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THE MULTI-MODEL COMPARISON AND COMBINED MODEL ANALYSIS OF AN AGGREGATE SCHEDULING DECISION
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  • THE MULTI-MODEL COMPARISON AND COMBINED MODEL ANALYSIS OF AN AGGREGATE SCHEDULING DECISION
  • THE MULTI-MODEL COMPARISON AND COMBINED MODEL ANALYSIS OF AN AGGREGATE SCHEDULING DECISION
저자명
Kang. Suk-Ho
간행물명
대한산업공학회지
권/호정보
1976년|2권 1호|pp.93-100 (8 pages)
발행정보
대한산업공학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

Given a fixed production process and facility capacity, the ability to respond to market fluctuations in terms of changes in production, work force, and inventory is the major task of production management. The costs involved are primarily payroll (regular and overtime), inventory carrying, and hiring and firing. The magnitude of these costs is usually a significant portion of the operating costs of the firm and consequently a small percentage saving due to astute aggregate scheduling can mean substantial absolute saving. At least three demonstrably optimal techniques have been developed for solving this aggregate scheduling problem. These three optimal are apparently LDR, PPP, and SDR. By combining these three different approaches, another optimal solution was obtained by me. I call this CDR (Combined Decision Rule). This approach appears to be useful. This approach may be generalizable to aggregate scheduling involving a short term resources.