatments. Although these methods are effective, they are a concern from the perspective of safety and consumer acceptance of the treated food. To address these issues, more advanced environment‐friendly technologies have been developed over the past decades, including modified and controlled atmosphere packaging, active biopolymer‐based packaging, or edible coating formulations. This method can not only significantly extend the shelf life of fruit but also solve safety concerns. Some studies have shown that combining two or more of these technologies can significantly extend the shelf life of strawberries, which could significantly contribute to expanding the global supply chain for delicious fruit. Despite the large number of studies underway in this field of research, no systematic review has been published discussing these advances. This review aims to cover important information about postharvest physiology, decay factors, and preservation methods of strawberry fruits. It is a pioneering work that integrates, relates, and discusses all information on the postharvest fate and handling of strawberries in one place. Additionally, commercially used techniques were discussed to provide insight into current developments in strawberry preservation and suggest future research directions in this field of study. This review aims to enrich the knowledge of academic and industrial researchers, scientists, and students on trends and developments in postharvest preservation and packaging of strawberry fruits. [ABSTRACT FROM AUTHOR]

In this study, an emerging type of packaging film containing polyvinyl alcohol and sesbania gum as the matrix and tea tree oil hydroxyapatite microspheres as the active ingredients was developed. The effect of this film on the postharvest quality of the Agaricus bisporus stored for 12 days at 4 °C was investigated. The experimental results revealed that the novel packaging film enhanced the activities of antioxidant enzymes, such as SOD and CAT, reduced the weight loss in the Agaricus bisporus. On the last day of storage, the hardness was 11.5 N, malondialdehyde content was 1.42 nmol/g, and the total colony count was 5.16 log10 cfu/g, which were better than those of other groups, the mushrooms in this treatment group also maintained a fine whiteness appearance. According to the findings, the packaging film can effectively maintain the quality of Agaricus bisporus, thereby facilitating its use as a novel active packaging material. [ABSTRACT FROM AUTHOR]

Copyright of Storage & Process is the property of Tianjin Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Time, price, and servicing are three important factors which affect the demand for any product. In a multi-period inventory model, different pricing in different periods may have a positive impact on demand. Offering discounts to customers during a shortage period is an efficient way to reduce lost sales. To address all these issues, a multi-period inventory model is developed and analyzed in this paper to obtain optimal pricing and replenishment periods where the market demand depends on price, time and service level provided by the retailer. The time horizon is fixed; the replenishment cycles are of equal length, but the shortage period may vary in different cycles. The retailer is allowed to charge different prices in different periods and provide discounts if someone places demand during a shortage period. Learning effects in holding and ordering costs are considered. Under a dynamic pricing framework, this study examines service improvement through learning and price discounts during shortages as an incentive for customers. It demonstrates that discounting indeed helps to produce more revenue when the back-order rate is low, and the service level is critical in generating demand when the stock-out period is lengthy, revealing a critical relationship between shortage periods and service level. A numerical experiment is performed to investigate the optimal policy in different situations and obtain some managerial insights. [ABSTRACT FROM AUTHOR]

The primary objective of this article is to develop a mathematical model and determine the optimal policies of an inventory system involving power demand and controlled deterioration through preservation technology. This model comes in handy in a power demand-oriented inventory system with demand high at the end of the period. The model incorporates backlogged shortages and linear holding cost. The triangular neutrosophic numbers (TNN's) are used for a nuanced representation of uncertain and imprecise inventory-related expenses. An efficient algorithm is constructed to minimize the total cost, and obtain optimal positive inventory time, optimum cycle time and minimum preservation technology investment. Few numerical examples are used to illustrate and validate the model. The comparative study conducted between models with and without preservation technology investment reveals a significant reduction in total inventory costs facilitated by the preservation facility. Also, the numerical results obtained in crisp and neutrosophic environment are compared. Specific previously obtained results are discussed to illustrate the theoretical findings. Sensitivity analysis of the model provides managerial insights replicating reality. [ABSTRACT FROM AUTHOR]

This paper considers a two-echelon supply chain consisting of a manufacturer and a retailer in which the manufacturer faces a random production disruption risk. The manufacturer replenishes the unproduced items to fulfil the retailer's order from the secondary market at a higher price. To attract more customers, this paper considers a customer's demand dependent on product selling price, stock level, and freshness level of the fresh items. Furthermore, this paper considers preservation technology investment (PTI) to mitigate the deterioration rate of the items and carbon tax regulation to curb down carbon emissions revealed from the supply chain activities. The Stackelberg game approach with a leader–follower relationship is used considering the manufacturer as a leader and the retailer as a follower. Several theorems are developed to illustrate the concavity of the profit function and to find out the optimal solutions in which the objective is to maximize the manufacturer's total profit subject to the minimum total cost that the retailer is willing to incur. Several numerical examples are presented to illustrate the proposed models and the obtained results are compared for with and without carbon tax policy. Finally, sensitivity analysis with some key managerial insights is given to demonstrate the model. The results show that a product's freshness level influences consumers' decision to buy more, and that's why the freshness level is an important competitive tool to increase sales as well as the supply chain's total profit. [ABSTRACT FROM AUTHOR]

Highly prized for its unique taste and appearance, pitaya is a tasty, low-calorie fruit. It has a high-water content, a high metabolism, and a high susceptibility to pathogens, resulting in an irreversible process of tissue degeneration or quality degradation and eventual loss of commercial value, leading to economic loss. High quality fruits are a key guarantee for the healthy development of economic advantages. However, the understanding of postharvest conservation technology and the regulation of maturation, and senescence of pitaya are lacking. To better understand the means of postharvest storage of pitaya, extend the shelf life of pitaya fruit and prospect the postharvest storage technology, this paper analyzes and compares the postharvest quality changes of pitaya fruit, preservation technology, and senescence regulation mechanisms. This study provides research directions for the development of postharvest storage and preservation technology. [ABSTRACT FROM AUTHOR]

Chilled meat is favored by consumers because of its fresh, low price and high nutritive value. However, it is susceptible for microbial contamination in slaughtering, processing, marketing and other links, as well as the change of its color, odor and other qualities, which results in short shelf life, even losing its edible value and other problems of chilled meat, restricting the further development of the fresh meat industry. Therefore, the preservative preservation technology is particularly important in China's meat food, and it has a wide range of application prospects in the development of meat food industry. This paper describes the main reasons for the corruption and deterioration of chilled meat, including microbial contamination, lipid oxidation and discoloration of myoglobin. Besides, it elaborates on chemical preservation technologies such as organic acids, microbial metabolites and physical preservation technologies such as packaging technology, irradiation technology, etc., and their anticorrosion mechanisms. In addition to enumerating the status quo of its application in the preservation of meat, analyzing the advantages of preservation technology and its limitations in the development, and making future research proposals for the development of meat food. In addition, it lists the current status of its application in meat preservation, analyzes the advantages of the preservation technology and its limitations in application, and makes prospects for future preservation technologies, with a view to providing a certain theoretical basis for the further in-depth research on the preservation technology for the preservation of the preservation of cold meat as well as the preservation of fresh meat.

The primary objective of this article is to develop a mathematical model and determine the optimal policies of an inventory system involving power demand and controlled deterioration through preservation technology. This model comes in handy in a power demand-oriented inventory system with demand high at the end of the period. The model incorporates backlogged shortages and linear holding cost. The triangular neutrosophic numbers (TNN’s) are used for a nuanced representation of uncertain and imprecise inventory-related expenses. An efficient algorithm is constructed to minimize the total cost, and obtain optimal positive inventory time, optimum cycle time and minimum preservation technology investment. Few numerical examples are used to illustrate and validate the model. The comparative study conducted between models with and without preservation technology investment reveals a significant reduction in total inventory costs facilitated by the preservation facility. Also, the numerical results obtained in crisp and neutrosophic environment are compared. Specific previously obtained results are discussed to illustrate the theoretical findings. Sensitivity analysis of the model provides managerial insights replicating reality.

Copyright of Food & Fermentation Industries is the property of Food & Fermentation Industries and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The present chapter developed a preservation-based inventory model under the condition of carbon emissions and the effect of learning on perishable goods. Carbon emissions exit from many sources and affect the greening level of the environment. It is considered that carbon emissions exit due to electricity and also for many more reasons. Finally, total inventory cost will be minimized concerning the cycle length. For the validation of this model, a numerical example has been given and briefly justified with the help of sensitivity analysis. The effect of inventory parameters has shown separately in the sensitivity section. [ABSTRACT FROM AUTHOR]

Copyright of Storage & Process is the property of Tianjin Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Storage & Process is the property of Tianjin Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Due to fluctuation of the market and several other reasons, most of the parameters related to the production inventory system, like, deterioration rate, demand rate and different costs are not always constants. These parameters involve some sorts of impreciseness which may be represented by stochastic, fuzzy, fuzzy-stochastic, interval, intuitionistic fuzzy, neutrosophic fuzzy, etc. approaches. In this work, a green production model is formulated for deteriorating items in neutrosophic uncertain environment. In this proposed model, customers' demand rates are influenced by their green level and the selling price of the manufacturing goods. Here, it is also considered that the deterioration rate is dependent on preservation investment whereas the production cost is dependent on the product's green level. We have designed, analyzed, and solved the proposed model in crisp, neutrosophic and crispified forms. To illustrate this model numerically, two examples are constructed and solved by an artificial bee colony algorithm. Finally, sensitivity analyses are conducted graphically with respect to some of the system parameters involved in the crispified model. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Food Safety & Quality is the property of Journal of Food Safety & Quality Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Achieving sustainability within today's competitive environment is highly challenging. Therefore, we proposed a supply chain inventory replenishment model incorporating a finite planning horizon. So, to enhance their profit and lessen the total cost and carbon, this research study examines the investment in green (carbon offset) and preservation technologies. Additionally, we analyzed the trade credit duration granted by suppliers to the retailers. Carbon offsets/green technology represent a prevalent and significant measure to reduce carbon emissions. Time becomes a critical factor influencing demand rates in this context, while the degradation of materials affects a vast number of business sectors. Therefore, the cost of investing in preservation or green technology to control the deterioration of the materials, and reduce environmental emissions, the cost for ordering, the holding cost, and the replenishment cycle duration are all calculated. Consequently, a numerical iterative algorithm is prepared to identify the optimized solution for the supply chain approach for inventory control and management challenges. The optimality and uniqueness of the parameters of the proposed research study are furnished with a theoretical, mathematical, tabular, and pictorial analysis. Also, proposed research studies are provided with managerial implications that provide practical insights for industry practitioners. In conclusion, this research not only contributes valuable theoretical insights but also offers a tangible framework applicable to real-world scenarios. [ABSTRACT FROM AUTHOR]

This article will introduce an inventory model for deteriorating items under a ramp-type demand rate. In the sequel, preservation technology has appeared to reduce the deterioration rate of deteriorating items. The deterioration rate is considered time-dependent. Due to ramp-type demand, retailers may face complete and partial backlogged shortages. We suggest the two-warehouse effect when a retailer faces a storage capacity problem. In this model, it would mean for them to borrow the rented warehouse and keep products left from their warehouse. The main objective of this model is to find the optimal decision variables, say cycle time, shortages time, and preservation technology cost. The mathematical formulation with solution procedures, relevant theorems, and algorithms has been developed. Some numerical illustrations will discuss to verify the optimality of the decision variables. We will graphically show the iterative scheme obtained by the solution method and the convexity of the optimal solution. The sensitivity analysis of numerical illustration will be discussed. At last, the managerial implication and conclusion will discuss. [ABSTRACT FROM AUTHOR]

Edible mushrooms are well received by consumers due to their various nutrients and tasty. However, mushrooms are prone to cap opening, browning, rotten and other deterioration phenomena after harvest, which severely limits the development of mushrooms industry. Therefore,this paper summarizes the quality evaluation factors of mushrooms, including sensory quality, intrinsic quality and safety. As an example, the preservation technologies of Agaricus bisporus are summarized, including physical preservation (low temperature preservation, modified atmosphere preservation, radiation preservation, dehydration treatment preservation, magnetic field preservation and electrostatic field preservation), chemical preservation (chemical preservatives preservation, ozone preservation, electrolyzed water and plasma-activated water preservation) and biological preservation (biological coating preservation, plant extracts preservation, microbial preservatives preservation and antagonistic bacteria preservation). The application of preservation technologies in mushrooms is also summarized. The shortcomings in the current quality evaluation and preservation technologies of mushrooms are put forward. The development of the quality evaluation and preservation of mushrooms is prospected in order to promote the progress and development of mushrooms industry in the future.

In order to explore the storage property of Erythropalum scandens Blume, this study compared and analyzed the changes of physiological and metabolic indexes of reducing sugar, soluble sugar, glucose, fructose, vitamin C, protein, crude fiber, water content and enzyme activity of Guichi 1 and Guichi 2 at 4 ℃. The results showed that the changes of water content of Guichi 1 and Guichi 2 were less than 3%, the content of various sugars and vitamin C showed downtrend, the change of protein content was not obvious, and the crude vitamin content showed an increasing trend during storage at 4 ℃. The main differences between the two varieties were reflected in the appearance, carbohydrates, vitamin C and various enzyme activities. At low temperature, the leaves of Guichi 2 shrank faster and faded significantly, carbohydrates and vitamin C decreased faster, and the activities of peroxidase, catalase and superoxide dismutase were lower than those of Guichi 1. Through comprehensive comparison, Guichi 1 was more resistant to storage than Guichi 2, and its nutrients, flavor, taste were also better than Guichi 2. The best shelf life of Guichi 1 was 10 days at 4 ℃ , and the best shelf life of Guichi 2 was 5 days at 4 ℃. This conclusion could provide a reference for the study of postharvest preservation of E. scandens.

Green sweat peppers are rich in nutrients and diverse in shape and color. Apart from being eaten as a vegetable, it is widely used as seasoning and side dishes. Due to respiration and infection by harmful microorganisms, postharvest green peppers are prone to water loss, wilting and even rot. Appropriate preservation technology can maximize the preservation of nutrients and extend the storage period of green peppers. This paper introduces the techniques used for postharvest preservation of green sweet peppers: physical preservation methods such as refrigeration and packaging, biological preservatives such as microbial, plant and animal extracts, and chemical preservatives such as calcium agents and 1-methylcyclopropene (1-MCP), and compares the advantages and disadvantages of these preservation techniques. It elaborates the effect of chitosan or konjac glucomannan-based composite coatings on preserving the quality of green sweet peppers. Our intention is to provide a reference and guidance for the storage and preservation of postharvest green peppers.

Inventories are ubiquitous in the business sector. Since inventory is most frequently incurring expense, stock control is critical for an organization and it must be scrimping and saving in contemplation of function the merchandising fruitfully. In this paper, an inventory model for a deteriorating item under exponential holding cost with collaborative preservation technology investment under carbon policy is considered. Also, this study is developed in a fuzzy scenario by employing triangular fuzzy numbers. Signed distance method is utilized to enhance decision making and optimization. Further the convexity of the total cost function for both the crisp and the fuzzy case is established. The objective is to determine the optimal investment in preservation technology and the optimal cycle length so as to minimize the total cost. Moreover, some managerial results are obtained by using sensitivity analysis and graphical representation is also carried out. The applications of the proposed model is used in the fields of constructing machinery or heavy duty construction equipment, specific chemicals and processed food.

This paper is attempt to develop a stochastic inventory model with quadratic price-sensitive demand. Objective function is developed by incorporating promotional efforts to boost the market demand, preservation technology to reduce the rate of deterioration, proportionate shortage time and partial backloggings. The proposed work is to generalise the stochastic demand with different probability distributions and their comparisons. The objective is to find the optimal price, optimal replenishment, and optimal preservation technology investment while optimizing the total profit per unit time. In the case of partial backlogging and lost sale, we deduced the optimal replenishment schedules for respective price and preservation technology cost. Also, we shown analytically and graphically that the total profit per unit time is a concave function with respect to per unit time, price, and preservation cost. The theoretical implications have been validated by useful results and numericals. Also, we examine the impact of various parameters for the best course of action. The conclusions drawn from the assessment might be useful for managerial purposes. [ABSTRACT FROM AUTHOR]

Food waste and loss is a current issue of global concern due to its significant effect on the country's food security. Despite the importance of food service industry on the control of food waste, yet the magnitude of waste and food loss in each stage of the value chain is not clear. This study intended to explore the extent of food loss and waste, and dominant factors for the food loss and waste along the value chain. A well-structured questionnaires and interview guide questions were used to collect primary data from customers (n = 80), and working staff at restaurants/canteen n = 20). Quantitative and qualitative methods of data analysis were employed in the analysis whereby Structural Equation Modeling technique through Confirmatory Factor Analysis was employed to establish the dominant factors for the food loss and waste at each stage in the value chain. The findings revealed that the main kinds of food loss and wastes generated at different stages includes beans, rice, vegetables, food remains e.g., ugali and left outs, meat, fish, bananas and tomato such that rice and beans losses are dominant i.e., rated at 73%. Also, more food loss and waste occur at the production stage mainly during harvesting. The main causes of food loss and waste in the value chain are mostly lack of post-harvest and food preservation technology, customers' and working staff ignorance, poor hygienic storage and preservation facilities. With this positive foundation, the study recommends future research to determine customers' perceptions and behavioral patterns regarding food loss and waste along the value chain. [ABSTRACT FROM AUTHOR]

Fresh wet noodles (FWNs) are popular among people and have attracted increasing attention because of their characteristics of freshness, chewiness, good taste, and better maintenance of noodle flavor. However, due to the high moisture content and abundance of nutrients in FWN, they are prone to spoilage, which shortens their shelf life and reduces their quality, greatly restricting their large‐scale production. Therefore, seeking effective preservation methods to prolong the shelf life is a major breakthrough for the industrialization of FWN. The present review provides a comprehensive overview of the main factors that contribute to the spoilage and degradation of FWN. These factors encompass microorganisms, moisture content, nutritional composition, enzymes, and storage temperature. Moreover, the recent developments in novel shelf‐life extension technology applied to FWN, such as chemical preservatives, natural preservatives, physical treatment technologies, and composite preservation technology, are presented and discussed. From the literature reviewed, the application of technologies, such as adding preservatives, modified atmosphere packaging, microwave, cold plasma, ozone, and other technologies, has a certain effect on improving the shelf life of FWN, but the single preservation technology still has some deficiencies. In order to further improve the preservation efficiency, using two or more preservation methods is an important direction for future research on the preservation technology of FWN. [ABSTRACT FROM AUTHOR]

In today's era of sustainable development, green inventory systems with a motto to reduce carbon emissions are crucial for economic growth and development. Green inventory systems managing deteriorating items need special attention since spoilage and deterioration result in a significant loss of items which hampers customers' satisfaction. The deteriorating items have an adverse impact on demand as the products decay continuously which also has a strong influence on the customers' purchase decision. Thus, a price-sensitive demand is a more realistic assumption. Further, the main sources of carbon emissions in operating the inventory system are based on the storage amount and the frequency of delivery. Besides, in the business world, both the supplier and the retailer accept the credit to make their business position strong, because the credit not only strengthens their business relationships but also increases the scale of their profits. In this paper, we consider a sustainable inventory model for non-instantaneous deteriorating items with price sensitive demand, time varying deterioration rate under bi-level trade credit and carbon tax policy in order to achieve sustainability goals. Besides, to reduce deterioration rate, retailers invest some cost to prevent product degradation/decay, known as preservation technology, is also inserted. In the sequel, not only the supplier would offer fixed credit period to the retailer, but retailer also adopt the trade credit policy to the customers in order to promote the market competition. The retailer can accumulate revenue and interest after the customer pays for the amount of purchasing cost to the retailer until the end of the trade credit period offered by the supplier. Firstly, a mathematical model is formulated for the given scenario so as to determine the optimal replenishment cycle time, selling price, and preservation technology investment strategies which maximize the total profit of the inventory system and some useful theoretical results have been framed to characterize the optimal solutions. An algorithm is designed to derive the optimal solutions of the model. Finally, numerical examples and managerial implications are incorporated to analyze the behavior of the proposed model. [ABSTRACT FROM AUTHOR]

Amidst the unprecedented COVID-19 pandemic, the online grocery retail industry has faced significant obstacles. To overcome these challenges and adapt to shifting customer attitudes, retailers must embrace innovative strategies. These include implementing a home delivery service with rigorous sanitization measures, leveraging social media advertising to enhance consumer awareness, and utilizing preservation technology to uphold grocery items' quality and freshness. In such a dynamic setting, it is only rational to acknowledge that the demand for products relies heavily upon the delivery firm's service performance and the awareness it generates. The present study explores these vital investments within the online grocery retail store, comparing them with models lacking such investments. By optimizing investments in preservation technology, service, and advertisement, the model seeks to maximize the retailer's overall profit. The findings unequivocally demonstrate that despite incurring additional costs, these investments wield financial dominance, boosting the total profit by an impressive 32%. The study concludes by presenting valuable insights derived from numerical and sensitivity analysis, offering invaluable guidance for the effective management of grocery items in the current post-pandemic era. [ABSTRACT FROM AUTHOR]

Deteriorating products require different handling procedures. Handling procedures includes prevention of the natural deterioration rate of the product. The production of deteriorating products requires prevention technology for those products to use for a long time. Overproduction of deteriorating types of products causes more trouble in preventing deterioration. This study uses a smart production system to control the production of deteriorating products. A controllable production rate controls the production of deteriorating products, and preservation technology reduces the deterioration rate of products. Preservation technology helps extend the life of products, but it requires a specific temperature controlled environment to work at maximum efficiency. Transportation of these products uses refrigerated transportation to maintain the quality during the transportation time. The purpose of using all these features for deteriorating products is to reduce the deterioration rate, which helps to reduce waste generation from production. Besides, imperfect products from the production system pass through a remanufacturing process to support the waste reduction process. A sustainable supply chain management model under the above-stated strategies is described here. Classical optimization is used to find the global optimum solution of the objective function. Then, the total cost of the supply chain is optimized using unique solutions of production rate, number of deliveries, delivery lot size, system reliability, and preservation investment. Global optimum solutions are established theoretically, and few propositions are developed. Some special cases, case studies, and a comparison graph are provided to validate the results. The beta distribution provides the minimum total cost of the system than uniform, gamma, triangular, and double triangular distribution. Smart production allows 72% system reliability with negligible imperfect products. Besides, the proposed policy gains 22.72% more profit than the existing literature. The model is more realistic through convex 3D graphs, sensitivity analyses, and managerial insights. [ABSTRACT FROM AUTHOR]

In the production and inventory management of perishables, environmental considerations are gaining prominence. By reducing carbon emissions from various supply chain processes, such as production, transportation, warehousing, and waste disposal of perishable items, the present study aims to minimize the overall cost to the manufacturer through an optimized investment in green technology. Additionally, cycle time and preservation technology investment are optimized to decrease deterioration and revenue loss in order to minimize cost. The originality of the present research lies in the following considerations. Due to an increase in fuel price, the transportation cost of every subsequent order will also increase, thus resulting in an increase of average delivery cost in a production cycle. We investigate the impact of changes in fuel prices on transportation costs and production inventory model policies due to the volatile nature of fuel prices. The function of transportation cost can be used to calculate transport costs in the future. The deterioration rate is a random variable with a double triangular distribution. Precisely, the demand for any product depends on the product's price; therefore, linear price-dependent demand is considered. Per unit production cost is a function of direct material cost, tooling cost, and manpower cost. Taking into account all the aforementioned parameters, this paper simultaneously optimizes green technology investment, preservation investment, and cycle time. To achieve the solution of the proposed sustainable production system, an optimization technique for the nonlinear function is employed. Finally, numerical experiments are conducted to validate the model. A special case of a numerical example demonstrates that the expected value of the total average cost is reduced by 10.723% when investments are made in both green and preservation technology, whereas investments in green technology alone result in a cost reduction of only 2.15%. Then, managerial implications and a discussion of findings are proposed after a sensitivity analysis that examines the model's response to key parameter variation. The study concludes with a discussion of the limitations of current work and possible future scopes. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Food Safety & Quality is the property of Journal of Food Safety & Quality Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Food Safety & Quality is the property of Journal of Food Safety & Quality Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Chilled meat is favored by consumers because of its good taste, high nutritional value and safety factor. However, the short shelf life restricts the further development of the cold meat industry, and the preservation of cold meat to extend its shelf life is the key core problem that needs to be solved. As a new type of preservation technology, edible coating could solve the problem of packaging and preservation of cold meat to a certain extent and extend its shelf life. This paper reviewed the principle, process and materials of edible film preservation technology, cited the progress of its application in meat preservation, analyzed the current problems, and presented the outlook on the future research content and development direction, in order to provide reference for the further development and application of this technology in cold meat.

Mitigating carbon emissions and waste, along with economic objectives, are the major concerns for businesses and industries today. Current studies have underlined the requirement to shift the company from entrepreneur to ecopreneur with three goals, i.e., social, economic, and environmental sustainability. This paper investigates an economic order quantity model for deteriorating items with partial backordering on integrating the factors that affect the environment and society. Carbon emissions linked to operational activities of inventory can be reduced with the help of investment in green technology. Deterioration is controlled here with the help of investment in preservation technology. Dumping of waste without the proper mechanism has a hazardous effect on society. So, the cost is also included in this study to adopt the appropriate means to dispose of the wastage. Here, imprecise demand with selling price and advertisement cost-dependent demand is considered. This paper provides some theoretical results related to the concavity of the objective function and solution algorithm to obtain the optimal values of decision variables. A numerical analysis is presented to validate the model. Concavity is demonstrated graphically by considering the decision variables in a pair. Results indicate that as the capital investment in preservation technology rises from 3 to 8 units, around 83% and 90% declines in deterioration rate and disposable cost are observed, respectively. Due to the investment in preservation technology, the disposable cost reduces and profit increases to a certain level. A decline of 4% in carbon footprints is observed due to enhancing the investment in green technology by 33%. In the end, sensitivity analysis has been performed and managerial insights have been provided.

Highly prized for its unique taste and appearance, pitaya is a tasty, low-calorie fruit. It has a high-water content, a high metabolism, and a high susceptibility to pathogens, resulting in an irreversible process of tissue degeneration or quality degradation and eventual loss of commercial value, leading to economic loss. High quality fruits are a key guarantee for the healthy development of economic advantages. However, the understanding of postharvest conservation technology and the regulation of maturation, and senescence of pitaya are lacking. To better understand the means of postharvest storage of pitaya, extend the shelf life of pitaya fruit and prospect the postharvest storage technology, this paper analyzes and compares the postharvest quality changes of pitaya fruit, preservation technology, and senescence regulation mechanisms. This study provides research directions for the development of postharvest storage and preservation technology.

In present world the major cause of global warming and climate change are emission of carbon and greenhouse gas. Governments and policymakers around the world want to put their best efforts to control the pollution and climate change to save our environment. To reduce greenhouse gas emissions Government and policymakers takes carbon tax policy on carbon emission. Also in real world uncertainty is a pervasive phenomenon. Humans have a significant ability to make logical decisions based on uncertain information. For this purpose, we are developing a pollution control fuzzy production inventory model with imperfect and break-ability items under preservation technology investment and carbon tax policy. In this model, the break-ability rate is dependent on inventory level as the break-ability rate of breakable items depends on the collected stress of inventory stock level. Here the unit production cost is dependent on raw material cost, wear-tear cost and development cost. Carbon emission is controlled by investing in carbon reduction technology and a fraction of product items are imperfect. In this study demand of the product depends on selling price and inventory stock level of product. Finally, this optimal control problem solved by using Pontryagin Maximum principle and the optimal results are illustrated graphically and numerically using MATLAB software. Subsequently, some sensitivity analysis is investigated as the impact of parameters on total profit. [ABSTRACT FROM AUTHOR]