dc.citation.conferencePlace |
KO |
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dc.citation.conferencePlace |
YangYang, Korea |
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dc.citation.endPage |
559 |
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dc.citation.startPage |
556 |
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dc.citation.title |
대한산업공학회/한국경영과학회 춘계공동학술대회 |
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dc.contributor.author |
Cha, Yeong Pil |
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dc.contributor.author |
Jung, Mooyoung |
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dc.date.accessioned |
2023-12-20T06:36:00Z |
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dc.date.available |
2023-12-20T06:36:00Z |
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dc.date.created |
2014-12-23 |
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dc.date.issued |
2001-04-27 |
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dc.description.abstract |
In the rapidly changing manufacturing environment and marketplaces 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 the scheduling simulator. Various performance indicators(criteria) are aggregated into a satisfaction score for schedule assessment. We propose an aggregation methodology to provide a consistent and dimensionless degree of satisfaction using fuzzy logic and neural network technology to assess a production schedule respect to the company's global, objective and purpose. This paper extends TOPSIS, which is a common technique for MADM(Multi-Attribute Decision Making) problems, by using fuzzy logic to deal with inaccurate and linguistic information, such as expertise, and uses Extended TOPSIS as the aggregation tool. |
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dc.identifier.bibliographicCitation |
대한산업공학회/한국경영과학회 춘계공동학술대회, pp.556 - 559 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/52286 |
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dc.publisher |
대한산업공학회/한국경영과학회 |
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dc.title.alternative |
Satisfaction Assessment of Production Schedules Using Extended TOPSIS |
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dc.title |
TOPSIS를 이용한 생산 스케줄의 만족도 평가 |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2001-04-27 |
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