Author:
Denkena B.,Dittrich M.-A.,Wilmsmeier S.,Stamm S.
Abstract
AbstractSales revenues of enterprises are often subject to seasonal fluctuation. This leads to high or low utilized resources and this in turn to revenue losses. Hence, the enterprises invest a high effort to improve long and short-term resource utilization. In this context, disregarding future capacity utilization within the process of quotation leads to short-timed capacity adjustments for instance, additional work hours across seasons. This paper presents an approach which focuses on dependencies between costs and capacity by linking cost pricing and production scheduling. A first evaluation at an MTO supplier shows that order delays can be reduced by up to 95% and total costs by 21% compared to using the most appropriate priority rule.
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Reference22 articles.
1. Denkena B, Dittrich MA, Winter F (2017) Adaptive process planning and control. In: Denkena B, Mörke T (eds) Cyber-physical and gentelligent systems in manufacturing and life cycle. Academic Press, London, pp 281–293
2. Duffie N, Chehade A, Athavale A (2014) Control theoretical modeling of transient behaviour of PPC: a review. Procedia CIRP 17:20–25. https://doi.org/10.1016/j.procir.2014.01.099
3. Slotnick SA (2011) Order acceptance and scheduling: a taxonomy and review. Eur J Oper Res 212:1–11. https://doi.org/10.1016/j.ejor.2010.09.042
4. Chehade A, Duffie N (2014) Optimal dynamic behavior of adaptive WIP regulation with multiple modes of capacity adjustment. Procedia CIRP 19:168–173. https://doi.org/10.1016/j.procir.2014.05.002
5. Charnsirisakskul K, Griffin PM, Keskinocak P (2006) Pricing and scheduling decisions with lead-time flexibility. Eur J Oper Res 171:153–169. https://doi.org/10.1016/j.ejor.2004.07.062