Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2020, Cilt: 33 Sayı: 2, 413 - 427, 01.06.2020
https://doi.org/10.35378/gujs.552070

Öz

Kaynakça

  • [1] Rantasila K; Lauri O. Measurement of National-Level Logistics Costs and Performance. ITF Discussion Paper, No.2012-4, 2012; pp. 10-14.
  • [2] National Skills Development Corporation (NSDC). Human Resource and Skill Requirements Report (2017-22): https://www.voced.edu.au/content/ngv%3A78369 (accessed on 24 Dec 2018).
  • [3] Aguezzoul A.; Pires S. 3PL performance evaluation and selection: A MCDM method. Suppl Ch Forum Int J 2016;17(2):87-94.
  • [4] Ahıskalı M. A Goal Programming Model Supported with Multi-Criteria Decision Making Approachs for Third Party Logistics Service Provider Selection Problem. Master of Science Thesis, Kırıkkale University, Kırıkkale, 2018.
  • [5] Göl H.; Çatay B. Third-party logistics provider selection: insights from a Turkish automotive company. Suppl Ch Manage Int J 2007;12(6):379-84.
  • [6] Soh SH. A decision model for evaluating third-party logistics providers using fuzzy analytic hierarchy process. Afr J Bus Manage 2010;4(3):339- 49.
  • [7] Vijayvargiya A; Dey AK. An analytical approach for selection of a logistics provider. Manage Decis 2010;48(3):403 – 18.
  • [8] Barker TJ; Zabinsky ZB. A multicriteria decision making model for reverse logistics using analytical hierarchy process. Omega 2011;39(5):558-73.
  • [9] Daim TU; Udbye A; Balasubramanian A. Use of analytic hierarchy process (AHP) for selection of 3PL providers. J Manuf Techn Manage 2012;24(1): 28-51.
  • [10] Hwang B; Chen T; Lin J. 3PL selection criteria in integrated circuit manufacturing industry in Taiwan. Suppl Ch Manage Int J 2016;21(1):103-24.
  • [11] Gürcan ÖF; Yazıcı İ; Beyca ÖF; Arslan ÇY; Eldemir F. Third party logistics (3PL) provider selection with AHP application. Proc Soc Behav Sci 2016;235(1):226 – 34.
  • [12] Jharkharia S; Shankar R. Selection of logistics service provider: an analytic network process (ANP) approach. Omega 2007; 35(3):274-89.
  • [13] Özbek A; Eren T. Selection of third-party logistics (3PL) firms with analytical network process approach. Atatürk Üni J Econ Admin Sci 2013;27(1):95-113.
  • [14] Qureshi MN; Kumar D; Kumar P. Selection of Potential 3PL Services Providers Using TOPSIS with Interval Data. IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, Jan 2007, pp. 1512-16.
  • [15] Aguezzoul A; Rabenasoloo B; Jolly-Desodt AM. Multicriteria Decision Aid Tool for Third-Party Logistics Providers’ Selection. International Conference Service Systems and Service Management (ICSSSM), France, Oct 2006, pp. 912-16.
  • [16] Govindan K; Khodaverdi R; Vafadarnikjoo A. A grey DEMATEL approach to develop third-party logistics provider selection criteria. Ind Manage Data Sys 2015;116(4):690-722.
  • [17] Kulak O; Kahraman C. Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process. Infor Sci 2005;170(2):191-210.
  • [18] Bottani E; Rizzi A. A fuzzy TOPSIS methodology to support outsourcing of logistic services. Suppl Ch Manage Int J 2006;11(4):294-308.
  • [19] Kasture SS; Qureshi MN; Kumar P; Gupta I. FAHP sensitivity analysis for selection of third party logistics (3PL) service providers. The Icfai Uni J Suppl Ch Manage 2008;5(4):41-60.
  • [20] Çakır E; Tozan H; Vayvay O. A method for selecting third party logistic service provider using fuzzy AHP. J Nav Sci Eng 2009;5(3):38-54.
  • [21] Chiang Z; Tzeng GH. A third party logistics provider for the best selection in fuzzy dynamic decision environments. Int J Fuzz Sys 2009;11(1):1-9.
  • [22] Yayla AY; Öztekin A; Gümüş AT; Gunasekaran AA. Hybrid data analytic methodology for 3PL ransportation provider evaluation using fuzzy multi-criteria decision making. Int J Prod Res 2015;53(20):6097-6113.
  • [23] Ko HJ; Ko CS; Kim T. A hybrid optimization/simulation approach for a distribution network design of 3PLs. Compt Ind Eng 2006;50(4):440–49.
  • [24] Sharma SK; Kumar V. Optimal selection of third-party logistics service providers using quality function deployment and Taguchi loss function. Benchmarking Int J 2014;22(7):1281-1300.
  • [25] Kumar M; Vrat P; Shankar R. A multi-objective 3PL allocation problem for fish distribution. Int J Phys Distrib Logist Manag 2006;36(9):702-15.
  • [26] Araz C; Özfırat PM; Özkarahan I. An integrated multicriteria decision-making methodology for outsourcing management. Compt Opera Res 2007;34(12):3738-56.
  • [27] Perçin S. Evaluation of third-party logistics (3PL) providers by using a two-phase AHP and TOPSIS methodology. Benchmarking Int J 2009;16(5):588-604.
  • [28] Raut R; Kharat M; Kamble S; Kumar CS. Sustainable evaluation and selection of potential third-party logistics (3PL) providers an ıntegrated MCDM approach. Benchmarking Int J 2018; 25(1):76-97.
  • [29] Bianchini A. 3PL provider selection by AHP and TOPSIS methodology. Benchmarking Int J 2018; 25(1):235-52.
  • [30] Singh RK; Gunasekaran A; Kumar P. Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach. Ann Oper Res 2017;267(1-2):531-53.
  • [31] Velasquez M; Hester PT. An analysis of multi-criteria decision making methods. Int J Opera Res 2013;10(2):56–66.
  • [32] Özcan EC, Ünlüsoy S, Eren T. A combined goal programming – AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants. Renew Sustain Energy Rev 2017;78:1410-23.
  • [33] Saaty TL. Decision making with the analytic hierarchy process. Int J Serv Sci 2008;1(1):83-98.
  • [34] Hwang CL, Yoon K. Multiple Attribute Decision Making: Methods and Applications. New York: Springer-Verlag; 1981.
  • [35] Saaty TL. How to make a cecision: the analytic hierarchy process. Eur J Opera Res 1990;48:9-26.
  • [36] Charnes A; Cooper WW. Goal programming and multiple objective optimizations. Eur J Opera Res 1977;I:39-54.

3PL Service Provider Selection with a Goal Programming Model Supported with Multicriteria Decision Making Approaches

Yıl 2020, Cilt: 33 Sayı: 2, 413 - 427, 01.06.2020
https://doi.org/10.35378/gujs.552070

Öz

In this study, third-party logistics (3PL) service provider selection problem is handled for a foreign trade company that exports the products with high quality level obtained by outsourcing, and who has problems regarding both cost, delivery quality and delivery time. In this direction, 7 criteria are determined for effective evaluation of the performance of the 5 logistics service providers the company is working for and the determination of the most suitable 3PL service provider according to the property of the orders (quantity, mode of conveyance, transportation channel, etc.). The priority levels of service providers are calculated by using these criteria in the combination of Analytic Hierarchy Process (AHP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Then, a goal programming (GP) model that answers the question of which service provider to choose for which order, considering these priority values and the 12 system constraints and 5 objectives that the company encountered in real life is proposed. This model is the first one proposed in the literature for the selection of 3PL service providers for multimodal international transport with consistent results. The model is solved for the current 10 orders using the last 1-year data of the company and the most appropriate 3PL service provider combination is obtained. As a result of the solution of the problem with this methodology, an improvement is achieved about 7% for the rate of delivery on time, 33% for bid - bill consistency rate, and 29% for the problematic delivery rate.

Kaynakça

  • [1] Rantasila K; Lauri O. Measurement of National-Level Logistics Costs and Performance. ITF Discussion Paper, No.2012-4, 2012; pp. 10-14.
  • [2] National Skills Development Corporation (NSDC). Human Resource and Skill Requirements Report (2017-22): https://www.voced.edu.au/content/ngv%3A78369 (accessed on 24 Dec 2018).
  • [3] Aguezzoul A.; Pires S. 3PL performance evaluation and selection: A MCDM method. Suppl Ch Forum Int J 2016;17(2):87-94.
  • [4] Ahıskalı M. A Goal Programming Model Supported with Multi-Criteria Decision Making Approachs for Third Party Logistics Service Provider Selection Problem. Master of Science Thesis, Kırıkkale University, Kırıkkale, 2018.
  • [5] Göl H.; Çatay B. Third-party logistics provider selection: insights from a Turkish automotive company. Suppl Ch Manage Int J 2007;12(6):379-84.
  • [6] Soh SH. A decision model for evaluating third-party logistics providers using fuzzy analytic hierarchy process. Afr J Bus Manage 2010;4(3):339- 49.
  • [7] Vijayvargiya A; Dey AK. An analytical approach for selection of a logistics provider. Manage Decis 2010;48(3):403 – 18.
  • [8] Barker TJ; Zabinsky ZB. A multicriteria decision making model for reverse logistics using analytical hierarchy process. Omega 2011;39(5):558-73.
  • [9] Daim TU; Udbye A; Balasubramanian A. Use of analytic hierarchy process (AHP) for selection of 3PL providers. J Manuf Techn Manage 2012;24(1): 28-51.
  • [10] Hwang B; Chen T; Lin J. 3PL selection criteria in integrated circuit manufacturing industry in Taiwan. Suppl Ch Manage Int J 2016;21(1):103-24.
  • [11] Gürcan ÖF; Yazıcı İ; Beyca ÖF; Arslan ÇY; Eldemir F. Third party logistics (3PL) provider selection with AHP application. Proc Soc Behav Sci 2016;235(1):226 – 34.
  • [12] Jharkharia S; Shankar R. Selection of logistics service provider: an analytic network process (ANP) approach. Omega 2007; 35(3):274-89.
  • [13] Özbek A; Eren T. Selection of third-party logistics (3PL) firms with analytical network process approach. Atatürk Üni J Econ Admin Sci 2013;27(1):95-113.
  • [14] Qureshi MN; Kumar D; Kumar P. Selection of Potential 3PL Services Providers Using TOPSIS with Interval Data. IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, Jan 2007, pp. 1512-16.
  • [15] Aguezzoul A; Rabenasoloo B; Jolly-Desodt AM. Multicriteria Decision Aid Tool for Third-Party Logistics Providers’ Selection. International Conference Service Systems and Service Management (ICSSSM), France, Oct 2006, pp. 912-16.
  • [16] Govindan K; Khodaverdi R; Vafadarnikjoo A. A grey DEMATEL approach to develop third-party logistics provider selection criteria. Ind Manage Data Sys 2015;116(4):690-722.
  • [17] Kulak O; Kahraman C. Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process. Infor Sci 2005;170(2):191-210.
  • [18] Bottani E; Rizzi A. A fuzzy TOPSIS methodology to support outsourcing of logistic services. Suppl Ch Manage Int J 2006;11(4):294-308.
  • [19] Kasture SS; Qureshi MN; Kumar P; Gupta I. FAHP sensitivity analysis for selection of third party logistics (3PL) service providers. The Icfai Uni J Suppl Ch Manage 2008;5(4):41-60.
  • [20] Çakır E; Tozan H; Vayvay O. A method for selecting third party logistic service provider using fuzzy AHP. J Nav Sci Eng 2009;5(3):38-54.
  • [21] Chiang Z; Tzeng GH. A third party logistics provider for the best selection in fuzzy dynamic decision environments. Int J Fuzz Sys 2009;11(1):1-9.
  • [22] Yayla AY; Öztekin A; Gümüş AT; Gunasekaran AA. Hybrid data analytic methodology for 3PL ransportation provider evaluation using fuzzy multi-criteria decision making. Int J Prod Res 2015;53(20):6097-6113.
  • [23] Ko HJ; Ko CS; Kim T. A hybrid optimization/simulation approach for a distribution network design of 3PLs. Compt Ind Eng 2006;50(4):440–49.
  • [24] Sharma SK; Kumar V. Optimal selection of third-party logistics service providers using quality function deployment and Taguchi loss function. Benchmarking Int J 2014;22(7):1281-1300.
  • [25] Kumar M; Vrat P; Shankar R. A multi-objective 3PL allocation problem for fish distribution. Int J Phys Distrib Logist Manag 2006;36(9):702-15.
  • [26] Araz C; Özfırat PM; Özkarahan I. An integrated multicriteria decision-making methodology for outsourcing management. Compt Opera Res 2007;34(12):3738-56.
  • [27] Perçin S. Evaluation of third-party logistics (3PL) providers by using a two-phase AHP and TOPSIS methodology. Benchmarking Int J 2009;16(5):588-604.
  • [28] Raut R; Kharat M; Kamble S; Kumar CS. Sustainable evaluation and selection of potential third-party logistics (3PL) providers an ıntegrated MCDM approach. Benchmarking Int J 2018; 25(1):76-97.
  • [29] Bianchini A. 3PL provider selection by AHP and TOPSIS methodology. Benchmarking Int J 2018; 25(1):235-52.
  • [30] Singh RK; Gunasekaran A; Kumar P. Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach. Ann Oper Res 2017;267(1-2):531-53.
  • [31] Velasquez M; Hester PT. An analysis of multi-criteria decision making methods. Int J Opera Res 2013;10(2):56–66.
  • [32] Özcan EC, Ünlüsoy S, Eren T. A combined goal programming – AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants. Renew Sustain Energy Rev 2017;78:1410-23.
  • [33] Saaty TL. Decision making with the analytic hierarchy process. Int J Serv Sci 2008;1(1):83-98.
  • [34] Hwang CL, Yoon K. Multiple Attribute Decision Making: Methods and Applications. New York: Springer-Verlag; 1981.
  • [35] Saaty TL. How to make a cecision: the analytic hierarchy process. Eur J Opera Res 1990;48:9-26.
  • [36] Charnes A; Cooper WW. Goal programming and multiple objective optimizations. Eur J Opera Res 1977;I:39-54.
Toplam 36 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Industrial Engineering
Yazarlar

Evrencan Özcan 0000-0002-3662-6190

Merve Ahıskalı Bu kişi benim 0000-0001-7532-186X

Yayımlanma Tarihi 1 Haziran 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 33 Sayı: 2

Kaynak Göster

APA Özcan, E., & Ahıskalı, M. (2020). 3PL Service Provider Selection with a Goal Programming Model Supported with Multicriteria Decision Making Approaches. Gazi University Journal of Science, 33(2), 413-427. https://doi.org/10.35378/gujs.552070
AMA Özcan E, Ahıskalı M. 3PL Service Provider Selection with a Goal Programming Model Supported with Multicriteria Decision Making Approaches. Gazi University Journal of Science. Haziran 2020;33(2):413-427. doi:10.35378/gujs.552070
Chicago Özcan, Evrencan, ve Merve Ahıskalı. “3PL Service Provider Selection With a Goal Programming Model Supported With Multicriteria Decision Making Approaches”. Gazi University Journal of Science 33, sy. 2 (Haziran 2020): 413-27. https://doi.org/10.35378/gujs.552070.
EndNote Özcan E, Ahıskalı M (01 Haziran 2020) 3PL Service Provider Selection with a Goal Programming Model Supported with Multicriteria Decision Making Approaches. Gazi University Journal of Science 33 2 413–427.
IEEE E. Özcan ve M. Ahıskalı, “3PL Service Provider Selection with a Goal Programming Model Supported with Multicriteria Decision Making Approaches”, Gazi University Journal of Science, c. 33, sy. 2, ss. 413–427, 2020, doi: 10.35378/gujs.552070.
ISNAD Özcan, Evrencan - Ahıskalı, Merve. “3PL Service Provider Selection With a Goal Programming Model Supported With Multicriteria Decision Making Approaches”. Gazi University Journal of Science 33/2 (Haziran 2020), 413-427. https://doi.org/10.35378/gujs.552070.
JAMA Özcan E, Ahıskalı M. 3PL Service Provider Selection with a Goal Programming Model Supported with Multicriteria Decision Making Approaches. Gazi University Journal of Science. 2020;33:413–427.
MLA Özcan, Evrencan ve Merve Ahıskalı. “3PL Service Provider Selection With a Goal Programming Model Supported With Multicriteria Decision Making Approaches”. Gazi University Journal of Science, c. 33, sy. 2, 2020, ss. 413-27, doi:10.35378/gujs.552070.
Vancouver Özcan E, Ahıskalı M. 3PL Service Provider Selection with a Goal Programming Model Supported with Multicriteria Decision Making Approaches. Gazi University Journal of Science. 2020;33(2):413-27.