Primary production scheduling at steelmaking industries
IBM Journal of Research and Development
The use of simulation in activity-based costing for flexible manufacturing systems
Proceedings of the 29th conference on Winter simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Proceedings of the 32nd conference on Winter simulation
Proceedings of the 33nd conference on Winter simulation
A Survey of Mathematical Programming Applications in Integrated Steel Plants
Manufacturing & Service Operations Management
Simulation based decision for steelmaking operations challenges
WSC '05 Proceedings of the 37th conference on Winter simulation
Embedding human scheduling in a steel plant simulation
Proceedings of the 40th Conference on Winter Simulation
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In this contribution, we focus on the configuration of logistics systems embedded into production processes. To evaluate the dynamic behavior of alternative configurations, Discrete-Event Simulation (DES) proofs helpful. Emphasis is typically put on physical performance measures. However, as configuration decisions have significant financial impact to the firm, an additional monetary impact assessment is usually performed. This requires cost accounting techniques that appropriately incorporate system complexity into the financial model. To this end, we propose a novel approach to extend the applicability of DES for configuration problems. The basic idea is to incorporate technical consumption or engineering production functions into Riebel's Generic Direct Cost Accounting and to add both methods to a standard DES modeling. Consequently, the informational value of DES is significantly improved. Misleading decision support can be avoided and insights into the relationship between processes and the value structure are achieved. Both of which contribute towards improved configuration decisions.