dc.citation.endPage |
1849 |
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dc.citation.number |
8 |
- |
dc.citation.startPage |
1831 |
- |
dc.citation.title |
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH |
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dc.citation.volume |
41 |
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dc.contributor.author |
Cha, YP |
- |
dc.contributor.author |
Jung, Mooyoung |
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dc.date.accessioned |
2023-12-22T11:36:10Z |
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dc.date.available |
2023-12-22T11:36:10Z |
- |
dc.date.created |
2014-09-05 |
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dc.date.issued |
2003-01 |
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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. |
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dc.identifier.bibliographicCitation |
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.41, no.8, pp.1831 - 1849 |
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dc.identifier.doi |
10.1080/1352816031000074937 |
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dc.identifier.issn |
0020-7543 |
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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 |
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dc.identifier.wosid |
000182847000012 |
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dc.language |
영어 |
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dc.publisher |
TAYLOR & FRANCIS LTD |
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dc.title |
Satisfaction assessment of multi-objective schedules using neural fuzzy methodology |
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dc.type |
Article |
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dc.description.journalRegisteredClass |
scopus |
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