IDEAS home Printed from https://ideas.repec.org/a/spr/cejnor/v20y2012i1p1-17.html
   My bibliography  Save this article

An approximate algorithm for optimal logistics of heavy and variable size items

Author

Listed:
  • Lorenzo Ros-McDonnell
  • M. de-la-Fuente-Aragon
  • Marija Bogataj

Abstract

The objective of this article is to show the improvement reached by a ceramic logistics operator using an approximate algorithm for cargo of logistics of many different products with different weights and volumes. This algorithm, which has been used successfully for efficient assignment in logistics industry, where many different products in small but heavy items have to be distributed, can improve road transport efficiency for clients’ orders in the minimum time and with the least possible costs. The paper describes how it could increase efficiency in logistics in a ceramic industry (from the initiation of activities and over several days to the end of the job cycle) and similar heavy and small items production when time and costs play the role in function criterion. The algorithm is based on several priority rules. Real life application of the algorithm developed here has been running on a time horizon of more than one week. Though the results of the first steps (initial solution) of algorithm are not as good as the results of already known algorithms for transportation assignments, the algorithm is improving the value of criterion function rapidly, during further iterations dealing with the sequences of daily assignments, which is a major improvement in applications for such types of algorithms, known up until now. The algorithm was a well accepted development and seen as very beneficial to the ceramics industry. Copyright Springer-Verlag 2012

Suggested Citation

  • Lorenzo Ros-McDonnell & M. de-la-Fuente-Aragon & Marija Bogataj, 2012. "An approximate algorithm for optimal logistics of heavy and variable size items," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(1), pages 1-17, March.
    • Handle: RePEc:spr:cejnor:v:20:y:2012:i:1:p:1-17
    DOI: 10.1007/s10100-010-0155-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10100-010-0155-6
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10100-010-0155-6?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. Cattrysse, D. G. & van Wassenhove, L. N., 1990. "A Survey Of Algorithms For The Generalized Assignment Problem," Econometric Institute Archives 272389, Erasmus University Rotterdam.
    2. Osorio, Maria A. & Laguna, Manuel, 2003. "Logic cuts for multilevel generalized assignment problems," European Journal of Operational Research, Elsevier, vol. 151(1), pages 238-246, November.
    3. Amini, Mohammad M. & Racer, Michael, 1995. "A hybrid heuristic for the generalized assignment problem," European Journal of Operational Research, Elsevier, vol. 87(2), pages 343-348, December.
    4. Lorena, Luiz Antonio N. & Narciso, Marcelo G., 1996. "Relaxation heuristics for a generalized assignment problem," European Journal of Operational Research, Elsevier, vol. 91(3), pages 600-610, June.
    5. Li, Chung-Lun & Vairaktarakis, George & Lee, Chung-Yee, 2005. "Machine scheduling with deliveries to multiple customer locations," European Journal of Operational Research, Elsevier, vol. 164(1), pages 39-51, July.
    6. Rouillon, Stéphane & Desaulniers, Guy & Soumis, François, 2006. "An extended branch-and-bound method for locomotive assignment," Transportation Research Part B: Methodological, Elsevier, vol. 40(5), pages 404-423, June.
    7. Albareda-Sambola, Maria & van der Vlerk, Maarten H. & Fernandez, Elena, 2006. "Exact solutions to a class of stochastic generalized assignment problems," European Journal of Operational Research, Elsevier, vol. 173(2), pages 465-487, September.
    8. Toth, Paolo, 2000. "Optimization engineering techniques for the exact solution of NP-hard combinatorial optimization problems," European Journal of Operational Research, Elsevier, vol. 125(2), pages 222-238, September.
    9. Cattrysse, Dirk. G. & Salomon, Marc & Van Wassenhove, Luk N., 1994. "A set partitioning heuristic for the generalized assignment problem," European Journal of Operational Research, Elsevier, vol. 72(1), pages 167-174, January.
    10. Marshall L. Fisher & R. Jaikumar & Luk N. Van Wassenhove, 1986. "A Multiplier Adjustment Method for the Generalized Assignment Problem," Management Science, INFORMS, vol. 32(9), pages 1095-1103, September.
    11. Nait Tahar, Djamel & Yalaoui, Farouk & Chu, Chengbin & Amodeo, Lionel, 2006. "A linear programming approach for identical parallel machine scheduling with job splitting and sequence-dependent setup times," International Journal of Production Economics, Elsevier, vol. 99(1-2), pages 63-73, February.
    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. C. Y. Lam, 2021. "Optimizing logistics routings in a network perspective of supply and demand nodes," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(1), pages 357-377, March.
    2. Josefa Mula & Marija Bogataj, 2021. "OR in the industrial engineering of Industry 4.0: experiences from the Iberian Peninsula mirrored in CJOR," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(4), pages 1163-1184, December.

    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. Norina Szander & Lorenzo Ros-McDonnell & María Victoria De-la-Fuente-Aragón & Robert Vodopivec, 2018. "Sustainable Urban Homecare Delivery with Different Means of Transport," Sustainability, MDPI, vol. 10(2), pages 1-12, February.
    2. Lorenzo Ros-McDonnell & Norina Szander & María Victoria de-la-Fuente-Aragón & Robert Vodopivec, 2019. "Scheduling Sustainable Homecare with Urban Transport and Different Skilled Nurses Using an Approximate Algorithm," Sustainability, MDPI, vol. 11(22), pages 1-14, November.
    3. Osorio, Maria A. & Laguna, Manuel, 2003. "Logic cuts for multilevel generalized assignment problems," European Journal of Operational Research, Elsevier, vol. 151(1), pages 238-246, November.
    4. H. Edwin Romeijn & Dolores Romero Morales, 2001. "Generating Experimental Data for the Generalized Assignment Problem," Operations Research, INFORMS, vol. 49(6), pages 866-878, December.
    5. Mutsunori Yagiura & Toshihide Ibaraki & Fred Glover, 2004. "An Ejection Chain Approach for the Generalized Assignment Problem," INFORMS Journal on Computing, INFORMS, vol. 16(2), pages 133-151, May.
    6. Diaz, Juan A. & Fernandez, Elena, 2001. "A Tabu search heuristic for the generalized assignment problem," European Journal of Operational Research, Elsevier, vol. 132(1), pages 22-38, July.
    7. Helena Ramalhinho-Lourenço & Daniel Serra, 1998. "Adaptive approach heuristics for the generalized assignment problem," Economics Working Papers 288, Department of Economics and Business, Universitat Pompeu Fabra.
    8. Amini, Mohammad M. & Racer, Michael & Ghandforoush, Parviz, 1998. "Heuristic sensitivity analysis in a combinatoric environment: An exposition and case study," European Journal of Operational Research, Elsevier, vol. 108(3), pages 604-617, August.
    9. Woodcock, Andrew J. & Wilson, John M., 2010. "A hybrid tabu search/branch & bound approach to solving the generalized assignment problem," European Journal of Operational Research, Elsevier, vol. 207(2), pages 566-578, December.
    10. Haddadi, Salim & Ouzia, Hacene, 2004. "Effective algorithm and heuristic for the generalized assignment problem," European Journal of Operational Research, Elsevier, vol. 153(1), pages 184-190, February.
    11. Narciso, Marcelo G. & Lorena, Luiz Antonio N., 1999. "Lagrangean/surrogate relaxation for generalized assignment problems," European Journal of Operational Research, Elsevier, vol. 114(1), pages 165-177, April.
    12. Jafar Rezaei & Negin Salimi, 2015. "Optimal ABC inventory classification using interval programming," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(11), pages 1944-1952, August.
    13. Jeet, V. & Kutanoglu, E., 2007. "Lagrangian relaxation guided problem space search heuristics for generalized assignment problems," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1039-1056, November.
    14. Cattrysse, Dirk & Degraeve, Zeger & Tistaert, Jurgen, 1998. "Solving the generalised assignment problem using polyhedral results," European Journal of Operational Research, Elsevier, vol. 108(3), pages 618-628, August.
    15. Klose, Andreas & Drexl, Andreas, 2001. "Combinatorial optimisation problems of the assignment type and a partitioning approach," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 545, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    16. Taaffe, Kevin & Geunes, Joseph & Edwin Romeijn, H., 2010. "Supply capacity acquisition and allocation with uncertain customer demands," European Journal of Operational Research, Elsevier, vol. 204(2), pages 263-273, July.
    17. Li, Jing-Quan & Borenstein, Denis & Mirchandani, Pitu B., 2008. "Truck scheduling for solid waste collection in the City of Porto Alegre, Brazil," Omega, Elsevier, vol. 36(6), pages 1133-1149, December.
    18. Jason Pan & Chi-Shiang Su, 2015. "Two parallel machines problem with job delivery coordination and availability constraint," Annals of Operations Research, Springer, vol. 235(1), pages 653-664, December.
    19. Behiri, Walid & Belmokhtar-Berraf, Sana & Chu, Chengbin, 2018. "Urban freight transport using passenger rail network: Scientific issues and quantitative analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 227-245.
    20. Majumdar, J. & Bhunia, A.K., 2007. "Elitist genetic algorithm for assignment problem with imprecise goal," European Journal of Operational Research, Elsevier, vol. 177(2), pages 684-692, March.

    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:cejnor:v:20:y:2012:i:1:p:1-17. 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.