Beyond Roles: Prediction Model-Based Process Resource Management

Niedermann, Florian; Pavel, Alexandru; Mitschang, Bernhard

doi:10.1007/978-3-642-25370-6_2

Cited by 2 publications

(1 citation statement)

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“…The effects that resource behaviours and relationships have on resource allocations and the business process have been studied in [8] [14]. Various methods to schedule or assign resources based on their properties (for example, performance, compatibility, skill sets, and many more) have also been investigated [4][5] [13][17] [18]. In addition, [9] uses optimisation techniques as an attempt to optimise resource allocation in business processes.…”

Section: Related Workmentioning

confidence: 99%

Perturbing event logs to identify cost reduction opportunities: A genetic algorithm-based approach

Low

Weerdt

Wynn

et al. 2014

2014 IEEE Congress on Evolutionary Computation (CEC)

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Abstract-Organisations are constantly seeking new ways to improve operational efficiencies. This research study investigates a novel way to identify potential efficiency gains in business operations by observing how they are carried out in the past and then exploring better ways of executing them by taking into account trade-offs between time, cost and resource utilisation. This paper demonstrates how they can be incorporated in the assessment of alternative process execution scenarios by making use of a cost environment. A genetic algorithm-based approach is proposed to explore and assess alternative process execution scenarios, where the objective function is represented by a comprehensive cost structure that captures different process dimensions. Experiments conducted with different variants of the genetic algorithm evaluate the approach's feasibility. The findings demonstrate that a genetic algorithm-based approach is able to make use of cost reduction as a way to identify improved execution scenarios in terms of reduced case durations and increased resource utilisation. The ultimate aim is to utilise cost-related insights gained from such improved scenarios to put forward recommendations for reducing process-related cost within organisations.

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