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A Production Inventory Model for Deteriorating Items with Collaborative Preservation Technology Investment Under Carbon Tax

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  • YuJan Shen

    (Department of Finance, Fuzhou University of International Studies and Trade, Fuzhou 350202, China)

  • KuanFu Shen

    (Department of Finance, Chien Hsin University of Science and Technology, Taoyuan 320, Taiwan)

  • ChihTe Yang

    (Department of International Business, Chien Hsin University of Science and Technology, Taoyuan 320, Taiwan)

Abstract

The increase in carbon emissions is considered one of the major causes of global warming and climate change. To reduce the potential environmental and economic threat from such greenhouse gas emissions, governments must formulate policies related to carbon emissions. Most economists favor the carbon tax as an approach to reduce greenhouse gas emissions. This market-based approach is expected to inevitably affect enterprises’ operating activities such as production, inventory, and equipment investment. Therefore, in this study, we investigate a production inventory model for deteriorating items under a carbon tax policy and collaborative preservation technology investment from the perspective of supply chain integration. Our main purpose is to determine the optimal production, delivery, ordering, and investment policies for the buyer and vendor that maximize the joint total profit per unit time in consideration of the carbon tax policy. We present several numerical examples to demonstrate the solution procedures, and we conduct sensitivity analyses of the optimal solutions with respect to major parameters for identifying several managerial implications that provide a useful decision tool for the relevant managers. We hope that the study results assist government organizations in selecting a more appropriate carbon emissions policy for the carbon reduction trend.

Suggested Citation

  • YuJan Shen & KuanFu Shen & ChihTe Yang, 2019. "A Production Inventory Model for Deteriorating Items with Collaborative Preservation Technology Investment Under Carbon Tax," Sustainability, MDPI, vol. 11(18), pages 1-18, September.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:5027-:d:267184
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    References listed on IDEAS

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    1. Yu-Jen Lin & Chia-Huei Ho, 2011. "Integrated inventory model with quantity discount and price-sensitive demand," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 19(1), pages 177-188, July.
    2. Hua, Guowei & Cheng, T.C.E. & Wang, Shouyang, 2011. "Managing carbon footprints in inventory management," International Journal of Production Economics, Elsevier, vol. 132(2), pages 178-185, August.
    3. Dye, Chung-Yuan & Hsieh, Tsu-Pang, 2012. "An optimal replenishment policy for deteriorating items with effective investment in preservation technology," European Journal of Operational Research, Elsevier, vol. 218(1), pages 106-112.
    4. 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.
    5. Lu, Lu, 1995. "A one-vendor multi-buyer integrated inventory model," European Journal of Operational Research, Elsevier, vol. 81(2), pages 312-323, March.
    6. Zhang, Bin & Xu, Liang, 2013. "Multi-item production planning with carbon cap and trade mechanism," International Journal of Production Economics, Elsevier, vol. 144(1), pages 118-127.
    7. Chung-Yuan Dye & Tsu-Pang Hsieh, 2013. "A particle swarm optimization for solving lot-sizing problem with fluctuating demand and preservation technology cost under trade credit," Journal of Global Optimization, Springer, vol. 55(3), pages 655-679, March.
    8. 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.
    9. Goyal, Suresh K. & Nebebe, Fassil, 2000. "Determination of economic production-shipment policy for a single-vendor-single-buyer system," European Journal of Operational Research, Elsevier, vol. 121(1), pages 175-178, February.
    10. Ho, Chia-Huei & Ouyang, Liang-Yuh & Su, Chia-Hsien, 2008. "Optimal pricing, shipment and payment policy for an integrated supplier-buyer inventory model with two-part trade credit," European Journal of Operational Research, Elsevier, vol. 187(2), pages 496-510, June.
    11. Zied Jemai & Y Bouchery & Asma Ghaffari & Yves Dallery, 2012. "Including sustainability criteria into inventory models," Post-Print hal-01672398, HAL.
    12. B.C. Giri & B. Roy, 2013. "A vendor-buyer integrated production-inventory model with quantity discount and unequal sized shipments," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 16(1), pages 1-13.
    13. Goyal, S. K., 1995. "A one-vendor multi-buyer integrated inventory model: A comment," European Journal of Operational Research, Elsevier, vol. 82(1), pages 209-210, April.
    14. Owen Q. Wu & Hong Chen, 2010. "Optimal Control and Equilibrium Behavior of Production-Inventory Systems," Management Science, INFORMS, vol. 56(8), pages 1362-1379, August.
    15. Hsu, P.H. & Wee, H.M. & Teng, H.M., 2010. "Preservation technology investment for deteriorating inventory," International Journal of Production Economics, Elsevier, vol. 124(2), pages 388-394, April.
    16. 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.
    17. Sana, Shib Sankar, 2010. "A production-inventory model in an imperfect production process," European Journal of Operational Research, Elsevier, vol. 200(2), pages 451-464, January.
    18. Yu-Chung Tsao, 2016. "Joint location, inventory, and preservation decisions for non-instantaneous deterioration items under delay in payments," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(3), pages 572-585, February.
    19. Hill, Roger M., 1997. "The single-vendor single-buyer integrated production-inventory model with a generalised policy," European Journal of Operational Research, Elsevier, vol. 97(3), pages 493-499, March.
    20. Dye, Chung-Yuan, 2013. "The effect of preservation technology investment on a non-instantaneous deteriorating inventory model," Omega, Elsevier, vol. 41(5), pages 872-880.
    21. Kelle, Peter & Al-khateeb, Faisal & Anders Miller, Pam, 2003. "Partnership and negotiation support by joint optimal ordering/setup policies for JIT," International Journal of Production Economics, Elsevier, vol. 81(1), pages 431-441, January.
    22. Haddadsisakht, Ali & Ryan, Sarah M., 2018. "Closed-loop supply chain network design with multiple transportation modes under stochastic demand and uncertain carbon tax," International Journal of Production Economics, Elsevier, vol. 195(C), pages 118-131.
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    Cited by:

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    2. Chunming Xu & Xiaojie Liu & Chenchen Wu & Baiyun Yuan, 2020. "Optimal Inventory Control Strategies for Deteriorating Items with a General Time-Varying Demand under Carbon Emission Regulations," Energies, MDPI, vol. 13(4), pages 1-20, February.
    3. Suchitra Pattnaik & Mitali Madhusmita Nayak & Stefano Abbate & Piera Centobelli, 2021. "Recent Trends in Sustainable Inventory Models: A Literature Review," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
    4. Jia-Liang Pan & Chui-Yu Chiu & Kun-Shan Wu & Chih-Te Yang & Yen-Wen Wang, 2021. "Optimal Pricing, Advertising, Production, Inventory and Investing Policies in a Multi-Stage Sustainable Supply Chain," Energies, MDPI, vol. 14(22), pages 1-20, November.
    5. Mukunda Choudhury & Sujit Kumar De & Gour Chandra Mahata, 2023. "A pollution-sensitive multistage production-inventory model for deteriorating items considering expiration date under Stackelberg game approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11847-11884, October.
    6. Nabajyoti Bhattacharjee & Nabendu Sen, 2022. "A sustainable production inventory model for profit maximization under optimum raw material input rate during production," OPSEARCH, Springer;Operational Research Society of India, vol. 59(2), pages 667-693, June.
    7. Chauhan, Chetna & Kaur, Puneet & Arrawatia, Rakesh & Ractham, Peter & Dhir, Amandeep, 2022. "Supply chain collaboration and sustainable development goals (SDGs). Teamwork makes achieving SDGs dream work," Journal of Business Research, Elsevier, vol. 147(C), pages 290-307.
    8. Mubashir Hayat & Bashir Salah & Misbah Ullah & Iftikhar Hussain & Razaullah Khan, 2020. "Shipment Policy for an Economic Production Quantity Model Considering Imperfection and Transportation Cost," Sustainability, MDPI, vol. 12(21), pages 1-16, October.
    9. Nabajyoti Bhattacharjee & Nabendu Sen, 2021. "An inventory model to study the effect of the probabilistic rate of carbon emission on the profit earned by a supplier," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(4), pages 5-33.
    10. Doo-Ho Lee & Jong-Chul Yoon, 2022. "Decisions on Pricing, Sustainability Effort, and Carbon Cap under Wholesale Price and Cost-Sharing Contracts," Sustainability, MDPI, vol. 14(8), pages 1-21, April.
    11. Yosef Daryanto & Djoko Setyanto, 2023. "Production Inventory Optimization Considering Direct and Indirect Carbon Emissions under a Cap-and-Trade Regulation," Logistics, MDPI, vol. 7(1), pages 1-18, March.

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