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Javanmard, S., Afshar Nadjafi, B., Akhavan Niaki, S. (2018). Optimization of an energy based bi-objective multi skilled resource investment project scheduling problem. AUT Journal of Modeling and Simulation, 50(2), 31-40. doi: 10.22060/miscj.2018.13848.5084
Shima Javanmard; Behrouz Afshar Nadjafi; Seyed Taghi Akhavan Niaki. "Optimization of an energy based bi-objective multi skilled resource investment project scheduling problem". AUT Journal of Modeling and Simulation, 50, 2, 2018, 31-40. doi: 10.22060/miscj.2018.13848.5084
Javanmard, S., Afshar Nadjafi, B., Akhavan Niaki, S. (2018). 'Optimization of an energy based bi-objective multi skilled resource investment project scheduling problem', AUT Journal of Modeling and Simulation, 50(2), pp. 31-40. doi: 10.22060/miscj.2018.13848.5084
Javanmard, S., Afshar Nadjafi, B., Akhavan Niaki, S. Optimization of an energy based bi-objective multi skilled resource investment project scheduling problem. AUT Journal of Modeling and Simulation, 2018; 50(2): 31-40. doi: 10.22060/miscj.2018.13848.5084

Optimization of an energy based bi-objective multi skilled resource investment project scheduling problem

Article 4, Volume 50, Issue 2, Summer and Autumn 2018, Page 31-40  XML
Document Type: Research Article
DOI: 10.22060/miscj.2018.13848.5084
Authors
Shima Javanmard1; Behrouz Afshar Nadjafi orcid 1; Seyed Taghi Akhavan Niaki2
1Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
2Department of Industrial Engineering, Sharif University of Technology, P.O. Box 11155-9414 Azadi Ave., Tehran 1458889694 Iran,
Abstract
Growing concern in the management of energy due to the increasing energy costs, has forced managers to optimize the amount of energy required to provide products and services. This research integrates an energy-based resource investment project-scheduling problem (RIP) under a multi-skilled structure of the resources. The proposed energy based multi skilled resource investment problem (EB-MSRIP) consists of a single project with a set of tasks that require several skills to be competed. Each skill could be applied in several levels of efficiency, each including significant energy and implementation costs. Similar to RIPs, in the EB-MSRIP the required levels of skills are considered as decision variables and a bi-objective formulation is proposed for the problem. The first objective of the model minimizes total cost regarding to energy consumption cost and implementation cost of required multi skilled resources, and the second one minimizes the project’s makespan. The epsilon constraint method has been used to validate the developed formulation on several small-size instances. For larger problem instances, as epsilon constraint method fails to obtain a solution, the multi objective ant colony optimization (MOACO) algorithm has been implemented to tackle the problems. The key control parameters of proposed MOACO are tuned within Taguchi method. Computational results in terms of several comparison metrics including MID, DM, NPS and SNS determine notable advantages of proposed MOACO.
Keywords
Multi-skilled project scheduling; resource investment problem; Energy usage; Ant colony optimization
Main Subjects
Computational Algorithms; Mathematical (Analytical) Modeling
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