IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v53y2015i12p3769-3788.html
   My bibliography  Save this article

Location-inventory problem in supply chains: a modelling review

Author

Listed:
  • Reza Zanjirani Farahani
  • Hannaneh Rashidi Bajgan
  • Behnam Fahimnia
  • Mohamadreza Kaviani

Abstract

A location-inventory problem (LIP) aims to integrate strategic supply chain design decisions with tactical and operational inventory management decisions. This study provides an extensive review of the existing literature of LIP modelling. A mathematical model is presented for a basic LIP, which can be further developed to incorporate additional features for use in real-world scenarios. We also discuss the evolution of LIP modelling literature over the past three decades and provide summary tables outlining characteristics of the published works including key modelling attributes and objective function cost components. Additional classifications are completed based on the solution methods adopted and real-world applications investigated. Our observations provide important insights and identify potential directions for future research in the field.

Suggested Citation

  • Reza Zanjirani Farahani & Hannaneh Rashidi Bajgan & Behnam Fahimnia & Mohamadreza Kaviani, 2015. "Location-inventory problem in supply chains: a modelling review," International Journal of Production Research, Taylor & Francis Journals, vol. 53(12), pages 3769-3788, June.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:12:p:3769-3788
    DOI: 10.1080/00207543.2014.988889
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2014.988889
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2014.988889?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.

    Citations

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


    Cited by:

    1. Ren, Shuyun & Choi, Tsan-Ming & Lee, Ka-Man & Lin, Lei, 2020. "Intelligent service capacity allocation for cross-border-E-commerce related third-party-forwarding logistics operations: A deep learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    2. Shang, Xiaoting & Zhang, Guoqing & Jia, Bin & Almanaseer, Mohammed, 2022. "The healthcare supply location-inventory-routing problem: A robust approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    3. Pourya Pourhejazy & Oh Kyoung Kwon, 2016. "The New Generation of Operations Research Methods in Supply Chain Optimization: A Review," Sustainability, MDPI, vol. 8(10), pages 1-23, October.
    4. Aaron Guerrero Campanur & Elias Olivares-Benitez & Pablo A. Miranda & Rodolfo Eleazar Perez-Loaiza & Jose Humberto Ablanedo-Rosas, 2018. "Design of a Logistics Nonlinear System for a Complex, Multiechelon, Supply Chain Network with Uncertain Demands," Complexity, Hindawi, vol. 2018, pages 1-16, November.
    5. Sinha, Ankur & Das, Arka & Anand, Guneshwar & Jayaswal, Sachin, 2023. "A general purpose exact solution method for mixed integer concave minimization problems," European Journal of Operational Research, Elsevier, vol. 309(3), pages 977-992.
    6. Li, Xuetao & Wang, Feilan & Al-Razgan, Muna & Mahrous Awwad, Emad & Zilola Abduvaxitovna, Shamansurova & Li, Zeyun & Li, Jianfeng, 2023. "Race to environmental sustainability: Can structural change, economic expansion and natural resource consumption effect environmental sustainability? A novel dynamic ARDL simulations approach," Resources Policy, Elsevier, vol. 86(PA).
    7. Zheng, Xiaojin & Yin, Meixia & Zhang, Yanxia, 2019. "Integrated optimization of location, inventory and routing in supply chain network design," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 1-20.
    8. Hao Guo & Congdong Li & Ying Zhang & Chunnan Zhang & Mengmeng Lu, 2018. "A Location-Inventory Problem in a Closed-Loop Supply Chain with Secondary Market Consideration," Sustainability, MDPI, vol. 10(6), pages 1-20, June.
    9. Straubert, Christian, 2024. "A continuous approximation location-inventory model with exact inventory costs and nonlinear delivery lead time penalties," International Journal of Production Economics, Elsevier, vol. 268(C).
    10. Hacardiaux, Thomas & Defryn, Christof & Tancrez, Jean-Sébastien & Verdonck, Lotte, 2020. "Balancing partner preferences for logistics costs and carbon footprint in a horizontal cooperation," Research Memorandum 002, Maastricht University, Graduate School of Business and Economics (GSBE).
    11. Darmawan, Agus & Wong, Hartanto & Thorstenson, Anders, 2021. "Supply chain network design with coordinated inventory control," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    12. Schuster Puga, Matías & Minner, Stefan & Tancrez, Jean-Sébastien, 2019. "Two-stage supply chain design with safety stock placement decisions," International Journal of Production Economics, Elsevier, vol. 209(C), pages 183-193.
    13. Congdong Li & Hao Guo & Ying Zhang & Shuai Deng & Yu Wang, 2018. "An Improved Differential Evolution Algorithm for a Multicommodity Location-Inventory Problem with False Failure Returns," Complexity, Hindawi, vol. 2018, pages 1-13, October.
    14. Fathi, Mahdi & Khakifirooz, Marzieh & Diabat, Ali & Chen, Huangen, 2021. "An integrated queuing-stochastic optimization hybrid Genetic Algorithm for a location-inventory supply chain network," International Journal of Production Economics, Elsevier, vol. 237(C).
    15. Holzapfel, Andreas & Kuhn, Heinrich & Sternbeck, Michael G., 2018. "Product allocation to different types of distribution center in retail logistics networks," European Journal of Operational Research, Elsevier, vol. 264(3), pages 948-966.
    16. Fichtinger, Johannes & Chan, Claire (Wan-Chuan) & Yates, Nicola, 2019. "A joint network design and multi-echelon inventory optimisation approach for supply chain segmentation," International Journal of Production Economics, Elsevier, vol. 209(C), pages 103-111.
    17. Hao Guo & Ying Zhang & Chunnan Zhang & Yu Liu & Yuan Zhou, 2020. "Location-inventory decisions for closed-loop supply chain management in the presence of the secondary market," Annals of Operations Research, Springer, vol. 291(1), pages 361-386, August.
    18. Soumen Kumar Das & Magfura Pervin & Sankar Kumar Roy & Gerhard Wilhelm Weber, 2023. "Multi-objective solid transportation-location problem with variable carbon emission in inventory management: a hybrid approach," Annals of Operations Research, Springer, vol. 324(1), pages 283-309, May.
    19. Escalona, P. & Marianov, V. & Ordóñez, F. & Stegmaier, R., 2018. "On the effect of inventory policies on distribution network design with several demand classes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 229-240.
    20. Thomas Hacardiaux & Christof Defryn & Jean-Sébastien Tancrez & Lotte Verdonck, 2022. "Balancing partner preferences for logistics costs and carbon footprint in a horizontal cooperation," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 121-153, March.
    21. Farahani, Reza Zanjirani & Fallah, Samira & Ruiz, Rubén & Hosseini, Sara & Asgari, Nasrin, 2019. "OR models in urban service facility location: A critical review of applications and future developments," European Journal of Operational Research, Elsevier, vol. 276(1), pages 1-27.
    22. Roberto León & Pablo A. Miranda-Gonzalez & Francisco J. Tapia-Ubeda & Elias Olivares-Benitez, 2024. "An Inventory Service-Level Optimization Problem for a Multi-Warehouse Supply Chain Network with Stochastic Demands," Mathematics, MDPI, vol. 12(16), pages 1-20, August.
    23. Thomas Hacardiaux & Jean-Sébastien Tancrez, 2020. "Assessing the environmental benefits of horizontal cooperation using a location-inventory model," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(4), pages 1363-1387, December.

    More about this item

    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:taf:tprsxx:v:53:y:2015:i:12:p:3769-3788. 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.

    We have no bibliographic references for this item. You can help adding them by using 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 Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.