IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v183y2017ipbp458-469.html
   My bibliography  Save this article

Resolving forward-reverse logistics multi-period model using evolutionary algorithms

Author

Listed:
  • Kumar, V.N.S.A.
  • Kumar, V.
  • Brady, M.
  • Garza-Reyes, Jose Arturo
  • Simpson, M.

Abstract

In the changing competitive landscape and with growing environmental awareness, reverse logistics issues have become prominent in manufacturing organizations. As a result there is an increasing focus on green aspects of the supply chain to reduce environmental impacts and ensure environmental efficiency. This is largely driven by changes made in government rules and regulations with which organizations must comply in order to successfully operate in different regions of the world. Therefore, manufacturing organizations are striving hard to implement environmentally efficient supply chains while simultaneously maximizing their profit to compete in the market. To address the issue, this research studies a forward-reverse logistics model. This paper puts forward a model of a multi-period, multi-echelon, vehicle routing, forward-reverse logistics system. The network considered in the model assumes a fixed number of suppliers, facilities, distributors, customer zones, disassembly locations, re-distributors and second customer zones. The demand levels at customer zones are assumed to be deterministic. The objective of the paper is to maximize the total expected profit and also to obtain an efficient route for the vehicle corresponding to an optimal/near optimal solution. The proposed model is resolved using Artificial Immune System (AIS) and Particle Swarm Optimization (PSO) algorithms. The findings show that for the considered model, AIS works better than the PSO. This information is important for a manufacturing organization engaged in reverse logistics programs and in running units efficiently. This paper also contributes to the limited literature on reverse logistics that considers costs and profit as well as vehicle route management.

Suggested Citation

  • Kumar, V.N.S.A. & Kumar, V. & Brady, M. & Garza-Reyes, Jose Arturo & Simpson, M., 2017. "Resolving forward-reverse logistics multi-period model using evolutionary algorithms," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 458-469.
    • Handle: RePEc:eee:proeco:v:183:y:2017:i:pb:p:458-469
    DOI: 10.1016/j.ijpe.2016.04.026
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527316300688
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2016.04.026?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. de la Fuente, M. Victoria & Ros, Lorenzo & Cardos, Manuel, 2008. "Integrating Forward and Reverse Supply Chains: Application to a metal-mechanic company," International Journal of Production Economics, Elsevier, vol. 111(2), pages 782-792, February.
    2. Ubeda, S. & Arcelus, F.J. & Faulin, J., 2011. "Green logistics at Eroski: A case study," International Journal of Production Economics, Elsevier, vol. 131(1), pages 44-51, May.
    3. Choudhary, Alok & Sarkar, Sagar & Settur, Srikar & Tiwari, M.K., 2015. "A carbon market sensitive optimization model for integrated forward–reverse logistics," International Journal of Production Economics, Elsevier, vol. 164(C), pages 433-444.
    4. Brix-Asala, Carolin & Hahn, Rüdiger & Seuring, Stefan, 2016. "Reverse logistics and informal valorisation at the Base of the Pyramid: A case study on sustainability synergies and trade-offs," European Management Journal, Elsevier, vol. 34(4), pages 414-423.
    5. Li, Suhong & Ragu-Nathan, Bhanu & Ragu-Nathan, T.S. & Subba Rao, S., 2006. "The impact of supply chain management practices on competitive advantage and organizational performance," Omega, Elsevier, vol. 34(2), pages 107-124, April.
    6. Li, Tian & Zhang, Hongtao, 2015. "Information sharing in a supply chain with a make-to-stock manufacturer," Omega, Elsevier, vol. 50(C), pages 115-125.
    7. Jabbour, Charbel José Chiappetta & Neto, Angelo Saturnino & Gobbo, José Alcides & Ribeiro, Maisa de Souza & Jabbour, Ana Beatriz Lopes de Sousa, 2015. "“Eco-innovations in more sustainable supply chains for a low-carbon economy: A multiple case study of human critical success factors in Brazilian leading companies”," International Journal of Production Economics, Elsevier, vol. 164(C), pages 245-257.
    8. Chiang, Tsung-Che & Lin, Hsiao-Jou, 2013. "A simple and effective evolutionary algorithm for multiobjective flexible job shop scheduling," International Journal of Production Economics, Elsevier, vol. 141(1), pages 87-98.
    9. Ji-Su Kim & Dong-Ho Lee, 2015. "An integrated approach for collection network design, capacity planning and vehicle routing in reverse logistics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(1), pages 76-85, January.
    10. Soysal, Mehmet & Bloemhof-Ruwaard, Jacqueline M. & Haijema, Rene & van der Vorst, Jack G.A.J., 2015. "Modeling an Inventory Routing Problem for perishable products with environmental considerations and demand uncertainty," International Journal of Production Economics, Elsevier, vol. 164(C), pages 118-133.
    11. Thomas Johnsen, 2011. "Supply network delegation and intervention strategies during supplier involvement in new product development," Post-Print hal-00771835, HAL.
    12. Pettersson, Annelie I. & Segerstedt, Anders, 2013. "Measuring supply chain cost," International Journal of Production Economics, Elsevier, vol. 143(2), pages 357-363.
    13. Dadhich, P. & Genovese, A. & Kumar, N. & Acquaye, A., 2015. "Developing sustainable supply chains in the UK construction industry: A case study," International Journal of Production Economics, Elsevier, vol. 164(C), pages 271-284.
    14. Wang, Xiaojun & Chan, Hing Kai & Yee, Rachel W.Y. & Diaz-Rainey, Ivan, 2012. "A two-stage fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain," International Journal of Production Economics, Elsevier, vol. 135(2), pages 595-606.
    15. Amini, M. Mehdi & Retzlaff-Roberts, Donna & Bienstock, Carol C., 2005. "Designing a reverse logistics operation for short cycle time repair services," International Journal of Production Economics, Elsevier, vol. 96(3), pages 367-380, June.
    16. Shad Dowlatshahi, 2000. "Developing a Theory of Reverse Logistics," Interfaces, INFORMS, vol. 30(3), pages 143-155, June.
    17. Hassini, Elkafi & Surti, Chirag & Searcy, Cory, 2012. "A literature review and a case study of sustainable supply chains with a focus on metrics," International Journal of Production Economics, Elsevier, vol. 140(1), pages 69-82.
    18. Tiwari, Anurag & Chang, Pei-Chann, 2015. "A block recombination approach to solve green vehicle routing problem," International Journal of Production Economics, Elsevier, vol. 164(C), pages 379-387.
    19. Zhu, Qinghua & Sarkis, Joseph & Lai, Kee-hung, 2008. "Confirmation of a measurement model for green supply chain management practices implementation," International Journal of Production Economics, Elsevier, vol. 111(2), pages 261-273, February.
    20. Abdulrahman, Muhammad D. & Gunasekaran, Angappa & Subramanian, Nachiappan, 2014. "Critical barriers in implementing reverse logistics in the Chinese manufacturing sectors," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 460-471.
    21. Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.
    22. García-Rodríguez, Francisco J. & Castilla-Gutiérrez, Carlos & Bustos-Flores, Carlos, 2013. "Implementation of reverse logistics as a sustainable tool for raw material purchasing in developing countries: The case of Venezuela," International Journal of Production Economics, Elsevier, vol. 141(2), pages 582-592.
    23. Gheidar Kheljani, J. & Ghodsypour, S.H. & O'Brien, C., 2009. "Optimizing whole supply chain benefit versus buyer's benefit through supplier selection," International Journal of Production Economics, Elsevier, vol. 121(2), pages 482-493, October.
    24. V. Kumar & D. Holt & A. Ghobadian & J.A. Garza-Reyes, 2015. "Developing green supply chain management taxonomy-based decision support system," International Journal of Production Research, Taylor & Francis Journals, vol. 53(21), pages 6372-6389, November.
    25. Lee, Peter K.C. & Yeung, Andy C.L. & Edwin Cheng, T.C., 2009. "Supplier alliances and environmental uncertainty: An empirical study," International Journal of Production Economics, Elsevier, vol. 120(1), pages 190-204, July.
    26. Joseph Sarkis & Marilyn Michelle Helms & Aref A. Hervani, 2010. "Reverse logistics and social sustainability," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 17(6), pages 337-354, November.
    27. Moslehi, Ghasem & Mahnam, Mehdi, 2011. "A Pareto approach to multi-objective flexible job-shop scheduling problem using particle swarm optimization and local search," International Journal of Production Economics, Elsevier, vol. 129(1), pages 14-22, January.
    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. Taniya Mukherjee & Isha Sangal & Biswajit Sarkar & Qais Almaamari & Tamer M. Alkadash, 2023. "How Effective Is Reverse Cross-Docking and Carbon Policies in Controlling Carbon Emission from the Fashion Industry?," Mathematics, MDPI, vol. 11(13), pages 1-25, June.
    2. Tosarkani, Babak Mohamadpour & Amin, Saman Hassanzadeh & Zolfagharinia, Hossein, 2020. "A scenario-based robust possibilistic model for a multi-objective electronic reverse logistics network," International Journal of Production Economics, Elsevier, vol. 224(C).
    3. Navid Zarbakhshnia & Devika Kannan & Reza Kiani Mavi & Hamed Soleimani, 2020. "A novel sustainable multi-objective optimization model for forward and reverse logistics system under demand uncertainty," Annals of Operations Research, Springer, vol. 295(2), pages 843-880, December.
    4. Ahmed Dabees & Mahmoud Barakat & Sahar Sobhy Elbarky & Andrej Lisec, 2023. "A Framework for Adopting a Sustainable Reverse Logistics Service Quality for Reverse Logistics Service Providers: A Systematic Literature Review," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    5. Željko Stević & Ilija Tanackov & Adis Puška & Goran Jovanov & Jovica Vasiljević & Darko Lojaničić, 2021. "Development of Modified SERVQUAL–MCDM Model for Quality Determination in Reverse Logistics," Sustainability, MDPI, vol. 13(10), pages 1-17, May.
    6. Prajapati, Dhirendra & Pratap, Saurabh & Zhang, Mengdi & Lakshay, & Huang, George Q., 2022. "Sustainable forward-reverse logistics for multi-product delivery and pickup in B2C E-commerce towards the circular economy," International Journal of Production Economics, Elsevier, vol. 253(C).

    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. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2015. "A literature review and perspectives in reverse logistics," Resources, Conservation & Recycling, Elsevier, vol. 97(C), pages 76-92.
    2. Pokharel, Shaligram & Mutha, Akshay, 2009. "Perspectives in reverse logistics: A review," Resources, Conservation & Recycling, Elsevier, vol. 53(4), pages 175-182.
    3. Mohsin Malik & Salam Abdallah, 2019. "Sustainability Initiatives in Emerging Economies: A Socio-Cultural Perspective," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
    4. Asghari, Mohammad & Mirzapour Al-e-hashem, S. Mohammad J., 2021. "Green vehicle routing problem: A state-of-the-art review," International Journal of Production Economics, Elsevier, vol. 231(C).
    5. Ozden Tozanli & Gazi Murat Duman & Elif Kongar & Surendra M. Gupta, 2017. "Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey," Logistics, MDPI, vol. 1(1), pages 1-42, June.
    6. Mohammed Alkahtani & Aiman Ziout & Bashir Salah & Moath Alatefi & Abd Elatty E. Abd Elgawad & Ahmed Badwelan & Umar Syarif, 2021. "An Insight into Reverse Logistics with a Focus on Collection Systems," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    7. Olga Lingaitienė & Aurelija Burinskienė & Vida Davidavičienė, 2022. "Case Study of Municipal Waste and Its Reliance on Reverse Logistics in European Countries," Sustainability, MDPI, vol. 14(3), pages 1-24, February.
    8. Wei Shan & Jingyi Wang, 2018. "Mapping the Landscape and Evolutions of Green Supply Chain Management," Sustainability, MDPI, vol. 10(3), pages 1-23, February.
    9. Dayal S. Prasad & Rudra P. Pradhan & Kunal Gaurav & Partha P. Chatterjee & Inderpal Kaur & Saurav Dash & Sagar Nayak, 2018. "Analysing the critical success factors for implementation of sustainable supply chain management: an Indian case study," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 45(1), pages 3-25, March.
    10. Fahimeh Aliakbari Nouri & Mohsen Shafiei Nikabadi & Laya Olfat, 2019. "The Role of Supply Chain Features in the Effectiveness of Sustainability Practices in the Service Supply Chain: Application of Fuzzy Rule-Based System," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 867-899, May.
    11. Ramanathan, Usha & He, Qile & Subramanian, Nachiappan & Gunasekaran, Angappa & Sarpong, David, 2023. "Collaborative closed-loop supply chain framework for sustainable manufacturing: Evidence from the Indian packaging industry," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    12. Chandra Prakash Garg, 2020. "A robust hybrid decision model to evaluate critical factors of reverse logistics implementation using Grey-DEMATEL framework," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 837-873, September.
    13. Sadaat Ali Yawar & Stefan Seuring, 2017. "Management of Social Issues in Supply Chains: A Literature Review Exploring Social Issues, Actions and Performance Outcomes," Journal of Business Ethics, Springer, vol. 141(3), pages 621-643, March.
    14. Mohammad Asghari & Seyed Mohammad Javad Mirzapour Al-E-Hashem, 2021. "Green vehicle routing problem: A state-of-the-art review," Post-Print hal-03182944, HAL.
    15. Eleonora Bottani & Maria Carmen Gentilotti & Marta Rinaldi, 2017. "A Fuzzy Logic-Based Tool for the Assessment of Corporate Sustainability: A Case Study in the Food Machinery Industry," Sustainability, MDPI, vol. 9(4), pages 1-29, April.
    16. Prakash, Chandra & Barua, M.K., 2016. "An analysis of integrated robust hybrid model for third-party reverse logistics partner selection under fuzzy environment," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 63-81.
    17. Govindan, Kannan & Soleimani, Hamed & Kannan, Devika, 2015. "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, Elsevier, vol. 240(3), pages 603-626.
    18. Tamoor Azam & Songjiang Wang & Muhammad Mohsin & Muhammad Nazam & Muhammad Hashim & Sajjad Ahmad Baig & Muhammad Zia-ur-Rehman, 2021. "Does Stakeholder Pressure Matters in Adopting Sustainable Supply Chain Initiatives? Insights from Agro-Based Processing Industry," Sustainability, MDPI, vol. 13(13), pages 1-30, June.
    19. Huo, Baofeng & Gu, Minhao & Jiang, Bin, 2018. "China-related POM research: Literature review and suggestions for future research," International Journal of Production Economics, Elsevier, vol. 203(C), pages 134-153.
    20. Dobos, Imre & Vörösmarty, Gyöngyi, 2014. "Green supplier selection and evaluation using DEA-type composite indicators," International Journal of Production Economics, Elsevier, vol. 157(C), pages 273-278.

    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:eee:proeco:v:183:y:2017:i:pb:p:458-469. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.