| Reference : PROJECT SCHEDULING WITH MODULAR PROJECT COMPLETION ON A BOTTLENECK RESOURCE |
| Reports : Internal report | |||
| Business & economic sciences : Quantitative methods in economics & management | |||
| http://hdl.handle.net/2268/98935 | |||
| PROJECT SCHEDULING WITH MODULAR PROJECT COMPLETION ON A BOTTLENECK RESOURCE | |
| English | |
Coolen, Kris [ > > ] | |
Wenchao, Wei [ > > ] | |
Talla Nobibon, Fabrice [Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > UER Opérations : Supply Chain Management >] | |
Leus, Roel [ > > ] | |
| 2011 | |
| [en] scheduling, uncertainty ; research and development ; activity failures ; modular precedence network | |
| [en] In this paper, we model a research-and-development project as consisting of several
modules, with each module containing one or more activities. We examine how to schedule the activities of such a project in order to maximize the expected profit when the activities have a probability of failure and when an activity’s failure can cause its module and thereby the overall project to fail. A module succeeds when at least one of its constituent activities is successfully executed. All activities are scheduled on a scarce resource that is modeled as a single machine. We describe various policy classes, establish the relationship between the classes, develop exact algorithms to optimize over two different classes (one dynamic program and one branch-and-bound algorithm), and examine the computational performance of the algorithms on two randomly generated instance sets. | |
| Researchers ; Professionals ; Students ; General public | |
| http://hdl.handle.net/2268/98935 |
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