A New Decision Making Model based on Factor Analysis (FA), F-ANP, and F-ARAS for Selecting and Ranking Maintenance Strategies
| Autor: | Alireza Aslani, Habib Farajpoor Khanaposhtani, Mohsen Shafiei Nikabadi, Hossein Eftekhari |
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| Rok vydání: | 2016 |
| Předmět: |
Operations research
Computer science Strategy and Management 05 social sciences 02 engineering and technology computer.software_genre Ranking (information retrieval) Factor (programming language) 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data mining Business and International Management computer 050203 business & management Decision-making models computer.programming_language |
| Zdroj: | International Journal of Business Analytics. 3:41-63 |
| ISSN: | 2334-4555 2334-4547 |
| DOI: | 10.4018/ijban.2016100103 |
| Popis: | Today, companies have admired that maintenance is a profitable commercial element. Therefore, its role in modern manufacturing systems has become more important. Maintenance plays a vital role in achieving organizational goals and improving indicators such as reliability, accessibility, decreasing equipment downtime, products quality, risk mitigation, productivity increase, equipment safety, etc. In this regard, maintenance and its strategies have found special importance in industry. As a result, the main aim of this research is to select the best maintenance strategy by using Fuzzy ARAS and Fuzzy ANP techniques in oil industry (Tehran Oil Refinery – Shahr-e-Ray). Since many variables (i.e. security, cost, added – value, etc.) are effective in selecting a maintenance strategy, these variables are initially identified by reviewing the relevant literature and maintenance experts' opinions and then the best maintenance strategy is selected by using Fuzzy ARAS. |
| Databáze: | OpenAIRE |
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