A multi-objective scheduling payment pattern for project cash flow by considering resource constraints (a case study in power transfer system)
Yaser Vahedi Geshniani,
Reza Kamranrad and
Iman Emami
International Journal of Industrial and Systems Engineering, 2020, vol. 35, issue 3, 299-313
Abstract:
Financial aspects in project scheduling are specified by incoming and outgoing cash flows associated with events of the projects. As in the real world the project stakeholders are looking for benefit, here we have maximised project net value which is obtained from cost fraction of income. In fact, taking into account the objective function is it attempted that problem under study be closer to real-world issues. In this study, a mathematical model to maximise contractor net present value on the basis of payment pattern and consideration of resource constraint are presented. Since this issue is considered as NP-hard problems, to solve this, meta-heuristic multi-objective algorithms including NSGA-II, MOPSO and MOSA have been used. Finally payment patterns and an appropriate model are proposed to reduce the completion time and maximise the net present value of the project.
Keywords: project scheduling; payment patterns; meta-heuristic algorithms; comparison of payment patterns. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.inderscience.com/link.php?id=107773 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:35:y:2020:i:3:p:299-313
Access Statistics for this article
More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().