IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v204y2018icp135-147.html
   My bibliography  Save this article

An inventory replenishment system with two inventory-based substitutable products

Author

Listed:
  • Pan, Qin-hua
  • He, Xiuli
  • Skouri, Konstantina
  • Chen, Sheng-Chih
  • Teng, Jinn-Tsair

Abstract

In a supermarket, two mutually substitutable products with the same price are usually arranged one next to the other such as Coke and Pepsi colas, Campbell and Progresso soups, Breyer and Friendly ice creams, etc. It is evident that a large pile of products (e.g., colas, soups, baked goods, fruits, vegetables, etc.) displayed in a supermarket often induces customers to buy more because of its visibility, variety, and freshness. Hence, high inventory of one product provides consumers various choices, and makes this product preferable. In short, the demand for one product is positively influenced by its displayed stock level while negatively impacted by the displayed stock level of the other product. With the demand being stock-dependent, it may be profitable to maintain high stock level at the end of the replenishment cycle. The common inventory assumption of zero-ending inventory is extended to non-negative ending inventory. Hence, we first propose an inventory model with two inventory-based substitutable products to determine the optimal replenishment time and the ending inventory levels for both products in order to maximize the total annual profit. We then demonstrate that the total annual profit is strictly pseudo-concave with respect to the decision variables, which reduces the search for the global maximum to a local optimum. We also use simple economic interpretations to explain theoretical results. Furthermore, the theoretical results reveal that the optimal replenishment time is whenever one of two substitutable products is sold-out. Finally, numerical examples and sensitivity analyses are presented to highlight several managerial implications.

Suggested Citation

  • Pan, Qin-hua & He, Xiuli & Skouri, Konstantina & Chen, Sheng-Chih & Teng, Jinn-Tsair, 2018. "An inventory replenishment system with two inventory-based substitutable products," International Journal of Production Economics, Elsevier, vol. 204(C), pages 135-147.
  • Handle: RePEc:eee:proeco:v:204:y:2018:i:c:p:135-147
    DOI: 10.1016/j.ijpe.2018.08.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527318303086
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2018.08.002?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yang, Hui-Ling & Teng, Jinn-Tsair & Chern, Maw-Sheng, 2010. "An inventory model under inflation for deteriorating items with stock-dependent consumption rate and partial backlogging shortages," International Journal of Production Economics, Elsevier, vol. 123(1), pages 8-19, January.
    2. Stavrulaki, Euthemia, 2011. "Inventory decisions for substitutable products with stock-dependent demand," International Journal of Production Economics, Elsevier, vol. 129(1), pages 65-78, January.
    3. Wu, Jiang & Skouri, Konstantina & Teng, Jinn-Tsair & Ouyang, Liang-Yuh, 2014. "A note on “optimal replenishment policies for non-instantaneous deteriorating items with price and stock sensitive demand under permissible delay in payment”," International Journal of Production Economics, Elsevier, vol. 155(C), pages 324-329.
    4. Serguei Netessine & Nils Rudi, 2003. "Centralized and Competitive Inventory Models with Demand Substitution," Operations Research, INFORMS, vol. 51(2), pages 329-335, April.
    5. Alberto Cambini & Laura Martein, 2009. "Generalized Convexity and Optimization," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-540-70876-6, October.
    6. Hsieh, Chung-Chi & Wu, Cheng-Han, 2009. "Coordinated decisions for substitutable products in a common retailer supply chain," European Journal of Operational Research, Elsevier, vol. 196(1), pages 273-288, July.
    7. Rajaram, Kumar & Tang, Christopher S., 2001. "The impact of product substitution on retail merchandising," European Journal of Operational Research, Elsevier, vol. 135(3), pages 582-601, December.
    8. Ricardo Ernst & Panagiotis Kouvelis, 1999. "The Effects of Selling Packaged Goods on Inventory Decisions," Management Science, INFORMS, vol. 45(8), pages 1142-1155, August.
    9. Teng, Jinn-Tsair & Krommyda, Iris-Pandora & Skouri, Konstantina & Lou, Kuo-Ren, 2011. "A comprehensive extension of optimal ordering policy for stock-dependent demand under progressive payment scheme," European Journal of Operational Research, Elsevier, vol. 215(1), pages 97-104, November.
    10. Mahmut Parlar, 1988. "Game theoretic analysis of the substitutable product inventory problem with random demands," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(3), pages 397-409, June.
    11. Mahesh Nagarajan & S. Rajagopalan, 2008. "Inventory Models for Substitutable Products: Optimal Policies and Heuristics," Management Science, INFORMS, vol. 54(8), pages 1453-1466, August.
    12. Chang, Chun-Tao & Teng, Jinn-Tsair & Goyal, Suresh Kumar, 2010. "Optimal replenishment policies for non-instantaneous deteriorating items with stock-dependent demand," International Journal of Production Economics, Elsevier, vol. 123(1), pages 62-68, January.
    13. Shin, Hojung & Park, Soohoon & Lee, Euncheol & Benton, W.C., 2015. "A classification of the literature on the planning of substitutable products," European Journal of Operational Research, Elsevier, vol. 246(3), pages 686-699.
    14. Goyal, Suresh Kumar & Chang, Chun-Tao, 2009. "Optimal ordering and transfer policy for an inventory with stock dependent demand," European Journal of Operational Research, Elsevier, vol. 196(1), pages 177-185, July.
    15. Urban, Timothy L., 2005. "Inventory models with inventory-level-dependent demand: A comprehensive review and unifying theory," European Journal of Operational Research, Elsevier, vol. 162(3), pages 792-804, May.
    16. Sheng-Chih Chen & Jie Min & Jinn-Tsair Teng & Fuan Li, 2016. "Inventory and shelf-space optimization for fresh produce with expiration date under freshness-and-stock-dependent demand rate," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(6), pages 884-896, June.
    17. Feng, Lin & Chan, Ya-Lan & Cárdenas-Barrón, Leopoldo Eduardo, 2017. "Pricing and lot-sizing polices for perishable goods when the demand depends on selling price, displayed stocks, and expiration date," International Journal of Production Economics, Elsevier, vol. 185(C), pages 11-20.
    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. Feng, Lin & Wang, Wan-Chih & Teng, Jinn-Tsair & Cárdenas-Barrón, Leopoldo Eduardo, 2022. "Pricing and lot-sizing decision for fresh goods when demand depends on unit price, displaying stocks and product age under generalized payments," European Journal of Operational Research, Elsevier, vol. 296(3), pages 940-952.
    2. P. Majumder & U. K. Bera & M. Maiti, 2020. "An EPQ model of substitutable products under trade credit policy with stock dependent and random substitution," OPSEARCH, Springer;Operational Research Society of India, vol. 57(4), pages 1205-1243, December.
    3. Chai, Xudong & Jiang, Tao & Chang, Baoxian & Liu, Liwei, 2021. "On a multiple priorities matching system with heterogeneous delay sensitive individuals," Applied Mathematics and Computation, Elsevier, vol. 395(C).
    4. Sun, Zhongmiao & Xu, Qi & Liu, Jinrong, 2021. "Pricing and replenishment decisions for seasonal and nonseasonal products in a shared supply chain," International Journal of Production Economics, Elsevier, vol. 233(C).

    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. Shin, Hojung & Park, Soohoon & Lee, Euncheol & Benton, W.C., 2015. "A classification of the literature on the planning of substitutable products," European Journal of Operational Research, Elsevier, vol. 246(3), pages 686-699.
    2. Vashkar Ghosh & Anand Paul & Lingjiong Zhu, 2022. "Stocking Under Random Demand and Product Variety: Exact Models and Heuristics," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1006-1032, March.
    3. Saha, S. & Goyal, S.K., 2015. "Supply chain coordination contracts with inventory level and retail price dependent demand," International Journal of Production Economics, Elsevier, vol. 161(C), pages 140-152.
    4. Lei Lei & Jun Ru & Ruixia Shi & Jun Zhang, 2022. "A Two‐Product Newsvendor Problem with Partial Demand Substitution," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1157-1173, March.
    5. Transchel, Sandra & Buisman, Marjolein E. & Haijema, Rene, 2022. "Joint assortment and inventory optimization for vertically differentiated products under consumer-driven substitution," European Journal of Operational Research, Elsevier, vol. 301(1), pages 163-179.
    6. Zhang, Jie & Xie, Weijun & Sarin, Subhash C., 2021. "Robust multi-product newsvendor model with uncertain demand and substitution," European Journal of Operational Research, Elsevier, vol. 293(1), pages 190-202.
    7. Mou, Shandong & Robb, David J. & DeHoratius, Nicole, 2018. "Retail store operations: Literature review and research directions," European Journal of Operational Research, Elsevier, vol. 265(2), pages 399-422.
    8. P. Majumder & U. K. Bera & M. Maiti, 2020. "An EPQ model of substitutable products under trade credit policy with stock dependent and random substitution," OPSEARCH, Springer;Operational Research Society of India, vol. 57(4), pages 1205-1243, December.
    9. Zhang, Ren-Qian & Zhang, Lan-Kang & Zhou, Wen-Hui & Saigal, Romesh & Wang, Hui-Wen, 2014. "The multi-item newsvendor model with cross-selling and the solution when demand is jointly normally distributed," European Journal of Operational Research, Elsevier, vol. 236(1), pages 147-159.
    10. Transchel, Sandra, 2017. "Inventory management under price-based and stockout-based substitution," European Journal of Operational Research, Elsevier, vol. 262(3), pages 996-1008.
    11. Li Chen & Erica L. Plambeck, 2008. "Dynamic Inventory Management with Learning About the Demand Distribution and Substitution Probability," Manufacturing & Service Operations Management, INFORMS, vol. 10(2), pages 236-256, May.
    12. Yalçın Akçay & Yunke Li & Harihara Prasad Natarajan, 2020. "Category Inventory Planning With Service Level Requirements and Dynamic Substitutions," Production and Operations Management, Production and Operations Management Society, vol. 29(11), pages 2553-2578, November.
    13. Liu, Wei & Song, Shiji & Wu, Cheng, 2013. "Impact of loss aversion on the newsvendor game with product substitution," International Journal of Production Economics, Elsevier, vol. 141(1), pages 352-359.
    14. Ye, Taofeng, 2014. "Inventory management with simultaneously horizontal and vertical substitution," International Journal of Production Economics, Elsevier, vol. 156(C), pages 316-324.
    15. Stavrulaki, Euthemia, 2011. "Inventory decisions for substitutable products with stock-dependent demand," International Journal of Production Economics, Elsevier, vol. 129(1), pages 65-78, January.
    16. Boxiao Chen & Xiuli Chao, 2020. "Dynamic Inventory Control with Stockout Substitution and Demand Learning," Management Science, INFORMS, vol. 66(11), pages 5108-5127, November.
    17. Huang, Di & Zhou, Hong & Zhao, Qiu-Hong, 2011. "A competitive multiple-product newsboy problem with partial product substitution," Omega, Elsevier, vol. 39(3), pages 302-312, June.
    18. Jie Zhang & Weijun Xie & Subhash C. Sarin, 2021. "Multiproduct Newsvendor Problem with Customer-Driven Demand Substitution: A Stochastic Integer Program Perspective," INFORMS Journal on Computing, INFORMS, vol. 33(3), pages 1229-1244, July.
    19. Geng, Qin & Mallik, Suman, 2007. "Inventory competition and allocation in a multi-channel distribution system," European Journal of Operational Research, Elsevier, vol. 182(2), pages 704-729, October.
    20. Dongling Cai & Li Jiang, 2020. "The Bright and Dark Sides of Customer Switching," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1381-1396, June.

    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:eee:proeco:v:204:y:2018:i:c:p:135-147. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.