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      Joint Replenishment Problem for Single Buyer and Single Supplier System Having the Stochastic Demands

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      https://www.riss.kr/link?id=A82659256

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      다국어 초록 (Multilingual Abstract)

      In this paper, we analyze a logistic system involving a supplier who produces and delivers multiple types of items and a buyer who receives and sells the products to end customers. The buyer controls the inventory level by replenishing each product item up to a given order-up-to-level to cope with stochastic demand of end customers. In response to the buyer’s order, the supplier produces or outsources the ordered item and delivers them at the start of each period.
      For the system described above, a mathematical model for a single type of item was developed from the buyer’s perspective. Based on the model, an efficient method to find the cycle length and safety factor which correspond to a local minimum solution is proposed. This single product model was extended to cover a multiple item situation. From the model, algorithms to decide the base cycle length and order interval of each item were proposed. The results of the computational experiment show that the algorithms were able to determine the global optimum solution for all tested cases within a reasonable amount of time.
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      In this paper, we analyze a logistic system involving a supplier who produces and delivers multiple types of items and a buyer who receives and sells the products to end customers. The buyer controls the inventory level by replenishing each product it...

      In this paper, we analyze a logistic system involving a supplier who produces and delivers multiple types of items and a buyer who receives and sells the products to end customers. The buyer controls the inventory level by replenishing each product item up to a given order-up-to-level to cope with stochastic demand of end customers. In response to the buyer’s order, the supplier produces or outsources the ordered item and delivers them at the start of each period.
      For the system described above, a mathematical model for a single type of item was developed from the buyer’s perspective. Based on the model, an efficient method to find the cycle length and safety factor which correspond to a local minimum solution is proposed. This single product model was extended to cover a multiple item situation. From the model, algorithms to decide the base cycle length and order interval of each item were proposed. The results of the computational experiment show that the algorithms were able to determine the global optimum solution for all tested cases within a reasonable amount of time.

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      목차 (Table of Contents)

      • Abstract
      • 1. Introduction
      • 2. Single Item Problem
      • 3. Multiple Item Problem
      • 4. Computational Experiments
      • Abstract
      • 1. Introduction
      • 2. Single Item Problem
      • 3. Multiple Item Problem
      • 4. Computational Experiments
      • 5. Conclusion
      • References
      • 〈Appendix〉
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      참고문헌 (Reference)

      1 Jackson, P., "The joint replenishment problem with a powers-of-two restriction" 17 (17): 25-32, 1985

      2 Larsen, C., "The Q(s, S) control policy for the joint replenishment problem extended to the case of correlation among item-demands" 118 (118): 292-297, 2009

      3 Atkins, D., "Periodic versus ‘can-order’ policies for coordinated multiitem inventory systems" 34 (34): 791-796, 1988

      4 Viswanathan, S., "Periodic review(s, S) policies for joint replenishment inventory systems" 43 (43): 1447-1454, 1997

      5 Viswanathan, S., "On optimal algorithms for the joint replenishment problem" 53 (53): 1286-1290, 2002

      6 Balintfy, J.L., "On a basic class of multiitem inventory problems" 10 (10): 287-297, 1964

      7 Goyal, S.K., "On A simple method of determining order quantities in joint replenishments under deterministic demand" 25 (25): 604-, 1979

      8 Khouja, M., "Joint replenishment problem under continuous unit cost change" 43 (43): 311-326, 2005

      9 Jeong, W.C., "Joint replenishment problem for a retailing system with stochastic demands" 1-8, 2010

      10 Fogarty, D., "Joint order release decisions under dependent demand" 28 (28): 55-61, 1987

      1 Jackson, P., "The joint replenishment problem with a powers-of-two restriction" 17 (17): 25-32, 1985

      2 Larsen, C., "The Q(s, S) control policy for the joint replenishment problem extended to the case of correlation among item-demands" 118 (118): 292-297, 2009

      3 Atkins, D., "Periodic versus ‘can-order’ policies for coordinated multiitem inventory systems" 34 (34): 791-796, 1988

      4 Viswanathan, S., "Periodic review(s, S) policies for joint replenishment inventory systems" 43 (43): 1447-1454, 1997

      5 Viswanathan, S., "On optimal algorithms for the joint replenishment problem" 53 (53): 1286-1290, 2002

      6 Balintfy, J.L., "On a basic class of multiitem inventory problems" 10 (10): 287-297, 1964

      7 Goyal, S.K., "On A simple method of determining order quantities in joint replenishments under deterministic demand" 25 (25): 604-, 1979

      8 Khouja, M., "Joint replenishment problem under continuous unit cost change" 43 (43): 311-326, 2005

      9 Jeong, W.C., "Joint replenishment problem for a retailing system with stochastic demands" 1-8, 2010

      10 Fogarty, D., "Joint order release decisions under dependent demand" 28 (28): 55-61, 1987

      11 Silver, E.A., "Inventory Management and Production Planning and Scheduling" John Wiley 1998

      12 Eynan, A., "Effective and simple EOQ-like solutions for stochastic demand periodic review systems" 180 (180): 1135-1143, 2007

      13 Rosenblatt, M.J., "Economic production cycles with imperfect production processes" 18 (18): 48-55, 1986

      14 Goyal, S.K., "Determination of optimum pac kaging frequency of items jointly replenished" 21 (21): 436-443, 1974

      15 Federgruen, A., "Coordinated replenishments in a multi-item inventory system with compound Poisson demands" 30 (30): 344-357, 1984

      16 Johansen, S.G., "Can-order policy for the periodic-review joint replenishment problem" 54 (54): 283-290, 2003

      17 Melchiors, P., "Calculating can-order policies for the joint replenishment problem by the compensation approach" 141 (141): 587-595, 2002

      18 Kaspi, M, "An improvement of silver’s algorithm for the joint replenishment problem" 15 (15): 264-267, 1983

      19 Nielsen, C., "An analytical study of the Q(s, S) policy applied to the joint replenishment problem" 163 (163): 721-732, 2005

      20 Silver, E.A., "A simple method of determining order quantities in joint replenishments under deterministic demand" 22 (22): 1351-1361, 1976

      21 Khouja, M., "A review of the joint replenishment problem literature: 1989~2005" 186 (186): 1-16, 2008

      22 Fung, R.Y.K., "A new method for joint replenishment problems" 52 (52): 358-362, 2001

      23 Ohno, K., "A multi-item continuous review inventory system with compound Poisson demand" 53 (53): 147-165, 2001

      24 Silver, E.A., "A heuristic solution procedure for the multi-item, single-level, limited capacity, lot-sizing problem" 2 (2): 23-39, 1981

      25 Lee, F.C., "A global optimum search algorithm for the joint replenishment problem under power-of-two policy" 30 (30): 1319-1333, 2003

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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.66 0.66 0.69
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.69 0.66 1.157 0.2
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