Local and integral control of workload
- 1 January 1989
- journal article
- research article
- Published by Taylor & Francis in International Journal of Production Research
- Vol. 27 (1) , 43-52
- https://doi.org/10.1080/00207548908942529
Abstract
In most of the literature on performance analysis of production systems, buffer are assumed to be controlled locally. In automated production systems buffers are not always the result of local physical space restrictions, but may also be software-controlled. Software-controlled buffers allow a more efficient use of the production units and a better control of the work in progress. Some of these possible control principles are known from production control and goods flow theory. We present a model for production systems in which the goods flow is continuous. The effect of different control mechanisms on the performance of the system (that is throughput and throughput time) is studied. Examples of control systems are BSC (Base Stock Control), Workload Control and control by local buffers only. It appears that for our model many of these control systems yield equivalent performance measures.Keywords
This publication has 8 references indexed in Scilit:
- Approximate analysis of arbitrary configurations of open queueing networks with blockingAnnals of Operations Research, 1987
- An Efficient Decomposition Method for the Approximate Evaluation of Tandem Queues with Finite Storage Space and BlockingOperations Research, 1987
- Estimation of line efficiency by aggregationInternational Journal of Production Research, 1987
- Approximate analysis of open networks of queues with blocking: Tandem configurationsIEEE Transactions on Software Engineering, 1986
- Models for Understanding Flexible Manufacturing SystemsA I I E Transactions, 1980
- The Effect of Interstage Buffer Storage on the Output of Two Unreliable Production Units in Series, with Different Production RatesA I I E Transactions, 1979
- OPTIMAL BUFFER STORAGE CAPACITY IN PRODUCTIONInternational Journal of Production Research, 1968
- Optimal Policies for a Multi-Echelon Inventory ProblemManagement Science, 1960