An adaptive branch and bound approach for transforming job shops into flow shops
Computers and Industrial Engineering
An absorbing Markov chain model for production systems with rework and scrapping
Computers and Industrial Engineering
Computers and Operations Research
An optimal operating policy for the production system with rework
Computers and Industrial Engineering
Optimal routing policy of a stochastic-flow network
Computers and Industrial Engineering
Computers and Industrial Engineering
Reliability evaluation of a stochastic-flow distribution network with delivery spoilage
Computers and Industrial Engineering
Hi-index | 0.00 |
This paper focuses on performance evaluation of a manufacturing system with multiple production lines based on the network-analysis perspective. Due to failure, partial failure, or maintenance, the capacity of each machine is stochastic (i.e., multi-state). Hence, the manufacturing system can be constructed as a stochastic-flow network, named manufacturing network herein. This paper intends to measure the probability that the manufacturing network can satisfy customers' orders. Such a probability is referred to as the system reliability. A graphical representation is first proposed to transform a manufacturing system into a manufacturing network. Thereafter, we decompose the manufacturing network into general processing paths and reworking paths. Three algorithms are subsequently developed for different scenarios and multiple production lines to generate the minimal capacity vectors that machines should provide to satisfy demand. The system reliability can be derived in terms of such capacity vectors afterwards.