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The interest in activity sensitivity from both the academics and the practitioners lies in the need to focus a project manager's attention on those activities that influence the performance of the project. When management has a certain feeling of the relative sensitivity of the various parts...
Persistent link: https://www.econbiz.de/10008488513
The crew scheduling problem in the airline industry is extensively investigated in the operations research literature since efficient crew employment can drastically reduce operational costs of airline companies. Given the flight schedule of an airline company, crew scheduling is the process of...
Persistent link: https://www.econbiz.de/10008494785
Due to its complexity and relevance in practice, many different procedures have been proposed in the operations research literature to solve the well-known nurse scheduling problem (NSP). The NSP assigns nurses to shifts per day maximizing the overall quality of the roster while taking various...
Persistent link: https://www.econbiz.de/10005240560
Recently, time-switch constraints have been introduced in literature by Yang and Chen (2000). Basically, these constraints impose a specified starting time on the project activities and force them to be inactive during specified time periods. This type of constraints have been incorporated into...
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Practitioners and academics hypothesize that when there is high diversity in resource consumption patterns, costing systems are more sensitive to errors. Given that firms' resources to enhance costing accuracy are typically constrained, it is argued that costing system refinement efforts should...
Persistent link: https://www.econbiz.de/10009204266
In this paper we study the resource-constrained project-scheduling problem with discounted cash flows. Each activity of this resource-constrained project-scheduling problem has certain resource requirements and a known deterministic cash flow that can be either positive or negative....
Persistent link: https://www.econbiz.de/10009209200
This paper presents a genetic algorithm and a scatter search procedure to solve the well-known job shop scheduling problem. In contrast to the single population search performed by the genetic algorithm, the scatter search algorithm splits the population of solutions in a diverse and...
Persistent link: https://www.econbiz.de/10009275117