IDEAS home Printed from https://ideas.repec.org/a/rom/rmcimn/v10y2009i1p106-112.html
   My bibliography  Save this article

Does structure influence performance in downstream supply chain?

Author

Listed:
  • Horatiu CIRTITA

    (Babes-Bolyai University, Cluj-Napoca, Romania)

  • Liviu ILIES

    (Babes-Bolyai University, Cluj-Napoca, Romania)

Abstract

In 1989, John Sterman has explained in the famous beer game the bullwhip effect in downstream supply chain and how structure influences behavior of supply chain members. In this article, we try to find answers to the following questions: Does structure influence performance in downstream supply chain? Can be identified a network configuration that performs better than other configurations? In finding answers to the research questions, we considered the axiom ‘what it is not measured, it cannot be managed’. In the study, we took SCOR metrics at first level as performance metrics and best practices to express each SCOR dimension. 30 top executives from World Class Manufacturers were surveyed to rate the importance of the metrics and best practices in measuring performance in downstream supply chain. The second step was to develop a multiple attribute utility model (MAUT) to select from the seven configurations identified the one that has the highest performance.

Suggested Citation

  • Horatiu CIRTITA & Liviu ILIES, 2009. "Does structure influence performance in downstream supply chain?," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 10(1), pages 106-112, March.
    • Handle: RePEc:rom:rmcimn:v:10:y:2009:i:1:p:106-112
    as

    Download full text from publisher

    File URL: https://www.rmci.ase.ro/no10vol1/Vol10_No1_Article9.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. L C Dias & J N Clímaco, 2000. "Additive aggregation with variable interdependent parameters: the VIP analysis software," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(9), pages 1070-1082, September.
    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. Dias, Luis C. & Climaco, Joao N., 2005. "Dealing with imprecise information in group multicriteria decisions: a methodology and a GDSS architecture," European Journal of Operational Research, Elsevier, vol. 160(2), pages 291-307, January.
    2. J-B Yang & D-L Xu & X Xie & A K Maddulapalli, 2011. "Multicriteria evidential reasoning decision modelling and analysis—prioritizing voices of customer," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(9), pages 1638-1654, September.
    3. Luis C. Dias & Carolina Passeira & João Malça & Fausto Freire, 2022. "Integrating life-cycle assessment and multi-criteria decision analysis to compare alternative biodiesel chains," Annals of Operations Research, Springer, vol. 312(2), pages 1359-1374, May.
    4. Meinard, Y. & Tsoukiàs, A., 2019. "On the rationality of decision aiding processes," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1074-1084.
    5. Liesio, Juuso & Mild, Pekka & Salo, Ahti, 2007. "Preference programming for robust portfolio modeling and project selection," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1488-1505, September.
    6. Greco, Salvatore & Mousseau, Vincent & Slowinski, Roman, 2008. "Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions," European Journal of Operational Research, Elsevier, vol. 191(2), pages 416-436, December.
    7. G Özerol & E Karasakal, 2008. "Interactive outranking approaches for multicriteria decision-making problems with imprecise information," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1253-1268, September.
    8. Eduarda Asfora Frej & Danielle Costa Morais & Adiel Teixeira de Almeida, 2022. "Negotiation Support Through Interactive Dominance Relationship Specification," Group Decision and Negotiation, Springer, vol. 31(3), pages 591-620, June.
    9. Cinelli, Marco & Kadziński, Miłosz & Miebs, Grzegorz & Gonzalez, Michael & Słowiński, Roman, 2022. "Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system," European Journal of Operational Research, Elsevier, vol. 302(2), pages 633-651.
    10. Vetschera, Rudolf, 2017. "Deriving rankings from incomplete preference information: A comparison of different approaches," European Journal of Operational Research, Elsevier, vol. 258(1), pages 244-253.
    11. Harju, Mikko & Liesiö, Juuso & Virtanen, Kai, 2019. "Spatial multi-attribute decision analysis: Axiomatic foundations and incomplete preference information," European Journal of Operational Research, Elsevier, vol. 275(1), pages 167-181.
    12. Marco Cinelli & Matteo Spada & Wansub Kim & Yiwen Zhang & Peter Burgherr, 2021. "MCDA Index Tool: an interactive software to develop indices and rankings," Environment Systems and Decisions, Springer, vol. 41(1), pages 82-109, March.
    13. Christoph Graf & Rudolf Vetschera & Yingchao Zhang, 2013. "Parameters of social preference functions: measurement and external validity," Theory and Decision, Springer, vol. 74(3), pages 357-382, March.
    14. Fernanda F. Moraes & Virgílio José M. Ferreira Filho & Carlos Eduardo Durange de C. Infante & Luan Santos & Edilson F. Arruda, 2022. "A Markov Chain Approach to Multicriteria Decision Analysis with an Application to Offshore Decommissioning," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    15. I Horowitz, 2003. "Preference-neutral attribute weights in the journal-ranking problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(5), pages 452-457, May.
    16. João N. Clímaco & Luis C. Dias, 2006. "An Approach to Support Negotiation Processes with Imprecise Information Multicriteria Additive Models," Group Decision and Negotiation, Springer, vol. 15(2), pages 171-184, March.
    17. Mats Danielson & Love Ekenberg, 2016. "The CAR Method for Using Preference Strength in Multi-criteria Decision Making," Group Decision and Negotiation, Springer, vol. 25(4), pages 775-797, July.
    18. de Almeida, Jonatas Araujo & Costa, Ana Paula Cabral Seixas & de Almeida-Filho, Adiel Teixeira, 2016. "A new method for elicitation of criteria weights in additive models: Flexible and interactive tradeoffAuthor-Name: de Almeida, Adiel Teixeira," European Journal of Operational Research, Elsevier, vol. 250(1), pages 179-191.
    19. Meimei Xia & Jian Chen & Xiao-Jun Zeng, 2018. "Decision Analysis on Choquet Integral-Based Multi-Criteria Decision-Making with Imprecise Information," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 677-704, March.
    20. Jiamin Wang, 2012. "Robust optimization analysis for multiple attribute decision making problems with imprecise information," Annals of Operations Research, Springer, vol. 197(1), pages 109-122, August.

    More about this item

    Keywords

    downstream supply chain network; multiple attribute utility model; SCOR; performance metrics; best practices.;
    All these keywords.

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

    Statistics

    Access and download statistics

    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:rom:rmcimn:v:10:y:2009:i:1:p:106-112. 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: Marian Nastase (email available below). General contact details of provider: https://edirc.repec.org/data/mnasero.html .

    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.