Bir kargo şirketi için süreç iyileştirme çalışmaları

Yıl 2021, Cilt: 10 Sayı: 2, 576 - 581, 27.07.2021

Sevgi Yılmaz Nazlıcan Arslan Murat Oturakcı

https://doi.org/10.28948/ngumuh.700962

Öz

Bu çalışmada, bir kargo şirketinde sistem analizi ve iyileştirme uygulamaları dikkate alınmış ve şirketin mevcut sisteminde bazı sorunlar tespit edilmiştir. Bu çalışma kapsamında, niteliksiz araç tipi kullanımı ve araç içi raf bulunmamasından kaynaklanan verimsiz alan kullanımı, paketleri araca yükleme ve indirme işlemi sırasında oluşan zaman kayıpları ve paket hasarı gibi problemleri çözmek amacıyla çok kriterli karar verme yöntemleri uygulanarak şirket için en uygun araç ve seçilen araca uygun araç içi raf tipi seçimi hedeflenmiştir. Ayrıca, GAMS programı yardımıyla şirket için büyük maliyet oluşturan dağıtım maliyetini en aza indirmek için araç rotalama problemi ele alınmıştır. Talep, taşıt miktarı ve taşıt kapasite kısıtlarına göre bir transfer merkezinden on sekiz şubeye rotalar yeniden oluşturulmuştur. Şirketin sisteminde mevcut olan sorunlar kümesi ile ilgilenerek, daha etkili bir sistem sağlamaya çalışılmıştır

Anahtar Kelimeler

Sistem Analizi ve İyileştirme, Araç Rotalama Problemi, GAMS, Çok Kriterli Karar Verme

Process improvement applications for a cargo company

Öz

In this study, system analysis and improvement applications in a cargo company have been considered and some problems have been detected in the company`s current system. In the content of this study, multi-criteria decision-making methods have been implemented to select a vehicle and intra-vehicle shelf type to solve problems about space usage, time losses and package damage due to incorrect vehicle type and absence of intra-vehicle shelf. Besides, to minimize transportation costs which impose significant expenses to the company, the vehicle routing problem is considered with the help of the GAMS (General Algebraic Modelling System) program. In vehicle routing problem, it is aimed at one transfer center to eighteen branches, under the demand, amount of vehicle and capacity of vehicle constraints. While concerning the set of problems that exist in the company`s current system, it`s attempted to provide a more effective system.

Anahtar Kelimeler

System Analysis and Improvement, Vehicle Route Problem, GAMS, Multi-Criteria Decision Making

Kaynakça

• System, “What is system”, https://searchwindow sserver.techtarget.com/definition/system, Accessed: 5 March 2020.
• System Analysis and Design, “System Analysis”, https://searchwindowsserver.techtarget.com/definition/system Accessed: 5 March 2020.
• Benefits of System Analysis, http://benefitof.net/ benefits-of-systems-analysis/, Accessed: 5 March 2020,
• H. Min, Selection of software: The analytic hierarchy process. International Journal of Physical Distribution & Logistics Management, 22(1), 42–52, 1992. https://doi.org/10.1108/09600039210010388
• M. R. Khan, Business process reengineering of an air cargo handling process. International Journal of Production Economics, 63(1), 99-108, 2000. https://doi.org/10.1016/S0925-5273(99)00003-1
• K. M. A.-S. Al-Harbi, Application of the AHP in project management. International Journal of Project Management, 19(1), 19–27, 2001. https://doi.org/ 10.1016/S0263-7863(99)00038-1
• E. Demireli, TOPSIS multi-criteria decision-making method: An examination on state owned commercial banks in Turkey. Journal of Entrepreneurship and Development, 5(1), 101-112, 2010.
• Bhutia, P. W., & Phipon, R. (2012). Application of AHP and TOPSIS method for supplier selection problem. IOSR Journal of Engineering, 2(10), 43-50.
• L. Shi, J. Evans, and Y. Li, A systems analysis of drivers of individual bankruptcies. Economic Papers: A Journal of Applied Economics and Policy, 37(4), 390-398, 2018. https://doi.org/10.1111/1759-3441.12229
• E. Mavhura, Analysing drivers of vulnerability to flooding: A systems approach. South African Geographical Journal, 101(1), 72-90, 2019. https://doi.org/10.1080/03736245.2018.1541020
• T. Göçken, M. Yaktubay ve F. Kılıç, Zaman pencereli araç rotalama problemi çözümü için çok amaçlı genetik algoritma yaklaşımı. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, 6(4), 774-786, 2018. https://doi.org/10.29109/gujsc.397543
• D, Pisinger, and S. Ropke, Large neighborhood search. In Handbook of metaheuristics. Springer, pp. 399-419 Boston, MA. 2010
• G. Desaulniers, F. Errico, S. Irnich, and M. Schneider, Exact algorithms for electric vehicle-routing problems with time windows. Operations Research, 64(6), 1388-1405, 2016. https://doi.org/10.1287/opre.2016.1535
• General Algebraic Modeling (GAMS), “Introduction to GAMS”, www.gams.com, Accessed: 5 March 2020,
• M. Oturakçı ve I. Uyan, Optimization of a vehicle routing problem in a logistics company in turkey. Alphanumeric Journal , 2(2) , 13-24, 2014. . https://doi.org/0.17093/aj.2014.2.2.5000084653
• D. Xu, and R. Xiao, Modelling and intelligent solving of foodstuff distribution VRP based on disruption management. International Journal of Computer Applications in Technology, 44(2), 80, 2012. https://doi.org/10.1504/IJCAT.2012.048676
• G. R. Jahanshahloo, F. Hosseinzadeh Lotfi, and A. R. Davoodi, Extension of TOPSIS for decision-making problems with interval data: Interval efficiency. Mathematical and Computer Modelling, 49(5-6), 1137–1142, 2009. https://doi.org/10.1016/j.mcm. 2008.07.009
• R. Ewa, Multi-criteria decision-making models by applying the TOPSIS method to crisp and interval data. Multiple Criteria Decision Making, (6), 200-230, 2011. https://mcdm.ue.katowice.pl/files/mcdm11.pdf#page=200
• T. L. Saaty, The analytical hierarchy process, planning, priority. Resource allocation. RWS publications, USA, 1980.