Scheduling a Project to Maximise Its Net Present Value: An Integer Programming Approach

We describe an integer programming algorithm for determining scheduled start and finish times for the activities of a project subject to resource limitations during each period of the schedule duration. The objective is to maximize the net present value of the project to the firm. A depth-first bran...

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Main Authors: Yang, Kum Khiong, Talbot, F.B., Patterson, J. H.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1993
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/2230
https://doi.org/10.1016/0377-2217(93)90176-n
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spelling sg-smu-ink.lkcsb_research-32292010-09-23T12:30:04Z Scheduling a Project to Maximise Its Net Present Value: An Integer Programming Approach Yang, Kum Khiong Talbot, F.B. Patterson, J. H. We describe an integer programming algorithm for determining scheduled start and finish times for the activities of a project subject to resource limitations during each period of the schedule duration. The objective is to maximize the net present value of the project to the firm. A depth-first branch and bound solution procedure searches over the feasible set of finish or completion times for each of the activities of the project. Fathoming criteria based upon the concept of a network cut originally developed to solve the duration minimization version of this problem are extended in this paper to solve the net present value problem. These fathoming decision rules prevent many potentially inferior solutions from being explicitly evaluated. Computational experience reported demonstrates the efficacy of the approach. 1993-01-01T08:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/2230 info:doi/10.1016/0377-2217(93)90176-n https://doi.org/10.1016/0377-2217(93)90176-n Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Business
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Business
spellingShingle Business
Yang, Kum Khiong
Talbot, F.B.
Patterson, J. H.
Scheduling a Project to Maximise Its Net Present Value: An Integer Programming Approach
description We describe an integer programming algorithm for determining scheduled start and finish times for the activities of a project subject to resource limitations during each period of the schedule duration. The objective is to maximize the net present value of the project to the firm. A depth-first branch and bound solution procedure searches over the feasible set of finish or completion times for each of the activities of the project. Fathoming criteria based upon the concept of a network cut originally developed to solve the duration minimization version of this problem are extended in this paper to solve the net present value problem. These fathoming decision rules prevent many potentially inferior solutions from being explicitly evaluated. Computational experience reported demonstrates the efficacy of the approach.
format text
author Yang, Kum Khiong
Talbot, F.B.
Patterson, J. H.
author_facet Yang, Kum Khiong
Talbot, F.B.
Patterson, J. H.
author_sort Yang, Kum Khiong
title Scheduling a Project to Maximise Its Net Present Value: An Integer Programming Approach
title_short Scheduling a Project to Maximise Its Net Present Value: An Integer Programming Approach
title_full Scheduling a Project to Maximise Its Net Present Value: An Integer Programming Approach
title_fullStr Scheduling a Project to Maximise Its Net Present Value: An Integer Programming Approach
title_full_unstemmed Scheduling a Project to Maximise Its Net Present Value: An Integer Programming Approach
title_sort scheduling a project to maximise its net present value: an integer programming approach
publisher Institutional Knowledge at Singapore Management University
publishDate 1993
url https://ink.library.smu.edu.sg/lkcsb_research/2230
https://doi.org/10.1016/0377-2217(93)90176-n
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