A Mathematical Model for Power Generation Expansion Planning with Considering Distributed Generation Units and Decreasing Carbon Dioxide | ||
| Industrial Management Journal | ||
| مقاله 2، دوره 9، شماره 4، 2017، صفحه 563-586 اصل مقاله (496.99 K) | ||
| نوع مقاله: Original Research Article | ||
| شناسه دیجیتال (DOI): 10.22059/imj.2017.228903.1007205 | ||
| نویسندگان | ||
| Mehran Ebrahimi1؛ Hossein Safari* 2؛ Mohammad Reza Sadeghi Moghaddam3 | ||
| 1PhD Candidate, Industrial Management Department, Faculty of Management, University of Tehran | ||
| 2Prof. of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran | ||
| 3Assistant Prof. of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran | ||
| چکیده | ||
| In the recent years, there has been an increase in the likelihood of the occurrence of the risks and unexpected events in supply chains. As a result, supply chains are more vulnerable to disruption and the risks on supply chain continuity has increased. The ability to manage risks and disruptions is one important aspect that differentiates between successful business leaders and others. This present research, therefore, attempts to present a system-wide approach to conceptualize a novel -to our knowledge- supply chain continuity management model. First, a systematic literature review was conducted to identify and explore appropriate capabilities and strategies that can be employed to improve the continuity of a supply chain. Then, a Fuzzy Axiomatic Design (FAD) approach was used to develop a supply chain continuity management model in automobile industry. In each step, independence and information axioms were used to evaluate the identified solutions. | ||
| کلیدواژهها | ||
| Axiomatic Design؛ Disruption؛ Risk؛ Supply Chain Continuity Management؛ Supply Chain | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 1,369 تعداد دریافت فایل اصل مقاله: 1,041 |
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