Assessment and Comparison of Various MCDM Approaches in the Selection of Manufacturing Process
The selection of manufacturing processes for a given application is a complex problem of multicriteria decision-making although there have been several different approaches that can be utilized to select a suitable alternative. However, identifying appropriate multicriteria decision-making approach...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/4039253 |
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| author | Atef M. Ghaleb Husam Kaid Ali Alsamhan Syed Hammad Mian Lotfi Hidri |
| author_facet | Atef M. Ghaleb Husam Kaid Ali Alsamhan Syed Hammad Mian Lotfi Hidri |
| author_sort | Atef M. Ghaleb |
| collection | DOAJ |
| description | The selection of manufacturing processes for a given application is a complex problem of multicriteria decision-making although there have been several different approaches that can be utilized to select a suitable alternative. However, identifying appropriate multicriteria decision-making approach from the list of available methods for a given application is a difficult task. This work suggests a methodology to assess different selection approaches, which are the technique for order of preference by similarity to ideal solution (TOPSIS), analytic hierarchy process (AHP), and VIKOR: stepwise procedure. This valuation was done depending on the following factors: number of alternative processes and criteria, agility through the process of decision-making, computational complexity, adequacy in supporting a group decision, and addition or removal of a criterion. A case study in this study was presented to analyse the evaluation methodology. The criteria used to evaluate and identify the best manufacturing process were categorized into productivity, accuracy, complexity, flexibility, material utilization, quality, and operation cost. Five manufacturing processes were considered, including gravity die casting, investment casting, pressure die casting, sand casting, and additive manufacturing. The results showed that each approach was suitable for the problems of manufacturing process selection, in particular toward the support of group decision-making and uncertainty modelling. Manufacturing processes were ranked based on their respective weights for AHP, TOPSIS, and VIKOR, and sand casting is the best. In terms of computational complexity, the VIKOR method performed better than TOPSIS and AHP. Moreover, the VIKOR and TOPSIS methods were better convenient to the selection of manufacturing processes for agility during the process of decision-making, the number of alternative processes and criteria, adequacy in supporting a group decision, and addition or removal of a criterion. |
| format | Article |
| id | doaj-art-fda2f35abdd443d19d27c84a3ed0ee10 |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-fda2f35abdd443d19d27c84a3ed0ee102025-02-03T06:06:27ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422020-01-01202010.1155/2020/40392534039253Assessment and Comparison of Various MCDM Approaches in the Selection of Manufacturing ProcessAtef M. Ghaleb0Husam Kaid1Ali Alsamhan2Syed Hammad Mian3Lotfi Hidri4Industrial Engineering Department, College of Engineering, King Saud University, P. O. Box 800, Riyadh 11421, Saudi ArabiaIndustrial Engineering Department, College of Engineering, King Saud University, P. O. Box 800, Riyadh 11421, Saudi ArabiaIndustrial Engineering Department, College of Engineering, King Saud University, P. O. Box 800, Riyadh 11421, Saudi ArabiaAdvanced Manufacturing Institute, College of Engineering, King Saud University, P. O. Box 800, Riyadh 11421, Saudi ArabiaIndustrial Engineering Department, College of Engineering, King Saud University, P. O. Box 800, Riyadh 11421, Saudi ArabiaThe selection of manufacturing processes for a given application is a complex problem of multicriteria decision-making although there have been several different approaches that can be utilized to select a suitable alternative. However, identifying appropriate multicriteria decision-making approach from the list of available methods for a given application is a difficult task. This work suggests a methodology to assess different selection approaches, which are the technique for order of preference by similarity to ideal solution (TOPSIS), analytic hierarchy process (AHP), and VIKOR: stepwise procedure. This valuation was done depending on the following factors: number of alternative processes and criteria, agility through the process of decision-making, computational complexity, adequacy in supporting a group decision, and addition or removal of a criterion. A case study in this study was presented to analyse the evaluation methodology. The criteria used to evaluate and identify the best manufacturing process were categorized into productivity, accuracy, complexity, flexibility, material utilization, quality, and operation cost. Five manufacturing processes were considered, including gravity die casting, investment casting, pressure die casting, sand casting, and additive manufacturing. The results showed that each approach was suitable for the problems of manufacturing process selection, in particular toward the support of group decision-making and uncertainty modelling. Manufacturing processes were ranked based on their respective weights for AHP, TOPSIS, and VIKOR, and sand casting is the best. In terms of computational complexity, the VIKOR method performed better than TOPSIS and AHP. Moreover, the VIKOR and TOPSIS methods were better convenient to the selection of manufacturing processes for agility during the process of decision-making, the number of alternative processes and criteria, adequacy in supporting a group decision, and addition or removal of a criterion.http://dx.doi.org/10.1155/2020/4039253 |
| spellingShingle | Atef M. Ghaleb Husam Kaid Ali Alsamhan Syed Hammad Mian Lotfi Hidri Assessment and Comparison of Various MCDM Approaches in the Selection of Manufacturing Process Advances in Materials Science and Engineering |
| title | Assessment and Comparison of Various MCDM Approaches in the Selection of Manufacturing Process |
| title_full | Assessment and Comparison of Various MCDM Approaches in the Selection of Manufacturing Process |
| title_fullStr | Assessment and Comparison of Various MCDM Approaches in the Selection of Manufacturing Process |
| title_full_unstemmed | Assessment and Comparison of Various MCDM Approaches in the Selection of Manufacturing Process |
| title_short | Assessment and Comparison of Various MCDM Approaches in the Selection of Manufacturing Process |
| title_sort | assessment and comparison of various mcdm approaches in the selection of manufacturing process |
| url | http://dx.doi.org/10.1155/2020/4039253 |
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