Proposed A Novel Hybrid Meta-Heuristic Algorithm Based on GA, KA and RDA for Solving Integrated Mathematical Model of Cell Formation with Machine Layout and CellLayout in a Dynamic Environment

سال انتشار: 1399
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 490

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ICIORS13_209

تاریخ نمایه سازی: 6 آذر 1399

چکیده مقاله:

Cell Formation (CF) and facility layout design are the two fundamental steps in implementation of the CMS. These decisions are interrelated, therefore addressing them simultaneously is important for a successful design of CMS. In this article, a new non-linear mixed integer programming model is presented which comprehensively considers solving the integrated dynamic cell formation and inter/intra cell layouts in continuous space. In the proposed model, cells are configured in flexible shapes during planning horizon considering cell capacity in each period. This study considers the exact information about facility layout design and material handling cost. To solve the proposed problem as a mixed-integer non-linear programming model is clearly NP-hard, four meta-heuristic algorithms based on an optimization structure are tackled to address the problem. In this regard, not only Genetic Algorithm (GA), Keshtel Algorithm (KA) and Red Deer Algorithm (RDA) are employed to solve the problem, but also a novel hybrid meta-heuristic algorithm based on the benefits of aforementioned algorithms is developed.

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نویسندگان

Amir-Mohammad Golmohammadi

Young Researchers and Elite Club, Yadegare-e-Imam Khomeini (RAH) Shahr-e-Ray Branch, Islamic Azad University, Tehran, Iran;

Reza Tavakkoli-Moghaddam

Department of Industrial Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran;

Negar Balajeh

MSc of Industrial Engineering, Islamic Azad University, Saveh Branch, Iran;

Soha Meraji

MSc Student of Industrial Engineering, University of Science and Culture, Tehran, Iran;