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논문 기본 정보

자료유형
학술저널
저자정보
서근학 (부경대학교) 이경범 (부경대학교)
저널정보
제어로봇시스템학회 제어로봇시스템학회 논문지 제어로봇시스템학회 논문지 제16권 제3호
발행연도
2010.3
수록면
305 - 312 (8page)

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초록· 키워드

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The aim of this study is to find an analytic solution to the problem of determining the optimal capacity of a batch-storage network to meet demand for finished products in a system undergoing joint random variations of operating time and batch material loss. The superstructure of the plant considered here consists of a network of serially and/or parallel interlinked batch processes and storage units. The production processes transform a set of feedstock materials into another set of products with constant conversion factors. The final product demand flow is susceptible to joint random variations in the cycle time and batch size. The production processes have also joint random variations in cycle time and product quantity. The spoiled materials are treated through regeneration or waste disposal processes. The objective function of the optimization is minimizing the total cost, which is composed of setup and inventory holding costs as well as the capital costs of constructing processes and storage units. A novel production and inventory analysis, the PSW (Periodic Square Wave) model, provides a judicious graphical method to find the upper and lower bounds of random flows. The advantage of this model is that it provides a set of simple analytic solutions while also maintaining a realistic description of the random material flows between processes and storage units; as a consequence of these analytic solutions, the computation burden is significantly reduced. The proposed method has the potential to rapidly provide very useful data on which to base investment decisions during the early plant design stage. It should be of particular use when these decisions must be made in a highly uncertain business environment.

목차

Abstract
Ⅰ. 서론
Ⅱ. 이중 불확실성을 갖는 흐름의 상한값과 하한값
Ⅲ. 최적화 모형
Ⅳ. 일단계 최적화 문제의 Kuhn-Tucker 해
Ⅴ. 설계예제
Ⅵ. 결론
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UCI(KEPA) : I410-ECN-0101-2013-569-003310511