BOTTLENECKS IN PRODUCTION NETWORKS： AN OVERVIEW

1. Introduction Performances of a production system, such as the throughput, the circle time and the average delay, etc., are affected by the capacities of machines and resources available in the system. Some of them may affect the system performances more than others. Usually, the limitation of a system can be traced to the limitation of one or two machines or one or two kinds of resources, commonly called bottlenecks. From system point of view, bottlenecks are the congestion points of the sy…

Bottlenecks in production networks: An overview

Bottlenecks, the key ingredients for improving the performances of the production networks, have been profoundly studied during the last decade. Yet, because of the complexity of the research results, there is still a significant gap between theory and practice. In this paper, we review various bottleneck definitions, detection methods and the asymptotic results and provide a practical guidance for recognizing and utilizing the bottlenecks in production networks. Queueing theory works as the mathematical foundation in our study. Various definitions of the bottlenecks are classified as either Performance in Processing (PIP) based or sensitivity based definitions, which reflect the preferences of the managers. Detection methods are surveyed closely based on the definitions. These methods are used to recognize the bottlenecks and to provide diagnosis results to managers. Comparisons show that different detection methods may lead to vastly different conclusions. The recognition of the bottlenecks has another advantage: the ultimate phenomena of the bottlenecks can greatly reduce the computation complexity in calculating the system performances. Bottlenecks based approximation and asymptotic results are studied to exhibit the contribution of bottlenecks in performance estimation and theoretical analysis.