Abstract
Optimizing the perishable food, supply chain, taking into account all aspects, such as location, time, inventory control and routing, has become one of the top research priorities in today's competitive market. The primary objective is to reduce the overallcost, and the second one is to diminish the probability of warehouses failing to maintain the product (storage waste), which in turn, maximizes product quality.In this research, the issue of integrated supply chainplanning has been investigated in which it is assumed that there is a central warehouse for food distribution. The model developed in the present study considers two contradictory objectives for supply chainoptimization.In this research, foods are classified into three categories with the rate of deterioration common, high and very high. The concept of Pareto boundary and a set of optimal responses have been used. Demand is defined as uncertain and dependent on two factors, the demand for the prior period and the remaining time until the expiration of the products. The research problem is solved with both NSGA-II and NRGA algorithms whose parameters of these two algorithms are optimized by the Taguchi method. The two efficient boundaries are created by the four criteria MID, DM, SM and NOS. Finally, concluded that the efficiency of the NSGA-II method in solving the research problem and forming an effective boundary is higher than the NRGA method.
Highlights
It can be said that solving supply chain (SC) problems individually leads to suboptimal answers, which is not necessarily the best answer for optimizing the entire SC. if the strategic, tactical, and operational decisions are modeled and taken separately; the optimal responses provided will not be the optimum response
The planning and optimization of the SC of perishable food, have been morecomplex.The first reason is that the demand for these products is completely dependent on the quality, and the quality is relying on the expiration date of the products.it is important to develop suitable models for optimizing location, inventory control and routing in these chains [6].On the other hand, in the perishable food SC, there are usually thousands of miles from farm to end consumer
Foods are classified into three categories with the rate of deterioration common, high and very high.Products with the common rate of deteriorationare kept in a normal warehouse
Summary
It can be said that solving SC problems individually leads to suboptimal answers, which is not necessarily the best answer for optimizing the entire SC. if the strategic, tactical, and operational decisions are modeled and taken separately; the optimal responses provided will not be the optimum response. The planning and optimization of the SC of perishable food, have been morecomplex.The first reason is that the demand for these products is completely dependent on the quality, and the quality is relying on the expiration date of the products.it is important to develop suitable models for optimizing location, inventory control and routing in these chains [6].On the other hand, in the perishable food SC, there are usually thousands of miles from farm to end consumer. These chains must be managed so that the best quality products reach their destination, given the time constraints and real-world uncertainties. The research literature will be reviewed. a proposed model for this problem and its solution methodology is presented.the results are discussed and analyzed
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