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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2019.11
- 수록면
- 2,448 - 2,455 (8page)
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이 논문의 연구 히스토리 (3)
2016
The Development of Mathematical Model for Reconfiguration Time Minimization in Reconfigurable Manufacturing Systems
Kezia Amanda Ku
,
niadi
,
류광열
한국경영과학회 학술대회논문집
2016.04
학술대회자료
The Development of Mathematical Model for Reconfiguration Time Minimization in Reconfigurable Manufacturing Systems
Kezia Amanda Ku
,
niadi
,
류광열
대한산업공학회 춘계공동학술대회 논문집
2016.04
학술대회자료
- 이 논문의 후속연구가 궁금하신가요?
- 연관 학술논문 또는 학술발표를 통해 보다 발전된 연구결과를 확인하실 수 있습니다.
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초록· 키워드
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In recent manufacturing system’s environment, reconfiguration process is one of the key issues in achieving and satisfying a fast-changing, fully-customized, high demand production requirement. Reconfiguration process involves not only reconfiguration of physical equipments, but also software or computer applications, even company’s database or system’s calculations. In reconfiguration manufacturing system, reconfiguration process happens when the new demand is received, then the production floor will calculate how many machines exactly needed to satisfy the new demand. Reconfiguration process has a strong relationship with cost, time, and energy. When it happens, the most crucial things to take on consideration is reconfiguration cost and how the company can satisfy the new demand within the customer’s duedate. Therefore, in order to minimize the reconfiguration cost, not only a thorough objective function and constraints are needed, but we also need to examine the complexity and various attributes of reconfiguration process. This paper addresses the various in-depth order of reconfiguration’s step-by-step process followed by each required formulation to finally accomplish a reconfigurable, self-adapting, and transformable manufacturing system.
목차
Abstract
1. Introduction
2. Reconfiguration Process in RMS
3. Case Study
4. Conclusions and Future Research
References
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UCI(KEPA) : I410-ECN-0101-2019-530-001292559