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Stochastic Programming Models for Dynamic Facility Layout Problem in Flexible Manufacturing Systems | ||
Advances in Industrial Engineering | ||
دوره 54، شماره 3، مهر 2020، صفحه 267-291 اصل مقاله (921.79 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/jieng.2021.324897.1768 | ||
نویسندگان | ||
Seyed Mohammad Ghadirpour1؛ Seyed Kamal Chaharsooghi* 1؛ Seyed Mohammad Javad Mirzapour Al-e-hashem2؛ Ghorbanali Moslemipour3 | ||
1Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran. | ||
2Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran. | ||
3Department of Industrial Engineering, Payame Noor University, Iran. | ||
چکیده | ||
An appropriate facility layout is required to reduce total manufacturing cost, especially in uncertain environments. The design of a desirable facility layout is essential when the rearrangement of the facilities is expensive. Using Routing Flexibility (RF) as a principle of the Flexible Manufacturing System (FMS) can lead to the fulfillment of this need. This paper propounds two new mathematical models for the Dynamic Facility Layout Problem (DFLP) with stochastic approaches. The RF is considered when the independent parts demands follow Exponential and Normal distributions in which their parameters randomly alter from period to period. The primary nonlinear models are first linearized by the proposed innovative technique. Then, the performance of the proposed models and the linearization technique is assessed by solving two test problems. Next, the RF effect on the manufacturing system is analyzed. The obtained results verify the validity and applicability of the proposed models. It is also shown that the suggested linearization technique is an efficient technique with 99% accuracy, even if convexity conditions are not met. | ||
کلیدواژهها | ||
Facility Layout؛ Flexible Manufacturing System؛ Linearization Technique؛ Stochastic Approaches؛ Uncertain Environments | ||
مراجع | ||
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