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Multi-product inventory model for cold items with cost and emission consideration

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  • Bozorgi, Ali

Abstract

While sharing storage and transportation units is common for many product types, cold items usually have different temperature requirements and as a result, not all items can share a holding/transportation unit. Consequently, the type of products and their compatibility with other products needs to be considered in the inventory model. In this paper, we propose multi-product inventory models for cold items. The models determine the inventory levels that minimize either the cost or carbon-equivalent emissions. We model the compatibility of items as a constraint in the inventory model. To solve the model, we first find an appropriate “family of products” that can share a storage/transportation unit. Then, for each family of products we develop an approximate solution method to determine the order quantity of each product within a family. Numerical experiments demonstrate the solution procedure, and provide managerial insights into cold item inventory policies.

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  • 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.
    • Handle: RePEc:eee:proeco:v:176:y:2016:i:c:p:123-142
    DOI: 10.1016/j.ijpe.2016.03.011
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    1. Jingpu Song & Mingming Leng, 2012. "Analysis of the Single-Period Problem under Carbon Emissions Policies," International Series in Operations Research & Management Science, in: Tsan-Ming Choi (ed.), Handbook of Newsvendor Problems, edition 127, chapter 0, pages 297-313, Springer.
    2. Kulkarni, Shailesh S., 2008. "On a multi-product model of lot-sizing with quality costs," International Journal of Production Economics, Elsevier, vol. 112(2), pages 1002-1010, April.
    3. Kanchanasuntorn, Kanchana & Techanitisawad, Anulark, 2006. "An approximate periodic model for fixed-life perishable products in a two-echelon inventory-distribution system," International Journal of Production Economics, Elsevier, vol. 100(1), pages 101-115, March.
    4. 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.
    5. Shenle Pan & Eric Ballot & Frédéric Fontane & Driss Hakimi, 2014. "Environmental and economic issues arising from the pooling of SMEs' supply chains: case study of the food industry in Western France," Post-Print hal-00733668, HAL.
    6. Fitzgerald, Warren B. & Howitt, Oliver J.A. & Smith, Inga J. & Hume, Anthony, 2011. "Energy use of integral refrigerated containers in maritime transportation," Energy Policy, Elsevier, vol. 39(4), pages 1885-1896, April.
    7. Soto-Silva, Wladimir E. & Nadal-Roig, Esteve & González-Araya, Marcela C. & Pla-Aragones, Lluis M., 2016. "Operational research models applied to the fresh fruit supply chain," European Journal of Operational Research, Elsevier, vol. 251(2), pages 345-355.
    8. Accorsi, Riccardo & Cascini, Alessandro & Cholette, Susan & Manzini, Riccardo & Mora, Cristina, 2014. "Economic and environmental assessment of reusable plastic containers: A food catering supply chain case study," International Journal of Production Economics, Elsevier, vol. 152(C), pages 88-101.
    9. Demange, Marc & Ekim, Tınaz & Ries, Bernard & Tanasescu, Cerasela, 2015. "On some applications of the selective graph coloring problem," European Journal of Operational Research, Elsevier, vol. 240(2), pages 307-314.
    10. Haksever, Cengiz & Moussourakis, John, 2008. "Determining order quantities in multi-product inventory systems subject to multiple constraints and incremental discounts," European Journal of Operational Research, Elsevier, vol. 184(3), pages 930-945, February.
    11. Guerrero, W.J. & Yeung, T.G. & Guéret, C., 2013. "Joint-optimization of inventory policies on a multi-product multi-echelon pharmaceutical system with batching and ordering constraints," European Journal of Operational Research, Elsevier, vol. 231(1), pages 98-108.
    12. Agustina, Dwi & Lee, C.K.M. & Piplani, Rajesh, 2014. "Vehicle scheduling and routing at a cross docking center for food supply chains," International Journal of Production Economics, Elsevier, vol. 152(C), pages 29-41.
    13. 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.
    14. Ross Morrow, W. & Gallagher, Kelly Sims & Collantes, Gustavo & Lee, Henry, 2010. "Analysis of policies to reduce oil consumption and greenhouse-gas emissions from the US transportation sector," Energy Policy, Elsevier, vol. 38(3), pages 1305-1320, March.
    15. Shenle Pan & Eric Ballot & Frédéric Fontane, 2013. "The reduction of greenhouse gas emissions from freight transport by pooling supply chains," Post-Print hal-00733678, HAL.
    16. Safaei Mohamadabadi, H. & Tichkowsky, G. & Kumar, A., 2009. "Development of a multi-criteria assessment model for ranking of renewable and non-renewable transportation fuel vehicles," Energy, Elsevier, vol. 34(1), pages 112-125.
    17. Bhattacharya, D. K., 2005. "On multi-item inventory," European Journal of Operational Research, Elsevier, vol. 162(3), pages 786-791, May.
    18. 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.
    19. Zied Jemai & Y Bouchery & Asma Ghaffari & Yves Dallery, 2012. "Including sustainability criteria into inventory models," Post-Print hal-01672398, HAL.
    20. Lenard, J. D. & Roy, B., 1995. "Multi-item inventory control: A multicriteria view," European Journal of Operational Research, Elsevier, vol. 87(3), pages 685-692, December.
    21. Pan, Shenle & Ballot, Eric & Fontane, Frédéric, 2013. "The reduction of greenhouse gas emissions from freight transport by pooling supply chains," International Journal of Production Economics, Elsevier, vol. 143(1), pages 86-94.
    22. Zhang, Bin, 2012. "Multi-tier binary solution method for multi-product newsvendor problem with multiple constraints," European Journal of Operational Research, Elsevier, vol. 218(2), pages 426-434.
    23. 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.
    24. Chaabane, A. & Ramudhin, A. & Paquet, M., 2012. "Design of sustainable supply chains under the emission trading scheme," International Journal of Production Economics, Elsevier, vol. 135(1), pages 37-49.
    25. Bakker, Monique & Riezebos, Jan & Teunter, Ruud H., 2012. "Review of inventory systems with deterioration since 2001," European Journal of Operational Research, Elsevier, vol. 221(2), pages 275-284.
    26. Ji, Guojun & Gunasekaran, Angappa & Yang, Guangyong, 2014. "Constructing sustainable supply chain under double environmental medium regulations," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 211-219.
    27. Zhou, Yan-ju & Chen, Xiao-hong & Wang, Zong-run, 2008. "Optimal ordering quantities for multi-products with stochastic demand: Return-CVaR model," International Journal of Production Economics, Elsevier, vol. 112(2), pages 782-795, April.
    28. Bastani, Parisa & Heywood, John B. & Hope, Chris, 2012. "The effect of uncertainty on US transport-related GHG emissions and fuel consumption out to 2050," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 517-548.
    29. Abdel-Malek, Layek L. & Montanari, Roberto, 2005. "An analysis of the multi-product newsboy problem with a budget constraint," International Journal of Production Economics, Elsevier, vol. 97(3), pages 296-307, September.
    30. Absi, Nabil & Dauzère-Pérès, Stéphane & Kedad-Sidhoum, Safia & Penz, Bernard & Rapine, Christophe, 2013. "Lot sizing with carbon emission constraints," European Journal of Operational Research, Elsevier, vol. 227(1), pages 55-61.
    31. Grekova, K. & Bremmers, H.J. & Trienekens, J.H. & Kemp, R.G.M. & Omta, S.W.F., 2014. "Extending environmental management beyond the firm boundaries: An empirical study of Dutch food and beverage firms," International Journal of Production Economics, Elsevier, vol. 152(C), pages 174-187.
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    Cited by:

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    2. Yang, Yuxiang & Goodarzi, Shadi & Bozorgi, Ali & Fahimnia, Behnam, 2021. "Carbon cap-and-trade schemes in closed-loop supply chains: Why firms do not comply?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    3. Yosef Daryanto & Hui Ming Wee & Gede Agus Widyadana, 2019. "Low Carbon Supply Chain Coordination for Imperfect Quality Deteriorating Items," Mathematics, MDPI, vol. 7(3), pages 1-24, March.
    4. Cheng, Chun & Qi, Mingyao & Wang, Xingyi & Zhang, Ying, 2016. "Multi-period inventory routing problem under carbon emission regulations," International Journal of Production Economics, Elsevier, vol. 182(C), pages 263-275.
    5. Adarsh Kumar Singh & Nachiappan Subramanian & Kulwant Singh Pawar & Ruibin Bai, 2018. "Cold chain configuration design: location-allocation decision-making using coordination, value deterioration, and big data approximation," Annals of Operations Research, Springer, vol. 270(1), pages 433-457, November.
    6. Eleonora Bottani & Giorgia Casella & Majcol Nobili & Letizia Tebaldi, 2022. "An Analytic Model for Estimating the Economic and Environmental Impact of Food Cold Supply Chain," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
    7. Beatrice Marchi & Simone Zanoni & Mohamad Y. Jaber, 2020. "Energy Implications of Lot Sizing Decisions in Refrigerated Warehouses," Energies, MDPI, vol. 13(7), pages 1-13, April.
    8. Gaganis, Chrysovalantis & Galariotis, Emilios & Pasiouras, Fotios & Tasiou, Menelaos, 2023. "Managerial ability and corporate greenhouse gas emissions," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 438-453.
    9. Chen, Zhixiang & Bidanda, Bopaya, 2019. "Sustainable manufacturing production-inventory decision of multiple factories with JIT logistics, component recovery and emission control," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 356-383.

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