نویسنده
Albey, Erinc, Ertaban, Cihangir
تاریخ انتشار
2024-01-01
محل انتشار
-
IEEE
موضوع
Simulation, Optimization methods, Decision tree regression, Clearing functions, Decision trees, Agile software development, Teamwork, Resource management, Optimization methods, Servers, Solid modeling, Analytical models, Simulation
نوع
دوره ای
زبان
انگلیسی
دیجیتال
بله
نسخه خطی
خیر
کتابخانه
دانشگاه اوزیغین
شناسه دارایی کتابخانه
2169-3536
شماره ثبت
31e5d397-a430-4ae3-8ddc-bcebfc807030
محل کتابخانه
Industrial Engineering
تاریخ
2024-01-01
متن نمونه
This study presents a novel approach to resource allocation in software development teams working with Kanban. The simulation algorithm created in this study takes three types of resources, three types of work, resource capabilities, and a blocking mechanism different from the classic machine breakdown scenario. The data generated by the simulations are used to train a decision tree regression which is integrated into an optimization model as a clearing function. In numerical analysis, the research compares the decision tree clearing function to a straightforward two-step model that only takes the best of the simulation data and finds a resource allocation and a greedy heuristic algorithm which starts from an initial feasible solution and improves it step-by-step. Findings show that the developed decision tree clearing function model outperforms the other two benchmark models in mid and high amounts of data.
DOI
10.1109/ACCESS.2024.3393831
Cilt
12
