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Destruction Decisions for Managing Excess Inventory in E-Commerce Logistics

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  • Pourya Pourhejazy

    (Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan)

Abstract

The Internet has brought about new possibilities for innovation and radically changed business activities. Internet shopping is a prime example of increasing popularity, which is exacerbated due to the recent pandemic. It is expected that e-commerce will accommodate more than a quarter of the total retail sales worldwide in the next few years. Given the characteristics of e-commerce, inventory management is of paramount importance for an effective and timely response to the online customers’ demand. Despite its relevance, the issue of warehouse excess inventory is not sufficiently studied in the operations management literature. This study explores the factors, including sustainability and strategic considerations, that influence the inventory destruction decisions as one of the alternatives for managing excess inventory. Applying the Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, the interrelationships between the decision factors are investigated and the decisive considerations are identified. Overall, the outcomes provide insights for the e-commerce practitioners and offer directions for modeling and managing inventory destruction decisions.

Suggested Citation

  • Pourya Pourhejazy, 2020. "Destruction Decisions for Managing Excess Inventory in E-Commerce Logistics," Sustainability, MDPI, vol. 12(20), pages 1-12, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8365-:d:426442
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    1. 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.
    2. Rauyruen, Papassapa & Miller, Kenneth E., 2007. "Relationship quality as a predictor of B2B customer loyalty," Journal of Business Research, Elsevier, vol. 60(1), pages 21-31, January.
    3. Oliver Hinz & Jochen Eckert, 2010. "The Impact of Search and Recommendation Systems on Sales in Electronic Commerce," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(2), pages 67-77, April.
    4. Peter Dannenberg & Martina Fuchs & Tim Riedler & Cathrin Wiedemann, 2020. "Digital Transition by COVID‐19 Pandemic? The German Food Online Retail," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(3), pages 543-560, July.
    5. Mochen Yang & Gediminas Adomavicius & Alok Gupta, 2019. "Efficient Computational Strategies for Dynamic Inventory Liquidation," Information Systems Research, INFORMS, vol. 30(2), pages 595-615, June.
    6. 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.
    7. Maxim A Bushuev & Alfred Guiffrida & M. Y. Jaber & Mehmood Khan, 2015. "A review of inventory lot sizing review papers," Management Research Review, Emerald Group Publishing Limited, vol. 38(3), pages 283-298, March.
    8. Nan Yang & Renyu Zhang, 2014. "Dynamic Pricing and Inventory Management Under Inventory-Dependent Demand," Operations Research, INFORMS, vol. 62(5), pages 1077-1094, October.
    9. Boysen, Nils & de Koster, René & Weidinger, Felix, 2019. "Warehousing in the e-commerce era: A survey," European Journal of Operational Research, Elsevier, vol. 277(2), pages 396-411.
    10. Lingxiu Dong & Panos Kouvelis & Zhongjun Tian, 2009. "Dynamic Pricing and Inventory Control of Substitute Products," Manufacturing & Service Operations Management, INFORMS, vol. 11(2), pages 317-339, December.
    11. Riccardo Patriarca & Tianya Hu & Francesco Costantino & Giulio Di Gravio & Massimo Tronci, 2019. "A System-Approach for Recoverable Spare Parts Management Using the Discrete Weibull Distribution," Sustainability, MDPI, vol. 11(19), pages 1-15, September.
    12. Jing-Sheng Song & Geert-Jan van Houtum & Jan A. Van Mieghem, 2020. "Capacity and Inventory Management: Review, Trends, and Projections," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 36-46, January.
    13. Jan Stentoft & Ole Stegman Mikkelsen & Jesper Kronborg Jensen, 2016. "Flexicurity and relocation of manufacturing," Operations Management Research, Springer, vol. 9(3), pages 133-144, December.
    14. Qingyun Zhu & Purvi Shah & Joseph Sarkis, 2020. "A paler shade of green: implications of green product deletion on supply chains," International Journal of Production Research, Taylor & Francis Journals, vol. 58(15), pages 4567-4588, July.
    15. Craig C. Sherbrooke, 1968. "Metric: A Multi-Echelon Technique for Recoverable Item Control," Operations Research, INFORMS, vol. 16(1), pages 122-141, February.
    16. Bikhchandani, Sushil & Mamer, John W., 1993. "A duopoly model of pricing for inventory liquidation," European Journal of Operational Research, Elsevier, vol. 69(2), pages 177-186, September.
    17. Gounaris, Spiros P., 2005. "Trust and commitment influences on customer retention: insights from business-to-business services," Journal of Business Research, Elsevier, vol. 58(2), pages 126-140, February.
    18. Adam Fleischhacker & Anh Ninh & Yao Zhao, 2015. "Positioning Inventory in Clinical Trial Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 24(6), pages 991-1011, June.
    19. Pourya Pourhejazy & Oh Kyoung Kwon & Young-Tae Chang & Hyosoo (Kevin) Park, 2017. "Evaluating Resiliency of Supply Chain Network: A Data Envelopment Analysis Approach," Sustainability, MDPI, vol. 9(2), pages 1-19, February.
    20. Xiaoyan Zhu & Sila Cetinkaya, 2015. "A stochastic inventory model for an immediate liquidation and price-promotion decision under price-dependent demand," International Journal of Production Research, Taylor & Francis Journals, vol. 53(12), pages 3789-3809, June.
    21. Boysen, Nils & de Koster, René & Weidinger, Felix, 2019. "Warehousing in the e-commerce era: A survey," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 126185, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

    1. Carmen Adina Paștiu & Ionica Oncioiu & Daniel Adrian Gârdan & Silvia Ștefania Maican & Iuliana Petronela Gârdan & Andreea Cipriana Muntean, 2020. "The Perspective of E-Business Sustainability and Website Accessibility of Online Stores," Sustainability, MDPI, vol. 12(22), pages 1-16, November.
    2. Pourya Pourhejazy & Alison Ashby, 2021. "Reshoring Decisions for Adjusting Supply Chains in a Changing World: A Case Study from the Apparel Industry," IJERPH, MDPI, vol. 18(9), pages 1-13, May.
    3. Pourhejazy, Pourya & Zhang, Dali & Zhu, Qinghua & Wei, Fangfang & Song, Shuang, 2021. "Integrated E-waste transportation using capacitated general routing problem with time-window," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    4. Erik Schulze-González & Juan-Pascual Pastor-Ferrando & Pablo Aragonés-Beltrán, 2021. "Testing a Recent DEMATEL-Based Proposal to Simplify the Use of ANP," Mathematics, MDPI, vol. 9(14), pages 1-23, July.
    5. Nesrin Ada & Manavalan Ethirajan & Anil Kumar & Vimal K.E.K & Simon Peter Nadeem & Yigit Kazancoglu & Jayakrishna Kandasamy, 2021. "Blockchain Technology for Enhancing Traceability and Efficiency in Automobile Supply Chain—A Case Study," Sustainability, MDPI, vol. 13(24), pages 1-21, December.
    6. Giammanco, Maria Daniela & Gitto, Lara, 2020. "Government measures and economic activity during the COVID-19 outbreak: some preliminary short-term evidence from Europe," MPRA Paper 105072, University Library of Munich, Germany.
    7. Abdul Aziz Khan Niazi & Tehmina Fiaz Qazi & Maryam Aziz & Abdul Basit & Ifra Aziz Khan Niazi, 2023. "Using the Binary Matrices for Modeling the Supply Chain Issues of Virtual Shops: An Evidence from Pakistan," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(2), pages 548-564.
    8. Yugang He & Renhong Wu & Yong-Jae Choi, 2021. "International Logistics and Cross-Border E-Commerce Trade: Who Matters Whom?," Sustainability, MDPI, vol. 13(4), pages 1-20, February.

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