A study of an enhanced simulation model for TOC supply chain replenishment system under capacity constraint

被引:28
|
作者
Wu, Horng-Huei [2 ]
Chen, Ching-Piao [3 ]
Tsai, Chih-Hung [1 ]
Tsai, Tai-Ping [2 ]
机构
[1] Yuanpei Univ, Dept Informat Management, Hsinchu, Taiwan
[2] Chung Hua Univ, Dept Ind Engn & Syst Management, Hsinchu 300, Taiwan
[3] Ta Hwa Inst Technol, Dept Ind Engn & Management, Hsinchu 30050, Taiwan
关键词
Supply chain management; Inventory replenishment; Theory of constraints (TOC); TOC supply chain replenishment system;
D O I
10.1016/j.eswa.2010.02.074
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Theory of Constraints-supply chain replenishment system (TOC-SCRS) is a replenishment method of the TOC supply chain solution and now being implemented by a growing number of companies. The performance reported by the implemented companies includes reduction of inventory level, lead-time and transportation costs and increasing forecast accuracy and customer service levels. However, when the TOC-SCRS is applied in a plant or a central warehouse, the determination of reliable replenishment time will encounter a conflict with the replenishment quantity, especially under the constraint of limited factory capacity. An enhanced simulation replenishment model for TOC-SCRS under capacity constraint is then developed. A numeric example and a sensitivity analysis are utilized to evaluate the application of the proposed model. Employing this proposed methodology will facilitate a plant or a central warehouse to successfully implement an effective TOC-SCRS. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:6435 / 6440
页数:6
相关论文
共 50 条
  • [41] Simulation model of a vertically integrated supply chain: A case study
    Byrne, P. J.
    Heavey, Cathal
    [J]. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, 2006, 13 (02): : 126 - 135
  • [42] A Node-based Mathematical Model towards the Location Routing Problem with Intermediate Replenishment Facilities under Capacity Constraint
    Setak, M.
    Bolhassani, Jalili
    Karimi, H.
    [J]. INTERNATIONAL JOURNAL OF ENGINEERING, 2014, 27 (06): : 911 - 920
  • [43] Optimal pricing and replenishment policy for perishable food supply chain under inflation
    Huang, Xiangmeng
    Yang, Shuai
    Wang, Zhanyu
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 158
  • [44] MODEL FOR SIMULATION OF SUPPLY CHAIN RESILIENCE
    Lenort, Radim
    Grakova, Ekaterina
    Karkula, Marek
    Wicher, Pavel
    Stas, David
    [J]. METAL 2014: 23RD INTERNATIONAL CONFERENCE ON METALLURGY AND MATERIALS, 2014, : 1803 - 1809
  • [45] An industrial supply chain simulation model
    Byrne, PJ
    Heavey, C
    [J]. 2ND INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE 2004, 2004, : 311 - 318
  • [46] A strategic supply chain simulation model
    Ritchie-Dunham, J
    Morrice, DJ
    Scott, J
    Anderson, EG
    [J]. PROCEEDINGS OF THE 2000 WINTER SIMULATION CONFERENCE, VOLS 1 AND 2, 2000, : 1260 - 1264
  • [47] A multi-period vaccines supply chain network design with capacity expansion and different replenishment cycles under uncertain demand
    Ariningsih, Paulina Kus
    Irawan, Chandra Ade
    Paulraj, Antony
    Dai, Jing
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2024, 167
  • [48] Decision making of product quality and carbon emission reduction in footwear supply chain under production capacity constraint
    Tan, Jian
    Jiang, Guoqiang
    Wang, Zuogong
    [J]. Leather and Footwear Journal, 2019, 19 (03): : 203 - 210
  • [49] Study on application of ERP system under the environment of Supply Chain
    Yuan, Aqian
    Jiang, Xiushan
    [J]. MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 6727 - 6730
  • [50] Multi-product batch replenishment strategies under stochastic demand and a joint capacity constraint
    Minner, S
    Silver, EA
    [J]. IIE TRANSACTIONS, 2005, 37 (05) : 469 - 479