Affiliation:
1. GIRESUN UNIVERSITY
2. ANADOLU ÜNİVERSİTESİ
3. GEBZE TECHNICAL UNIVERSITY
Abstract
In today's competitive market conditions, it is not enough to produce high-quality products at the cheapest price. Businesses are expected to deliver the product to the end user round the clock and around the world. One effective way to achieve this is through effective logistics management (Büyükçetin, 2003). Recently, agility has become a frequently discussed topic when it comes to creating an effective logistics management system. The word agility has become synonymous with a strategic response to the survival of businesses in today's competitive environment. However, it should be noted that every business has its unique philosophy and operates under the influence of different environmental factors. Therefore, there is no single agility concept that is suitable for all businesses or every situation (İlhan, 2007). Creating an agile logistics strategy can be achieved not only by minor changes but also by completely differentiating the methods of performing activities (Gunesakaran,1999). The creation of this differentiation depends on various success factors. The success factors of agile logistics considered in this study include: “Managing Change and Uncertainty”, “Flexibility and Responsiveness in Service”, “Increasing the Value Shown to the Customer”, “Information Technologies”, “Flexible Human Resources” and “Building Collaborations Among Service Providers”. These factors play a crucial role in the success of businesses and can increase their competitiveness. The absence of studies in the literature regarding the ranking of the success factors in agile logistics applications points to the important contribution of this study to the literature.To address this research gap, this study aims to rank the success factors of agile logistics practices in logistics firms in Giresun and Ordu provinces. The ranking will be done using the Spherical fuzzy sets based AHP. By prioritizing these success factors, businesses can identify the areas they need to focus on and improve, ultimately enhancing their competitiveness and success in the market.
Subject
Applied Mathematics,General Mathematics
Reference57 articles.
1. Arslan, A. (2011). The applicability of agile manufacturing management system on apparel: Regional Development Agency Level 2 TR72 (Kayseri, Sivas and Yozgat) example. Unpublished Master Thesis, Gazi University, Ankara.
2. Ashraf, S., & Abdullah, S. (2019). Spherical aggregation operators and their application in multiattribute group decision-making. Int J Intell Syst, 34(3),493–523. https://doi.org/10.1002/int.22062.
3. Atanacković, A. (2019). The Implementation of Agile Project Management in the Fast Fashion Industry. European Project Management Journal, 9(1), 42-51. https://doi.org/10.18485/epmj.2019.9.1.6
4. Baki, B. (2003). 21. Yüzyılın Üretim Paradigması: Çevik Üretim, Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 17(1-2), 291-305.
5. Barahona, F., Ettl, M., Petrik, M., & Rimshnick, P. M. (2013). Agile Logistics Simulation and Optimization for Managing Disaster Responses. Proceedings of the 2013 Winter Simulation Conference (WSC), Washington, DC, USA (pp. 3341-3351). https://doi.org/ 10.1109/WSC.2013.6721698.