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Manufacturing System Planning and Scheduling

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Simulation-Based Case Studies in Logistics

Abstract

This case study concerns support for customised solving of a production planning and scheduling problem in the piece-part medium-sized manufacturing company. To make the best use of an advanced scheduling tool and to find an optimal configuration of its rules and parameters, modular simulation models of the entire business/production process and production anodising stage are developed. Planning scenarios intended for optimising business processes in the company and different sequencing rules to improve processing of production orders are analysed. The improved approach and its benefits in practice are described.

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References

  1. Merkuryeva G, Shires N, Krauth J (2004) Simulation-based production scheduling and capacity optimisation in manufacturing SME’s. In: Proceedings 11th international power electronics and motion control conference, vol 4, pp 225–230

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  2. Merkuryeva G, Shires N (2004) SIM-SERV case study: simulation-based production scheduling and capacity optimisation. In: Proc 18th European simulation multiconference ‘networked simulation and simulated networks’, pp 327–333

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  3. Harrell CR, Ghosh BK, Bowden RO (2004) Simulation using ProModel, 2nd edn. McGraw-Hill, New York

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  4. Merkuryeva G, Shires N, Morrison R et al (2003) Simulation based scheduling for batch anodising processes. In: International workshop on harbour, maritime multimodal logistics modelling and simulation, pp 170−176

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© 2009 Springer London

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Merkuryeva, G., Shires, N. (2009). Manufacturing System Planning and Scheduling. In: Merkuryev, Y., Merkuryeva, G., Piera, M., Guasch, A. (eds) Simulation-Based Case Studies in Logistics. Springer, London. https://doi.org/10.1007/978-1-84882-187-3_2

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  • DOI: https://doi.org/10.1007/978-1-84882-187-3_2

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-186-6

  • Online ISBN: 978-1-84882-187-3

  • eBook Packages: EngineeringEngineering (R0)

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