Simulation based resource optimization using a decision tree clearing function

Name: Simulation based resource optimization using a decision tree clearing function
Author: Albey, Erinc, Ertaban, Cihangir

İsim	Simulation based resource optimization using a decision tree clearing function
Yazar	Albey, Erinc, Ertaban, Cihangir
Basım Tarihi:	2024-01-01
Basım Yeri	- IEEE
Konu	Simulation, Optimization methods, Decision tree regression, Clearing functions, Decision trees, Agile software development, Teamwork, Resource management, Optimization methods, Servers, Solid modeling, Analytical models, Simulation
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2169-3536
Kayıt Numarası	31e5d397-a430-4ae3-8ddc-bcebfc807030
Lokasyon	Industrial Engineering
Tarih	2024-01-01
Örnek Metin	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

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Simulation based resource optimization using a decision tree clearing function

Yazar Albey, Erinc, Ertaban, Cihangir

Basım Tarihi 2024-01-01

Basım Yeri - IEEE

Konu Simulation, Optimization methods, Decision tree regression, Clearing functions, Decision trees, Agile software development, Teamwork, Resource management, Optimization methods, Servers, Solid modeling, Analytical models, Simulation

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2169-3536

Kayıt Numarası 31e5d397-a430-4ae3-8ddc-bcebfc807030

Lokasyon Industrial Engineering

Tarih 2024-01-01

Örnek Metin 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