TY - JOUR ID - 51960 TI - Solving product mix problem in multiple constraints environment using goal programming JO - Journal of Industrial Engineering and Management Studies JA - JIEMS LA - en SN - 2476-308X AU - Tanhaie, Fahimeh AU - Nahavandi, Nasim AD - Tarbiat Modares University, Tehran, Iran. Y1 - 2017 PY - 2017 VL - 4 IS - 1 SP - 1 EP - 12 KW - theory of constraints KW - Product mix KW - multiple constraints KW - bottleneck KW - Goal Programming DO - 10.22116/jiems.2017.51960 N2 - The theory of constraints is an approach to production planning and control that emphasizes on the constraints to increase throughput by effectively managing constraint resources. One application in theory of constraints is product mix decision. Product mix influences the performance measures in multi-product manufacturing system. This paper presents an alternative approach by using of goal programming to determine the product mix of the manufacturing system. The objective of paper is to provide a methodology in order to make product mix decision. Key point of the proposed methodology is considering decision maker idea to determine the weights of objective functions that are throughput and bottleneck exploitation. Therefore the weights of the objective functions are determined by the information get from decision maker. Through an example, inefficiency of theory of constraints in multiple bottleneck problems has been showed. Comparison of theory of constraints, linear programming and other methods to product mix problem has also discussed to show the advantages of the proposed method. UR - https://jiems.icms.ac.ir/article_51960.html L1 - https://jiems.icms.ac.ir/article_51960_559d92f0de5d3f802b189c77b83af9ca.pdf ER -