Justification for the selection of a reconfigurable manufacturing system: a fuzzy analytical hierarchy based approach

Singh, Ritesh Kumar; Khilwani, Nitesh; Tiwari, Manoj Kumar

doi:10.1080/00207540600844043

Cited by 67 publications

(32 citation statements)

References 21 publications

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“…Second, the ANP has a nonlinear structure, whereas the AHP is hierarchical and linear, containing a goal at the top level and alternatives at the bottom level [26]. Some good review and applications regarding the AHP, ANP and fuzzy ANP can be found in [16,17,[27][28][29]. The first step of the ANP is to compare the criteria in whole systems to form the supermatrix.…”

Section: The Analytic Network Process (Anp)mentioning

confidence: 99%

A hybrid model for selection of an outsourcing provider

Liou

Wang

Hsu

et al. 2011

Applied Mathematical Modelling

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a b s t r a c tOutsourcing is a good strategy for firms that need to reduce operating costs and improve competitiveness and it is important that firms scientifically select appropriate outsourcing providers. Some efforts have been made to find systematic ways to deal with outsourcing problems, but these efforts incorrectly assumed that the criteria used in the decision process are independent, which is not true in the real world. In this study, we propose a new hybrid multiple criteria decision-making (MCDM) model, which addresses the dependent relationships between the various criteria. The relations-structure among the criteria is built with the aid of the decision-making trial and evaluation laboratory (DEMATEL) method. Decision-makers tend to hold diverse opinions about their preferences due to incomplete information and knowledge, or inherent conflict between various departments. We further used the fuzzy preference programming and the analytic network process (ANP) to form a model for the selection of partners for outsourcing providers. The proposed model can help practitioners improve their decision making process, especially when criteria are numerous and inter-related. The method is demonstrated using data from a Taiwanese airline.

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Section: The Analytic Network Process (Anp)mentioning

confidence: 99%

A hybrid model for selection of an outsourcing provider

Liou

Wang

Hsu

et al. 2011

Applied Mathematical Modelling

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“…In the present world economy, demand for products is unpredictable; the market is highly competitive, dynamic and customer-driven [2]. Customers' demands keep on growing wider apart on daily basis.…”

Section: Need For Reconfigurability In Mould and Dies Manufacturementioning

confidence: 99%

“…From these three given definitions and others [4,5], it could be deducted that the major objective of reconfigurability is to achieve "exactly the capacity and functionality required and exactly when needed". Reconfigurability is achieved by accomplishing the following six basic characteristics [2]: modularity, scalability, integrability, convertibility, diagnosibility, and customisation. According to Koren et al [6] Modularity, integrability, and diagnosibility reduce the reconfiguration time and effort while customization, scalability and convertibility reduce the cost of maintenance, the cost of the system and consequently the cost of production.…”

Section: Reconfigurability As Defined By Nsf Engineering Research Cenmentioning

confidence: 99%

Reconfigurability Approach in Manufacture of Moulds and Dies

Oke

Abou-El-Hossein

Theron

2011

AMR

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Manufacturing of moulds and dies based on the rigid and traditional arrangement of dedicated workstations in a production system can no more stand the test of time. The dynamic and competitive nature of the market is compelling managements in the industry to look for a manufacturing system that (1) will ensure high quality product, (2) will pave way for a quick changeover to a new setup to be able to accommodate the new products, (3) will ensures short lead times in product/process changeover, and (4) that will make its product come out at a relatively low cost. An emerging strategy that might enable industries to cope with the rapidly changing product specifications is based on reconfiguring the manufacturing systems. A manufacturing strategy that is based on reconfiguration of the manufacturing systems may help accommodate emergent product changes in short periods at the lowest possible costs by combining certain levels of flexibility and customised automation. In this paper the principles of reconfigurability is being considered for mould and die making industry.

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“…Based on this, a quantitative model for RMS integrability is established, as shown in Eqs. (15), (16), and (17).…”

Section: Quantitative Model For Rms Integrabilitymentioning

confidence: 99%

“…The introduction of fuzzy multi-criteria models that integrate multiple indices involving the economic mode, quality, production capacity, etc., ensured that the selection results were more applicable in actual practice. Singh et al [16] established an MCD-making module using the AHP, which was combined with fuzzy logic to conduct pairwise comparisons of alternatives. The authors also tried to quantify qualitative indices, which improved the efficiency and accuracy of the selection results.…”

Section: Literature Reviewmentioning

confidence: 99%

Reconfiguration schemes evaluation based on preference ranking of key characteristics of reconfigurable manufacturing systems

Wang

Huang

Yan

et al. 2016

Int J Adv Manuf Technol

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To address the problem of how to build quantitative evaluation index models that reflect the essential characteristics of reconfigurable manufacturing system (RMS) and rank alternative reconfiguration schemes, which possess both advantages and disadvantages, an evaluation method based on the preference ranking organization method for enrichment evaluation (PROMETHEE) is proposed. Based on a consideration of the reconfiguration of the reconfigurable machine components and manufacturing cells, quantitative models of the key characteristics of an RMS (scalability, convertibility, diagnosability, modularity, integrability, and customization) are established, after which the quantitative models are used as the basis for constructing an RMS evaluation index system. The analytic hierarchy process (AHP) is used to assign the weights for these indices. During the evaluation process, PROMETHEE I is first applied to analyze the advantages and disadvantages of each alternative scheme. Then, PROMETHEE II is adopted to analyze the net advantages of the schemes. Finally, all of the alternative configurations are ranked according to the analysis results above. The workshop of an institute that has both research and production capabilities was used as an example to validate the effectiveness and practicability of the proposed method. The example contains 10 alternative reconfiguration schemes, and each scheme consists of six evaluation indices. The computation result shows that quantitative models of six key RMS characteristics are equipped with the ability of quantitative description of the RMS reconfiguration scheme, which gives intuitive decision-making information combined with PROMETHEE, including advantage and disadvantage between alternative schemes, for a decision-maker to select the satisfactory configuration. In addition, only a 7.2 % data loss during the evaluation data processing means the rationality of the selected evaluation index and evaluation algorithm.

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Justification for the selection of a reconfigurable manufacturing system: a fuzzy analytical hierarchy based approach

Cited by 67 publications

References 21 publications

A hybrid model for selection of an outsourcing provider

A hybrid model for selection of an outsourcing provider

Reconfigurability Approach in Manufacture of Moulds and Dies

Reconfiguration schemes evaluation based on preference ranking of key characteristics of reconfigurable manufacturing systems

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