IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v59y2011i4p1033-1039.html
   My bibliography  Save this article

TECHNICAL NOTE---Procurement Strategies with Unreliable Suppliers

Author

Listed:
  • Awi Federgruen

    (Graduate School of Business, Columbia University, New York, New York 10027)

  • Nan Yang

    (Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130)

Abstract

We propose and analyze a general periodic-review model in which the firm has access to a set of potential suppliers, each with specific yield and price characteristics. Assuming that unsatisfied demand is backlogged, the firm incurs three types of costs: (i) procurement costs, (ii) inventory-carrying costs for units carried over from one period to the next, and (iii) backlogging costs. A procurement strategy requires the specification, in each period, of (i) the set of suppliers to be retained, (ii) their respective shares in this period's replenishments, as well as (iii) the traditional aggregate order placed (among the various suppliers). We show how the optimal procurement strategy can be obtained with an efficient algorithm. A base-stock policy is no longer optimal, but in each period there exists a maximum inventory level, such that orders are placed if and only if the starting inventory is below this threshold. In each period it is optimal to retain a given number of suppliers that are cheapest in terms of that period's effective cost rates, i.e., the expected cost per usable unit. The optimal number of suppliers to be retained in a given period depends on all current and future parameters and distributions, but this dependence can be aggregated into a single so-called benchmark cost measure. Under Normal yield and demand distributions, the suppliers' market shares are determined by a single aggregate score, itself the product of a simple reliability score and a cost score.

Suggested Citation

  • Awi Federgruen & Nan Yang, 2011. "TECHNICAL NOTE---Procurement Strategies with Unreliable Suppliers," Operations Research, INFORMS, vol. 59(4), pages 1033-1039, August.
  • Handle: RePEc:inm:oropre:v:59:y:2011:i:4:p:1033-1039
    DOI: 10.1287/opre.1110.0935
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.1110.0935
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.1110.0935?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. Venu Nagali & Jerry Hwang & David Sanghera & Matt Gaskins & Mark Pridgen & Tim Thurston & Patty Mackenroth & Dwight Branvold & Patrick Scholler & Greg Shoemaker, 2008. "Procurement Risk Management (PRM) at Hewlett-Packard Company," Interfaces, INFORMS, vol. 38(1), pages 51-60, February.
    2. Narendra Agrawal & Steven Nahmias, 1997. "Rationalization Of The Supplier Base In The Presence Of Yield Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 6(3), pages 291-308, September.
    3. Volodymyr Babich & Apostolos N. Burnetas & Peter H. Ritchken, 2007. "Competition and Diversification Effects in Supply Chains with Supplier Default Risk," Manufacturing & Service Operations Management, INFORMS, vol. 9(2), pages 123-146, October.
    4. Awi Federgruen & Nan Yang, 2009. "Optimal Supply Diversification Under General Supply Risks," Operations Research, INFORMS, vol. 57(6), pages 1451-1468, December.
    5. Ravi Anupindi & Ram Akella, 1993. "Diversification Under Supply Uncertainty," Management Science, INFORMS, vol. 39(8), pages 944-963, August.
    6. Abraham Grosfeld-Nir & Yigal Gerchak, 2004. "Multiple Lotsizing in Production to Order with Random Yields: Review of Recent Advances," Annals of Operations Research, Springer, vol. 126(1), pages 43-69, February.
    7. Candace Arai Yano & Hau L. Lee, 1995. "Lot Sizing with Random Yields: A Review," Operations Research, INFORMS, vol. 43(2), pages 311-334, April.
    8. Kaijie Zhu & Ulrich W. Thonemann, 2009. "Coordination of pricing and inventory control across products," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(2), pages 175-190, March.
    9. Mordechai Henig & Yigal Gerchak, 1990. "The Structure of Periodic Review Policies in the Presence of Random Yield," Operations Research, INFORMS, vol. 38(4), pages 634-643, August.
    10. Maqbool Dada & Nicholas C. Petruzzi & Leroy B. Schwarz, 2007. "A Newsvendor's Procurement Problem when Suppliers Are Unreliable," Manufacturing & Service Operations Management, INFORMS, vol. 9(1), pages 9-32, August.
    11. Katia C. Frank & Rachel Q. Zhang & Izak Duenyas, 2003. "Optimal Policies for Inventory Systems with Priority Demand Classes," Operations Research, INFORMS, vol. 51(6), pages 993-1002, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qi Feng & J. George Shanthikumar, 2018. "Supply and Demand Functions in Inventory Models," Operations Research, INFORMS, vol. 66(1), pages 77-91, 1-2.
    2. Xiuli Chao & Xiting Gong & Shaohui Zheng, 2016. "Optimal pricing and inventory policies with reliable and random-yield suppliers: characterization and comparison," Annals of Operations Research, Springer, vol. 241(1), pages 35-51, June.
    3. Awi Federgruen & Nan Yang, 2014. "Infinite Horizon Strategies for Replenishment Systems with a General Pool of Suppliers," Operations Research, INFORMS, vol. 62(1), pages 141-159, February.
    4. Xiao-Ying Bao & Lei Zhang, 2018. "Green Procurement Relationships Development under Carbon Emissions Regulations: A Bi-Level Programming Approach," IJERPH, MDPI, vol. 15(10), pages 1-14, October.
    5. Weidong Chen & Cong Shi & Izak Duenyas, 2020. "Optimal Learning Algorithms for Stochastic Inventory Systems with Random Capacities," Production and Operations Management, Production and Operations Management Society, vol. 29(7), pages 1624-1649, July.
    6. Mohammadivojdan, Roshanak & Merzifonluoglu, Yasemin & Geunes, Joseph, 2022. "Procurement portfolio planning for a newsvendor with supplier delivery uncertainty," European Journal of Operational Research, Elsevier, vol. 297(3), pages 917-929.
    7. Pan, Wenting & So, Kut C. & Xiao, Guang, 2022. "Benefits of backup sourcing for components in assembly systems under supply uncertainty," European Journal of Operational Research, Elsevier, vol. 302(1), pages 158-171.
    8. Xiaoming Yan & Yong Wang & Zhaofu Hong, 2016. "Comparison of Bertrand and Cournot competitions under random yield," International Journal of Production Research, Taylor & Francis Journals, vol. 54(11), pages 3256-3276, June.
    9. Xin Chen & Xiangyu Gao, 2019. "Technical Note—Stochastic Optimization with Decisions Truncated by Positively Dependent Random Variables," Operations Research, INFORMS, vol. 67(5), pages 1321-1327, September.
    10. Panos Kouvelis & Guang Xiao & Nan Yang, 2021. "Role of Risk Aversion in Price Postponement Under Supply Random Yield," Management Science, INFORMS, vol. 67(8), pages 4826-4844, August.
    11. Wen Chen & Qi Feng & Sridhar Seshadri, 2013. "Sourcing from suppliers with random yield for price-dependent demand," Annals of Operations Research, Springer, vol. 208(1), pages 557-579, September.
    12. Wen Chen & Adam J. Fleischhacker & Michael N. Katehakis, 2015. "Dynamic pricing in a dual‐market environment," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(7), pages 531-549, October.
    13. Saurabh Bansal & Mahesh Nagarajan, 2017. "Product Portfolio Management with Production Flexibility in Agribusiness," Operations Research, INFORMS, vol. 65(4), pages 914-930, August.
    14. Yuan, Xiaoyong & Bi, Gongbing & Fei, Yalei & Liu, Lindong, 2021. "Supply chain with random yield and financing," Omega, Elsevier, vol. 102(C).
    15. Chengxiao Feng & Zongjun Wang & Zhenyu Jiang, 2017. "Retailer’s Procurement Strategy under Endogenous Supply Stability," Sustainability, MDPI, vol. 9(12), pages 1-18, December.
    16. Kyungchul Park & Kyungsik Lee, 2016. "Distribution-robust single-period inventory control problem with multiple unreliable suppliers," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(4), pages 949-966, October.
    17. Weizhe Yang & Yaozhong Wu & Qinglong Gou & Wen Zhang, 2023. "Co‐opetition strategies in supply chains with strategic customers," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 319-334, January.
    18. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov & Marina Ivanova, 2017. "Literature review on disruption recovery in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 55(20), pages 6158-6174, October.
    19. Connelly, Brian L. & Shi, Wei & Cheng, Xin & Yin, Cheng, 2021. "Short Sellers: A screening theory perspective on B2B relationships," Journal of Business Research, Elsevier, vol. 134(C), pages 393-404.
    20. Luo, Sha & Ahiska, S. Sebnem & Fang, Shu-Cherng & King, Russell E. & Warsing, Donald P. & Wu, Shuohao, 2021. "An analysis of optimal ordering policies for a two-supplier system with disruption risk," Omega, Elsevier, vol. 105(C).
    21. Lingxiu Dong & Guang Xiao & Nan Yang, 2023. "Supply diversification under random yield: The impact of price postponement," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1112-1132, April.
    22. Qi Feng & J. George Shanthikumar, 2022. "Applications of Stochastic Orders and Stochastic Functions in Inventory and Pricing Problems," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1433-1453, April.

    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. Seung Hwan Jung, 2020. "Offshore versus Onshore Sourcing: Quick Response, Random Yield, and Competition," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 750-766, March.
    2. Yuan, Zhennan & Chen, Frank Y. & Yan, Xiaoming & Yu, Yugang, 2020. "Operational implications of yield uncertainty in mergers and acquisitions," International Journal of Production Economics, Elsevier, vol. 219(C), pages 248-258.
    3. Mohammadivojdan, Roshanak & Merzifonluoglu, Yasemin & Geunes, Joseph, 2022. "Procurement portfolio planning for a newsvendor with supplier delivery uncertainty," European Journal of Operational Research, Elsevier, vol. 297(3), pages 917-929.
    4. Xu, He & Zuo, Xiaolu & Liu, Zhixue, 2015. "Configuration of flexibility strategies under supply uncertainty," Omega, Elsevier, vol. 51(C), pages 71-82.
    5. Divya Tiwari & Rahul Patil & Janat Shah, 2015. "Sequential unreliable newsboy ordering policies," Annals of Operations Research, Springer, vol. 233(1), pages 449-463, October.
    6. Xue, Weili & Choi, Tsan-Ming & Ma, Lijun, 2016. "Diversification strategy with random yield suppliers for a mean–variance risk-sensitive manufacturer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 90-107.
    7. Wen Chen & Burcu Tan, 2022. "Dynamic procurement from multiple suppliers with random capacities," Annals of Operations Research, Springer, vol. 317(2), pages 509-536, October.
    8. Awi Federgruen & Nan Yang, 2009. "Optimal Supply Diversification Under General Supply Risks," Operations Research, INFORMS, vol. 57(6), pages 1451-1468, December.
    9. Pan, Wenting & So, Kut C. & Xiao, Guang, 2022. "Benefits of backup sourcing for components in assembly systems under supply uncertainty," European Journal of Operational Research, Elsevier, vol. 302(1), pages 158-171.
    10. Long He & Ying Rong & Zuo‐Jun Max Shen, 2020. "Product Sourcing and Distribution Strategies under Supply Disruption and Recall Risks," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 9-23, January.
    11. Cheong, Taesu & Song, Sang Hwa, 2013. "The value of information on supply risk under random yields," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 27-38.
    12. Gel, Esma S. & Salman, F. Sibel, 2022. "Dynamic ordering decisions with approximate learning of supply yield uncertainty," International Journal of Production Economics, Elsevier, vol. 243(C).
    13. Süleyman Demirel & Roman Kapuscinski & Man Yu, 2018. "Strategic Behavior of Suppliers in the Face of Production Disruptions," Management Science, INFORMS, vol. 64(2), pages 533-551, February.
    14. Panos Kouvelis & Guang Xiao & Nan Yang, 2021. "Role of Risk Aversion in Price Postponement Under Supply Random Yield," Management Science, INFORMS, vol. 67(8), pages 4826-4844, August.
    15. Brian Tomlin, 2009. "Impact of Supply Learning When Suppliers Are Unreliable," Manufacturing & Service Operations Management, INFORMS, vol. 11(2), pages 192-209, August.
    16. Qi Feng & J. George Shanthikumar, 2018. "Supply and Demand Functions in Inventory Models," Operations Research, INFORMS, vol. 66(1), pages 77-91, 1-2.
    17. Huang, He & Xu, Hongyan, 2015. "Dual sourcing and backup production: Coexistence versus exclusivity," Omega, Elsevier, vol. 57(PA), pages 22-33.
    18. Wang, Yimin & Xiao, Yixuan & Yang, Nan, 2014. "Improving reliability of a shared supplier with competition and spillovers," European Journal of Operational Research, Elsevier, vol. 236(2), pages 499-510.
    19. Peng, Yang & Yan, Xiaoming & Jiang, Yujie & Ji, Min & Cheng, T.C.E., 2021. "Competition and coordination for supply chain networks with random yields," International Journal of Production Economics, Elsevier, vol. 239(C).
    20. Shanshan Hu & Gilvan C. Souza & Mark E. Ferguson & Wenbin Wang, 2015. "Capacity Investment in Renewable Energy Technology with Supply Intermittency: Data Granularity Matters!," Manufacturing & Service Operations Management, INFORMS, vol. 17(4), pages 480-494, October.

    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:inm:oropre:v:59:y:2011:i:4:p:1033-1039. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.