Abstract
Planning human activities within business processes often happens based on the same methods and algorithms as are used in the area of manufacturing systems. However, human behaviour is quite different from machine behaviour. Their performance depends on a number of factors, including workload, stress, personal preferences, etc. In this article we describe an approach for scheduling activities of people that takes into account business rules and dynamic human performance in order to optimise the schedule. We formally describe the scheduling problem we address and discuss how it can be constructed from inputs in the form of business process models and performance measurements. Finally, we discuss and evaluate an implementation for our planning approach to show the impact of considering dynamic human performance in scheduling.
Highlights
Scheduling is used in the planning of personnel and human activities in different environments [1], [2], [3]
We formally describe the scheduling problem we address and discuss how it can be constructed from inputs in the form of business process models and performance measurements
The evaluation shows that the difficulty of the scheduling problem with dynamic human performance is not significantly increased compared to scheduling with static performance
Summary
Scheduling is used in the planning of personnel and human activities in different environments [1], [2], [3]. The basic job shop scheduling problem has been extended and scheduling problems exist in many different variations and settings, each with their own characteristics. These variations aim to incorporate the complexity of the real world in order to increase the applicability of their solutions, but this generally increases the difficulty of finding an optimal schedule. M. P. van der Aalst, “Human Performance-Aware Scheduling and Routing of a Multi-Skilled Workforce,” Complex Systems Informatics and Modeling Quarterly, CSIMQ, Issue no. M. P. van der Aalst – orcid.org/0000-0002-0955-6940.
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