Machine-tool selection and operation allocation in FMS: Solving a fuzzy goal-programming model using a genetic algorithm

Rai, Rahul; Kameshwaran, S; Tiwari, Manoj Kumar

doi:10.1080/00207540110081515

Cited by 65 publications

(34 citation statements)

References 40 publications

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“…Literature also reveals that validation of the a methodology can be accomplished with computationally randomly generated small set of test problems (Sujono & Lashkari, 2007;Yang & Wu, 2002;Gamila & Motavalli, 2003;Chan et al, 2004;Murat & Erol, 2012;Rahimifard & Newman, 2000;Yeong-Dae & Yano Candace, 1987;Rai et al, 2002). The results of this paper have shown that the on solving the proposed model by developed Matlab codes, yields results very close to the ideal values.…”

Section: Resultssupporting

confidence: 54%

Meta-hierarchical-heuristic-mathematical- model of loading problems in flexible manufacturing system for development of an intelligent approach

Singh¹,

Khan²

2016

10.5267/j.ijiec

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Flexible manufacturing system (FMS) promises a wide range of manufacturing benefits in terms of flexibility and productivity. These benefits are targeted by efficient production planning. Part type selection, machine grouping, deciding production ratio, resource allocation and machine loading are five identified production planning problems. Machine loading is the most identified complex problem solved with aid of computers. System up gradation and newer technology adoption are the primary needs of efficient FMS generating new scopes of research in the field. The literature review is carried and the critical analysis is being executed in the present work. This paper presents the outcomes of the mathematical modelling techniques for loading of machines in FMS's. It was also analysed that the mathematical modelling is necessary for accurate and reliable analysis for practical applications. However, excessive computations need to be avoided and heuristics have to be used for real-world problems. This paper presents the heuristics-mathematical modelling of loading problem with machine processing time as primary input. The aim of the present work is to solve a real-world machine loading problem with an objective of balancing the workload of the FMS with decreased computational time. A Matlab code is developed for the solution and the results are found most accurate and reliable as presented in the paper.

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Section: Resultssupporting

confidence: 54%

Meta-hierarchical-heuristic-mathematical- model of loading problems in flexible manufacturing system for development of an intelligent approach

Singh¹,

Khan²

2016

10.5267/j.ijiec

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show abstract

“…The process of transforming attributes value into a range of [0,1] is called normalization and it is required in MADM methods to transform performance rating with different data measurement unit in a decision matrix into a compatible unit [19][20][21]. The normalization method adopted from the paper [22], and the formulas are given as follows: Step 5.…”

Section: Group Eigenvalue Methodsmentioning

confidence: 99%

A Novel Machine Selection Method Combining Group Eigenvalue Method with TOPSIS Method

Yang¹,

Xiong³

2016

IJFGCN

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“…Hybrid approaches combining evolutionary computation with other tools have also gained increasing attention. Rai et al (2002) solved a machine-tool selection and operation allocation problem in FMS based on a fuzzy goal programming model using a GA-based approach. Chiu and Lin (2004) introduced an approach based on Artificial Neural Networks (ANN) to achieve complete order fulfillment and increased resource utilization in a collaborative supply chain planning problem.…”

Section: Literature Reviewmentioning

confidence: 99%

A CMPSO Algorithm Based Approach to Solve the Multi-plant Supply Chain Problem

Chan¹,

Kumar²

2007

Swarm Intelligence, Focus on Ant and Particle Swarm Optimization

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Machine-tool selection and operation allocation in FMS: Solving a fuzzy goal-programming model using a genetic algorithm

Cited by 65 publications

References 40 publications

Meta-hierarchical-heuristic-mathematical- model of loading problems in flexible manufacturing system for development of an intelligent approach

Meta-hierarchical-heuristic-mathematical- model of loading problems in flexible manufacturing system for development of an intelligent approach

A Novel Machine Selection Method Combining Group Eigenvalue Method with TOPSIS Method

A CMPSO Algorithm Based Approach to Solve the Multi-plant Supply Chain Problem

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