Abstract
The value of superior supply network design is becoming increasingly important, especially in the perishable supply chain. Due to the recent developments in perishable products, perishable product supply chain (PPSC) management has attracted many researchers. The purpose of this study was to present a multi-period and multi-echelon perishable supply chain with regards to procurement time, cycle cost, and customer satisfaction. This study presented a new form of location-routing in a supply chain network for perishable products, accounting for environmental considerations, cost, procurement time, and customer satisfaction, such that the total costs, delivery time, and the emission of pollutants in the network were minimized while customer satisfaction was maximized. We formulated the problem as a multi-objective, nonlinear, mixed-integer program and the hybrid approach was proposed to solve the model. The mean error of the proposed algorithm for the objective function compared to the exact method in solving the sample problems was less than 3.4%. The computational results revealed the efficiency of the proposed algorithm for a wide range of issues of various sizes.
Highlights
Manufacturers, suppliers, distributors, warehouses, retailers, and customers have expanded into global markets by establishing a network of organizations and operating a supply chain [1]
This study aims to design a mathematical programming model that identifies the best facility locations by considering procurement time, cost optimization, and customer satisfaction
With the implementation of the decisions in the first step, a decision is made about the value and manner of inventory maintenance, the weight and method of the distribution of goods to customers, and logistics planning
Summary
Manufacturers, suppliers, distributors, warehouses, retailers, and customers have expanded into global markets by establishing a network of organizations and operating a supply chain [1]. This study aims to design a mathematical programming model that identifies the best facility locations by considering procurement time, cost optimization, and customer satisfaction. In this supply chain, the manufacturer creates new goods and sends them to a consumer, and the retailers. Considering the significance and role of location and routing problems in the multiechelon supply chain, this research attempts to design an optimal network that considers various objective functions in the perishable product supply chain (PPSC). (1) Presenting multiple objective programming models for the four-echelon multi-product perishable supply chain network design problem.
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