IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v7y2016i4d10.1007_s13198-016-0486-3.html
   My bibliography  Save this article

An optimization model for sustainable solutions towards implementation of reverse logistics under collaborative framework

Author

Listed:
  • Vernika Agarwal

    (University of Delhi)

  • Kannan Govindan

    (University of Southern Denmark)

  • Jyoti Dhingra Darbari

    (University of Delhi)

  • P. C. Jha

    (University of Delhi)

Abstract

Enforced Legislations, social image, corporate citizenship and market competence are forcing manufacturing enterprises (MEs) to incorporate reverse logistics (RL) into their supply chains. RL can be used as a strategic tool to gain customer loyalty and reduce operational costs by maximizing recovery from used products. MEs face many issues which hinder successful implementation of RL such as lack of government support, financial limitations, capabilities and facilities, and market constraints. The situation is worse in case of MEs in developing countries and hence the collaboration of all its stakeholders is essential for handling the issue. Some earlier studies focused on investigating these issues and their solutions from company’s perspective without considering the role of the channel partners . To overcome this gap, this study proposes a collaborative framework for MEs which includes identifying the sustainable solutions for implementation of RL, prioritizing the solutions as per their importance and designing and optimizing a RL network based on the most important solutions identified. Decision Making Trial and Evaluation Laboratory (DEMATEL) approach is employed to understand the mutual relationships among the solutions and extract the most imperative solutions. The paper presents a linear programming problem for the RL network developed under a collaborative framework which aims to maximize the total sustainable impact in the planning horizon. The focus of the study is to optimally utilize the profit accrued from the returned products to generate funds for the NGO and company employees. A numerical illustration of the Indian electronic and electrical industry is presented to validate the proposed study.

Suggested Citation

  • Vernika Agarwal & Kannan Govindan & Jyoti Dhingra Darbari & P. C. Jha, 2016. "An optimization model for sustainable solutions towards implementation of reverse logistics under collaborative framework," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(4), pages 480-487, December.
    • Handle: RePEc:spr:ijsaem:v:7:y:2016:i:4:d:10.1007_s13198-016-0486-3
    DOI: 10.1007/s13198-016-0486-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-016-0486-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-016-0486-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Govindan, Kannan & Chaudhuri, Atanu, 2016. "Interrelationships of risks faced by third party logistics service providers: A DEMATEL based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 177-195.
    2. Srivastava, Samir K., 2008. "Network design for reverse logistics," Omega, Elsevier, vol. 36(4), pages 535-548, August.
    3. Davood Kiakojuri & Shahaboddin Shamshirband & Nor Anuar & Johari Abdullah, 2015. "Analysis of the social capital indicators by using DEMATEL approach: the case of Islamic Azad University," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(5), pages 1985-1995, September.
    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. Kannan Govindan & Vernika Agarwal & Jyoti Dhingra Darbari & P. C. Jha, 2019. "An integrated decision making model for the selection of sustainable forward and reverse logistic providers," Annals of Operations Research, Springer, vol. 273(1), pages 607-650, February.
    2. Muhammad Hamza Naseem & Jiaqi Yang & Ziquan Xiang, 2021. "Prioritizing the Solutions to Reverse Logistics Barriers for the E-Commerce Industry in Pakistan Based on a Fuzzy AHP-TOPSIS Approach," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
    3. Rui Ren & Wanjie Hu & Jianjun Dong & Bo Sun & Yicun Chen & Zhilong Chen, 2019. "A Systematic Literature Review of Green and Sustainable Logistics: Bibliometric Analysis, Research Trend and Knowledge Taxonomy," IJERPH, MDPI, vol. 17(1), pages 1-25, December.
    4. Anshu Gupta & Pallavi Sharma & Akansha Jain & Hongbo Xue & S. C. Malik & P. C. Jha, 2023. "An integrated DEMATEL Six Sigma hybrid framework for manufacturing process improvement," Annals of Operations Research, Springer, vol. 322(2), pages 713-753, March.
    5. Yongbo Li & Devika Kannan & P. C. Jha & Kiran Garg & Jyoti Darbari & Neha Agarwal, 2023. "Design of a multi echelon product recovery embeded reverse logistics network for multi products and multi periods," Annals of Operations Research, Springer, vol. 323(1), pages 131-152, April.

    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. Schweiger, Katharina & Sahamie, Ramin, 2013. "A hybrid Tabu Search approach for the design of a paper recycling network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 98-119.
    2. Tim Gruchmann & Nadine Pratt & Jan Eiten & Ani Melkonyan, 2020. "4PL Digital Business Models in Sea Freight Logistics: The Case of FreightHub," Logistics, MDPI, vol. 4(2), pages 1-14, May.
    3. Zhiguo Wang & Lufei Huang & Cici Xiao He, 2021. "A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 785-812, November.
    4. Chung, Sung H. & Weaver, Robert D. & Friesz, Terry L., 2013. "Strategic response to pollution taxes in supply chain networks: Dynamic, spatial, and organizational dimensions," European Journal of Operational Research, Elsevier, vol. 231(2), pages 314-327.
    5. Xuejie Bai & Yankui Liu, 2016. "Robust optimization of supply chain network design in fuzzy decision system," Journal of Intelligent Manufacturing, Springer, vol. 27(6), pages 1131-1149, December.
    6. Seles, Bruno Michel Roman Pais & de Sousa Jabbour, Ana Beatriz Lopes & Jabbour, Charbel José Chiappetta & Dangelico, Rosa Maria, 2016. "The green bullwhip effect, the diffusion of green supply chain practices, and institutional pressures: Evidence from the automotive sector," International Journal of Production Economics, Elsevier, vol. 182(C), pages 342-355.
    7. Luyi Gui & Atalay Atasu & Özlem Ergun & L. Beril Toktay, 2016. "Efficient Implementation of Collective Extended Producer Responsibility Legislation," Management Science, INFORMS, vol. 62(4), pages 1098-1123, April.
    8. Junwei Gan & Li Luo, 2017. "Using DEMATEL and Intuitionistic Fuzzy Sets to Identify Critical Factors Influencing the Recycling Rate of End-Of-Life Vehicles in China," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    9. Overholts II, Dale L. & Bell, John E. & Arostegui, Marvin A., 2009. "A location analysis approach for military maintenance scheduling with geographically dispersed service areas," Omega, Elsevier, vol. 37(4), pages 838-852, August.
    10. Shen, Bin & Xu, Xiaoyan & Guo, Shu, 2019. "The impacts of logistics services on short life cycle products in a global supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 153-167.
    11. Suzanne, Elodie & Absi, Nabil & Borodin, Valeria, 2020. "Towards circular economy in production planning: Challenges and opportunities," European Journal of Operational Research, Elsevier, vol. 287(1), pages 168-190.
    12. Pani, Agnivesh & Mishra, Sabya & Sahu, Prasanta, 2022. "Developing multi-vehicle freight trip generation models quantifying the relationship between logistics outsourcing and insourcing decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    13. Wongthatsanekorn, Wuthichai & Realff, Matthew J. & Ammons, Jane C., 2010. "Multi-time scale Markov decision process approach to strategic network growth of reverse supply chains," Omega, Elsevier, vol. 38(1-2), pages 20-32, February.
    14. Lo, Huai-Wei & Liou, James J.H. & Huang, Chun-Nen & Chuang, Yen-Ching & Tzeng, Gwo-Hshiung, 2020. "A new soft computing approach for analyzing the influential relationships of critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
    15. Chao Chen & Shenle Pan & Zhu Wang & Ray Y. Zhong, 2017. "Using taxis to collect citywide E-commerce reverse flows: a crowdsourcing solution," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1833-1844, April.
    16. Li, Ying & Shou, Yongyi & Ding, Ronggui & Sun, Tao & Zhou, Qing, 2019. "Governing local sourcing practices of overseas projects for the Belt and Road Initiative: A framework and evaluation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 212-226.
    17. Venkatesh, V.G. & Zhang, Abraham & Deakins, Eric & Mani, Venkatesh, 2021. "Antecedents of social sustainability noncompliance in the Indian apparel sector," International Journal of Production Economics, Elsevier, vol. 234(C).
    18. Shafiee, Mohammad & Zare-Mehrjerdi, Yahia & Govindan, Kannan & Dastgoshade, Sohaib, 2022. "A causality analysis of risks to perishable product supply chain networks during the COVID-19 outbreak era: An extended DEMATEL method under Pythagorean fuzzy environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    19. Pei-Hsuan Tsai & Chih-Jou Chen & Ho-Chin Yang, 2021. "Using Porter’s Diamond Model to Assess the Competitiveness of Taiwan’s Solar Photovoltaic Industry," SAGE Open, , vol. 11(1), pages 21582440209, January.
    20. Fahimnia, Behnam & Sarkis, Joseph & Eshragh, Ali, 2015. "A tradeoff model for green supply chain planning:A leanness-versus-greenness analysis," Omega, Elsevier, vol. 54(C), pages 173-190.

    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:spr:ijsaem:v:7:y:2016:i:4:d:10.1007_s13198-016-0486-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.