IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v195y2009i3p676-700.html
   My bibliography  Save this article

A web-based decision support system for waste lube oils collection and recycling

Author

Listed:
  • Repoussis, P.P.
  • Paraskevopoulos, D.C.
  • Zobolas, G.
  • Tarantilis, C.D.
  • Ioannou, G.

Abstract

This paper presents a web-based decision support system (DSS) that enables schedulers to tackle reverse supply chain management problems interactively. The focus is on the efficient and effective management of waste lube oils collection and recycling operations. The emphasis is given on the systemic dimensions and modular architecture of the proposed DSS. The latter incorporates intra- and inter-city vehicle routing with real-life operational constraints using shortest path and sophisticated hybrid metaheuristic algorithms. It is also integrated with an Enterprise Resource Planning system allowing the utilization of particular functional modules and the combination with other peripheral planning tools. Furthermore, the proposed DSS provides a framework for on-line monitoring and reporting to all stages of the waste collection processes. The system is developed using a web architecture that enables sharing of information and algorithms among multiple sites, along with wireless telecommunication facilities. The application to an industrial environment showed improved productivity and competitiveness, indicating its applicability on realistic reverse logistical planning problems.

Suggested Citation

  • Repoussis, P.P. & Paraskevopoulos, D.C. & Zobolas, G. & Tarantilis, C.D. & Ioannou, G., 2009. "A web-based decision support system for waste lube oils collection and recycling," European Journal of Operational Research, Elsevier, vol. 195(3), pages 676-700, June.
    • Handle: RePEc:eee:ejores:v:195:y:2009:i:3:p:676-700
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(07)01081-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Sambracos, E. & Paravantis, J. A. & Tarantilis, C. D. & Kiranoudis, C. T., 2004. "Dispatching of small containers via coastal freight liners: The case of the Aegean Sea," European Journal of Operational Research, Elsevier, vol. 152(2), pages 365-381, January.
    2. Ruiz, Ruben & Maroto, Concepcion & Alcaraz, Javier, 2004. "A decision support system for a real vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 153(3), pages 593-606, March.
    3. Tarantilis, C. D. & Diakoulaki, D. & Kiranoudis, C. T., 2004. "Combination of geographical information system and efficient routing algorithms for real life distribution operations," European Journal of Operational Research, Elsevier, vol. 152(2), pages 437-453, January.
    4. Tarantilis, C.D. & Kiranoudis, C.T. & Theodorakopoulos, N.D., 2008. "A Web-based ERP system for business services and supply chain management: Application to real-world process scheduling," European Journal of Operational Research, Elsevier, vol. 187(3), pages 1310-1326, June.
    5. 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.
    6. Tarantilis, C.D. & Kiranoudis, C.T., 2007. "A flexible adaptive memory-based algorithm for real-life transportation operations: Two case studies from dairy and construction sector," European Journal of Operational Research, Elsevier, vol. 179(3), pages 806-822, June.
    7. Parlar, Mahmut & Perry, David, 1995. "Analysis of a (Q, r, T) inventory policy with deterministic and random yields when future supply is uncertain," European Journal of Operational Research, Elsevier, vol. 84(2), pages 431-443, July.
    8. Tarantilis, C. D. & Kiranoudis, C. T. & Vassiliadis, V. S., 2004. "A threshold accepting metaheuristic for the heterogeneous fixed fleet vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 152(1), pages 148-158, January.
    9. Don Weigel & Buyang Cao, 1999. "Applying GIS and OR Techniques to Solve Sears Technician-Dispatching and Home Delivery Problems," Interfaces, INFORMS, vol. 29(1), pages 112-130, February.
    10. Teixeira, Joao & Antunes, Antonio Pais & de Sousa, Jorge Pinho, 2004. "Recyclable waste collection planning--a case study," European Journal of Operational Research, Elsevier, vol. 158(3), pages 543-554, November.
    11. de Brito, M.P. & Flapper, S.D.P. & Dekker, R., 2002. "Reverse logistics," Econometric Institute Research Papers EI 2002-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Hu, Tung-Lai & Sheu, Jiuh-Biing & Huang, Kuan-Hsiung, 2002. "A reverse logistics cost minimization model for the treatment of hazardous wastes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(6), pages 457-473, November.
    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. Liu, Ran & Jiang, Zhibin, 2012. "The close–open mixed vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 220(2), pages 349-360.
    2. Aksen, Deniz & Kaya, Onur & Sibel Salman, F. & Tüncel, Özge, 2014. "An adaptive large neighborhood search algorithm for a selective and periodic inventory routing problem," European Journal of Operational Research, Elsevier, vol. 239(2), pages 413-426.
    3. Yong Xie & Hongwei Wang, 2014. "A Group Cooperative Decision Support System Based on Extended Contract Net," Group Decision and Negotiation, Springer, vol. 23(5), pages 1191-1217, September.
    4. Zhang, Abraham & Wang, Jason X. & Farooque, Muhammad & Wang, Yulan & Choi, Tsan-Ming, 2021. "Multi-dimensional circular supply chain management: A comparative review of the state-of-the-art practices and research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    5. Gunasekaran, Angappa & Ngai, Eric W.T., 2012. "The future of operations management: An outlook and analysis," International Journal of Production Economics, Elsevier, vol. 135(2), pages 687-701.
    6. Gamberini, Rita & Gebennini, Elisa & Manzini, Riccardo & Ziveri, Andrea, 2010. "On the integration of planning and environmental impact assessment for a WEEE transportation network—A case study," Resources, Conservation & Recycling, Elsevier, vol. 54(11), pages 937-951.
    7. Olmez, Omer Berk & Gultekin, Ceren & Balcik, Burcu & Ekici, Ali & Özener, Okan Örsan, 2022. "A variable neighborhood search based matheuristic for a waste cooking oil collection network design problem," European Journal of Operational Research, Elsevier, vol. 302(1), pages 187-202.
    8. Guo, Xiaolong & Li, Xiansen & Bian, Junsong & Yang, Chenchen, 2023. "Deposit or reward: Express packaging recycling for online retailing platforms," Omega, Elsevier, vol. 117(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. Abdelkader Sbihi & Richard Eglese, 2010. "Combinatorial optimization and Green Logistics," Annals of Operations Research, Springer, vol. 175(1), pages 159-175, March.
    2. Srivastava, Samir K., 2008. "Network design for reverse logistics," Omega, Elsevier, vol. 36(4), pages 535-548, August.
    3. De Boeck, Kim & Decouttere, Catherine & Jónasson, Jónas Oddur & Vandaele, Nico, 2022. "Vaccine supply chains in resource-limited settings: Mitigating the impact of rainy season disruptions," European Journal of Operational Research, Elsevier, vol. 301(1), pages 300-317.
    4. Oscar Dominguez & Angel A. Juan & Barry Barrios & Javier Faulin & Alba Agustin, 2016. "Using biased randomization for solving the two-dimensional loading vehicle routing problem with heterogeneous fleet," Annals of Operations Research, Springer, vol. 236(2), pages 383-404, January.
    5. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2016. "Outsourcing decisions in reverse logistics: Sustainable balanced scorecard and graph theoretic approach," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 41-53.
    6. Mihi Ramírez, Antonio, 2012. "Product return and logistics knowledge: Influence on performance of the firm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1137-1151.
    7. Volker Trauzettel, 2015. "A Case Study On Optimizing Parts Supply In Manufacturing By Reusable Containers," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 15, pages 161-174.
    8. Álvarez, María José & Berrone, Pascual Alberto & Husillos, F. Javier & Lado, Nora, 2005. "The explanatory power of trust and commitment and stakeholders' salience : their influence on the reverse logistics programs performance," DEE - Working Papers. Business Economics. WB wb050303, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    9. C D Tarantilis & G Ioannou & C T Kiranoudis & G P Prastacos, 2005. "Solving the open vehicle routeing problem via a single parameter metaheuristic algorithm," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(5), pages 588-596, May.
    10. M. Fonseca & Álvaro García-Sánchez & Miguel Ortega-Mier & Francisco Saldanha-da-Gama, 2010. "A stochastic bi-objective location model for strategic reverse logistics," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(1), pages 158-184, July.
    11. Le Blanc, H.M. & Fleuren, H.A. & Krikke, H.R., 2002. "Network Designs for LPG Tanks in the Netherlands," Other publications TiSEM 6516dab2-eb20-45d5-b35b-0, Tilburg University, School of Economics and Management.
    12. 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.
    13. Derek Voigt & Nelson Casarotto Filho & Mayara Atherino Macedo & Thais Guerra Braga & Rodrigo Ulisses Garbin da Rocha, 2019. "Performance Evaluation of Reverse Logistics: Opportunities for Future Research," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    14. 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.
    15. Silviya Blagoeva (ed.), 2017. "Modern Logistics – Business And Education," Conferences of the Industrial business and logistics department, Publishing house Science and Economics Varna, number 1.
    16. de Brito, M.P. & Dekker, R., 2002. "Reverse logistics - a framework," Econometric Institute Research Papers EI 2002-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    17. NNC Pushpamali & Duzgun Agdas & Timothy M. Rose, 2019. "A Review of Reverse Logistics: An Upstream Construction Supply Chain Perspective," Sustainability, MDPI, vol. 11(15), pages 1-14, August.
    18. Marisa P. Brito & Rommert Dekker & Simme Douwe P. Flapper, 2005. "Reverse Logistics: A Review of Case Studies," Lecture Notes in Economics and Mathematical Systems, in: Bernhard Fleischmann & Andreas Klose (ed.), Distribution Logistics, pages 243-281, Springer.
    19. Gamberini, Rita & Gebennini, Elisa & Manzini, Riccardo & Ziveri, Andrea, 2010. "On the integration of planning and environmental impact assessment for a WEEE transportation network—A case study," Resources, Conservation & Recycling, Elsevier, vol. 54(11), pages 937-951.
    20. Oscar Dominguez & Angel Juan & Barry Barrios & Javier Faulin & Alba Agustin, 2016. "Using biased randomization for solving the two-dimensional loading vehicle routing problem with heterogeneous fleet," Annals of Operations Research, Springer, vol. 236(2), pages 383-404, January.

    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:ejores:v:195:y:2009:i:3:p:676-700. 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/eor .

    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.