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Evaluation of the Dynamic Impacts of Lead Time Reduction on Finance Based on Open Queueing Networks

  • Dominik GläßerEmail author
  • Boualem Rabta
  • Gerald Reiner
  • Arda Alp
Conference paper

Abstract

The basic principles of rapid modelling based on queueing theory, that provide the theoretical foundations for lead time reduction, are well known in research. We are globally observing an underinvestment in lead time reduction at top management levels. In particular, the maximization of resource utilization is still a wide-spread aim for managers in many companies around the world. This is due to inappropriate performance measurement systems as well as compensation systems for managers which neglect the monetary effects of lead time reduction. Therefore, we developed a model based on open queueing networks to evaluate the financial impacts of lead time reduction. Illustrated by an empirical case from the polymer industry, we will demonstrate the impact of performance measures on financial measures. That is why we will take into consideration efficiency performance measures (work in process, lead time, etc.) as well as effectiveness performance measure (e.g., customer satisfaction, retention rate). Based on our evaluation model, we will be able to investigate different scenarios to reduce lead time for the given case and evaluate these, based on the developed overall performance measurement model, i.e., optimization of the batch size, resource pooling, de/increase in the number of resources. In particular, we achieved a 75% lead time reduction and a 11% overall cost reduction (resource costs, setup costs, WIP costs, penalty costs, inventory costs) without changing the whole production layout or making high investments.

Keywords

Queueing Networks Rapid Modelling Manufacturing Systems Lead Time Reduction Financial Evaluation 

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Dominik Gläßer
    • 1
    Email author
  • Boualem Rabta
    • 1
  • Gerald Reiner
    • 1
  • Arda Alp
    • 1
  1. 1.Institut de l’entrepriseUniversité de NeuchâtelNeuchâtelSwitzerland

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