Name
Abstract | ||
|---|---|---|
Scheduling multi-project is a complex decision making process. It involves the effective and timely allocation of resources to different projects. In the case of multi-project, resources are often transferred between the projects. It consumes both time and cost, when projects are situated in different geographic locations. As a result, the net present value (NPV) of multi-projects is significantly impacted by the resource transfer time. In this paper, a new genetic algorithm (GA) approach to the multi-project scheduling problem with resource transfer times is presented, where the NPV of all projects is maximized subject to renewable resource constraints. The paper also presents a heuristic approach using two phase priority rules for the same problem. We conduct a comprehensive analysis of 60 two-phase priority rules. The proposed GA approach is compared to the heuristic approach using the well-known priority rules. An extensive computational experiment is reported. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1142/S0217595915500487 | ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH |
Keywords | Field | DocType |
Project scheduling,net present value,transfer time,genetic algorithm,priority rules,multi-project | Priority ceiling protocol,Mathematical optimization,Deadline-monotonic scheduling,Operations research,Resource allocation,Genetic algorithm scheduling,Rate-monotonic scheduling,Priority inheritance,Earliest deadline first scheduling,Dynamic priority scheduling,Mathematics | Journal |
Volume | Issue | ISSN |
32 | 6 | 0217-5959 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Suresh | 1 | 0 | 0.68 |
| Pankaj Dutta | 2 | 71 | 7.04 |
| Karuna Jain | 3 | 9 | 1.86 |