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Graphical abstract Highlights • Supply-chain management is influenced by market demand and perishability of foods. • Monitoring technologies can reduce food loss in warehouse management. • The approach is based on a shelf life model and on the Monte Carlo simulation. • Economic Traceability Lot is determined through an economic feasibility analysis. • Shelf life based policies of perishable foods allow for the reduction of ecological impacts. Abstract In today's competitive global market it is mandatory to improve warehousing operations integrating economic, environmental and social aspects. The recent advancement in monitoring technologies can greatly improve the performance of the food supply chain reducing product loss. In particular, in the perishable food supply chain, initially inventory operations are critical because they manage the material flows in very variable conditions. The deterioration level of the products as well as the market demand are the main factors that can influence warehouse strategy. This research aims to consider the application of sustainability principles in the context of warehouse storage, evaluating the combined decision of implementing shelf life based picking policy and pricing strategy. In particular, the proposed approach is based on a referenced shelf life model and on the Monte Carlo simulation. Three different pricing scenarios in a case study for the management of the warehouse were defined and their Economic Traceability Lot was determined on the basis of an economic feasibility analysis. Finally, the carbon footprint for each scenario was determined in terms of emissions produced by temperature-controlled transportations and for the landfilling of product wasted. [ABSTRACT FROM AUTHOR]

The reduction of environmental impact and the achievement of economic advantages based on by-product recovery is the aim of applying methodologies for phenolic compounds extraction from Olive Oil Mill Wastewater. Volume reduction of Olive Oil Mill Wastewater could generate important advantages in terms of waste disposal cost abatement and, in addition, reuse in the production of foods with health properties could lead to economic benefits. Despite the fact that literature shows that several techniques have been developed, few economic approaches have been presented. This paper assesses the economic feasibility of a system based on membrane filtration and reverse osmosis processes for phenolic compound extraction, considering their subsequent reuse to enrich Extra Virgin Olive Oil during the malaxation phase. In particular, an analysis of investment profitability was presented to establish the break-even point in terms of the incremental cost of olive oil enriched in polyphenols. Results confirm the sustainability of the process, showing a reduction of the waste product greater than 90%, and feasible solutions for the incremental cost of enriched Extra Virgin Olive Oil, considering a positive Net Present Value and a Payback Time not greater than four years. [ABSTRACT FROM AUTHOR]

Shelf-life (SL) prediction and Least Shelf-life First Out (LSFO) stock strategy are important factors in perishable food supply chain in order to reduce quality and economic losses. In particular, distribution represents one of the main critical phases in logistic chain management and only the introduction of monitoring procedure can allow a reduction in food losses. Literature shows several mathematical models for analysing the changes in food quality using environmental/product parameters. However, these models can be very useful decision support tools only if the abovementioned parameters can be processed in real time. This paper focuses on technologies and applications to acquire and monitor changes in product shelf life using different SL predictive models. The paper includes a case study on a simulated transportation of strawberries, using a prototype of Smart Logistic Unit equipped with a GPS module for real time positioning of the truck, a 3G connection as communication system for remote quality supervision, and a shelf life prediction algorithm based on four different models and implemented on a webGIS platform. [ABSTRACT FROM AUTHOR]

The globalization of the olive oil market has caused greater competitiveness in terms of olive oil quality and production costs and the main countries interested in olive growing, have introduced efficient planting design and horticultural techniques in order to meet these requirements. In this paper the sustainability of olive orchard planting management for different olive fruit-harvesting methods has been assessed on the basis of the data gathered by the Geographic Information System and processed using a Multi-Criteria Decision Making Analysis. In particular, three different agronomic scenarios have been analyzed and a specific cultivar has been considered in order to ensure the comparability of the results obtained. Moreover, a sensitivity analysis to assess the optimal harvesting methods for different agronomic scenarios by varying the olive grove dimension has been conducted. The final aim of this paper is to propose a new approach to discover the best harvesting technique on the basis of the type and the dimension of the olive grove. • Olive-harvesting methods were assessed to identify the more sustainable solutions. • GIS data were processed using a Multi Criteria Decision Making Analysis. • Three agronomic scenarios for a specific cultivar ensure the comparison of the results. • The proposed system was validated by means of a case study. • Sustainability of the olive sector can be achieved while also recovering marginal olive groves. [ABSTRACT FROM AUTHOR]

• Designing and implementing safe and ergonomic solutions. • Current trends of HRC-related articles by topics and application areas. • Overview on Occupational Health and Safety (OHS) concerns in collaborative environments. • Future lines of research to transfer collaborative robotics from the lab scale to the shop floor. Human-Robot Collaboration (HRC) refers to the interaction of workers and robots in a shared workspace. Owing to the integration of the industrial automation strengths with the inimitable cognitive capabilities of humans, HRC is paramount to move towards advanced and sustainable production systems. Although the overall safety of collaborative robotics has increased over time, further research efforts are needed to allow humans to operate alongside robots, with awareness and trust. Numerous safety concerns are open, and either new or enhanced technical, procedural and organizational measures have to be investigated to design and implement inherently safe and ergonomic automation solutions, aligning the systems performance and the human safety. Therefore, a bibliometric analysis and a literature review are carried out in the present paper to provide a comprehensive overview of Occupational Health and Safety (OHS) issues in HRC. As a result, the most researched topics and application areas, and the possible future lines of research are identified. Reviewed articles stress the central role played by humans during collaboration, underlining the need to integrate the human factor in the hazard analysis and risk assessment. Human-centered design and cognitive engineering principles also require further investigations to increase the worker acceptance and trust during collaboration. Deepened studies are compulsory in the healthcare sector, to investigate the social and ethical implications of HRC. Whatever the application context is, the implementation of more and more advanced technologies is fundamental to overcome the current HRC safety concerns, designing low-risk HRC systems while ensuring the system productivity. [ABSTRACT FROM AUTHOR]

Abstract: Pancreatic islet transplantation consists of replacing insulin-producing cells to restore normal glycemia in diabetic patients. This is a minimal invasive procedure that has been proved successful. Unfortunately unpredictability of islet transplant outcome remains a frustrating and costly issue limiting the clinical implementation of this procedure. Multiple variables are involved in the procedure and assessment is subjective to individual operators. The aim of this study was to generate a system expressing the probability of transplant success in relation to four classes of identified variables (donor, organ, isolation and recipient). We have proposed the utilization of Multi-Criteria Decision Making methods (MCDM) as a powerful tool for evaluating pancreatic islet transplant-related information with the goal to achieve optimal decision. Technique Ordered Preference by Similarity to the Ideal Solution (TOPSIS), one of the most widely used MCDM methods in decision support systems, was here utilized with modification to fit better in a medical system. In our modified method, we have utilized fuzzy logic in order to consider uncertain and vague data. [ABSTRACT FROM AUTHOR]

Construction is nowadays considered an extremely energy intensive industry and one of the main sources of environmental pollution in the world. Therefore, the research and the development of novel energy-saving manufacturing processes and sustainable construction materials is more than ever urgent and challenging. This paper aims at identifying the industrial process for the production of novel geopolymers to be used as a greener substitute for cement, especially the Portland one, widely used for structural applications to significantly reduce the environmental impact of the construction industry. Here, the materials sustainability and the manufacturing process are improved by valorising and reusing wastes, deriving from the pulp-paper industry, as raw materials. This industry generates a great quantity of wastes that represent a real concern both for their environmental impact and cost of disposal. The new industrial process was evaluated after scaling up the laboratory procedure to an industrial dimension. Consequently, each small-scale process was deeply analysed (raw materials involved and processes) and transposed into a massive-production. The most relevant processes that show an elevated environmental impact were identified and the energy consumption of the whole process has been assessed resulting, for the analysed geopolymeric product, an embodied energy of 645 MJ/ton, being about one sixth of the OPC. Moreover, a preliminary economic analysis has been conducted in terms of raw materials involved in the proposed industrial process revealing a decreasing cost per ton increasing the waste recycling. All considered, the main conclusions are that the industrial scale up of the proposed geopolymeric product, assessed for the first time in literature along with the related proposed considerations, could be highly competitive to the Portland production involving greener processes with a much lower energy consumption and a greater financial saving by improving the wastes quantity. [ABSTRACT FROM AUTHOR]