Abstract

A comprehensive quadratic assignment problem for an integrated layout design of final assembly line and manufacturing feeder cells

Highlights

  • Product variety is a challenging issue in today’s market

  • T S pr Results of the test problems for genetic algorithm (GA) procedure is achieved as mentioned in Section 4.1 and Taguchi designs of GA parameters for small, medium and large-sized problems are implemented in Minitab14

  • In this paper a comprehensive quadratic assignment problem is presented for the arrangement of facilities including machines, sub-assembly and final assembly tasks, part manufacturing and subassembly cells within the shop floor

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Summary

Introduction

Growing trend in customer’s demand change and competitive market requirements have led manufacturers to substitute high-mix/low-volume manufacturing strategies for low-mix/high-volume manufacturing strategies to remain flexible and capture their market share. To deal with such conditions, lots of manufacturing systems have been developed in the literature among which CMS is one of manufacturing systems taking the advantage of job shop’s flexibility and the flow shop’s efficiency by reducing lead time, setup time, work-inprocess (WIP) inventories and material handling costs. Sub-assembly products are produced in separate U-line assembly cells and served as feeding final mixed model assembly U-line to produce product mixes.

Literature review
Problem formulation
F D omf nf o B int ra omf nf e
Genetic algorithm approach
Memetic algorithm approach
TS-based local search approach
29: BC TSsol
Parameters setting
Taguchi method
GA parameters setting
MA parameters setting
Computational results
Sensitivity Analysis
Conclusions
Full Text
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