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Depo yeri seçiminde kullanılan başarı faktörleri ve yöntemler üzerine bir literatür araştırması

Year 2019, Volume: 25 Issue: 9, 1062 - 1070, 31.12.2019

Abstract

Dünya üzerinde üretim ve tüketim miktarlarının birbirlerinden farklı olması depolama kavramına dinamik bir özellik kazandırmaktadır. Ayrıca etkin bir depolama faaliyeti; sermaye ve işçilik yatırımlarını dikkate alacak, taşıma maliyet ve zamanını minimize edecek doğru depo yerinin seçilmesinden geçmektedir. Bu doğrultuda çalışmanın amacı, depo yeri seçiminde yapılmış olan öncül araştırmaların incelenmesi ve depo yer seçiminde hangi başarı faktörleri ve yöntemlerin tercih edildiğine dair bir bilgi sunmaktır. Bu amaç kapsamında çok sayıda akademik çalışma çeşitli veri tabanları süzülerek incelenmiştir. Çalışmanın sonuçlarına göre depo yer seçiminde en fazla kullanılan yöntemler AHP, ANP ve TOPSIS’in başını çektiği Çok Kriterli Karar Verme yöntemleri, en çok kullanılan başarı faktörü ise Maliyet içerikli faktörler olarak belirlenmiştir.

References

  • Onut S, Tuzkaya UR, Dogac B. “A particle swarm optimization algorithm for the multiple-level warehouse layout design problem”. Computers & Industrial Engineering, 54, 783-799, 2008.
  • Keskin MH. Lojistik Tedarik Zinciri Yönetimi. 2. Baskı. Ankara, Türkiye, 2008.
  • Çakmak E., Günay NS, Aybakan G, Tanyaş M. “Determining the size and design of flow type and U type warehouses”. Procedia - Social and Behavioral Sciences, 58, 1425-1433, 2012.
  • Maharjan R, Hanaoka S. “Warehouse location determination for humanitarian relief distribution in nepal”. Transportation Research Procedia, 25, 1151-1163, 2017.
  • Korpela J, Tuominen M. “A decision aid in warehouse site selection”. International Journal of Production Economics, 45, 169-180, 1996.
  • Hidaka K, Okano H. “Simulation-Based approach to the warehouse location problem for a large-scale real instance”. Proceedings of the 1997 Winter Simulation Conference, Atlanta, Georgia, USA, 1997.
  • Kratica J, Tosic D, Filipovic V. “Solving the Uncapacitated warehouse location problem by SGA with Add-Heuristic”. XV. ECPD International Conference on Material Handling and Warehousing, Belgrade, Serbia, 09-10 December 1998.
  • Vlachopoulou M, Silleos G, Manthou V. “Geographic information systems in warehouse site selection decisions”. International Journal of Production Economics, 71, 205-212, 2001.
  • Drezner Z, Scott C, Song JS. “The central warehouse location problem revisited”. IMA Journal of Management Mathematics, 14(4), 321-336, 2003.
  • Colson G, Dorigo F. “A public warehouses selection support system”. European Journal of Operational Research, 153, 332-349, 2004.
  • Michel L, Van Hentenryck P. “A simple tabu search for warehouse location”. European Journal of Operational Research, 157(3), 576-591, 2004.
  • Oum P, Park JH. “Multinational firms’ location preference for regional distribution centers: Focus on the northeast asian region”. Transportation Research Part E, 40, 101-121, 2004.
  • Zevgolis IE, Mavrikos AA, Kaliampakos DC. “Construction, storage capacity and economics of an underground warehousing-logistics center in Athens, Greece”. Tunneling and Underground Space Technology, 19, 165-173, 2004.
  • Sharma RRK, Berry V. “Developing new formulations and relaxations of single stage capacitated warehouse location problem (SSCWLP): Empirical investigation for assessing relative strengths and computational effort”. European Journal of Operational Research, 177(2), 803-812, 2007.
  • Liu LB, Berger P, Zeng A, Gerstenfeld A. “Applying the analytic hierarchy process to the offshore outsourcing location decision”. Supply Chain Management: An International Journal,13 (6), 435-449, 2008.
  • Chen, C. “A decision model of field depot location based on the centrobaric method and analytic hierarchy process (AHP)”. International Journal of Business and Managament, 4(7), 71-75, 2009.
  • Ou CW, Chou SY. “International distribution center selection from a foreign market perspective using a weighted fuzzy factor rating system”. Expert Systems with Applications, 36, 1773-1782, 2009.
  • Beltran PA, Ferrando JPP, Garcia FG, Agulio AP. “An analytic network process approach for siting a municipal solid waste plant in the metropolitan area of Valencia (Spain)”. Journal of Environmental Management, 91, 1071-1086, 2010.
  • Cura, T. “A parallel local search approach to solving the uncapacitated warehouse location problem”. Computers & Industrial Engineering, 59, 1000-1009, 2010.
  • Demirel T, Demirel NÇ, Kahraman C. “Multi-Criteria warehouse location selection using choquet integral”. Expert Systems with Applications, 37, 3943-3952, 2010.
  • Ekmekcioglu M, Kaya T, Kahraman C. “Fuzzy multicriteria disposal method and site selection for municipal solid waste”. Waste Management, 30(8-9), 1729-1736, 2010.
  • Kuo MS. “Optimal location selection for an international distribution center by using a new hybrid method”. Expert Systems with Applications, 38, 7208-7221, 2011.
  • Ozcan T, Celebi N, Esnaf S. “Comparative analysis of multi criteria decision making methodologies and implementation of a warehouse location selection problem”. Expert Systems with Applications, 38, 9773-9779, 2011.
  • Ozesenli ON. Tedarik Zinciri Yönetiminde Optimal Depo Yeri Seçimi, Doktora Tezi, Yıldız Teknik Üniversitesi, İstanbul, Türkiye, 2011.
  • Yilmaz B, Dagdeviren M, Akcayol MA. "Hızlı tüketim malları depo yeri seçimi problemi için genetik algoritma ile bir çözüm". XI. Üretim Araştırmaları Sempozyumu, İstanbul, Türkiye, 23-24 Haziran 2011.
  • Bu L, Van Duin JHR, Wiegmans B, Luo Z, Yin C. “Selection of city distribution locations in urbanized areas”. Procedia-Social and Behavioral Sciences, 39, 556-567, 2012.
  • Ashrafzadeh M, Rafiei FM, Isfahani NM, ZareZ. “Application of fuzzy TOPSIS method for the selection of warehouse location: A case study”. Interdisciplinary Journal of Contemporary Research in Business, 3(9), 655-671, 2012.
  • Caka, E. Tedarik Zinciri Yönetiminde Choquet Integral Yöntemi ile Depo Yeri Seçimi. Yüksek Lisans Tezi, İstanbul Teknik Üniversitesi, İstanbul, Türkiye, 2012.
  • Aktepe A, ErsozS. “AHP-VIKOR ve MOORA yöntemlerinin depo yeri seçim probleminde uygulanması”. Journal of Industrial Engineering (Turkish Chamber of Mechanical Engineers), 25(1-2), 2-15, 2014.
  • Durmus A, Turk SS. “Factors influencing location selection of warehouses at the intra-urban level: Istanbul case”. European Planning Studies, 22(2), 268-292, 2014.
  • Garcia JL, Alvarado A, Blanco J, Jimenez E, Maldonado AA, Cortes G. “Multi-Attribute evaluation and selection of sites for agricultural product warehouses based on an analytic hierarchy process”. Computers and Electronics in Agriculture, 100, 60-69, 2014.
  • Rath S, Gutjahr WJ. “A math-heuristic for the warehouse location-routing problem in disaster relief”. Computers &Operations Research, 42, 25-39, 2014.
  • Segura E, Benitez RBC, Lozano A. “Dynamic location of distribution centres, a real case study”. Transportation Research Procedia, 3, 547-554, 2014.
  • Dey B, Bairagi B, Sarkar B, Sanyal SK. “Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria”. International Journal of Management Science and Engineering Management, 11(4), 1-17, 2015.
  • Chotithammaporn W, Sannok R, Mekhum W, Rungsrisawat S, Poonpetpun P, Wongleedee K. “The development of physical distribution center in marketing for small and micro community enterprise (SMCE) product in Bangkontee, Samut Songkram”. Procedia - Social and Behavioral Sciences, 207, 121-124, (2015).
  • Huang S, Wang Q, Batta R, Nagi R. “An integrated model for site selection and space determination of warehouses”. Computers & Operations Research, 62, 169-176, 2015.
  • Jayant A. “Use of grey relational analysis in solving multiple attribute decision-making problem: A case study of warehouse location selection”. Advances in Industrial Engineering and Management, 4 (2), 157-164, 2015.
  • Karmaker C, Saha M. “Optimization of warehouse location through fuzzy multi-criteria decision making methods”. Decision Science Letters, 4(3), 315-334, 2015.
  • Monthatipkul, C. “A non-linear program to find an approximate location of a second warehouse: A case study”. Kasetsart Journal of Social Sciences, 37, 190-201, 2016.
  • Ozbek A, Erol E. “COPRAS ve MOORA yöntemlerinin depo yeri seçim problemine uygulanması”. JEBPIR, 2(1), 23-42, 2016.
  • Yılmaz H, Kabak O. “A multiple objective mathematical program to determine locations of disaster response distribution centers”. IFAC-PapersOnline, 49(12), 520-525, 2016.
  • Björklund M, Abrahamsson M, Johansson H. “Critical factors for viable business models for urban consolidation centres”. Research in Transportation Economics, 64, 36-47, 2017.
  • Dey B, Bairagi B, Sarkar B, Sanyal SK. “Group heterogeneity in multi member decision making model with an application to warehouse location selection in a supply chain”. Computers & Industrial Engineering, 105, 101-122, 2017.
  • He Y, Wang X, Lin Y, Zhou F, Zhou L. “Sustainable decision making for joint distribution center location choice”. Transportation Research Part D, 55,202-216, 2017.
  • Golda IJ, Izdebski M. “The multi-criteria decision support in choosing the efficient location of warehouses in the logistic network”. Procedia Engineering, 187, 635-640, 2017.
  • Foroozesh N, Moghaddam RT, Mousavi SM. “A novel group decision model based on mean-variance-skewness concepts and interval-valued fuzzy sets for a selection problem of the sustainable warehouse location under uncertainty”. Neural Computing and Applications, 30, 3277-3293, 2018.
  • Mousavi SM. “A new interval-valued hesitant fuzzy pairwise comparison-compromise solution methodology: an application to cross-docking location planning”. Neural Computing and Applications, 31, 5159-5173, 2018.
  • Petrovic GS, Madic M, Antucheviciene J. “An approach for robust decision making rule generation: Solving transport and logistics decision making problems”. Expert Systems With Applications, 106, 263-276, 2018.
  • Roh SY, Shin YR, Seo YJ. “The Pre-positioned warehouse location selection for international humanitarian relief logistics”. The Asian Journal of Shipping and Logistics, 34(4), 297-307, 2018.
  • Singh RK, Chaudhary N, Saxena N. “Selection of warehouse location for a global supply chain: A case study”. IIMB Management Review, 30, 343-356, 2018.
  • You M, Xiao Y, Zhang S, Yang P, Zhou S. “Optimal mathematical programming for the warehouse location problem with Euclidean distance linearization”. Computers & Industrial Engineering, 136, 70-79, 2019.

Literature review on success factors and methods used in warehouse location selection

Year 2019, Volume: 25 Issue: 9, 1062 - 1070, 31.12.2019

Abstract

The fact that the production and consumption amounts are different from each other gives a dynamic feature to the concept of storage. In addition, an effective storage activity hinges upon the selection of the right warehouse location that takes into account capital and labor investments; minimizes the transportation cost and time. The aim of this study is to investigate the preliminary researches in the selection of the warehouse location selection and to present information on which success factors and methods are preferred. Within this scope, many academic studies have been examined by filtering various databases. According to the results of the study, the most used methods in warehouse location selection are multi-criteria decision making methods such as AHP, ANP and TOPSIS; and the most commonly used success factor is determined as the cost-based factors.

References

  • Onut S, Tuzkaya UR, Dogac B. “A particle swarm optimization algorithm for the multiple-level warehouse layout design problem”. Computers & Industrial Engineering, 54, 783-799, 2008.
  • Keskin MH. Lojistik Tedarik Zinciri Yönetimi. 2. Baskı. Ankara, Türkiye, 2008.
  • Çakmak E., Günay NS, Aybakan G, Tanyaş M. “Determining the size and design of flow type and U type warehouses”. Procedia - Social and Behavioral Sciences, 58, 1425-1433, 2012.
  • Maharjan R, Hanaoka S. “Warehouse location determination for humanitarian relief distribution in nepal”. Transportation Research Procedia, 25, 1151-1163, 2017.
  • Korpela J, Tuominen M. “A decision aid in warehouse site selection”. International Journal of Production Economics, 45, 169-180, 1996.
  • Hidaka K, Okano H. “Simulation-Based approach to the warehouse location problem for a large-scale real instance”. Proceedings of the 1997 Winter Simulation Conference, Atlanta, Georgia, USA, 1997.
  • Kratica J, Tosic D, Filipovic V. “Solving the Uncapacitated warehouse location problem by SGA with Add-Heuristic”. XV. ECPD International Conference on Material Handling and Warehousing, Belgrade, Serbia, 09-10 December 1998.
  • Vlachopoulou M, Silleos G, Manthou V. “Geographic information systems in warehouse site selection decisions”. International Journal of Production Economics, 71, 205-212, 2001.
  • Drezner Z, Scott C, Song JS. “The central warehouse location problem revisited”. IMA Journal of Management Mathematics, 14(4), 321-336, 2003.
  • Colson G, Dorigo F. “A public warehouses selection support system”. European Journal of Operational Research, 153, 332-349, 2004.
  • Michel L, Van Hentenryck P. “A simple tabu search for warehouse location”. European Journal of Operational Research, 157(3), 576-591, 2004.
  • Oum P, Park JH. “Multinational firms’ location preference for regional distribution centers: Focus on the northeast asian region”. Transportation Research Part E, 40, 101-121, 2004.
  • Zevgolis IE, Mavrikos AA, Kaliampakos DC. “Construction, storage capacity and economics of an underground warehousing-logistics center in Athens, Greece”. Tunneling and Underground Space Technology, 19, 165-173, 2004.
  • Sharma RRK, Berry V. “Developing new formulations and relaxations of single stage capacitated warehouse location problem (SSCWLP): Empirical investigation for assessing relative strengths and computational effort”. European Journal of Operational Research, 177(2), 803-812, 2007.
  • Liu LB, Berger P, Zeng A, Gerstenfeld A. “Applying the analytic hierarchy process to the offshore outsourcing location decision”. Supply Chain Management: An International Journal,13 (6), 435-449, 2008.
  • Chen, C. “A decision model of field depot location based on the centrobaric method and analytic hierarchy process (AHP)”. International Journal of Business and Managament, 4(7), 71-75, 2009.
  • Ou CW, Chou SY. “International distribution center selection from a foreign market perspective using a weighted fuzzy factor rating system”. Expert Systems with Applications, 36, 1773-1782, 2009.
  • Beltran PA, Ferrando JPP, Garcia FG, Agulio AP. “An analytic network process approach for siting a municipal solid waste plant in the metropolitan area of Valencia (Spain)”. Journal of Environmental Management, 91, 1071-1086, 2010.
  • Cura, T. “A parallel local search approach to solving the uncapacitated warehouse location problem”. Computers & Industrial Engineering, 59, 1000-1009, 2010.
  • Demirel T, Demirel NÇ, Kahraman C. “Multi-Criteria warehouse location selection using choquet integral”. Expert Systems with Applications, 37, 3943-3952, 2010.
  • Ekmekcioglu M, Kaya T, Kahraman C. “Fuzzy multicriteria disposal method and site selection for municipal solid waste”. Waste Management, 30(8-9), 1729-1736, 2010.
  • Kuo MS. “Optimal location selection for an international distribution center by using a new hybrid method”. Expert Systems with Applications, 38, 7208-7221, 2011.
  • Ozcan T, Celebi N, Esnaf S. “Comparative analysis of multi criteria decision making methodologies and implementation of a warehouse location selection problem”. Expert Systems with Applications, 38, 9773-9779, 2011.
  • Ozesenli ON. Tedarik Zinciri Yönetiminde Optimal Depo Yeri Seçimi, Doktora Tezi, Yıldız Teknik Üniversitesi, İstanbul, Türkiye, 2011.
  • Yilmaz B, Dagdeviren M, Akcayol MA. "Hızlı tüketim malları depo yeri seçimi problemi için genetik algoritma ile bir çözüm". XI. Üretim Araştırmaları Sempozyumu, İstanbul, Türkiye, 23-24 Haziran 2011.
  • Bu L, Van Duin JHR, Wiegmans B, Luo Z, Yin C. “Selection of city distribution locations in urbanized areas”. Procedia-Social and Behavioral Sciences, 39, 556-567, 2012.
  • Ashrafzadeh M, Rafiei FM, Isfahani NM, ZareZ. “Application of fuzzy TOPSIS method for the selection of warehouse location: A case study”. Interdisciplinary Journal of Contemporary Research in Business, 3(9), 655-671, 2012.
  • Caka, E. Tedarik Zinciri Yönetiminde Choquet Integral Yöntemi ile Depo Yeri Seçimi. Yüksek Lisans Tezi, İstanbul Teknik Üniversitesi, İstanbul, Türkiye, 2012.
  • Aktepe A, ErsozS. “AHP-VIKOR ve MOORA yöntemlerinin depo yeri seçim probleminde uygulanması”. Journal of Industrial Engineering (Turkish Chamber of Mechanical Engineers), 25(1-2), 2-15, 2014.
  • Durmus A, Turk SS. “Factors influencing location selection of warehouses at the intra-urban level: Istanbul case”. European Planning Studies, 22(2), 268-292, 2014.
  • Garcia JL, Alvarado A, Blanco J, Jimenez E, Maldonado AA, Cortes G. “Multi-Attribute evaluation and selection of sites for agricultural product warehouses based on an analytic hierarchy process”. Computers and Electronics in Agriculture, 100, 60-69, 2014.
  • Rath S, Gutjahr WJ. “A math-heuristic for the warehouse location-routing problem in disaster relief”. Computers &Operations Research, 42, 25-39, 2014.
  • Segura E, Benitez RBC, Lozano A. “Dynamic location of distribution centres, a real case study”. Transportation Research Procedia, 3, 547-554, 2014.
  • Dey B, Bairagi B, Sarkar B, Sanyal SK. “Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria”. International Journal of Management Science and Engineering Management, 11(4), 1-17, 2015.
  • Chotithammaporn W, Sannok R, Mekhum W, Rungsrisawat S, Poonpetpun P, Wongleedee K. “The development of physical distribution center in marketing for small and micro community enterprise (SMCE) product in Bangkontee, Samut Songkram”. Procedia - Social and Behavioral Sciences, 207, 121-124, (2015).
  • Huang S, Wang Q, Batta R, Nagi R. “An integrated model for site selection and space determination of warehouses”. Computers & Operations Research, 62, 169-176, 2015.
  • Jayant A. “Use of grey relational analysis in solving multiple attribute decision-making problem: A case study of warehouse location selection”. Advances in Industrial Engineering and Management, 4 (2), 157-164, 2015.
  • Karmaker C, Saha M. “Optimization of warehouse location through fuzzy multi-criteria decision making methods”. Decision Science Letters, 4(3), 315-334, 2015.
  • Monthatipkul, C. “A non-linear program to find an approximate location of a second warehouse: A case study”. Kasetsart Journal of Social Sciences, 37, 190-201, 2016.
  • Ozbek A, Erol E. “COPRAS ve MOORA yöntemlerinin depo yeri seçim problemine uygulanması”. JEBPIR, 2(1), 23-42, 2016.
  • Yılmaz H, Kabak O. “A multiple objective mathematical program to determine locations of disaster response distribution centers”. IFAC-PapersOnline, 49(12), 520-525, 2016.
  • Björklund M, Abrahamsson M, Johansson H. “Critical factors for viable business models for urban consolidation centres”. Research in Transportation Economics, 64, 36-47, 2017.
  • Dey B, Bairagi B, Sarkar B, Sanyal SK. “Group heterogeneity in multi member decision making model with an application to warehouse location selection in a supply chain”. Computers & Industrial Engineering, 105, 101-122, 2017.
  • He Y, Wang X, Lin Y, Zhou F, Zhou L. “Sustainable decision making for joint distribution center location choice”. Transportation Research Part D, 55,202-216, 2017.
  • Golda IJ, Izdebski M. “The multi-criteria decision support in choosing the efficient location of warehouses in the logistic network”. Procedia Engineering, 187, 635-640, 2017.
  • Foroozesh N, Moghaddam RT, Mousavi SM. “A novel group decision model based on mean-variance-skewness concepts and interval-valued fuzzy sets for a selection problem of the sustainable warehouse location under uncertainty”. Neural Computing and Applications, 30, 3277-3293, 2018.
  • Mousavi SM. “A new interval-valued hesitant fuzzy pairwise comparison-compromise solution methodology: an application to cross-docking location planning”. Neural Computing and Applications, 31, 5159-5173, 2018.
  • Petrovic GS, Madic M, Antucheviciene J. “An approach for robust decision making rule generation: Solving transport and logistics decision making problems”. Expert Systems With Applications, 106, 263-276, 2018.
  • Roh SY, Shin YR, Seo YJ. “The Pre-positioned warehouse location selection for international humanitarian relief logistics”. The Asian Journal of Shipping and Logistics, 34(4), 297-307, 2018.
  • Singh RK, Chaudhary N, Saxena N. “Selection of warehouse location for a global supply chain: A case study”. IIMB Management Review, 30, 343-356, 2018.
  • You M, Xiao Y, Zhang S, Yang P, Zhou S. “Optimal mathematical programming for the warehouse location problem with Euclidean distance linearization”. Computers & Industrial Engineering, 136, 70-79, 2019.
There are 51 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Özel Sayı
Authors

Ramazan Eyüp Gergin This is me

İskender Peker

Publication Date December 31, 2019
Published in Issue Year 2019 Volume: 25 Issue: 9

Cite

APA Gergin, R. E., & Peker, İ. (2019). Literature review on success factors and methods used in warehouse location selection. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 25(9), 1062-1070.
AMA Gergin RE, Peker İ. Literature review on success factors and methods used in warehouse location selection. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. December 2019;25(9):1062-1070.
Chicago Gergin, Ramazan Eyüp, and İskender Peker. “Literature Review on Success Factors and Methods Used in Warehouse Location Selection”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 25, no. 9 (December 2019): 1062-70.
EndNote Gergin RE, Peker İ (December 1, 2019) Literature review on success factors and methods used in warehouse location selection. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 25 9 1062–1070.
IEEE R. E. Gergin and İ. Peker, “Literature review on success factors and methods used in warehouse location selection”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, vol. 25, no. 9, pp. 1062–1070, 2019.
ISNAD Gergin, Ramazan Eyüp - Peker, İskender. “Literature Review on Success Factors and Methods Used in Warehouse Location Selection”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 25/9 (December 2019), 1062-1070.
JAMA Gergin RE, Peker İ. Literature review on success factors and methods used in warehouse location selection. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2019;25:1062–1070.
MLA Gergin, Ramazan Eyüp and İskender Peker. “Literature Review on Success Factors and Methods Used in Warehouse Location Selection”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, vol. 25, no. 9, 2019, pp. 1062-70.
Vancouver Gergin RE, Peker İ. Literature review on success factors and methods used in warehouse location selection. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2019;25(9):1062-70.





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