Supply chain management (SCM) has recently received considerable attention in business management literature. Many companies consider a well-designed SCM and implement it to their systems to increase the performance of production systems. Supplier selection is a fundamental aspect of SCM, which heavily contributes to the overall supply chain performance. SCM is a complicated decision-making problem including both quantitative and qualitative factors. In this paper, we try to determine criteria, indicated by experts for selection of suitable suppliers. The proposed study obtains weight of each criterion by Fuzzy Linear Goal Programming (FLGP) technique. We rank the suppliers by Fuzzy Quality Function Deployment (FQFD) method. The study is executed for a PETROCHEMICAL Co. to evaluate and select the best suppliers.
This paper presents an empirical investigation for line balancing in aluminum industry. Assembly line problems (ALB) are divided into three types, single-model assembly lines to handle (easy) problems to build a product that is designed to build one kind of product, multiple and mixed model to design for different kinds of products. This paper is an effort to describe comprehensively the solution to the problem for single-model assembly lines using some practical software package named FLB. The primary objective of aluminum assembly line balancing is optimal deployment activities subject to various limitations. The preliminary results of this paper indicate that the implementation of line balancing could reduce make span, significantly.Growing Science Ltd. All rights reserved. 5
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