International Journal of Industrial Engineering and Management

Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut ero labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco.

Search
GUIDE FOR AUTHORS SUBMIT MANUSCRIPT
Vol. 5 No. 3 (2014)
Original Research Article

A Backward Approach for Maximizing Net Present Value of Multi-mode Pre-emptive Resource-Constrained Project Scheduling Problem with Discounted Cash Flows Using Simulated Annealing Algorithm

FULL TEXT ARTICLE (PDF)
  • Aidin Delgoshaei,
  • Mohd Khairol Ariffin,
  • B. T. Hang Tuah Bin Baharudin,
  • Zulkiflle Leman
Aidin Delgoshaei
University Putra Malaysia, Department of Mechanical and Manufacturing Engineering
Bio
Mohd Khairol Ariffin
University Putra Malaysia, Department of Mechanical and Manufacturing Engineering
Bio
B. T. Hang Tuah Bin Baharudin
University Putra Malaysia, Department of Mechanical and Manufacturing Engineering
Bio
Zulkiflle Leman
University Putra Malaysia, Department of Mechanical and Manufacturing Engineering
Bio
DOI: https://doi.org/10.24867/IJIEM-2014-3-117

Published 2014-09-30

abstract views: 25 // FULL TEXT ARTICLE (PDF): 0


Keywords

  • Project Scheduling,
  • Pre-emptive,
  • Resource-Constrained,
  • Simulated Annealing

How to Cite

Delgoshaei, A., Ariffin, M. K., Bin Baharudin, B. T. H. T., & Leman, Z. (2014). A Backward Approach for Maximizing Net Present Value of Multi-mode Pre-emptive Resource-Constrained Project Scheduling Problem with Discounted Cash Flows Using Simulated Annealing Algorithm. International Journal of Industrial Engineering and Management, 5(3), 151–158. https://doi.org/10.24867/IJIEM-2014-3-117

Copyright (c) 2023 International Journal of Industrial Engineering and Management

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

In this article, a backward approach for maximizing net present value (NPV) in multi-mode resource constrained project scheduling problem while assuming discounted positive cash flows (MRCPSP-DC)is proposed. The progress payment method is used and all resources are considered as pre-emptible. The proposed approach maximizes NPV using unscheduled resources through resource calendar in backward mode. A simulated annealing algorithm is developed for solving experimental cases with 50 variables and results are compared with forward serial programming method. The remarkableresults demonstratethat the proposed methodcan effectively improve NPV inMRCPSP-DC while activity splitting is allowed.

 

Article history: Received (25.07.2014); Revised (10.09.2014); Accepted (01.10.2014)  

PlumX Metrics

Dimensions Citation Metrics

FULL TEXT ARTICLE (PDF)