Make or Buy Decision Model with Multi-Stage Manufacturing Process to Minimize Manufacturing Cost and Quality Loss

被引:0
|
作者
Rosyidi, Cucuk Nur [1 ]
Pratama, Mega Aria [1 ]
Jauhari, Wakhid Ahmad [1 ]
Suhardi, Bambang [1 ]
Hamada, Kunihiro [2 ]
机构
[1] Sebelas Maret Univ, Fac Engn, Dept Ind Engn, Surakarta, Indonesia
[2] Hiroshima Univ, Grad Sch Engn, Dept Transportat & Environm Syst, Hiroshima, Japan
关键词
make or buy analysis; manufacturing cost; optimization; quality loss; tolerance;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Manufacturing costs and tolerance will affect the price and the quality of a product from every manufacturer company. Companies must produce high-quality products with low manufacturing costs in order to keep their products competitive in the market. However, it is difficult to produce a high-quality product with a low manufacturing cost. Companies have difficulties in determining the components to be produced using their own manufacturing facilities (make) or outsourced to their suppliers (buy). Hence, a make or buy analysis is needed to minimize the manufacturing costs and quality loss and to determine the optimum alternative regarding make or buy decisions. This paper discusses an optimization model of a make or buy decision for a manufacturing company with multi-stage manufacturing process in order to minimize the manufacturing costs and the quality loss in terms of manufacturer and customer quality loss. A numerical example is provided to show the application of the model using a simple assembly product consisting of three components. There are three machines with two stages that can be used to produce the components and two alternatives of suppliers to fulfill the order. Each machine and supplier have different characteristics in terms of manufacturing costs and its tolerance.
引用
收藏
页码:189 / 193
页数:5
相关论文
共 50 条
  • [1] Make or Buy Decision Model with Multi-Stage Manufacturing Process and Supplier Imperfect Quality
    Pratama, Mega Aria
    Rosyidi, Cucuk Nur
    3RD INTERNATIONAL MATERIALS, INDUSTRIAL AND MANUFACTURING ENGINEERING CONFERENCE (MIMEC2017), 2017, 1902
  • [2] Make or Buy Analysis Model in a Multi-Stage Manufacturing Processes
    Rosyidi, C. N.
    Pratama, M. A.
    Jauhari, W. A.
    Suhardi, B.
    Hamada, K.
    2016 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2016, : 971 - 976
  • [3] Make or Buy Analysis Model Based on Tolerance Design to Minimize Manufacturing Cost and Quality Loss
    Rosyidi, Cucuk Nur
    Akbar, Reza Rizkichani
    Jauhari, Wakhid Ahmad
    MAKARA JOURNAL OF TECHNOLOGY, 2014, 18 (02): : 86 - 90
  • [4] Make or buy analysis model based on tolerance allocation to minimize manufacturing cost and fuzzy quality loss
    Rosyidi, C. N.
    Puspitoingrum, W.
    Jauhari, W. A.
    Suhardi, B.
    Hamada, K.
    2ND INTERNATIONAL MANUFACTURING ENGINEERING CONFERENCE AND 3RD ASIA-PACIFIC CONFERENCE ON MANUFACTURING SYSTEMS (IMEC-APCOMS 2015), 2016, 114
  • [5] Make-or-buy strategies in a multi-stage manufacturing process and the role of learning effect in relocation decisions
    Longauer, Dora
    Hauck, Zsuzsanna
    Vasvari, Tamas
    COMPUTERS & INDUSTRIAL ENGINEERING, 2023, 180
  • [6] Quality costs in multi-stage manufacturing systems
    Chang, SJ
    Hyun, PY
    Park, EH
    COMPUTERS & INDUSTRIAL ENGINEERING, 1996, 31 (1-2) : 115 - 118
  • [7] A PROCESS MODEL OF MAKE-VS-BUY DECISION-MAKING - THE CASE OF MANUFACTURING SOFTWARE
    BUCHOWICZ, BS
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 1991, 38 (01) : 24 - 32
  • [8] Multi-stage Manufacturing Quality Modeling Based on Process Factors Statistics and Quantization
    Li Y.
    Zhang F.
    Yan Y.
    Zhang T.
    Zhou J.
    Guo F.
    Binggong Xuebao/Acta Armamentarii, 2020, 41 (07): : 1408 - 1416
  • [9] Multi-Stage Process Diagnosis Networks in Semiconductor Manufacturing
    Choi, Jongwon
    Kim, Seoung Bum
    IEEE ACCESS, 2024, 12 : 39495 - 39504
  • [10] Research on Multi-stage manufacturing process reliability improvement
    Wu, Xiaonan
    Dai, Wei
    Zhao, Yu
    Kuang, Fen
    Luo, Guixiu
    PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2015, : 1118 - 1123