Author
Albey, Erinc, Ertaban, Cihangir
Publication Date
2024-01-01
Publication Place
-
IEEE
Subject
Simulation, Optimization methods, Decision tree regression, Clearing functions, Decision trees, Agile software development, Teamwork, Resource management, Optimization methods, Servers, Solid modeling, Analytical models, Simulation
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
2169-3536
Record ID
31e5d397-a430-4ae3-8ddc-bcebfc807030
Library Location
Industrial Engineering
Date
2024-01-01
Sample Text
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
