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Review of evolution of cellular manufacturing system’s approaches: Material transferring models

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Abstract

This paper presents a review of material transferring methods, related techniques, and their effects on cellular manufacturing systems (CMS). In-depth analysis has been conducted through a review of 95 dominant research papers available in the literature. The advantages, limitations, and drawbacks of material transferring methods have been discussed as well. The domains of the examined studies include some of the important problems in material transferring, such as exceptional elements, number of voids, machine distances, bottleneck machines and parts, machine location and relocation, part routing, cell load variation, inter and intracellular material transferring, cell reconfiguring, dynamic part demands, and operation and completion times. The results of this study can fill research gaps and clarify many related questions in CMS problems.

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Abbreviations

ACO:

Ant colony Optimization

ART:

Adaptive Resonance Theory

ANN:

Artificial Neural Network

BFA:

Bacteria Forging Algorithm

CFP:

Cell Forming Problem

CMS:

Cellular Manufacturing System

DPA:

Dynamic Part Assignment

EE:

Exceptional Elements

GA:

Genetic Algorithm

GP:

Goal Programing

GT:

Group Technology

MCDM:

Multi Criteria Decision Making Model

MCIM:

Machine Component Incidence Matrix

PSO:

Particle Swarm Optimization

QAP:

Quadratic Assignment Problem

QTP:

Quadratic Transportation Problem

ROC:

Ranked Order Clustering

SA:

Simulated Annealing

SOM:

Self Organized Map

TSP:

Travelling Salesman Problem

WIP:

Work-in-process

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Delgoshaei, A., Ariffin, M.K.A.M., Leman, Z. et al. Review of evolution of cellular manufacturing system’s approaches: Material transferring models. Int. J. Precis. Eng. Manuf. 17, 131–149 (2016). https://doi.org/10.1007/s12541-016-0017-9

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  • DOI: https://doi.org/10.1007/s12541-016-0017-9

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