IDEAS home Printed from https://ideas.repec.org/a/vrs/nybujo/v6y2018i1p1-20n1.html
   My bibliography  Save this article

A Case Study of Supply Chain Management in a Manufacturing Company in China

Author

Listed:
  • Luo Renfei

    (University of Macau, Macau)

  • Huang Jiedan

    (University of Macau, Macau)

  • Lee Jimmy

    (University of Macau, Macau)

  • Pun Philip

    (University of Macau, Macau)

Abstract

How to manage inventory is becoming an increasingly crucial issue for most manufacturing companies. R&D, the pseudonymous case study considered here, is a foreign direct investment (FDI) company engaged in producing electronic components. As the prices of raw materials and operation costs increased, R&D was challenged to maintain a smooth relationship among several factors: level of inventory, customer satisfaction and production efficiency. This paper first discusses the key factors that affect R&D’s inventory level. It then combines recent supply chain management theories and quantitative data into a framework for identifying how R&D might determine optimal ordering policies and strategies to reduce overall costs, while at the same time satisfying customers in terms of service.

Suggested Citation

  • Luo Renfei & Huang Jiedan & Lee Jimmy & Pun Philip, 2018. "A Case Study of Supply Chain Management in a Manufacturing Company in China," Nang Yan Business Journal, Sciendo, vol. 6(1), pages 1-20, June.
  • Handle: RePEc:vrs:nybujo:v:6:y:2018:i:1:p:1-20:n:1
    DOI: 10.2478/nybj-2018-0001
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/nybj-2018-0001
    Download Restriction: no

    File URL: https://libkey.io/10.2478/nybj-2018-0001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kouki, Chaaben & Babai, M. Zied & Jemai, Zied & Minner, Stefan, 2016. "A coordinated multi-item inventory system for perishables with random lifetime," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 226-237.
    2. Hendry, L. C. & Kingsman, B. G., 1989. "Production planning systems and their applicability to make-to-order companies," European Journal of Operational Research, Elsevier, vol. 40(1), pages 1-15, May.
    3. Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
    4. Gérard P. Cachon & Marshall Fisher, 2000. "Supply Chain Inventory Management and the Value of Shared Information," Management Science, INFORMS, vol. 46(8), pages 1032-1048, August.
    5. Jack F. Williams, 1981. "Heuristic Techniques for Simultaneous Scheduling of Production and Distribution in Multi-Echelon Structures: Theory and Empirical Comparisons," Management Science, INFORMS, vol. 27(3), pages 336-352, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fleisch, Elgar & Tellkamp, Christian, 2005. "Inventory inaccuracy and supply chain performance: a simulation study of a retail supply chain," International Journal of Production Economics, Elsevier, vol. 95(3), pages 373-385, March.
    2. Demeter, Krisztina & Golini, Ruggero, 2014. "Inventory configurations and drivers: An international study of assembling industries," International Journal of Production Economics, Elsevier, vol. 157(C), pages 62-73.
    3. Hoppenheit, Steffi & Günthner, Willibald A., 2015. "Identifying Main Drivers on Inventory using Regression Analysis," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Blecker, Thorsten & Kersten, Wolfgang & Ringle, Christian M. (ed.), Operational Excellence in Logistics and Supply Chains: Optimization Methods, Data-driven Approaches and Security Insights. Proceedings of the Hamburg , volume 22, pages 141-169, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    4. Cao, Mei & Zhang, Qingyu, 2010. "Supply chain collaborative advantage: A firm's perspective," International Journal of Production Economics, Elsevier, vol. 128(1), pages 358-367, November.
    5. Gu, Qiannong & Jitpaipoon, Thawatchai & Yang, Jie, 2017. "The impact of information integration on financial performance: A knowledge-based view," International Journal of Production Economics, Elsevier, vol. 191(C), pages 221-232.
    6. Hsin Hsin Chang, 2009. "An empirical study of evaluating supply chain management integration using the balanced scorecard in Taiwan," The Service Industries Journal, Taylor & Francis Journals, vol. 29(2), pages 185-202, February.
    7. Tsai, Chih-Yang, 2011. "On delineating supply chain cash flow under collectionrisk," International Journal of Production Economics, Elsevier, vol. 129(1), pages 186-194, January.
    8. Soysal, Mehmet & Bloemhof-Ruwaard, Jacqueline.M. & Meuwissen, Miranda P.M. & van der Vorst, Jack G.A.J., 2012. "A Review on Quantitative Models for Sustainable Food Logistics Management," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 3(2), pages 1-20, December.
    9. Wen-Lung Shiau & Yogesh K. Dwivedi & Chia-Han Tsai, 2015. "Supply chain management: exploring the intellectual structure," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 215-230, October.
    10. Xiaoyi Liu & Jonghyun Lee & Peter Kitanidis & Jack Parker & Ungtae Kim, 2012. "Value of Information as a Context-Specific Measure of Uncertainty in Groundwater Remediation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1513-1535, April.
    11. Boissiere, J. & Frein, Y. & Rapine, C., 2008. "Optimal stationary policies in a 3-stage serial production-distribution logistic chain facing constant and continuous demand," European Journal of Operational Research, Elsevier, vol. 186(2), pages 608-619, April.
    12. Corti, Donatella & Pozzetti, Alessandro & Zorzini, Marta, 2006. "A capacity-driven approach to establish reliable due dates in a MTO environment," International Journal of Production Economics, Elsevier, vol. 104(2), pages 536-554, December.
    13. Ming Yuan & Jingya Dang & Yujie Hong & Di Gao & Ziyi Xu, 2024. "The Impact of Supply Chain Network Centrality on Sustainable Mergers and Acquisitions: Evidence from China," Sustainability, MDPI, vol. 16(19), pages 1-24, September.
    14. McKelvey, Bill & Wycisk, Christine & Hülsmann, Michael, 2009. "Designing an electronic auction market for complex 'smart parts' logistics: Options based on LeBaron's computational stock market," International Journal of Production Economics, Elsevier, vol. 120(2), pages 476-494, August.
    15. Kai-Leung Yung & Jiafu Tang & Andrew W. H. Ip & Dingwei Wang, 2006. "Heuristics for Joint Decisions in Production, Transportation, and Order Quantity," Transportation Science, INFORMS, vol. 40(1), pages 99-116, February.
    16. Idris, Nurjihan & Arshad, Fatimah Mohamed & Radam, Alias & Ali, Noor Azman, 2009. "Construct validation of supply chain management in cooperative," MPRA Paper 19483, University Library of Munich, Germany.
    17. Sohn, So Young & Lim, Michael, 2008. "The effect of forecasting and information sharing in SCM for multi-generation products," European Journal of Operational Research, Elsevier, vol. 186(1), pages 276-287, April.
    18. Ogulin, R. & Selen, W. & Ashayeri, J., 2010. "Determinants of Informal Coordination in Networked Supply Chains," Discussion Paper 2010-133, Tilburg University, Center for Economic Research.
    19. Jessica L. Darby & David J. Ketchen & Brent D. Williams & Travis Tokar, 2020. "The Implications of Firm‐Specific Policy Risk, Policy Uncertainty, and Industry Factors for Inventory: A Resource Dependence Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(4), pages 3-24, October.
    20. Rich, Karl M. & Ross, R. Brent & Baker, A. Derek & Negassa, Asfaw, 2011. "Quantifying value chain analysis in the context of livestock systems in developing countries," Food Policy, Elsevier, vol. 36(2), pages 214-222, April.

    More about this item

    Keywords

    Inventory management; safety stock; case study; VMI;
    All these keywords.

    JEL classification:

    • L84 - Industrial Organization - - Industry Studies: Services - - - Personal, Professional, and Business Services
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:nybujo:v:6:y:2018:i:1:p:1-20:n:1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.