Abstract
This paper is concerned with reliable multistation series production lines. Items arrive at the first station according to a Poisson distribution with an operation performed on each item by the single machine at each station. The processing times at each station i is Erlang type Pi distributed with Pi, the number of phases, allowed to vary for each station. Buffers of non-identical capacities are allowed between successive stations. The structure of the transition matrices of these specific type of production lines is examined and a recursive algorithm is developed for generating them. The transition matrices are block-structured and very sparse and by applying the proposed algorithm, one can create the transition matrix of a K-station line for any K. This process allows one to obtain the exact solution of the large sparse linear systems via the use of the Successive Overrelaxation (SOR) method with a dynamically adjusted factor. Referring to the throughput rate of the production lines, new numerical results are given.
| Original language | English |
|---|---|
| Pages (from-to) | 317-335 |
| Number of pages | 19 |
| Journal | Computers in Industry |
| Volume | 13 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Mar 1990 |
| Externally published | Yes |
Keywords
- Block-triagonal matrices
- Erlang type P distribution
- Finite buffers
- Iterative SOR method
- Large sparse matrices
- Multistation production lines
- Quasi-birth-death process