newly, outsourcing has become the superior part of any company. The activities which are not economical to the business or not feasible to manufacture in-house are being outsourced to suitable suppliers. The major barrier in outsourcing is to select a suitable supplier. The selection of suppliers depends on a firm's criterion and it is almost impossible that one supplier satisfies the entire criterion that a firm concerns. The challenge is to optimize selectionprocess based on critical criteria and select the best supplierts). The supplier selection problems (SCPS) are multi-objective problems and no single methodology can be useful in solving supplier selectionproblem (SCP).In this paper the author focuses on supplier selection problem in three echelon supply chain with supplier, retailer (we name it buyer here) and customer using linearphysical programming approach.
Supply chain network design is one of the most important issues in designing supply chain due to its effect on performance and efficiency of the logistics network. Recently most of the companies take into account the reverse flows, going backward from their customer zones to their remanufacturing centers in designing their supply chain network because of customer service improvement or legislation changes for environmental protection and social requirements. This paper employs an interactive fuzzy goal programming (IFGP) method to solve the fuzzy multi-objective reverse logistics network design problem with fuzzy demand and return-product. This method attempts to minimize the total cost and total transportation time of the system simultaneously. The presented method provides the decision maker with interactive framework that facilitates the process of decision making in fuzzy environment. Moreover this framework enables the decision maker to interactively change the fuzzy data in order to reach the most satisfactory solutions.
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