Strategies to Minimize Perishable Food Loss in the Retail Grocery Business

Supply chain managers in the retail grocery industry face significant challenges in reducing the wastage of perishable food. Perishable food spoilage and deterioration in the retail grocery industry result in a significant loss of profitability and consumer satisfaction. The purpose of this multiple case study was to explore the strategies that supply chain managers in the retail grocery business used to minimize perishable food loss. The perishable inventory theory was used as the conceptual framework. Data were collected from semistructured interviews with 6 Pennsylvania retail grocery supply chain managers who implemented strategies to minimize perishable food loss and from organizational documents. Data analysis was carried out using Yin\u27s 5-step process of compiling, disassembling, reassembling, interpreting, and concluding data. The 3 emergent themes resulting from data analysis were inventory strategy, logistics and deliveries strategy, and information technology strategy. Member checking occurred after transcription and summarization of the interview data. The findings indicated that supply chain managers use first-in-first-out approaches to inventory management, rotation, replenishment, information sharing, and on-time purchasing to minimize perishable food loss. The findings and recommendations of this study might be valuable to supply chain management and retail grocery leaders to create strategic solutions to mitigate the loss of perishable food. The findings of this study might contribute to positive social change through the reduction of perishable food loss, an increased supply of food, lower retail prices to the consumer, and improved customer satisfaction

Sviluppo di modelli decisionali per la supply chain di prodotti deperibili mediante l’applicazione di tecnologie innovative

The supply chain of perishable products, as fruits and vegetables is affected by environmental abuses from harvest to the final destination which are responsible the uncontrolled deterioration of food. In order to reduce such phenomena the supply chain members should control and monitor the conditions of goods in order to ensure their quality for consumers and to comply with all legal requirements (Garcia Ruiz, 2008). The most important factor influencing the food quality is the temperature able to prolonging the shelf life of the products. Since the temperature can inhibit or promote the maturation and deterioration process, this parameter is involved both in the growing process of fruits and vegetables and in the transport and storage stages. Given this the aim of the present thesis is to show that the monitoring of such parameter during the pre and post harvest stages allows to improve the decision making process. In the context of temperature monitoring the introduction of emerging information technologies such as the Wireless Sensors Networks and the Radio Frequency Identification can now provide real-time status knowing of product managed. The real time monitoring can be of great help in the definition of the actual maturation level of products both in the field and during the cold chain. The suitability of such an approach is evaluated by means of case studies. The first case study concerns the monitoring of grapes growth directly in the vineyard. The suitability of Wireless Sensors Networks in the monitoring of the grapes growth process is evaluated in terms of the possibility to determine the date of starting or ending of phenological phases. This information allows to make faster decisions about the vineyard operations which must be performed during the grape growth and finally allows to predict the maturation date in order to optimize the harvest operations. In the next case study the possibility to apply the Radio Frequency Identification technology to the monitoring of the fresh fruits along the cold chain has been faced and the quality of the products at any stage of the supply chain has been determined through a mathematical model. The knowing of the current quality level allows to make decisions about the destination of products. In this case those products having a shorter shelf life can be distributed to a local market while those with longer shelf life can be distributed to more distant location. In the next case study the information about the current deterioration state of perishable products has been translated into a warehouse management system in order to determine the operational parameters able to optimize the quality of products stored. Even in this case the goal of the study was to provide a decision making tool for the proper management of the perishable products stored. However besides the advantages achievable by the real time evaluation of environmental conditions the costs involved with the implementation of innovative technologies must be determined in order to establish the suitability of the investment in such innovative technologies. The present thesis also faces this question by determining the optimal number of devices to apply to the stock keeping unit in order to minimize the total cost associated to the transferring batch from the producer to the distributor. In this case the methodology employed is that of a mathematical model including all costs associated to the product management. Finally the study conducted through the present thesis shows that in all of the cases treated the use of the innovative technologies allows to support the decision making process in the pre and post harvest phases thus improving the perishables management

Warehouse management model using FEFO, 5s, and chaotic storage to improve product loading times in small- and medium-sized non-metallic mining companies

This article addresses one of the main problems faced by small- and medium-sized business in the non-metallic mining sector in Peru. These companies own warehouses and face the major problem of failing to deliver orders correctly and in a timely manner. This problem usually occurs when the business grows from a small- to medium-sized company in a short span of time; this situation leads to new processes within warehouses that are mostly not standardized. Besides, facilities are no longer optimal in space and the workers are not properly trained. The case study shows that the orders were not delivered on time due to factors such as lack of product identification, although the products have an expiration date and a warehouse without signaling and surrounded by traffic. To tackle this situation, a labeling process has been designed for the products, an adequate distribution technique is used in the warehouse through a newly designed warehouse layout, and a First Expired, First Out system has been implemented. Similarly, the design is accompanied by the 5s tool to provide a basis for order and continuous improvement. The results show that deliveries with delays were reduced from 38% to 10%. These results show that companies can grow rapidly and maintain quality of service through orderly management

Postharvest losses of fruit and vegetables during retail and in consumers’ homes: Quantifications, causes, and means of prevention

The issue of food loss and waste (FLW) reduction has recently achieved much public attention as part of worldwide efforts to combat global hunger and improve food security. Studies conducted by various international and national organizations led by the FAO indicated that about one third of all food produced on the planet and about a half of all fruit and vegetables (F&V) are lost and not consumed. FLW occurs during five key stages of the food supply chain: agricultural production, postharvest handling and storage, processing, distribution, and consumption. Large portions of FLW in developed countries occur during retail and consumption, and are largely related to logistic management operations and consumer behaviors. In light of the great importance of FLW reduction, the United Nations set up in September 2015 an ambitious goal to halve per capita global food waste by 2030, and this decision was adapted by the US Federal Government, the EU Parliament, and many other countries. This first Adel Kader review article is dedicated to the subject of F&V losses during retail and consumption, and contains the following chapters: 1) Introduction of the problem of global food losses; 2) Quantifications of F&V losses during retail and consumption in the UK, US and other countries; 3) Causes and consumer decisions related to F&V wastage; 4) Emerging new technologies for prevention of F&V losses, including advances in logistics and cold chain management, retail packaging and technological innovations; 5) Other means to reduce F&V losses, including consumer awareness campaigns, advertisement of home storage instructions and policy and legislative measures. Due to the great importance of reducing F&V losses, we encourage postharvest researchers to become more engaged with logistics and food supply-chain operations, and to conduct multidisciplinary research incorporating consumer behavior studies into postharvest research

A hybrid traceability technology selection approach for sustainable food supply chains

Traceability technologies have great potential to improve sustainable performance in cold food supply chains by reducing food loss. In existing approaches, traceability technologies are selected either intuitively or through a random approach, that neither considers the trade-off between multiple cost–benefit technology criteria nor systematically translates user requirements for traceability systems into the selection process. This paper presents a hybrid approach combining the fuzzy Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) with integer linear programming to select the optimum traceability technologies for improving sustainable performance in cold food supply chains. The proposed methodology is applied in four case studies utilising data collected from literature and expert interviews. The proposed approach can assist decision-makers, e.g., food business operators and technology companies, to identify what combination of technologies best suits a given food supply chain scenario and reduces food loss at minimum cost.Cambridge Trust and Commonwealth Scholarship Commission

Modelling and Determining Inventory Decisions for Improved Sustainability in Perishable Food Supply Chains

Since the introduction of sustainable development, industries have witnessed significant sustainability challenges. Literature shows that the food industry is concerned about its need for efficient and effective management practices in dealing with perishability and the requirements for conditioned storage and transport of food products that effect the environment. Hence, the environmental part of sustainability demonstrates its significance in this industrial sector. Despite this, there has been little research into environmentally sustainable inventory management of deteriorating items. This thesis presents mathematical modelling based research for production inventory systems in perishable food supply chains. In this study, multi-objective mixed-integer linear programming models are developed to determine economically and environmentally optimal production and inventory decisions for a two-echelon supply chain. The supply chain consists of single sourcing suppliers for raw materials and a producer who operates under a make-to-stock or make-to-order strategy. The demand facing the producer is non-stationary stochastic in nature and has requirements in terms of service level and the remaining shelf life of the marketed products. Using data from the literature, numerical examples are given in order to test and analyse these models. The computational experiments show that operational adjustments in cases where emission and cost parameters were not strongly correlated with supply chain collaboration (where suppliers and a producer operate under centralised control), emissions are effectively reduced without a significant increase in cost. The findings show that assigning a high disposal cost, limit or high weight of importance to perished goods leads to appropriate reduction of expected waste in the supply chain with no major cost increase. The research has made contributions to the literature on sustainable production and inventory management; providing formal models that can be used as an aid to understanding and as a tool for planning and improving sustainable production and inventory control in supply chains involving deteriorating items, in particular with perishable food supply chains.the Ministry of Science and Technology, the Royal Thai Government

A fog computing framework for scalable RFID systems in global supply chain management

With the rapid proliferation of RFID systems in global supply chain management, tracking every object at the individual item level has led to the generation of enormous amount of data that will have to be stored and accessed quickly to make real time decisions. This is especially critical for perishable goods supply chain such as fruits and pharmaceuticals which have enormous value tied up in assets and may become worthless if they are not kept in precisely controlled and cool environments. While Cloud-based RFID solutions are deployed to monitor and track the products from manufacturer to retailer, we argue that Fog Computing is needed to bring efficiency and reduce the wastage experienced in the perishable produce supply chain. This paper investigates in-depth: (i) the application of Fog Computing in perishable produce supply chain management using blackberry fruit as a case study; (ii) the data, computations and storage requirements for the fog nodes at each stage of the supply chain; (iii) the adaptation of the architecture to the general perishable goods supply chain; and (iv) the benefits of the proposed fog nodes with respect to monitoring and actuation in the blackberry supply chain

Shaping the future of cold chain 4.0 through the lenses of digital transition and sustainability

The digitisation of supply chain management lies at the crux of modern industry and similar trends are noticeable in the cold chain (CC) under the cold chain 4.0 (CC 4.0) concept. However, the extant research lacks a systematic summary of existing findings on CC 4.0. Therefore, this study provides a bibliometric and network analysis of 618 high-quality CC 4.0 publications extracted from the Web of Science (WoS). The study uses performance assessment and science mapping to investigate the impact of digital and sustainable technologies in the CC domain. Four main research streams and 19 research propositions are identified to provide an informative overview of the most recent developments in the emerging and growing domain of CC 4.0 and the interface between information systems and operations management. The study further identifies the critical role and impacts of digital-sustainable transformation and presents an agenda for future research focusing on critical theoretical and managerial areas that remain understudied

A new Bi– level production-routing-inventory model for a medicine supply chain under uncertainty

This research presents a new bi-level bi-objective production-routing-inventory model for a medi-cine supply chain. In this case, the production is executed by multi-separated producers in a multi-production line for different kinds of medicines which will be saved in stores for delivering to cus-tomers. The capacitated vehicle routing problem is considered in designing a distribution system from stores to customers. The goal of this model is to make a suitable trade-off between the customer satisfaction and the budget cost. This problem has been formulated in a bi-level form where the first objective function is the minimization of the budget during the scheduled time and the second one is the minimization of the shortage amount associated with the lost sale of medicine demands delivering to drug stores. Uncertainty is considered as a nature of the main parameters of the problem. Then the robust approach was used to handle the associated uncertainty of related parameters and the resulted problem is solved by Benders decomposition algorithm. The results indi-cate that the model make an improvement in medicine supply chain