Yazarlar

• Gergin, Ramazan Eyup(1)
• Kordestani, Arash(1)
• Oghazi, Pejvak(1)
• Onur, İzmir(1)
• Peker, Iskender(1)
• Rad, Fakhreddin Fakhrai(1)

• MakaleAçık Erişim2025Scopus SJRQ1/r/gumushane/14177
  Adoption of AI-based order picking in warehouse: benefits, challenges, and critical success factors

  Rad, Fakhreddin Fakhrai; Oghazi, Pejvak; Onur, İzmir; Kordestani, Arash

  This research assesses the adoption of artificial intelligence (AI)-based batch order picking in a warehouse, focusing on benefits, challenges, and critical success factors. Using customer order data and simulation, the study employs a quantitative approach, combining mathematical and statistical estimations with qualitative examinations centered on interviews with the warehouse staff, its Enterprise Resource Planning (ERP) developer, and the AI developer. The findings of this mixed-method study reveal that the AI-based order-picking system (AI-based system) has improved order-picking efficiency by reducing travel distance and time. Nevertheless, challenges hinder maximum utilization of the system. In addition, the research highlights critical success factors and other benefits of adopting the system tailored to warehouse management. Understanding the lessons learned in this research is essential for businesses seeking to adopt AI to enhance their efficiency.

  AtıfScopus13·WoS5·OpenAlex5

  İncele
• Derleme MakaleAçık Erişim2019/r/gumushane/16566
  Literature review on success factors and methods used in warehouse location selection

  Gergin, Ramazan Eyup; Peker, Iskender

  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.

  AtıfWoS7·OpenAlex9·TR Dizin1

  İncele