1998
DOI: 10.1007/3-540-64956-5_11
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On project management scheduling where human resource is a critical variable

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Cited by 16 publications
(14 citation statements)
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“…The philosophy of this paper on considering and analyzing more human resource factors is similar to Plekhanova's work [30]. In that paper, it is asserted that in the mathematical theory of scheduling, resource capability factors are not considered as the factors that influence the schedule since the resources are assumed to be equal (i.e., they possess equal capabilities).…”
Section: Project Scheduling Considering Human Resource Factorsmentioning
confidence: 96%
“…The philosophy of this paper on considering and analyzing more human resource factors is similar to Plekhanova's work [30]. In that paper, it is asserted that in the mathematical theory of scheduling, resource capability factors are not considered as the factors that influence the schedule since the resources are assumed to be equal (i.e., they possess equal capabilities).…”
Section: Project Scheduling Considering Human Resource Factorsmentioning
confidence: 96%
“…In a cognitive system, we address the problem of agent allocation, where we consider not only task scheduling as in traditional approaches but also scheduling machine-learning methods and knowledge of cognitive agents. That is we will develop a new scheduling approach where the agent-allocation problem has specific emphasis on the following aspects (Plekhanova, 1998b(Plekhanova, , 1998c: Cognitive agents are allocated to tasks according to their multiple knowledge capabilities; the agent's knowledge capabilities must satisfy the particular combination of knowledge required for a task; agents of the cognitive systems should be compatible with each other and learning methods are relevant to the available knowledge capabilities of the cognitive agents and system. The consideration of all these aspects defines a problem of knowledge integration in cognitive software systems.…”
Section: Profile Theory and Machine Learningmentioning
confidence: 99%
“…Capability and compatibility factors have considerable impact on the process of system integration (Plekhanova, 1998b). We determine an integration model, which encompasses integration criteria (e.g., with respect to capability and compatibility and/or performance factors), priorities of the knowledge profiles and knowledge integration goals.…”
Section: Profile Theory and Machine Learningmentioning
confidence: 99%
“…Plekanova [10,11] proposes resource allocation through linear programming using information about needed and available resources and their capabilities. Nevertheless, to apply this approach it is necessary to have the complete process model defined in advance, inhibiting its adoption in a dynamic process management system.…”
Section: Related Workmentioning
confidence: 99%