IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i9p1511-d109755.html
   My bibliography  Save this article

The Green Supply Chain Design and Marketing Strategy for Perishable Food Based on Temperature Control

Author

Listed:
  • Shuai Yang

    (School of Economics and Management, Changshu Institute of Technology, Changshu 215500, China)

  • Yujie Xiao

    (Jiangsu Key Laboratory of Modern Logistics, School of Marketing and Logistics Management, Nanjing University of Finance and Economics, Nanjing 210023, China
    Business School, Nanjing University, Nanjing 210093, China)

  • Yan Zheng

    (College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Yan Liu

    (Jiangsu Key Laboratory of Modern Logistics, School of Marketing and Logistics Management, Nanjing University of Finance and Economics, Nanjing 210023, China)

Abstract

With the intensification of global warming and the levy of energy tax, more industries are paying attention to energy saving and reduction of carbon footprint. For the food industry, energy cost in the supply chain of perishable food is quite high because of cold-chain transport and storage. Therefore, the efficacies of cold chain management and inventory control are the key factors that increase the efficiency of food supply chain and make it more ecological. This research analyzes the degradation process of perishable food and determines the optimal temperature of the cold chain as well as the optimal price to maximize the channel profit. We prove that there is an optimal price with a certain temperature and develop an efficient search algorithm to find the optimal temperature. We also perform sensitivity analyses to test which parameters affect the channel profit significantly. Numerical experiments are conducted to illustrate the proposed models.

Suggested Citation

  • Shuai Yang & Yujie Xiao & Yan Zheng & Yan Liu, 2017. "The Green Supply Chain Design and Marketing Strategy for Perishable Food Based on Temperature Control," Sustainability, MDPI, vol. 9(9), pages 1-8, August.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:9:p:1511-:d:109755
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/9/1511/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/9/1511/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nicholas C. Petruzzi & Maqbool Dada, 1999. "Pricing and the Newsvendor Problem: A Review with Extensions," Operations Research, INFORMS, vol. 47(2), pages 183-194, April.
    2. Liu, Zugang (Leo) & Anderson, Trisha D. & Cruz, Jose M., 2012. "Consumer environmental awareness and competition in two-stage supply chains," European Journal of Operational Research, Elsevier, vol. 218(3), pages 602-613.
    3. S Swami & J Shah, 2013. "Channel coordination in green supply chain management," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(3), pages 336-351, March.
    4. Wang, Xiaojun & Li, Dong, 2012. "A dynamic product quality evaluation based pricing model for perishable food supply chains," Omega, Elsevier, vol. 40(6), pages 906-917.
    5. Zanoni, Simone & Zavanella, Lucio, 2012. "Chilled or frozen? Decision strategies for sustainable food supply chains," International Journal of Production Economics, Elsevier, vol. 140(2), pages 731-736.
    6. Mark Ferguson & Michael E. Ketzenberg, 2006. "Information Sharing to Improve Retail Product Freshness of Perishables," Production and Operations Management, Production and Operations Management Society, vol. 15(1), pages 57-73, March.
    7. Wee, Hui-Ming, 1995. "Joint pricing and replenishment policy for deteriorating inventory with declining market," International Journal of Production Economics, Elsevier, vol. 40(2-3), pages 163-171, August.
    8. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    9. Shuai Yang & Yujie Xiao & Yong-Hong Kuo, 2017. "The Supply Chain Design for Perishable Food with Stochastic Demand," Sustainability, MDPI, vol. 9(7), pages 1-12, July.
    10. Goyal, S. K. & Giri, B. C., 2001. "Recent trends in modeling of deteriorating inventory," European Journal of Operational Research, Elsevier, vol. 134(1), pages 1-16, October.
    11. Akkerman, Renzo & van Donk, Dirk Pieter, 2007. "Product prioritization in a two-stage food production system with intermediate storage," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 43-53, July.
    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. Jingjie Wang & Zhiqiang Zhu & Liliana Mihaela Moga & Jinyou Hu & Xiaoshuan Zhang, 2019. "A Holistic Packaging Efficiency Evaluation Method for Loss Prevention in Fresh Vegetable Cold Chain," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    2. Linh N. K. Duong & Lincoln C. Wood & William Y. C. Wang, 2018. "Effects of Consumer Demand, Product Lifetime, and Substitution Ratio on Perishable Inventory Management," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    3. Katherinne Salas-Navarro & Paula Serrano-Pájaro & Holman Ospina-Mateus & Ronald Zamora-Musa, 2022. "Inventory Models in a Sustainable Supply Chain: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    4. Amin Gharehyakheh & Caroline C. Krejci & Jaime Cantu & K. Jamie Rogers, 2020. "A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life," Sustainability, MDPI, vol. 12(16), pages 1-21, August.
    5. Kamble, Sachin S. & Gunasekaran, Angappa & Gawankar, Shradha A., 2020. "Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications," International Journal of Production Economics, Elsevier, vol. 219(C), pages 179-194.
    6. Rafael Tordecilla-Madera & Andrés Polo & Adrián Cañón, 2018. "Vehicles Allocation for Fruit Distribution Considering CO 2 Emissions and Decisions on Subcontracting," Sustainability, MDPI, vol. 10(7), pages 1-21, July.
    7. Li-Chun Huang & Yu-Hui Chen & Ya-Hui Chen & Chi-Fang Wang & Ming-Che Hu, 2018. "Food-Energy Interactive Tradeoff Analysis of Sustainable Urban Plant Factory Production Systems," Sustainability, MDPI, vol. 10(2), pages 1-12, February.
    8. Andrea Gallo & Riccardo Accorsi & Giulia Baruffaldi & Riccardo Manzini, 2017. "Designing Sustainable Cold Chains for Long-Range Food Distribution: Energy-Effective Corridors on the Silk Road Belt," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
    9. Yan Fang & Yiping Jiang & Lijun Sun & Xingxing Han, 2018. "Design of Green Cold Chain Networks for Imported Fresh Agri-Products in Belt and Road Development," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    10. Shi‐Woei Lin & Januardi, 2023. "Two‐stage pricing of perishable food supply chain with quality‐keeping and waste reduction efforts," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(3), pages 1749-1766, April.
    11. Jaekwon Chung, 2019. "Effective Pricing of Perishables for a More Sustainable Retail Food Market," Sustainability, MDPI, vol. 11(17), pages 1-16, August.

    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. Shuai Yang & Yujie Xiao & Yong-Hong Kuo, 2017. "The Supply Chain Design for Perishable Food with Stochastic Demand," Sustainability, MDPI, vol. 9(7), pages 1-12, July.
    2. Guowei Liu & Jianxiong Zhang & Wansheng Tang, 2015. "Joint dynamic pricing and investment strategy for perishable foods with price-quality dependent demand," Annals of Operations Research, Springer, vol. 226(1), pages 397-416, March.
    3. Govindan, K. & Jafarian, A. & Khodaverdi, R. & Devika, K., 2014. "Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food," International Journal of Production Economics, Elsevier, vol. 152(C), pages 9-28.
    4. Yujie Xiao & Shuai Yang, 2016. "The Retail Chain Design for Perishable Food: The Case of Price Strategy and Shelf Space Allocation," Sustainability, MDPI, vol. 9(1), pages 1-11, December.
    5. Santos, Maria João & Martins, Sara & Amorim, Pedro & Almada-Lobo, Bernardo, 2022. "On the impact of adjusting the minimum life on receipt (MLOR) criterion in food supply chains," Omega, Elsevier, vol. 112(C).
    6. Shoufeng Ji & Dan Zhao & Xiaoshuai Peng, 2018. "Joint Decisions on Emission Reduction and Inventory Replenishment with Overconfidence and Low-Carbon Preference," Sustainability, MDPI, vol. 10(4), pages 1-21, April.
    7. Hongliang Li & Jun Liu & Jiangjie Qiu & Yunsen Zhou & Xu Zhang & Yuming Wang & Wei Guo, 2024. "ARIMA-Driven Vegetable Pricing and Restocking Strategy for Dual Optimization of Freshness and Profitability in Supermarket Perishables," Sustainability, MDPI, vol. 16(10), pages 1-26, May.
    8. Wang, Xiaojun & Li, Dong, 2012. "A dynamic product quality evaluation based pricing model for perishable food supply chains," Omega, Elsevier, vol. 40(6), pages 906-917.
    9. Özbilge, Armağan & Hassini, Elkafi & Parlar, Mahmut, 2024. "Optimal pricing and donation policy for fresh goods," European Journal of Operational Research, Elsevier, vol. 312(1), pages 198-210.
    10. Chen, Jing & Dong, Ming & Rong, Ying & Yang, Liang, 2018. "Dynamic pricing for deteriorating products with menu cost," Omega, Elsevier, vol. 75(C), pages 13-26.
    11. Ming Luo & GuoHua Zhou & Hao Xu, 2022. "RETRACTED ARTICLE: Three-tier supply chain on temperature control for fresh agricultural products using new differential game model under two decision-making situations," Operations Management Research, Springer, vol. 15(3), pages 1028-1047, December.
    12. Avinadav, Tal & Levy, Priel, 2023. "The effect of an uncertain commission rate on the decisions of a capital-constrained developer," Operations Research Perspectives, Elsevier, vol. 11(C).
    13. Dong Li & Xiaojun Wang, 2017. "Dynamic supply chain decisions based on networked sensor data: an application in the chilled food retail chain," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5127-5141, September.
    14. Juanjuan Qin & Liguo Ren & Liangjie Xia, 2017. "Carbon Emission Reduction and Pricing Strategies of Supply Chain under Various Demand Forecasting Scenarios," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(01), pages 1-27, February.
    15. Yi Zheng & Huchang Liao & Xue Yang, 2016. "Stochastic Pricing and Order Model with Transportation Mode Selection for Low-Carbon Retailers," Sustainability, MDPI, vol. 8(1), pages 1-19, January.
    16. Ketzenberg, M.E. & Bloemhof-Ruwaard, J.M., 2009. "The Value of RFID Technology Enabled Information to Manage Perishables," ERIM Report Series Research in Management ERS-2009-020-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    17. Zhaofu Hong & Hao Wang & Yeming Gong, 2019. "Green product design considering functional-product reference," Post-Print hal-02312293, HAL.
    18. Ketzenberg, Michael & Oliva, Rogelio & Wang, Yimin & Webster, Scott, 2023. "Retailer inventory data sharing in a fresh product supply chain," European Journal of Operational Research, Elsevier, vol. 307(2), pages 680-693.
    19. Janssen, Larissa & Diabat, Ali & Sauer, Jürgen & Herrmann, Frank, 2018. "A stochastic micro-periodic age-based inventory replenishment policy for perishable goods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 445-465.
    20. Chen, Wenbo, 2018. "Retailer-driven carbon emission abatement with consumer environmental awareness and carbon tax: Revenue-sharing versus Cost-sharingAuthor-Name: Yang, Huixiao," Omega, Elsevier, vol. 78(C), pages 179-191.

    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:9:y:2017:i:9:p:1511-:d:109755. 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.