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In business process reengineering, engineering approaches to realize effective business processes have been studied in an interdisciplinary manner involving researchers in management, sociology, and other fields. Predicting design effectiveness, identifying effective design parameters and their settings, and selecting the optimal design are essential to realize effective business processes. Therefore, the objective of this paper is to demonstrate that the method with agent-based models and simulation can assist designers’ decision-making and provide necessary knowledge through a case study of business process design for both cyclic and acyclic demand fluctuations. The case study was conducted on an IT systems department business process of a company that processes 50 demands with different demand fluctuation types. The simulation model described the demands and corresponding operations in a hierarchical manner to reduce the complexity of the design description. 16 design scenarios were prepared by combining 4 design parameters. The case study examined the problems of how the proposed method could provide knowledge regarding selection of optimal design scenarios, effective design parameters and their settings, and causal relationships of design parameter changes and effects. The case study results confirmed that our proposed method can provide useful knowledge. For example, that two specific design parameters have a synergistic effect, and that the effect of changing the design parameter of teaming is not caused by teaming itself, but the communication-work reduction that results from teaming, were provided. The results demonstrated that the proposed method could assist designers’ decision-making and provide them with necessary knowledge in designing business processes.