A Discrete-Time Resource Allocated Project Scheduling Model

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Date

2022

Authors

Berkay Çataltuğ
Helin Su Çorapcı
Levent Kandiller
Fatih Kağan Keremit
Giray Bingöl Kırbaş
Özge Ötleş
Atakan Özerkan
Hazal Tucu
Damla Yüksel

Journal Title

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Volume Title

Publisher

Springer Science and Business Media Deutschland GmbH

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Green Open Access

No

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Average
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Average
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Average

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Abstract

Project Management involves the implementation of knowledge and skills to meet project requirements with beneficial tools and techniques. Project Management consists of tools that provide improvement in the pillars of time cost and quality. Discrete-Time Resource Allocated Project Scheduling Model (DTRAPS) is developed to minimize time to maximize quality and to minimize the cost of a project together in one tool. By means of this tool it is possible to allocate the resources over the project tasks in an optimized way with respect to each pillar of the triangle. Moreover sensitivity analysis on the model is done with the number of activities resource number and available time window parameters. The results indicate that the model is robust. Since the model is taking a longer CPU time in solving large problems heuristics such as Greedy Smallest Requirements First (SRF) Largest Requirements First (LRF) and Randomized are developed together with Swap improvement algorithm. Heuristics are compared and analyzed. Last of all a dynamic and user-friendly decision support system is developed on Excel-VBA for the model solution via CPLEX solver and heuristics. © 2022 Elsevier B.V. All rights reserved.

Description

Keywords

Cost, Decision Support System, Discrete-time Resource Allocation, Dtraps, Heuristics, Project Scheduling Problem, Quality, Time, Artificial Intelligence, Scheduling, Sensitivity Analysis, Discrete Time, Discrete-time Resource Allocated Project Scheduling Model, Discrete-time Resource Allocation, Heuristic, Project Scheduling, Project Scheduling Problem, Quality, Resources Allocation, Scheduling Models, Time, Decision Support Systems, Artificial intelligence, Scheduling, Sensitivity analysis, Discrete time, Discrete-time resource allocated project scheduling model, Discrete-time resource allocation, Heuristic, Project scheduling, Project scheduling problem, Quality, Resources allocation, Scheduling models, Time, Decision support systems, COST, Heuristics, Decision Support System, Project Scheduling Problem, time, DTRAPS, Quality, Discrete-Time Resource Allocation

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1

Source

International Symposium for Production Research ISPR2021

Volume

Issue

Start Page

616

End Page

629
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1

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