IDEAS home Printed from https://ideas.repec.org/a/jis/ejistu/y2015i01id392.html
   My bibliography  Save this article

Model for Determining the Optimum Location for Performance Improvement in Supply-Chain Strategies

Author

Listed:
  • ȚARȚAVULEA (DIEACONESCU) Ramona Iulia

Abstract

The economic crisis which started in 2007 has caused damaging effects to most international companies. In several EU countries, foreign investments decreased and international companies closed or relocated production and/or distribution centres, due to cost reduction measures. This paper is aiming to demonstrate that applying a performant solution in defining the supply chain strategy can be a low cost process, which can generate positive effects on the sales and revenues. The research objective is to present a concrete solution for redesigning the supply chain, in order to achieve the optimal delivery strategy. The solution implies the use of mathematic methods, for determining the optimum location for placing a central warehouse, in a geographic region. The use of an optimum delivery strategy leads to lower depositing and transport costs, which generates positive effects on sales, by offering more competitive prices on products. The main contribution of the author is the development of a model, used to identify the optimal location for placing a central warehouse.

Suggested Citation

  • ȚARȚAVULEA (DIEACONESCU) Ramona Iulia, 2015. "Model for Determining the Optimum Location for Performance Improvement in Supply-Chain Strategies," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.
    • Handle: RePEc:jis:ejistu:y:2015:i:01:id:392
    as

    Download full text from publisher

    File URL: https://ejist.ro/files/pdf/392.pdf
    Download Restriction: no
    File URL: https://ejist.ro/abstract/392/Model-for-Determining-the-Optimum-Location-for-Performance-Improvement.html
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sheu, Jiuh-Biing, 2004. "A hybrid fuzzy-based approach for identifying global logistics strategies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(1), pages 39-61, January.
    2. Sebastian Madalin Munteanu & Irina-Eugenia Iamandi & Eugeniu Tudor, 2015. "Evaluation Model of the Entrepreneurial Character in EU Countries," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 17(38), pages 1-76, February.
    3. Cristina Venera GEAMBASU & Iulia JIANU & Ionel JIANU & Alexandru GAVRILA, 2011. "Influence Factors for the Choice of a Software Development Methodology," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 10(4), pages 479-494, December.
    4. Irina-Eugenia Iamandi & Sebastian Mădălin Munteanu, 2014. "Corporate Social Responsibility through Education and Sport. An EU Comparative Case," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 17(54), pages 73-97, December.
    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. Feng, Cheng-Min & Wu, Pei-Ju, 2009. "A tax savings model for the emerging global manufacturing network," International Journal of Production Economics, Elsevier, vol. 122(2), pages 534-546, December.
    2. Munteanu Sebastian Madalin, 2015. "The Economic And Social Coordinates Of Developing A Sport Entrepreneurship Index – Current Challenges And Prerequisites," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 3, pages 224-229, June.
    3. Cho, Sangmin & Kim, Jinsoo & Heo, Eunnyeong, 2015. "Application of fuzzy analytic hierarchy process to select the optimal heating facility for Korean horticulture and stockbreeding sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1075-1083.
    4. Sheu, Jiuh Biing & Kundu, Tanmoy, 2018. "Forecasting time-varying logistics distribution flows in the One Belt-One Road strategic context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 5-22.
    5. Zhiqiang Zhu & Xuechi Zhang & Mengqing Xue & Yaoyao Song, 2023. "Eco-Efficiency and Its Evolutionary Change under Regulatory Constraints: A Case Study of Chinese Transportation Industry," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    6. Martin Pech, 2010. "Application of fuzzy multicriteria decision making on the factors of corporate culture," Acta Universitatis Bohemiae Meridionales, University of South Bohemia in Ceske Budejovice, vol. 13(2), pages 93-104.
    7. Dragos Sebastian Cristea & Alexandru Adrian Gavrila & Stefan Mihai Petrea & Dan Munteanu & Sofia David & Catalin Octavian Manescu, 2024. "The Use of Artificial Intelligence in Sturgeon Aquaculture," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 957-957, August.
    8. Wanke, Peter & Barros, C.P. & Nwaogbe, Obioma R., 2016. "Assessing productive efficiency in Nigerian airports using Fuzzy-DEA," Transport Policy, Elsevier, vol. 49(C), pages 9-19.
    9. Maria-Ana Georgescu & Emilia Herman, 2019. "Productive Employment for Inclusive and Sustainable Development in European Union Countries: A Multivariate Analysis," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    10. Engin ÇAKIR, 2017. "Application of Fuzzy Multi-Criteria Decision Making Methods on Six Sigma Projects Selection," Journal of Social and Administrative Sciences, KSP Journals, vol. 4(1), pages 132-138, March.
    11. Juhan Kim & Jinsoo Kim, 2018. "Optimal Portfolio for LNG Importation in Korea Using a Two-Step Portfolio Model and a Fuzzy Analytic Hierarchy Process," Energies, MDPI, vol. 11(11), pages 1-18, November.
    12. Ramona Iulia Ţarţavulea & Radu Ioan Petrariu, 2013. "Logistics Market Statistics and Opinions about the Supply Chain Management in Romania," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 15(33), pages 180-196, February.
    13. Kuo-Liang Lee & Wen-Chih Huang & Junn-Yuan Teng, 2009. "Locating the competitive relation of global logistics hub using quantitative SWOT analytical method," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(1), pages 87-107, January.
    14. Justice Odei Som & Hod Anyigba, 2022. "Examining the Effects of Information Systems Usage and Managerial Commitment on Supply Chain Performance: The Mediating Role of Supply Chain Integration," SAGE Open, , vol. 12(2), pages 21582440221, April.
    15. Heo, Eunnyeong & Kim, Jinsoo & Boo, Kyung-Jin, 2010. "Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2214-2220, October.
    16. Radu Ciobanu & Mircea Bahna, 2015. "The Social, Cultural and Political Factors that Influence the Level of Mergers and Acquisitions," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 5(3), pages 33-41, July.

    More about this item

    Keywords

    supply chain strategy; optimum location; informatics solution; mathematical optimization;
    All these keywords.

    JEL classification:

    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

    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:jis:ejistu:y:2015:i:01:id:392. 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: Alina Popescu (email available below). General contact details of provider: https://edirc.repec.org/data/frasero.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.