IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i13p5544-d1424929.html
   My bibliography  Save this article

Exploring Green Inventory Management through Periodic Review Inventory Systems—A Comprehensive Literature Review and Directions for Future Research

Author

Listed:
  • Jasmina Žic

    (Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, 10002 Zagreb, Croatia)

  • Samir Žic

    (Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia)

  • Goran Đukić

    (Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, 10002 Zagreb, Croatia)

  • Svetlana Dabić-Miletić

    (Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11010 Belgrade, Serbia)

Abstract

With the increasing environmental concerns and legislative pressures, the focus on incorporating ecologically sustainable practices into inventory management systems has grown, leading to the emergence of green inventory management. However, this field is not without its challenges, with numerous conflicting real-world constraints and goals. A comprehensive literature review targeting green inventory management operating under a periodic review inventory system was conducted to identify research gaps and potential directions for future research. Despite the growing interest in the field, this review highlighted the scarcity of relevant studies. Out of the 1272 papers reviewed, only 16 studies, or 1.3%, met the criteria for exploring periodic review inventory systems while simultaneously considering environmental and economic aspects. These studies were further analyzed in detail and categorized according to key classification criteria. The future research directions highlighted the need for additional studies on periodic review inventory systems operating under stochastic market demand in the context of green supply chain management. The standardization of emission calculation methodologies was also emphasized as a crucial step towards aligning inventory management practices with the aim of increasing inventory management efficiency and the related improvement in the environmental performance of supply chains.

Suggested Citation

  • Jasmina Žic & Samir Žic & Goran Đukić & Svetlana Dabić-Miletić, 2024. "Exploring Green Inventory Management through Periodic Review Inventory Systems—A Comprehensive Literature Review and Directions for Future Research," Sustainability, MDPI, vol. 16(13), pages 1-17, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5544-:d:1424929
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/13/5544/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/13/5544/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kiesmüller, G.P. & de Kok, A.G. & Dabia, S., 2011. "Single item inventory control under periodic review and a minimum order quantity," International Journal of Production Economics, Elsevier, vol. 133(1), pages 280-285, September.
    2. Strijbosch, L.W.G. & Moors, J.J.A., 2002. "Simulating an (R,s,S) Inventory System," Other publications TiSEM b0f530fd-a869-4eb0-a851-0, Tilburg University, School of Economics and Management.
    3. Nativi, Juan Jose & Lee, Seokcheon, 2012. "Impact of RFID information-sharing strategies on a decentralized supply chain with reverse logistics operations," International Journal of Production Economics, Elsevier, vol. 136(2), pages 366-377.
    4. Dekker, Rommert & Bloemhof, Jacqueline & Mallidis, Ioannis, 2012. "Operations Research for green logistics – An overview of aspects, issues, contributions and challenges," European Journal of Operational Research, Elsevier, vol. 219(3), pages 671-679.
    5. Zied Babai, M. & Syntetos, Aris A. & Teunter, Ruud, 2010. "On the empirical performance of (T, s, S) heuristics," European Journal of Operational Research, Elsevier, vol. 202(2), pages 466-472, April.
    6. de Kok, Ton & Grob, Christopher & Laumanns, Marco & Minner, Stefan & Rambau, Jörg & Schade, Konrad, 2018. "A typology and literature review on stochastic multi-echelon inventory models," European Journal of Operational Research, Elsevier, vol. 269(3), pages 955-983.
    7. Bijvank, Marco & Vis, Iris F.A., 2012. "Lost-sales inventory systems with a service level criterion," European Journal of Operational Research, Elsevier, vol. 220(3), pages 610-618.
    8. Zied Jemai & Y Bouchery & Asma Ghaffari & Yves Dallery, 2012. "Including sustainability criteria into inventory models," Post-Print hal-01672398, HAL.
    9. Wen, Xin & Choi, Tsan-Ming & Chung, Sai-Ho, 2019. "Fashion retail supply chain management: A review of operational models," International Journal of Production Economics, Elsevier, vol. 207(C), pages 34-55.
    10. Bonney, Maurice & Jaber, Mohamad Y., 2011. "Environmentally responsible inventory models: Non-classical models for a non-classical era," International Journal of Production Economics, Elsevier, vol. 133(1), pages 43-53, September.
    11. Bouchery, Yann & Ghaffari, Asma & Jemai, Zied & Dallery, Yves, 2012. "Including sustainability criteria into inventory models," European Journal of Operational Research, Elsevier, vol. 222(2), pages 229-240.
    12. Tang, Shaolong & Wang, Wenjie & Yan, Hong & Hao, Gang, 2015. "Low carbon logistics: Reducing shipment frequency to cut carbon emissions," International Journal of Production Economics, Elsevier, vol. 164(C), pages 339-350.
    13. Sridhar Bashyam & Michael C. Fu, 1998. "Optimization of (s, S) Inventory Systems with Random Lead Times and a Service Level Constraint," Management Science, INFORMS, vol. 44(12-Part-2), pages 243-256, December.
    14. Micheli, Guido J.L. & Mantella, Fabio, 2018. "Modelling an environmentally-extended inventory routing problem with demand uncertainty and a heterogeneous fleet under carbon control policies," International Journal of Production Economics, Elsevier, vol. 204(C), pages 316-327.
    15. Drent, Melvin & Moradi, Poulad & Arts, Joachim, 2023. "Efficient emission reduction through dynamic supply mode selection," European Journal of Operational Research, Elsevier, vol. 311(3), pages 925-941.
    16. Konur, Dinçer, 2014. "Carbon constrained integrated inventory control and truckload transportation with heterogeneous freight trucks," International Journal of Production Economics, Elsevier, vol. 153(C), pages 268-279.
    17. Edward A. Silver, 1981. "Operations Research in Inventory Management: A Review and Critique," Operations Research, INFORMS, vol. 29(4), pages 628-645, August.
    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. Yann Bouchery & Asma Ghaffari & Zied Jemai & Jan Fransoo, 2016. "Sustainable transportation and order quantity: insights from multiobjective optimization," Flexible Services and Manufacturing Journal, Springer, vol. 28(3), pages 367-396, September.
    2. Y Bouchery & Asma Ghaffari & Zied Jemai & Jan C Fransoo, 2016. "Sustainable transportation and order quantity: insights from multiobjective optimization," Post-Print hal-01954465, HAL.
    3. Schaefer, Brian & Konur, Dinçer, 2015. "Economic and environmental considerations in a continuous review inventory control system with integrated transportation decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 142-165.
    4. McDonald, Conor M., 2016. "Integrating packaging and supply chain decisions: Selection of economic handling unit quantities," International Journal of Production Economics, Elsevier, vol. 180(C), pages 208-221.
    5. Mallidis, Ioannis & Vlachos, Dimitrios & Iakovou, Eleftherios & Dekker, Rommert, 2014. "Design and planning for green global supply chains under periodic review replenishment policies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 210-235.
    6. Visentin, Andrea & Prestwich, Steven & Rossi, Roberto & Tarim, S. Armagan, 2021. "Computing optimal (R,s,S) policy parameters by a hybrid of branch-and-bound and stochastic dynamic programming," European Journal of Operational Research, Elsevier, vol. 294(1), pages 91-99.
    7. M. Turkensteen (Marcel) & van den Heuvel, W., 2019. "The trade-off between costs and carbon emissions from lot-sizing decisions," Econometric Institute Research Papers EI2019-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Dinçer Konur & Joseph Geunes, 2019. "Integrated districting, fleet composition, and inventory planning for a multi-retailer distribution system," Annals of Operations Research, Springer, vol. 273(1), pages 527-559, February.
    9. Bozorgi, Ali & Pazour, Jennifer & Nazzal, Dima, 2014. "A new inventory model for cold items that considers costs and emissions," International Journal of Production Economics, Elsevier, vol. 155(C), pages 114-125.
    10. Palak, Gökçe & Ekşioğlu, Sandra Duni & Geunes, Joseph, 2014. "Analyzing the impacts of carbon regulatory mechanisms on supplier and mode selection decisions: An application to a biofuel supply chain," International Journal of Production Economics, Elsevier, vol. 154(C), pages 198-216.
    11. Hu, Qiwei & Boylan, John E. & Chen, Huijing & Labib, Ashraf, 2018. "OR in spare parts management: A review," European Journal of Operational Research, Elsevier, vol. 266(2), pages 395-414.
    12. Bozorgi, Ali, 2016. "Multi-product inventory model for cold items with cost and emission consideration," International Journal of Production Economics, Elsevier, vol. 176(C), pages 123-142.
    13. Battini, Daria & Persona, Alessandro & Sgarbossa, Fabio, 2014. "A sustainable EOQ model: Theoretical formulation and applications," International Journal of Production Economics, Elsevier, vol. 149(C), pages 145-153.
    14. Konur, Dinçer & Campbell, James F. & Monfared, Sepideh A., 2017. "Economic and environmental considerations in a stochastic inventory control model with order splitting under different delivery schedules among suppliers," Omega, Elsevier, vol. 71(C), pages 46-65.
    15. Bouchery, Yann & Ghaffari, Asma & Jemai, Zied & Tan, Tarkan, 2017. "Impact of coordination on costs and carbon emissions for a two-echelon serial economic order quantity problem," European Journal of Operational Research, Elsevier, vol. 260(2), pages 520-533.
    16. Daria Battini & Martina Calzavara & Ilaria Isolan & Fabio Sgarbossa & Francesco Zangaro, 2018. "Sustainability in Material Purchasing: A Multi-Objective Economic Order Quantity Model under Carbon Trading," Sustainability, MDPI, vol. 10(12), pages 1-15, November.
    17. Harpreet Kaur & Surya Prakash Singh, 2019. "Sustainable procurement and logistics for disaster resilient supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 309-354, December.
    18. Jin-Kyung Kwak, 2021. "An Order-Up-to Inventory Model with Sustainability Consideration," Sustainability, MDPI, vol. 13(23), pages 1-8, December.
    19. Tang, Shaolong & Wang, Wenjie & Cho, Stella & Yan, Hong, 2018. "Reducing emissions in transportation and inventory management: (R, Q) Policy with considerations of carbon reduction," European Journal of Operational Research, Elsevier, vol. 269(1), pages 327-340.
    20. Andriolo, Alessandro & Battini, Daria & Persona, Alessandro & Sgarbossa, Fabio, 2015. "Haulage sharing approach to achieve sustainability in material purchasing: New method and numerical applications," International Journal of Production Economics, Elsevier, vol. 164(C), pages 308-318.

    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:gam:jsusta:v:16:y:2024:i:13:p:5544-:d:1424929. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.