IDEAS home Printed from https://ideas.repec.org/p/ems/eureri/137154.html
   My bibliography  Save this paper

Demand Management for Sustainable Supply Chain Operations

Author

Listed:
  • Agatz, N.A.H.
  • Fleischmann, M.

Abstract

Supply chain management (SCM) is about fulfilling demand. Based on given estimates of future demand, SCM invests the appropriate resources and then uses these resources to match supply to demand. The traditional SCM perspective takes demand as exogenous. The goal of SCM is then to serve the forecasted or materialized demand effectively and efficiently. How difficult it is to achieve this goal depends on the characteristics of that demand. For example, serving a stable, predictable demand is relatively cheap whereas serving an unpredictable, strongly fluctuating demand may imply less efficient operations characterized by high inventory built-up and low capacity utilization. In the same way, demand characteristics impact not only the financial performance of the supply process but also its environmental impact. For example, satisfying demand for fresh produce during the harvesting season results in lower emissions than serving off- season demand which requires substantial storage and/or long-distance shipments from other growing regions.

Suggested Citation

  • Agatz, N.A.H. & Fleischmann, M., 2023. "Demand Management for Sustainable Supply Chain Operations," ERIM Report Series Research in Management ERS-2023-001-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.
    • Handle: RePEc:ems:eureri:137154
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/137154/ERS-2023-001-LIS.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vishal V. Agrawal & Mark Ferguson & L. Beril Toktay & Valerie M. Thomas, 2012. "Is Leasing Greener Than Selling?," Management Science, INFORMS, vol. 58(3), pages 523-533, March.
    2. Yildiz, Baris & Savelsbergh, Martin, 2020. "Pricing for delivery time flexibility," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 230-256.
    3. Chatwin, Richard E., 2000. "Optimal dynamic pricing of perishable products with stochastic demand and a finite set of prices," European Journal of Operational Research, Elsevier, vol. 125(1), pages 149-174, August.
    4. Hovelaque, Vincent & Bironneau, Laurent, 2015. "The carbon-constrained EOQ model with carbon emission dependent demand," International Journal of Production Economics, Elsevier, vol. 164(C), pages 285-291.
    5. Köhler, Charlotte & Ehmke, Jan Fabian & Campbell, Ann Melissa, 2020. "Flexible time window management for attended home deliveries," Omega, Elsevier, vol. 91(C).
    6. Cenying Yang & Yihao Feng & Andrew Whinston, 2022. "Dynamic Pricing and Information Disclosure for Fresh Produce: An Artificial Intelligence Approach," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 155-171, January.
    7. Cohen, Mark A. & Vandenbergh, Michael P., 2012. "The potential role of carbon labeling in a green economy," Energy Economics, Elsevier, vol. 34(S1), pages 53-63.
    8. Yenipazarli, A. & Vakharia, A., 2015. "Pricing, market coverage and capacity: Can green and brown products co-exist?," European Journal of Operational Research, Elsevier, vol. 242(1), pages 304-315.
    9. Ann Melissa Campbell & Martin W. P. Savelsbergh, 2005. "Decision Support for Consumer Direct Grocery Initiatives," Transportation Science, INFORMS, vol. 39(3), pages 313-327, August.
    10. Trevor Zink & Roland Geyer, 2017. "Circular Economy Rebound," Journal of Industrial Ecology, Yale University, vol. 21(3), pages 593-602, June.
    11. Xinan Yang & Arne K. Strauss & Christine S. M. Currie & Richard Eglese, 2016. "Choice-Based Demand Management and Vehicle Routing in E-Fulfillment," Transportation Science, INFORMS, vol. 50(2), pages 473-488, May.
    12. Hong, Xianpei & Xu, Lei & Du, Peng & Wang, Wenjuan, 2015. "Joint advertising, pricing and collection decisions in a closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 167(C), pages 12-22.
    13. Laurens G. Debo & L. Beril Toktay & Luk N. Van Wassenhove, 2005. "Market Segmentation and Product Technology Selection for Remanufacturable Products," Management Science, INFORMS, vol. 51(8), pages 1193-1205, August.
    14. Elena Belavina & Karan Girotra & Ashish Kabra, 2017. "Online Grocery Retail: Revenue Models and Environmental Impact," Management Science, INFORMS, vol. 63(6), pages 1781-1799, June.
    15. Bray, J. & De Silva Kanakaratne, M. & Dragouni, M. & Douglas, J., 2021. "Thinking inside the box: An empirical exploration of subscription retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    16. Thomas Kirschstein & Arne Heinold & Martin Behnke & Frank Meisel & Christian Bierwirth, 2022. "Eco‐labeling of freight transport services: Design, evaluation, and research directions," Journal of Industrial Ecology, Yale University, vol. 26(3), pages 801-814, June.
    17. Niels Agatz & Yingjie Fan & Daan Stam, 2021. "The Impact of Green Labels on Time Slot Choice and Operational Sustainability," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2285-2303, July.
    18. Klein, Robert & Koch, Sebastian & Steinhardt, Claudius & Strauss, Arne K., 2020. "A review of revenue management: Recent generalizations and advances in industry applications," European Journal of Operational Research, Elsevier, vol. 284(2), pages 397-412.
    19. Goutam Dutta & Krishnendranath Mitra, 2017. "A literature review on dynamic pricing of electricity," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(10), pages 1131-1145, October.
    20. V. Daniel R. Guide, Jr. & Ruud H. Teunter & Luk N. Van Wassenhove, 2003. "Matching Demand and Supply to Maximize Profits from Remanufacturing," Manufacturing & Service Operations Management, INFORMS, vol. 5(4), pages 303-316, October.
    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. Waßmuth, Katrin & Köhler, Charlotte & Agatz, Niels & Fleischmann, Moritz, 2023. "Demand management for attended home delivery—A literature review," European Journal of Operational Research, Elsevier, vol. 311(3), pages 801-815.
    2. Fleckenstein, David & Klein, Robert & Steinhardt, Claudius, 2023. "Recent advances in integrating demand management and vehicle routing: A methodological review," European Journal of Operational Research, Elsevier, vol. 306(2), pages 499-518.
    3. Abdollahi, Mohammad & Yang, Xinan & Nasri, Moncef Ilies & Fairbank, Michael, 2023. "Demand management in time-slotted last-mile delivery via dynamic routing with forecast orders," European Journal of Operational Research, Elsevier, vol. 309(2), pages 704-718.
    4. Koch, Sebastian & Klein, Robert, 2020. "Route-based approximate dynamic programming for dynamic pricing in attended home delivery," European Journal of Operational Research, Elsevier, vol. 287(2), pages 633-652.
    5. Avraham, Edison & Raviv, Tal, 2021. "The steady-state mobile personnel booking problem," Transportation Research Part B: Methodological, Elsevier, vol. 154(C), pages 266-288.
    6. Xiong, Yu & Zhou, Yu & Li, Gendao & Chan, Hing-Kai & Xiong, Zhongkai, 2013. "Don’t forget your supplier when remanufacturing," European Journal of Operational Research, Elsevier, vol. 230(1), pages 15-25.
    7. Liu, Zhuojun & Chen, Jing & Diallo, Claver, 2018. "Optimal production and pricing strategies for a remanufacturing firm," International Journal of Production Economics, Elsevier, vol. 204(C), pages 290-315.
    8. van der Hagen, L. & Agatz, N.A.H. & Spliet, R. & Visser, T.R. & Kok, A.L., 2022. "Machine Learning-Based Feasibility Checks for Dynamic Time Slot Management," ERIM Report Series Research in Management ERS-2022-001-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.
    9. Klein, Vienna & Steinhardt, Claudius, 2023. "Dynamic demand management and online tour planning for same-day delivery," European Journal of Operational Research, Elsevier, vol. 307(2), pages 860-886.
    10. Côté, Jean-François & Mansini, Renata & Raffaele, Alice, 2024. "Multi-period time window assignment for attended home delivery," European Journal of Operational Research, Elsevier, vol. 316(1), pages 295-309.
    11. Keskin, Merve & Branke, Juergen & Deineko, Vladimir & Strauss, Arne K., 2023. "Dynamic multi-period vehicle routing with touting," European Journal of Operational Research, Elsevier, vol. 310(1), pages 168-184.
    12. Jin, Minyue & Li, Baoyong & Xiong, Yu & Chakraborty, Ratula & Zhou, Yu, 2023. "Implications of coproduction technology on waste management: Who can benefit from the coproduct made of leftover materials?," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1248-1259.
    13. He, Peng & He, Yong & Xu, Henry, 2019. "Channel structure and pricing in a dual-channel closed-loop supply chain with government subsidy," International Journal of Production Economics, Elsevier, vol. 213(C), pages 108-123.
    14. Yalabik, Baris & Chhajed, Dilip & Petruzzi, Nicholas C., 2014. "Product and sales contract design in remanufacturing," International Journal of Production Economics, Elsevier, vol. 154(C), pages 299-312.
    15. Oyama, Yuki & Fukuda, Daisuke & Imura, Naoto & Nishinari, Katsuhiro, 2024. "Do people really want fast and precisely scheduled delivery? E-commerce customers' valuations of home delivery timing," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    16. Erzurumlu, S. Sinan, 2013. "The compatibility of durable goods with contingent generic consumables," Omega, Elsevier, vol. 41(3), pages 574-585.
    17. He, Dongdong & Guan, Wei, 2023. "Promoting service quality with incentive contracts in rural bus integrated passenger-freight service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    18. Deishin Lee, 2012. "Turning Waste into By-Product," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 115-127, January.
    19. Wu, Cheng-Han, 2015. "Strategic and operational decisions under sales competition and collection competition for end-of-use products in remanufacturing," International Journal of Production Economics, Elsevier, vol. 169(C), pages 11-20.
    20. Haider, Zulqarnain & Hu, Yujie & Charkhgard, Hadi & Himmelgreen, David & Kwon, Changhyun, 2022. "Creating grocery delivery hubs for food deserts at local convenience stores via spatial and temporal consolidation," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).

    More about this item

    Keywords

    supply chain management; SCM; demand management; sustainability; supply chain operations;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ems:eureri:137154. 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: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/erimanl.html .

    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.