Application of fuzzy linear programming to aggregate production plan of a refinery industry in Taiwan
| Autor: | Hsiao-Fan Wang, K.-W. Zheng |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Marketing
021103 operations research Operations research business.industry Strategy and Management Fuzzy set Oil refinery 0211 other engineering and technologies Scheduling (production processes) 02 engineering and technology Management Science and Operations Research Refinery Purchasing Profit (economics) Management Information Systems Production planning 0202 electrical engineering electronic engineering information engineering Economics 020201 artificial intelligence & image processing Project management business |
| Zdroj: | Journal of the Operational Research Society. 64:169-184 |
| ISSN: | 1476-9360 0160-5682 |
| DOI: | 10.1057/jors.2012.12 |
| Popis: | After the oil market in Taiwan has been opened to private enterprise, the oil refinery industries in Taiwan have not only entered a completely free market; but also faced the challenge from world competition. In such an environment, there exist varieties of uncertain factors, which have caused the failure of traditional production planning models. Therefore, in this study we develop a responsive and flexible production planning system to cope with uncertain manufacturing factors. On the basis of fuzzy set theory, the uncertain demand and cost are clarified, and a fuzzy linear programming model is proposed to find a maximal profit production strategy with degree of satisfaction. The proposed model has been applied to CPC Corporation, Taiwan. The results show that the developed model is able to provide useful information for developing profit-effective oil refinery strategies in an uncertain environment. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink