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LOCATION SELECTION FOR THE FURNITURE INDUSTRY BY USING A GOAL PROGRAMMING MODEL

Yıl 2020, Cilt: 11 Sayı: 2, 177 - 184, 01.06.2020

Öz

The location of a facility plays a significant role in minimizing costs and maximizing the utilization of resources. Therefore, in this study, a goal programming model was proposed to determine an appropriate location for the furniture industry. Seven provinces in the Western Black Sea Region of Turkey were considered as candidate places. The objectives of this study were identified as follows: proximity to raw materials, the number of qualified people, proximity to markets, population, and distances to other provinces in the region. The proposed model was solved using an optimization tool. The results demonstrated that Karabük was the best choice. Consequently, the model proposed in this study can be used as a guideline for furniture firms.

Kaynakça

  • [1] Gordić D., Babić M., Jelić D., Konćalović D. and Vukašinović V., (2014) Integrating Energy and Environmental Management in Wood Furniture Industry, The Scientific World Journal 596958, 1–18.
  • [2] URL 1. https://www.trade.gov.tr/data/5b8fd5bf13b8761f041fee9b/Furniture.pdf
  • [3] Karademir D. and Koc K.H., (2020) Evaluating the Work Environment in Turkish Furniture Industry from the Point of Occupational Health and Safety, Fresenius Environmental Bulletin 29, 2639–2645.
  • [4] Ertuğrul İ. and Karakaşoğlu N., (2008) Comparison of Fuzzy AHP and Fuzzy TOPSIS Methods for Facility Location Selection, The International Journal of Advanced Manufacturing Technology 39, 783–795.
  • [5] Govindan K., Garg K., Gupta S. and Jha P.C., (2016) Effect of Product Recovery and Sustainability Enhancing Indicators on the Location Selection of Manufacturing Facility, Ecological Indicators 67, 517–532.
  • [6] Johansson M. and Olhager J., (2018) Comparing Offshoring and Backshoring: The Role of Manufacturing Site Location Factors and Their Impact on Post-Relocation Performance, International Journal of Production Economics 205, 37–46.
  • [7] Mousavi S.M., Tavakkoli-Moghaddam R., Heydar M. and Ebrahimnejad S., (2013) Multi-Criteria Decision Making for Plant Location Selection: An Integrated Delphi–AHP–PROMETHEE Methodology, Arabian Journal for Science and Engineering 38, 1255–1268.
  • [8] Safari H., Faghih A. and Fathi M.R., (2012) Fuzzy Multi-Criteria Decision Making Method for Facility Location Selection, African Journal of Business Management 6(1), 206–212.
  • [9] Cebi S. and Kahraman C., (2013) Using Multi Attribute Choquet Integral in Site Selection of Wind Energy Plants: The Case of Turkey, Journal of Multiple-Valued Logic & Soft Computing 20(5–6), 423–443.
  • [10] Ozgen D. and Gulsun B., (2014) Combining Possibilistic Linear Programming and Fuzzy AHP for Solving the Multi-Objective Capacitated Multi-Facility Location Problem, Information Sciences 268, 185–201.
  • [11] Chadawada R., Sarfaraz A., Jenab K. and Pourmohammadi H., (2015) Integration of AHP-QFD for Selecting Facility Location, Benchmarking: An International Journal 22(3), 411–425.
  • [12] Güler D., Miran B. and Saner G., (2016) Best Location for Animal Feed Manufacturing Company in Izmir Province of Turkey, Balkan and Near Eastern Journal of Social Sciences 2(2), 115–122.
  • [13] Mahmud S., Rayhan D.S.A. and Ahamed T., (2016) Facility Location Selection for Seasonal Product: A Case Study for New Business and a Comparative Study of AHP and ANP, International Journal of Scientific & Technology Research 5(5), 239–245.
  • [14] Bolturk E. and Kahraman C., (2018) Interval-Valued Intuitionistic Fuzzy CODAS Method and Its Application to Wave Energy Facility Location Selection Problem, Journal of Intelligent & Fuzzy Systems 35(4), 4865–4877.
  • [15] Kheybari S., Kazemi M. and Rezaei J., (2019) Bioethanol Facility Location Selection Using Best-Worst Method, Applied Energy 242, 612–623.
  • [16] Yücenur G.N., Çaylak Ş., Gönül G. and Postalcıoğlu M., (2020) An Integrated Solution with SWARA&COPRAS Methods in Renewable Energy Production: City Selection for Biogas Facility, Renewable Energy 145, 2587–2597.
  • [17] Seker S. and Aydin N., (2020) Hydrogen Production Facility Location Selection for Black Sea Using Entropy Based TOPSIS under IVPF Environment, International Journal of Hydrogen Energy 45(32), 15855–15868.
  • [18] Azizi M. and Modarres M., (2007) A Strategic Model for Location Selection of Wood Industry: An Application of ANP, Journal of Applied Sciences 7, 326–333.
  • [19] Imren E., Karayılmazlar S. and Kurt R., (2016) Selection of Optimal Establishment Place Using AHP (Analytical Hierarchy Process): An Application of Furniture Industry, Journal of Bartin Faculty of Forestry 18(2), 48–54.
  • [20] Azizi M. and Ramezanzadeh M., (2016) Location Selection of Agricultural-Residuals Particleboard Industry through Group Decision: The Case Study of Northern Iran, Economics, Management and Sustainability 1(1), 14–22.
  • [21] Üçüncü T., Üçüncü K., Akyüz K.C., Bayram B.Ç. and Ersen N., (2017) Location Selection in Furniture Industry by Using TOPSIS Method: A Case of the West Black Sea Region, Journal of Advanced Technology Sciences 6(3), 435–443.
  • [22] Azizi M., (2017) Strategic Model for Location Selection of Solar Wood Drying By Applying TOPSIS, Economics, Management and Sustainability 2(2), 15–23.
  • [23] Yeşilkaya M., (2018) Selection of Paper Factory Location Using Multi-Criteria Decision Making Methods, Çukurova University Journal of the Faculty of Engineering and Architecture 33(4), 31–44.
  • [24] URL 2. https://www.kgm.gov.tr/Sayfalar/KGM/SiteEng/Root/MainPageEnglish.aspx
  • [25] URL 3. http://www.turkstat.gov.tr/Start.do
  • [26] URL 4. https://www.google.com.tr/maps
  • [27] Gür Ş. and Eren T., (2018) Scheduling and Planning in Service Systems with Goal Programming: Literature Review, Mathematics 6(11), 265.
  • [28] Ruben C., Dhulipala S.C., Bretas A.S., Guan Y. and Bretas N.G., (2020) Multi-Objective MILP Model for PMU Allocation Considering Enhanced Gross Error Detection: A Weighted Goal Programming Framework, Electric Power Systems Research 182, 106235.
  • [29] Diaz-Balteiro L., González-Pachón J. and Romero C., (2013) Goal Programming in Forest Management: Customising Models for the Decision-Maker's Preferences, Scandinavian Journal of Forest Research 28(2), 166–173.
  • [30] Özcan E.C., Ünlüsoy S. and Eren T., (2017) A Combined Goal Programming – AHP Approach Supported with TOPSIS for Maintenance Strategy Selection in Hydroelectric Power Plants, Renewable and Sustainable Energy Reviews 78, 1410–1423.
  • [31] Rifai A.K., (1996) A Note on the Structure of the Goal-Programming Model: Assessment and Evaluation, International Journal of Operations & Production Management 16(1), 40–49.
  • [32] Karagül B.Z., (2018) Financial and Technical Analysis of Insurance Sector with Goal Programming Model, Sigma Journal of Engineering and Natural Sciences 36(2), 553–561.
  • [33] Choudhary D. and Shankar R., (2014) A Goal Programming Model for Joint Decision Making of Inventory Lot-Size, Supplier Selection and Carrier Selection, Computers & Industrial Engineering 71, 1–9.
Yıl 2020, Cilt: 11 Sayı: 2, 177 - 184, 01.06.2020

Öz

Kaynakça

  • [1] Gordić D., Babić M., Jelić D., Konćalović D. and Vukašinović V., (2014) Integrating Energy and Environmental Management in Wood Furniture Industry, The Scientific World Journal 596958, 1–18.
  • [2] URL 1. https://www.trade.gov.tr/data/5b8fd5bf13b8761f041fee9b/Furniture.pdf
  • [3] Karademir D. and Koc K.H., (2020) Evaluating the Work Environment in Turkish Furniture Industry from the Point of Occupational Health and Safety, Fresenius Environmental Bulletin 29, 2639–2645.
  • [4] Ertuğrul İ. and Karakaşoğlu N., (2008) Comparison of Fuzzy AHP and Fuzzy TOPSIS Methods for Facility Location Selection, The International Journal of Advanced Manufacturing Technology 39, 783–795.
  • [5] Govindan K., Garg K., Gupta S. and Jha P.C., (2016) Effect of Product Recovery and Sustainability Enhancing Indicators on the Location Selection of Manufacturing Facility, Ecological Indicators 67, 517–532.
  • [6] Johansson M. and Olhager J., (2018) Comparing Offshoring and Backshoring: The Role of Manufacturing Site Location Factors and Their Impact on Post-Relocation Performance, International Journal of Production Economics 205, 37–46.
  • [7] Mousavi S.M., Tavakkoli-Moghaddam R., Heydar M. and Ebrahimnejad S., (2013) Multi-Criteria Decision Making for Plant Location Selection: An Integrated Delphi–AHP–PROMETHEE Methodology, Arabian Journal for Science and Engineering 38, 1255–1268.
  • [8] Safari H., Faghih A. and Fathi M.R., (2012) Fuzzy Multi-Criteria Decision Making Method for Facility Location Selection, African Journal of Business Management 6(1), 206–212.
  • [9] Cebi S. and Kahraman C., (2013) Using Multi Attribute Choquet Integral in Site Selection of Wind Energy Plants: The Case of Turkey, Journal of Multiple-Valued Logic & Soft Computing 20(5–6), 423–443.
  • [10] Ozgen D. and Gulsun B., (2014) Combining Possibilistic Linear Programming and Fuzzy AHP for Solving the Multi-Objective Capacitated Multi-Facility Location Problem, Information Sciences 268, 185–201.
  • [11] Chadawada R., Sarfaraz A., Jenab K. and Pourmohammadi H., (2015) Integration of AHP-QFD for Selecting Facility Location, Benchmarking: An International Journal 22(3), 411–425.
  • [12] Güler D., Miran B. and Saner G., (2016) Best Location for Animal Feed Manufacturing Company in Izmir Province of Turkey, Balkan and Near Eastern Journal of Social Sciences 2(2), 115–122.
  • [13] Mahmud S., Rayhan D.S.A. and Ahamed T., (2016) Facility Location Selection for Seasonal Product: A Case Study for New Business and a Comparative Study of AHP and ANP, International Journal of Scientific & Technology Research 5(5), 239–245.
  • [14] Bolturk E. and Kahraman C., (2018) Interval-Valued Intuitionistic Fuzzy CODAS Method and Its Application to Wave Energy Facility Location Selection Problem, Journal of Intelligent & Fuzzy Systems 35(4), 4865–4877.
  • [15] Kheybari S., Kazemi M. and Rezaei J., (2019) Bioethanol Facility Location Selection Using Best-Worst Method, Applied Energy 242, 612–623.
  • [16] Yücenur G.N., Çaylak Ş., Gönül G. and Postalcıoğlu M., (2020) An Integrated Solution with SWARA&COPRAS Methods in Renewable Energy Production: City Selection for Biogas Facility, Renewable Energy 145, 2587–2597.
  • [17] Seker S. and Aydin N., (2020) Hydrogen Production Facility Location Selection for Black Sea Using Entropy Based TOPSIS under IVPF Environment, International Journal of Hydrogen Energy 45(32), 15855–15868.
  • [18] Azizi M. and Modarres M., (2007) A Strategic Model for Location Selection of Wood Industry: An Application of ANP, Journal of Applied Sciences 7, 326–333.
  • [19] Imren E., Karayılmazlar S. and Kurt R., (2016) Selection of Optimal Establishment Place Using AHP (Analytical Hierarchy Process): An Application of Furniture Industry, Journal of Bartin Faculty of Forestry 18(2), 48–54.
  • [20] Azizi M. and Ramezanzadeh M., (2016) Location Selection of Agricultural-Residuals Particleboard Industry through Group Decision: The Case Study of Northern Iran, Economics, Management and Sustainability 1(1), 14–22.
  • [21] Üçüncü T., Üçüncü K., Akyüz K.C., Bayram B.Ç. and Ersen N., (2017) Location Selection in Furniture Industry by Using TOPSIS Method: A Case of the West Black Sea Region, Journal of Advanced Technology Sciences 6(3), 435–443.
  • [22] Azizi M., (2017) Strategic Model for Location Selection of Solar Wood Drying By Applying TOPSIS, Economics, Management and Sustainability 2(2), 15–23.
  • [23] Yeşilkaya M., (2018) Selection of Paper Factory Location Using Multi-Criteria Decision Making Methods, Çukurova University Journal of the Faculty of Engineering and Architecture 33(4), 31–44.
  • [24] URL 2. https://www.kgm.gov.tr/Sayfalar/KGM/SiteEng/Root/MainPageEnglish.aspx
  • [25] URL 3. http://www.turkstat.gov.tr/Start.do
  • [26] URL 4. https://www.google.com.tr/maps
  • [27] Gür Ş. and Eren T., (2018) Scheduling and Planning in Service Systems with Goal Programming: Literature Review, Mathematics 6(11), 265.
  • [28] Ruben C., Dhulipala S.C., Bretas A.S., Guan Y. and Bretas N.G., (2020) Multi-Objective MILP Model for PMU Allocation Considering Enhanced Gross Error Detection: A Weighted Goal Programming Framework, Electric Power Systems Research 182, 106235.
  • [29] Diaz-Balteiro L., González-Pachón J. and Romero C., (2013) Goal Programming in Forest Management: Customising Models for the Decision-Maker's Preferences, Scandinavian Journal of Forest Research 28(2), 166–173.
  • [30] Özcan E.C., Ünlüsoy S. and Eren T., (2017) A Combined Goal Programming – AHP Approach Supported with TOPSIS for Maintenance Strategy Selection in Hydroelectric Power Plants, Renewable and Sustainable Energy Reviews 78, 1410–1423.
  • [31] Rifai A.K., (1996) A Note on the Structure of the Goal-Programming Model: Assessment and Evaluation, International Journal of Operations & Production Management 16(1), 40–49.
  • [32] Karagül B.Z., (2018) Financial and Technical Analysis of Insurance Sector with Goal Programming Model, Sigma Journal of Engineering and Natural Sciences 36(2), 553–561.
  • [33] Choudhary D. and Shankar R., (2014) A Goal Programming Model for Joint Decision Making of Inventory Lot-Size, Supplier Selection and Carrier Selection, Computers & Industrial Engineering 71, 1–9.
Toplam 33 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Articles
Yazarlar

Hilal Singer Bu kişi benim 0000-0003-0884-2555

Şükrü Özşahin Bu kişi benim 0000-0001-8216-0048

Yayımlanma Tarihi 1 Haziran 2020
Gönderilme Tarihi 26 Kasım 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 11 Sayı: 2

Kaynak Göster

Vancouver Singer H, Özşahin Ş. LOCATION SELECTION FOR THE FURNITURE INDUSTRY BY USING A GOAL PROGRAMMING MODEL. SIGMA. 2020;11(2):177-84.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/