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Selecting industrial investment locations in master plans of countries

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  • Burak Omer Saracoglu

Abstract

The plans for industries of a country can be organised based on the top down philosophy as the strategic, master and regional plans. These plans should be supported by some sector and company plans such as the business plans and the investment plans. All these business and management tools should essentially be linked or associated with each other by the intelligent systems. The objective of this paper is to solve one of the crucial problems in the industrial master plans, the industrial investment location selection. One of the government budgeted programmes in Turkey aims to search, find, define, investigate, select and decide new candidate locations of new building shipyards in Turkey. This study presents a new decision support procedure based on AHP for the location selection problems in master plans. Finally, some of the new building shipyard zone location alternatives, based on the cluster philosophy in Turkey, have been presented. [Received 16 May 2011; Revised 27 September 2011; 27 November 2011; Accepted 29 November 2011]

Suggested Citation

  • Burak Omer Saracoglu, 2013. "Selecting industrial investment locations in master plans of countries," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 7(4), pages 416-441.
    • Handle: RePEc:ids:eujine:v:7:y:2013:i:4:p:416-441
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    Cited by:

    1. Marcela Taušová & Katarína Čulková & Peter Tauš & Lucia Domaracká & Andrea Seňová, 2021. "Evaluation of the Effective Material Use from the View of EU Environmental Policy Goals," Energies, MDPI, vol. 14(16), pages 1-14, August.
    2. Vivek B. Kamat & Jayant K. Kittur, 2019. "Devising smart strategic framework for assessment of quality in engineering education," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(6), pages 1403-1428, December.
    3. Mousavi, M. & Gitinavard, H. & Mousavi, S.M., 2017. "A soft computing based-modified ELECTRE model for renewable energy policy selection with unknown information," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 774-787.
    4. Mohammed Said Obeidat & Tarek Qasim & Aseel Khanfar, 2018. "Implementing the AHP multi-criteria decision approach in buying an apartment in Jordan," Journal of Property Research, Taylor & Francis Journals, vol. 35(1), pages 53-71, January.
    5. Mats Wilhelmsson & Jianyu Zhao, 2018. "Risk Assessment of Housing Market Segments: The Lender’s Perspective," JRFM, MDPI, vol. 11(4), pages 1-22, October.
    6. Adriana Csikósová & Mária Janošková & Katarína Čulková, 2020. "Providing of tourism organizations sustainability through Tripple Bottom Line approach," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(2), pages 764-776, December.
    7. Kosa Golić & Tatjana Kosić & Vesna Kosorić, 2023. "AHP-Based Model for Energy-Sustainable Renovation of Building Envelopes: A Case Study," Sustainability, MDPI, vol. 15(10), pages 1-31, May.

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