نوع مقاله : یادداشت فنی
نویسندگان
دانشکدهی مهندسی صنایع و مکانیک، دانشگاه آزاد اسلامی واحد قزوین
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Determining the production rate of each product in order to maximize the throughput is important for production systems. This problem is called the product mix (PM) problem. In most cases, due to insufficient production resources, companies tend to obtain some of their products from external resources. Given this, PM, with the decision to outsource production, a combined and integrated product mix-outsourcing problem (IPMO) is formed. Here, the main question is how much of each product should be produced internally and how much should be outsourced. One of the most famous methods for solving the IPMO problem is the theory of constraints (TOC). TOC offers a five step methodology for the identification of organizational constraints and their elevation. The methodology is described as follows: (1) Identify the systems constraint(s) (2) Decide how to exploit the systems constraint(s) (3) Subordinate everything else to the above decision (4) Elevate the systems constraint(s), and (5) If, in the previous steps, a constraint has been broken, go back to step1.In step1, the system bottleneck is dentified. In step 2, the scheduler decides how to use the bottleneck in order to maximize the throughput. In step 3, the bottleneck schedule (drum) is developed and, through backward and forward scheduling, other work centers are scheduled. In step 4, necessary improvements are considered in order to promote the bottleneck performance. And, finally, step 5 indicates the dynamic nature of the TOC. The product mix is determined through the first two steps of the TOC. In this study, we will introduce a simple and heuristic method based on TOC to solve IPMO problems in multi-bottleneck mode. First, it is shown, by an example, that available heuristic algorithms for solving the IPMO problem do not necessarily lead to optimum and even feasible solutions. Then, the proposed algorithm is compared with existing methods in the literature in single and multi-bottleneck modes, and it is indicated that the proposed algorithm is able to achieve appropriate solutions
کلیدواژهها [English]
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