Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations
Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology has been proposed to solve complex and intertwined problem groups in many situations such as developing the capabilities, complex group decision making, security problems, marketing approaches, global managers, and control systems...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/103846 |
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| author | Elham Falatoonitoosi Shamsuddin Ahmed Shahryar Sorooshian |
| author_facet | Elham Falatoonitoosi Shamsuddin Ahmed Shahryar Sorooshian |
| author_sort | Elham Falatoonitoosi |
| collection | DOAJ |
| description | Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology has been proposed to solve complex and intertwined problem groups in many situations such as developing the capabilities, complex group decision making, security problems, marketing approaches, global managers, and control systems. DEMATEL is able to realize casual relationships by dividing important issues into cause and effect group as well as making it possible to visualize the casual relationships of subcriteria and systems in the course of casual diagram that it may demonstrate communication network or a little control relationships between individuals. Despite of its ability to visualize cause and effect inside a network, the original DEMATEL has not been able to find the cause and effect group between different networks. Therefore, the aim of this study is proposing the expanded DEMATEL to cover this deficiency by new formulations to determine cause and effect factors between separate networks that have bidirectional direct impact on each other. At the end, the feasibility of new extra formulations is validated by case study in three numerical examples of green supply chain networks for an automotive company. |
| format | Article |
| id | doaj-art-919398a2d90346288da2f0ab2f2cbf37 |
| institution | OA Journals |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-919398a2d90346288da2f0ab2f2cbf372025-08-20T02:10:09ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/103846103846Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional RelationsElham Falatoonitoosi0Shamsuddin Ahmed1Shahryar Sorooshian2Manufacturing System Integration (MSI), Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, MalaysiaManufacturing System Integration (MSI), Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, MalaysiaFaculty of Technology, Universiti Malaysia Pahang, 26300 Gambang, Kuantan, Pahang, MalaysiaDecision-Making Trial and Evaluation Laboratory (DEMATEL) methodology has been proposed to solve complex and intertwined problem groups in many situations such as developing the capabilities, complex group decision making, security problems, marketing approaches, global managers, and control systems. DEMATEL is able to realize casual relationships by dividing important issues into cause and effect group as well as making it possible to visualize the casual relationships of subcriteria and systems in the course of casual diagram that it may demonstrate communication network or a little control relationships between individuals. Despite of its ability to visualize cause and effect inside a network, the original DEMATEL has not been able to find the cause and effect group between different networks. Therefore, the aim of this study is proposing the expanded DEMATEL to cover this deficiency by new formulations to determine cause and effect factors between separate networks that have bidirectional direct impact on each other. At the end, the feasibility of new extra formulations is validated by case study in three numerical examples of green supply chain networks for an automotive company.http://dx.doi.org/10.1155/2014/103846 |
| spellingShingle | Elham Falatoonitoosi Shamsuddin Ahmed Shahryar Sorooshian Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations The Scientific World Journal |
| title | Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations |
| title_full | Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations |
| title_fullStr | Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations |
| title_full_unstemmed | Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations |
| title_short | Expanded DEMATEL for Determining Cause and Effect Group in Bidirectional Relations |
| title_sort | expanded dematel for determining cause and effect group in bidirectional relations |
| url | http://dx.doi.org/10.1155/2014/103846 |
| work_keys_str_mv | AT elhamfalatoonitoosi expandeddematelfordeterminingcauseandeffectgroupinbidirectionalrelations AT shamsuddinahmed expandeddematelfordeterminingcauseandeffectgroupinbidirectionalrelations AT shahryarsorooshian expandeddematelfordeterminingcauseandeffectgroupinbidirectionalrelations |