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      재생품 공급량이 불확실한 주문시분해 환경에서의 생산 및 재제조 계획

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Remanufacturing is a process of recovering end-of-life products into serviceable parts for producing new products. Due to the limited supply of recovery cores to remanufacture, a remanufacturing firm also needs to produce or procure new parts for fulfilling the demand. This paper is targeted for solving the problem of determining the optimal amount of newly produced and remanufacturing parts, which is called production and remanufacturing planning (PRP) problem, under uncertain supply of recovery cores. The new production mitigates the risk of insufficient core supply while it takes more costs than the remanufacturing. The PRP model in this paper also considers disassemble-to-order (DTO) environment, in which multiple kinds of parts are remanufactured from multiple products on order of the parts. Whereas existing studies presents only heuristic solutions for DTO remanufacturing, this paper provides an exact solution for this problem and analytical sensitivity of the involved cost parameters, adopting multi-dimensional newsvendor modeling and stochastic linear programming techniques. The result shows that production and remanufacturing plans for multiple products are mutually dependent, and a change of cost parameters involved in only one part is propagated to all other parts.
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      Remanufacturing is a process of recovering end-of-life products into serviceable parts for producing new products. Due to the limited supply of recovery cores to remanufacture, a remanufacturing firm also needs to produce or procure new parts for fulf...

      Remanufacturing is a process of recovering end-of-life products into serviceable parts for producing new products. Due to the limited supply of recovery cores to remanufacture, a remanufacturing firm also needs to produce or procure new parts for fulfilling the demand. This paper is targeted for solving the problem of determining the optimal amount of newly produced and remanufacturing parts, which is called production and remanufacturing planning (PRP) problem, under uncertain supply of recovery cores. The new production mitigates the risk of insufficient core supply while it takes more costs than the remanufacturing. The PRP model in this paper also considers disassemble-to-order (DTO) environment, in which multiple kinds of parts are remanufactured from multiple products on order of the parts. Whereas existing studies presents only heuristic solutions for DTO remanufacturing, this paper provides an exact solution for this problem and analytical sensitivity of the involved cost parameters, adopting multi-dimensional newsvendor modeling and stochastic linear programming techniques. The result shows that production and remanufacturing plans for multiple products are mutually dependent, and a change of cost parameters involved in only one part is propagated to all other parts.

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      목차 (Table of Contents)

      • Abstract
      • 1. 서론
      • 2. 관련 연구
      • 3. 연구모형
      • 4. 최적 생산량 결정
      • Abstract
      • 1. 서론
      • 2. 관련 연구
      • 3. 연구모형
      • 4. 최적 생산량 결정
      • 5. 재제조 횐경에 대한 민감도 분석
      • 6. 결론 및 추후 연구
      • 참고문헌
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      참고문헌 (Reference)

      1 박찬우, "주문-조립 시스템의 설계 및 성능평가" 한국경영과학회 27 (27): 41-65, 2002

      2 박상욱, "공급업자의 공급불확실성이 재고관리 비용에 미치는 효과에 관한 연구" 26 (26): 105-117, 2001

      3 Henig, M., "The structure of periodic review policies in the presence of random yield" 38 (38): 634-643, 1990

      4 Kim, K., "Supply planning model for remanufacturing system in reverse logistics environment" 51 (51): 279-287, 2006

      5 Thierry, M.C., "Strategic issues in product recovery management" 37 (37): 114-135, 1995

      6 Inderfurth, K., "Simple optimal replenishment and disposal policies for a product recovery system with leadtimes" 19 (19): 111-122, 1997

      7 Lund, R., "Remanufacturing" 87 (87): 18-23, 1984

      8 Guide Jr., V.D.R, "Production planning and control for remanufacturing : Industry practice and research needs" 18 (18): 467-483, 2000

      9 Fine, C.H., "Optimal investment in product-flexible manufacturing capacity" 36 (36): 449-466, 1990

      10 Schulz, T., "On the alignment of lot sizing decisions in a remanufacturing system in the presence of random yield" 1 (1): 1-11, 2011

      1 박찬우, "주문-조립 시스템의 설계 및 성능평가" 한국경영과학회 27 (27): 41-65, 2002

      2 박상욱, "공급업자의 공급불확실성이 재고관리 비용에 미치는 효과에 관한 연구" 26 (26): 105-117, 2001

      3 Henig, M., "The structure of periodic review policies in the presence of random yield" 38 (38): 634-643, 1990

      4 Kim, K., "Supply planning model for remanufacturing system in reverse logistics environment" 51 (51): 279-287, 2006

      5 Thierry, M.C., "Strategic issues in product recovery management" 37 (37): 114-135, 1995

      6 Inderfurth, K., "Simple optimal replenishment and disposal policies for a product recovery system with leadtimes" 19 (19): 111-122, 1997

      7 Lund, R., "Remanufacturing" 87 (87): 18-23, 1984

      8 Guide Jr., V.D.R, "Production planning and control for remanufacturing : Industry practice and research needs" 18 (18): 467-483, 2000

      9 Fine, C.H., "Optimal investment in product-flexible manufacturing capacity" 36 (36): 449-466, 1990

      10 Schulz, T., "On the alignment of lot sizing decisions in a remanufacturing system in the presence of random yield" 1 (1): 1-11, 2011

      11 Harrison, J.M., "Multi- resource investment strategies : Operational hedging under demand uncertainty" 113 (113): 17-29, 1999

      12 Guide Jr., V.D.R., "Managing product returns for remanufacturing" 10 (10): 142-155, 2001

      13 Inderfurth, K., "Leadtime effects and policy improvement for stochastic inventory control with remanufacturing" 71 (71): 381-390, 2001

      14 Van Mieghem, J. A., "Investment strategies for flexible resources" 44 (44): 1071-1078, 1998

      15 Van der Laan, E., "Inventory control in hybrid systems with remanufacturing" 45 (45): 733-747, 1999

      16 Madansky, A., "Inequalities for stochastic linear programming problems" 6 (6): 197-204, 1960

      17 Mangun, D., "Incorporating component reuse, remanufacture, and recycle into product portfolio design" 49 (49): 479-490, 2002

      18 Inderfurth, K., "Heuristics for solving disassemble-to-order problems with stochastic yields" 28 (28): 73-99, 2006

      19 Langella, I. M., "Heuristics for demand-driven disassembly planning" 34 (34): 552-577, 2007

      20 Schulz, T., "Examining the performance of heuristics for the disassemble-to- order problem under rolling planning using actual product structures"

      21 Golany, B., "Economic lot- sizing with remanufacturing options" 33 (33): 995-1003, 2001

      22 Kwak, M., "E-waste stream analysis and design implications" 133 (133): 1010031-1010038, 2011

      23 Teunter, R.H., "Dynamic lot sizing with product returns and remanufacturing" 44 (44): 4377-4400, 2006

      24 Kang, C.M., "Dynamic disassembly planning for remanufacturing of multiple types of products" 50 (50): 6236-6248, 2012

      25 Taleb, K.N., "Disassembly of multiple product structures" 32 (32): 949-961, 1997

      26 Fleischmann, M, "Controlling inventories with stochastic item returns : A basic model" 138 (138): 63-75, 2002

      27 Kim, H.J., "Capacitated disassembly scheduling with random demand" 48 (48): 7177-7194, 2010

      28 Doğru, M. K., "A stochastic programming based inventory policy for assemble-to-order systems with application to the w model" 58 (58): 849-864, 2010

      29 Kiesmüller, G. P., "A new approach for controlling a hybrid stochastic manufacturing/remanufacturing system with inventories and different leadtimes" 147 (147): 62-71, 2003

      30 Kongar, E., "A multi-criteria decision making approach for disassembly-to- order systems" 11 (11): 171-183, 2002

      31 Yang, J., "A concave-cost production planning problem with remanufacturing options" 52 (52): 443-458, 2005

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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.66 0.66 0.69
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      0.69 0.66 1.157 0.2
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