Production Overrun Optimization Considering Supply Chain Network Reliability

被引:0
|
作者
Xue, Dawei [1 ]
Gu, Xi [2 ]
Gea, Hae Chang [2 ]
机构
[1] Rutgers State Univ, Sch Grad Studies, 25 Bishop Pl, New Brunswick, NJ 08901 USA
[2] Rutgers State Univ, Dept Mech & Aerosp Engn, 98 Brett Rd, Piscataway, NJ 08854 USA
关键词
Supply chain network reliability; Production overrun; Optimization; PRODUCTION SYSTEM; SUBJECT; REWORK;
D O I
10.1016/j.mfglet.2024.09.026
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Production overrun is a common practice in manufacturing to meet the demand by increasing the number of qualified products and compensating for manufacturing defects. While production overrun can improve Supply Chain Network Reliability (SCNR), it leads to higher material costs. In this paper, a model is proposed to evaluate SCNR by incorporating the reliabilities of inbound logistics, operations, and outbound logistics. Based on the proposed SCNR model, we study the optimal production overrun of each manufacturing site in a supply chain network and identify the production plan that satisfies the reliability requirement with minimum total production overrun penalty. By analyzing the monotonicity of the objective and constraint functions of the formulated problem, an algorithm based on linearization is developed to solve this optimization problem. Numerical examples across various scales are presented to illustrate the developed model and method. The impact of the penalty coefficient of the production overrun on the result is investigated. The results from the numerical examples provide managerial insights on allocating resources in the entire supply chain network and improving the supply chain reliability and competitiveness.
引用
收藏
页码:219 / 228
页数:10
相关论文
共 50 条
  • [41] A supply chain network design considering transportation cost discounts
    Tsao, Yu-Chung
    Lu, Jye-Chyi
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2012, 48 (02) : 401 - 414
  • [42] Bioethanol supply chain network design considering land characteristics
    Rahemi, Hasti
    Torabi, S. Ali
    Avami, Akram
    Jolai, Fariborz
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2020, 119
  • [43] Determination of Network Configuration Considering Inventory Cost in a Supply Chain
    Hernandez Gonzalez, N. M.
    Alvarez Socarras, A.
    Mata Perez, M.
    JOURNAL OF APPLIED RESEARCH AND TECHNOLOGY, 2014, 12 (04) : 674 - 683
  • [44] A Multiperiod Supply Chain Network Design Considering Carbon Emissions
    Peng, Yang
    Ablanedo-Rosas, Jose Humberto
    Fu, Peihua
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016
  • [45] Evaluating supply chain network resilience considering disruption propagation
    Habibi, Farhad
    Chakrabortty, Ripon Kumar
    Abbasi, Alireza
    COMPUTERS & INDUSTRIAL ENGINEERING, 2023, 183
  • [46] IBM Supply-Chain Network Optimization Workbench: An integrated optimization and simulation tool for supply chain design
    Ding, Hongwei
    Wang, Wei
    Dong, Jin
    Qiu, Mininin
    Ren, Changrui
    PROCEEDINGS OF THE 2007 WINTER SIMULATION CONFERENCE, VOLS 1-5, 2007, : 1919 - 1925
  • [47] Research on the application of vehicle network in optimization of automobile supply supply chain
    Jing, Xuelei
    Jia, Baoxian
    2017 3RD INTERNATIONAL CONFERENCE ON APPLIED MATERIALS AND MANUFACTURING TECHNOLOGY (ICAMMT 2017), 2017, 242
  • [48] Organizing for supply chain resilience: a high reliability network perspective
    Peters, Esmee
    Knight, Louise
    Boersma, Kees
    Uenk, Niels
    INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 2023, 43 (01) : 48 - 69
  • [49] Reliability supply chain network design model for perishable products
    Yu, Haisheng
    Zhao, Lindu
    Journal of Southeast University (English Edition), 2007, 23 (SUPPL.) : 94 - 98
  • [50] Triplex-network design for research of supply chain reliability
    Miao, Xin
    Xi, Bao
    Yu, Bo
    AFRICAN JOURNAL OF BUSINESS MANAGEMENT, 2010, 4 (01): : 31 - 38