An integrated approach to the part selection and machine loading problem in a class of flexible manufacturing systems

Liang, Ming; Dutta, S. P.

doi:10.1016/0377-2217(93)90293-v

Cited by 46 publications

(14 citation statements)

References 15 publications

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“…Other approaches [17,[23][24][25], though considering many types of flexibility, simplify the problem by limiting the number of cases that flexibility can produce. For example, although a plurality of machines (tools) is allowed to machine a part, it is assumed that only one or two tools (machines) are used.…”

Section: Related Literaturementioning

confidence: 98%

“…The existing approaches to the problem can be classified into mathematical programming models [17,19,21], heuristic models to find near optimal solutions within a reasonable amount of time [22][23][24], and methods of integrating other production planning problems with the loading problem [25,26]. In this section an overview is provided for existing research that deals with the flexibility issues in the FMS loading problem.…”

Section: Related Literaturementioning

confidence: 99%

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Multileveled Symbiotic Evolutionary Algorithm: Application to FMS Loading Problems

Kim

2005

Appl Intell

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Recently, there has been an increasing effort to address integrated problems that are composed of multiple interrelated sub-problems. Many integrated problems in the real world have a multileveled structure. This paper proposes a new method of solving integrated and multileveled problems. The proposed method is named Multileveled Symbiotic Evolutionary Algorithm (MSEA). MSEA is an evolutionary algorithm that imitates the process of symbiotic evolution, including endosymbiotic evolution. It is designed to promote the balance of population diversity and population convergence. To verify its applicability, MSEA is applied to loading problems of flexible manufacturing systems with various flexibilities. Through computer experiments, the features of MSEA are shown and their effects on search capability are discussed. The proposed algorithm is also compared with existing ones in terms of solution quality. The experimental results confirm the effectiveness of our approach.

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Section: Related Literaturementioning

confidence: 98%

Section: Related Literaturementioning

confidence: 99%

Multileveled Symbiotic Evolutionary Algorithm: Application to FMS Loading Problems

Kim

2005

Appl Intell

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“…Liang and Dutta [15,16,35] suggested an integrated method for part selection and machine loading problems. Berrada and Stecke [36] proposed a branch and bound algorithm for balancing the workload on machines.…”

Section: The Machine Loading Problem Of a Fmsmentioning

confidence: 99%

A fuzzy based algorithm to solve the machine-loading problems of a FMS and its neuro fuzzy petri net model

Kumar¹,

Singh²,

Tiwari³

2004

The International Journal of Advanced Manufacturing Technology

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This paper aims to develop a fuzzy-based solution approach to address a machine-loading problem of a flexible manufacturing system (FMS). The proposed solution methodology effectively deals with all the three main constituents of a machine loading problem, viz. job sequence determination, operation machine allocation and the reallocation of jobs. The main objectives of the FMS loading problem considered here are minimisation of system imbalance and maximisation of throughput; the constraints to be satisfied are the available machining time and tool slots. An analytical argument has been provided to support the membership function related to the operation machine allocation vector. Computational results revealed the superiority of the proposed algorithm over other heuristics when it is tested on a standard data set adopted from literature. A new class of petri net model called the ''Extended neuro fuzzy petri net'' is constructed to capture clearly the various details of the machine loading problem which can be further extended to learn from experience and perform inferences so that truly intelligent system characteristics can be realised.

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“…Minimising tooling costs is considered as the objective criterion. Liang and Dutta [10] have formulated the loading problem by considering the primary objective to be the minimisation of the tooling cost. Leung et al [11] developed a mathematical model to consider the minimisation of the sum of processing cost, in-process tool use cost and material handling cost.…”

Section: )(mentioning

confidence: 99%

Machine loading in flexible manufacturing systems considering routeing flexibility

Rajamani

Adil

1996

Int J Adv Manuf Technol

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An integrated approach to the part selection and machine loading problem in a class of flexible manufacturing systems

Cited by 46 publications

References 15 publications

Multileveled Symbiotic Evolutionary Algorithm: Application to FMS Loading Problems

Multileveled Symbiotic Evolutionary Algorithm: Application to FMS Loading Problems

A fuzzy based algorithm to solve the machine-loading problems of a FMS and its neuro fuzzy petri net model

Machine loading in flexible manufacturing systems considering routeing flexibility

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