Towards an integrated model of operation allocation and material handling selection in cellular manufacturing systems

Lashkari, R. S.; Boparai, Ramanpreet.; Paulo, J.

doi:10.1016/s0925-5273(03)00097-5

Cited by 26 publications

(14 citation statements)

References 17 publications

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“…A 0-1 integer programming model has been developed by Sujono and Lashkari (2007) to determine concurrent operation allocation and material handling system selection in a flexible manufacturing systems (FMS) environment. It resolves the limitations of the previous studies by Paulo, Lashkari, and Dutta (2002) and Lashkari, Boparai, and Paulo (2004).…”

Section: Literature Reviewsupporting

confidence: 59%

A new hybrid fuzzy multi-criteria decision making model for solving the material handling equipment selection problem

Hadi-Vencheh

Mohamadghasemi

2014

International Journal of Computer Integrated Manufacturing

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The material handling system has important impact on performance of a manufacturing or service system. The material handling equipment (MHE) selection problem generally includes evaluation of finite number of alternatives which should be ranked against different qualitative or quantitative criteria or sub-criteria. Accordingly, such a problem can be considered as a multi-criteria decision-making problem. Thus, in this article, the voting approach is first used to weight criteria and subcriteria, by introducing the assessment grades such as very low importance, low importance, moderate importance, high importance and very high importance. The synthetic value of judgements method is then adopted to convert the assessments stated as linguistics variables (by all experts) for each alternative with respect to each sub-criterion into a single fuzzy weight. Next, fuzzy weighted average is applied to aggregate the single fuzzy weights of each alternative related to subcriteria under each criterion. Finally, the fuzzy vlsekriterijumska optimizacija i kompromisno resenje approach is used to select the optimal MHE. Also, in order to demonstrate the effectiveness of the proposed approach, a case study is considered and the results are compared with fuzzy technique for order preference by similarity to ideal solution method.

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Section: Literature Reviewsupporting

confidence: 59%

A new hybrid fuzzy multi-criteria decision making model for solving the material handling equipment selection problem

Hadi-Vencheh

Mohamadghasemi

2014

International Journal of Computer Integrated Manufacturing

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“…Deb et al (2002) used a fuzzy MCDM method to aggregate rating attitudes of the decision makers (DMs) and trade-off various selection criteria to find out values of fuzzy suitability indices for final ranking of MHE alternatives. Lashkari et al (2004) presented an integrated model of operation allocation and MHE selection in cellular manufacturing systems. Kulak (2005) developed a decision support system to identify the most appropriate equipment among the alternatives of the same type using fuzzy information axiom of axiomatic design (AD) principles.…”

Section: Review Of the Literaturementioning

confidence: 99%

Selection of Material Handling Equipment Using Fuzzy Axiomatic Design Principles

Khandekar¹,

Chakraborty²

2015

Informatica

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Effective movement of materials plays an important role in successful operation of any organization. Proper methods adopted for material movement are also crucial for the overall safety of the personnel involved in the manufacturing processes. Selection of the appropriate material handling equipment (MHE) is a vital task for improving productivity of an organization. In today's technological era, varieties of MHEs are available to carry out a desired task. Depending on the type of material to be moved, there are many quantitative and qualitative factors influencing the selection decision of a suitable MHE. The problem of selecting the right type of MHE for a given purpose can be solved using multi-criteria decision-making (MCDM) methods which are capable of dealing with the combination of crisp and fuzzy data. In this paper, an MCDM method employing fuzzy axiomatic design principles is applied for selecting the most appropriate MHE for the given task. As a measure of suitability, the total information content is calculated for each MHE and the MHE alternative with the least total information content is regarded as the best choice. Two real time problems from the literature, i.e. selection of an automated guided vehicle, and selection of loading and hauling equipments in surface mines, are solved to validate the applicability, flexibility and potentiality of the adopted approach.

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“…They presented two 0-1 integer programming models, one for operation allocation (OA), and the second, for material handling system selection (MHSS), which are solved sequentially. Lashkari et al (2004) developed a modified 0-1 integer programming model that was solved iteratively to find a locally optimal solution. The output of the OA model is in the form of the manufacturing operations to be performed at each machine.…”

Section: Literature Reviewmentioning

confidence: 99%

Incremental analysis for the performance evaluation of material handling equipment: A holistic approach

Bairagi¹,

Dey²,

Sarkar³

2013

10.5267/j.uscm

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Towards an integrated model of operation allocation and material handling selection in cellular manufacturing systems

Cited by 26 publications

References 17 publications

A new hybrid fuzzy multi-criteria decision making model for solving the material handling equipment selection problem

A new hybrid fuzzy multi-criteria decision making model for solving the material handling equipment selection problem

Selection of Material Handling Equipment Using Fuzzy Axiomatic Design Principles

Incremental analysis for the performance evaluation of material handling equipment: A holistic approach

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