IDEAS home Printed from https://ideas.repec.org/h/tkp/tiim13/s3_310-317.html
   My bibliography  Save this book chapter

System Supporting Location of Service Works: Case Study

Author

Listed:
  • Jedrzej Trajer

    (Warsaw University of Life Sciences, Poland)

  • Malgorzata Jaros

    (Warsaw University of Life Sciences, Poland)

  • Bronislaw Golebiewski

    (Warsaw University of Life Sciences, Poland)

  • Radoslaw Winiczenko

    (Warsaw University of Life Sciences, Poland)

Abstract

Purpose: The purpose of this work was to propose a new approach to assess the influence of decision variables on the running costs of networks providing services, taking recycling networks as an example. The authors have analyzed the importance of these variables and the trends in these changes. Design / methodology / approach: A computer system supporting decisions about the location of ELVs recycling network facilities, which indicates globally optimum locations of all facilities, was applied. An analysis of output variables sensitivity: location and cost of recycling on decision variables changes, i.e. the ELVs stream, and cost components connected with recycling was performed. The results of the analysis were presented in the form of graphs showing the relation between the cost of recycling generated by the network in the period of one year and the changes in the cost of transport, storage and dismantling of ELVs as well as the transport of dismantled parts and materials. Findings: The approached proposed by the authors allows to reject insignificant decision variables (it simplifies decision-making) and identifies the values which have the greatest impact (shortens decision-making for alternative data variants). Practical implications: The proposed approach allows to specify the values of decision variables, and provides information required for the evaluation of profitability of the recycling network. Originality / value: The proposed approach allows to assess the relationship between the cost of recycling and decision variables at a general level - the territory being analyzed in the period of one year, and at a detailed level - the cost of recycling one vehicle.

Suggested Citation

  • Jedrzej Trajer & Malgorzata Jaros & Bronislaw Golebiewski & Radoslaw Winiczenko, 2013. "System Supporting Location of Service Works: Case Study," Diversity, Technology, and Innovation for Operational Competitiveness: Proceedings of the 2013 International Conference on Technology Innovation and Industrial Management,, ToKnowPress.
  • Handle: RePEc:tkp:tiim13:s3_310-317
    as

    Download full text from publisher

    File URL: http://www.toknowpress.net/ISBN/978-961-6914-07-9/papers/S3_310-317.pdf
    File Function: full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nozick, Linda K. & Turnquist, Mark A., 2001. "A two-echelon inventory allocation and distribution center location analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(6), pages 425-441, December.
    2. Mark Daskin & Collette Coullard & Zuo-Jun Shen, 2002. "An Inventory-Location Model: Formulation, Solution Algorithm and Computational Results," Annals of Operations Research, Springer, vol. 110(1), pages 83-106, February.
    Full references (including those not matched with items on IDEAS)

    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. Navneet Vidyarthi & Emre Çelebi & Samir Elhedhli & Elizabeth Jewkes, 2007. "Integrated Production-Inventory-Distribution System Design with Risk Pooling: Model Formulation and Heuristic Solution," Transportation Science, INFORMS, vol. 41(3), pages 392-408, August.
    2. Leyla Ozsen & Collette R. Coullard & Mark S. Daskin, 2008. "Capacitated warehouse location model with risk pooling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 55(4), pages 295-312, June.
    3. Schuster Puga, Matías & Tancrez, Jean-Sébastien, 2017. "A heuristic algorithm for solving large location–inventory problems with demand uncertainty," European Journal of Operational Research, Elsevier, vol. 259(2), pages 413-423.
    4. Pablo Miranda & Rodrigo Garrido, 2006. "A Simultaneous Inventory Control and Facility Location Model with Stochastic Capacity Constraints," Networks and Spatial Economics, Springer, vol. 6(1), pages 39-53, March.
    5. Burcu B. Keskin & Halit Üster, 2012. "Production/distribution system design with inventory considerations," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(2), pages 172-195, March.
    6. Miranda, Pablo A. & Garrido, Rodrigo A., 2009. "Inventory service-level optimization within distribution network design problem," International Journal of Production Economics, Elsevier, vol. 122(1), pages 276-285, November.
    7. Ho‐Yin Mak & Zuo‐Jun Max Shen, 2009. "A two‐echelon inventory‐location problem with service considerations," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(8), pages 730-744, December.
    8. Semra Ağralı & Joseph Geunes & Z. Taşkın, 2012. "A facility location model with safety stock costs: analysis of the cost of single-sourcing requirements," Journal of Global Optimization, Springer, vol. 54(3), pages 551-581, November.
    9. Mark S. Daskin, 2008. "What you should know about location modeling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 55(4), pages 283-294, June.
    10. Darmawan, Agus & Wong, Hartanto & Thorstenson, Anders, 2021. "Supply chain network design with coordinated inventory control," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    11. Amiri-Aref, Mehdi & Klibi, Walid & Babai, M. Zied, 2018. "The multi-sourcing location inventory problem with stochastic demand," European Journal of Operational Research, Elsevier, vol. 266(1), pages 72-87.
    12. Aaron Guerrero Campanur & Elias Olivares-Benitez & Pablo A. Miranda & Rodolfo Eleazar Perez-Loaiza & Jose Humberto Ablanedo-Rosas, 2018. "Design of a Logistics Nonlinear System for a Complex, Multiechelon, Supply Chain Network with Uncertain Demands," Complexity, Hindawi, vol. 2018, pages 1-16, November.
    13. Hossein Abouee-Mehrizi & Oded Berman & M. Reza Baharnemati, 2014. "Designing Production-Inventory-Transportation Systems with Capacitated Cross-Docks," Transportation Science, INFORMS, vol. 48(1), pages 121-135, February.
    14. Liu, Kaijun & Zhou, Yonghong & Zhang, Zigang, 2010. "Capacitated location model with online demand pooling in a multi-channel supply chain," European Journal of Operational Research, Elsevier, vol. 207(1), pages 218-231, November.
    15. Sainathuni, Bhanuteja & Parikh, Pratik J. & Zhang, Xinhui & Kong, Nan, 2014. "The warehouse-inventory-transportation problem for supply chains," European Journal of Operational Research, Elsevier, vol. 237(2), pages 690-700.
    16. Madadi, AliReza & Kurz, Mary E. & Mason, Scott J. & Taaffe, Kevin M., 2014. "Supply chain design under quality disruptions and tainted materials delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 105-123.
    17. Sun, Hao & Yang, Jun & Yang, Chao, 2019. "A robust optimization approach to multi-interval location-inventory and recharging planning for electric vehicles," Omega, Elsevier, vol. 86(C), pages 59-75.
    18. Congdong Li & Hao Guo & Ying Zhang & Shuai Deng & Yu Wang, 2018. "An Improved Differential Evolution Algorithm for a Multicommodity Location-Inventory Problem with False Failure Returns," Complexity, Hindawi, vol. 2018, pages 1-13, October.
    19. Donya Rahmani, 2019. "Designing a robust and dynamic network for the emergency blood supply chain with the risk of disruptions," Annals of Operations Research, Springer, vol. 283(1), pages 613-641, December.
    20. Francisco Silva & Lucia Gao, 2013. "A Joint Replenishment Inventory-Location Model," Networks and Spatial Economics, Springer, vol. 13(1), pages 107-122, 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:tkp:tiim13:s3_310-317. 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: Maks Jezovnik (email available below). General contact details of provider: http://www.toknowpress.net/conferences .

    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.