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DC Field | Value | Language |
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dc.citation.endPage | 1849 | - |
dc.citation.number | 8 | - |
dc.citation.startPage | 1831 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | - |
dc.citation.volume | 41 | - |
dc.contributor.author | Cha, YP | - |
dc.contributor.author | Jung, Mooyoung | - |
dc.date.accessioned | 2023-12-22T11:36:10Z | - |
dc.date.available | 2023-12-22T11:36:10Z | - |
dc.date.created | 2014-09-05 | - |
dc.date.issued | 2003-01 | - |
dc.description.abstract | In the rapidly changing manufacturing environment and marketplace of today, the selection and evaluation of an appropriate manufacturing policy is a vital issue. However, this is a difficult task for decision-makers because manufacturing objectives are multiple, complex, conflict and often vague. This paper presents a methodology for a satisfaction assessment of multi-objective schedules with results from a scheduling simulator. In addition, a general objective structure appropriate for multi-objective manufacturing scheduling is also proposed for use in satisfaction assessment methodologies. The general objective structure is a hierarchical structure of the scheduling objective that consists of a goal, subgoal and criteria. The assessment methodology was based on a neural network and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS), which is a common technique for multi-attribute decision-making problems. This paper extends TOPSIS by using fuzzy logic to deal with inaccurate and linguistic attributes in the general objective structure and a neural network for the weight calculation of inter-attribute importance. | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.41, no.8, pp.1831 - 1849 | - |
dc.identifier.doi | 10.1080/1352816031000074937 | - |
dc.identifier.issn | 0020-7543 | - |
dc.identifier.scopusid | 2-s2.0-0242269852 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/5910 | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=0242269852 | - |
dc.identifier.wosid | 000182847000012 | - |
dc.language | 영어 | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.title | Satisfaction assessment of multi-objective schedules using neural fuzzy methodology | - |
dc.type | Article | - |
dc.description.journalRegisteredClass | scopus | - |
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