• Title/Summary/Keyword: Production Operations Management

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A Study on Selecting the Areas That Need to Be Improved in R&D and Production Management of SMEs (중소기업의 연구개발 및 생산운영관리 개선영역 도출에 관한 연구)

  • Chang, Youngsoon
    • Korean Management Science Review
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    • v.30 no.3
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    • pp.71-79
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    • 2013
  • This paper investigates and selects the areas that need to be improved in R&D and production management of small and medium size companies. The study on the capability of R&D and production management shows that the areas for evaluating of the R&D and production management levels are composed of 8 elements : R&D resource, R&D support and experience, long-term operations strategy, intermediate range planning, short-term planning, subcontractor management, logistics and inventory management, and quality management. The investigation of the gap between the importance of the areas and the capability of SMEs shows that the most important things are to consolidate supply chain, to improve product and process competitiveness using quality improvement, and to enhance production management through sophisticated short-term planning. The detailed analysis also shows that the areas that need to be improved depend on the size and sales of the company.

Process Reliability Improvement and Setup Cost Reduction in Imperfect Production System

  • Lee, Chang-Hwan
    • Journal of the Korean Operations Research and Management Science Society
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    • v.22 no.4
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    • pp.93-113
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    • 1997
  • In studying an EOQ-like inventory model for a manufacturing process, a number of findings were made. The system can "go out of control" resulting in a relatively minor problem state or "break-down". When the production system is in the minor problem statei produces a number of defective items. It is assumed that each defective piece requires rework cost and related operations. Once the machine breakdown takes place, the production system produces severely defective items that are completely unusable. Each completely unusuable item is immediately discarded and incurs handling cost, scrapped raw material cost and related operations. Two investment options in improving the production process are introduced : (1) reducing the probability of machine breakdown, breakdowns, and (2) simultaneously reducing the probability of machine breakdowns and setup costs. By assuming specific forms of investment cost function, the optimal investment policies are obtained explicitly. Finally, to better understand the model in this paper, the sensitivity of these solutions to changes in parameter values and numerical examples are provided.amples are provided.

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A sutyd on Production Scheduling and Capacity Requirements in Discrete Demand, Fixed Production Quantity System (이산수요, 고정량 생산시스템의 생산일정과 소요용량에 관한 연구)

  • 김만수;강석호
    • Journal of the Korean Operations Research and Management Science Society
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    • v.13 no.2
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    • pp.59-65
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    • 1988
  • This paper discusses the problem of coordinating aggregate planning and production schedules, minimizing the combined set-up inventory and capacity costs. In this study, by using the relation of fixed production quantity and the number of set-up we develop a heuristirc procedure of solving the discrete demand, fixed production quantity, variable capacity problem. First, we obtain the trade-off between set-up cost and capacity cost, then search the point minimizing the combined inventory and capacity costs.

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기계고장을 고려한 생산및 품질검증 정책

  • 이창환
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1996.04a
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    • pp.298-301
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    • 1996
  • This paper addresses the effects of an imperfect production process on the optimal production quantity and quality inspection policies. The system is assumed to deteriorate during the production process. The results are either defective products or machine breakdown whether multiple quality inspection is worth or not. Furthermore, when multiple inspection policy is adopted, the optimal inspection schedule is shown to be equally spaced throughout the production cycle. Exact solution and approximation of the optimal production quantity and approximation of the optimal number of inspection are provided. Finally, to better understand the model of this paper, comparisons between this model and classical EMQ model are provided.

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