A design strategy for reconfigurable manufacturing systems (RMSs) using analytical hierarchical process (AHP): A case study

Abdi, Mohammad Reza; Labib, Ashraf

doi:10.1080/0020754031000077266

Cited by 179 publications

(76 citation statements)

References 25 publications

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“…An analytical hierarchical process (AHP) model is used while considering both market and manufacturing requirements, which is illustrated by a case study in Ref. [58]. Galan et al [59] also used the AHP method to build the similarity matrix among different products, by considering the product requirements such as modularity, commonality, compatibility, reusability, and demand.…”

Section: Formulating a Product Family By Utilizing Principlementioning

confidence: 99%

Reconfigurable manufacturing systems: Principles, design, and future trends

2017

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Reconfigurable manufacturing systems (RMSs), which possess the advantages of both dedicated serial lines and flexible manufacturing systems, were introduced in the mid-1990s to address the challenges initiated by globalization. The principal goal of an RMS is to enhance the responsiveness of manufacturing systems to unforeseen changes in product demand. RMSs are costeffective because they boost productivity, and increase the lifetime of the manufacturing system. Because of the many streams in which a product may be produced on an RMS, maintaining product precision in an RMS is a challenge. But the experience with RMS in the last 20 years indicates that product quality can be definitely maintained by inserting in-line inspection stations. In this paper, we formulate the design and operational principles for RMSs, and provide a state-of-the-art review of the design and operations methodologies of RMSs according to these principles. Finally, we propose future research directions, and deliberate on how recent intelligent manufacturing technologies may advance the design and operations of RMSs.

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Section: Formulating a Product Family By Utilizing Principlementioning

confidence: 99%

Reconfigurable manufacturing systems: Principles, design, and future trends

2017

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“…Abdi et al [14] used the AHP to build a decision-making system for RMS configurations. In addition, based on an analysis of the production cost and quality, a new evaluation index, called manufacturing responsiveness, was proposed for evaluating alternative schemes.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Based on the above analysis, a quantitative model is established for the RMS modularity evaluation, as shown in Eqs. (12), (13), and (14).…”

Section: Quantitative Model For Rms Modularitymentioning

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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“…This activity has proved to be beneficial in a large number of real-life domains (Wu and Lee, 2007;Madas and Zografos, 2008;Bello-Dambatta et al, 2009;Abdi and Labib, 2003), as it enables the formalisation of the decision process, making possible to iterate and to validate it (e.g., to validate whether the judgments on the criteria are sound or not) and to make evidence of the decision process to the decision makers involved. When prior experience is missing on formalising and understanding complex decision making processes involving several actors, a systematic and comprehensive approach as MCDM is very useful.…”

Section: Introductionmentioning

confidence: 99%

Applying the AHP to Smart Mobility Services: A Case Study

Boselli

Cesarini

Mercorio

et al. 2015

Proceedings of 4th International Conference on Data Management Technologies and Applications

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Abstract:Making decision is a far from straightforward process, as it often requires to consider a number of complex criteria whose importance relies on the experiences and the preferences of the decision makers involved. Being able to structure and reproduce this knowledge is a challenging issue in the context of strategic decision making, and also common BI analytics can benefit from the joint use of that knowledge. As a contribution, in this work we describe how a multi criteria decision making technique, i.e., the Analytic Hierarchy Process, has been applied to a smart-mobility context, where the decision goal was to weight the factors that support the innovation of a smart mobility service in the city of Milan. The AHP has been selected as it allows considering both tangible and intangible factors that guide the decision within the model. We employed three distinct kind of stakeholders, namely service providers, over 35, and under 35 users and we synthesised a ranking of criteria on the basis of the preferences they provided. The results shed the light on the different judgments that each group gives to the identified criteria in terms of both ranking and importance.

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A design strategy for reconfigurable manufacturing systems (RMSs) using analytical hierarchical process (AHP): A case study

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Cited by 179 publications

References 25 publications

Reconfigurable manufacturing systems: Principles, design, and future trends

Reconfigurable manufacturing systems: Principles, design, and future trends

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

Applying the AHP to Smart Mobility Services: A Case Study

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