Abstract
In order to overcome the disadvantages of Kanban Control Strategy (KCS) in non-repetitive manufacturing environments, two research approaches have been followed in the literature in past two decades. The first approach has been concerned with developing new, or combining existing, pull-type production control strategies in order to maximise the benefits of pull control while increasing the ability of a production system to satisfy demand. The second approach has focused on how best to combine Just-In-Time (JIT) and Material-Requirements-Planning (MRP) philosophies in order to maximise the benefits of pull control in non-repetitive manufacturing environments. This paper provides a review of the research activities in these two approaches, presents a comparison between a Production Control Strategy (PCS) from each approach, and presents a comparison of the performance of several pull-type production control strategies in addressing the Service Level vs. WIP trade-off in an environment with low variability and a light-to-medium demand load.
| Original language | English |
|---|---|
| Title of host publication | Stochastic Modeling of Manufacturing Systems |
| Subtitle of host publication | Advances in Design, Performance Evaluation, and Control Issues |
| Publisher | Springer Berlin Heidelberg |
| Pages | 307-329 |
| Number of pages | 23 |
| ISBN (Print) | 3540265791, 9783540265795 |
| DOIs | |
| Publication status | Published - 2006 |
Keywords
- BSCS
- CONWIP/Pull
- Discrete event simulation
- EKCS
- Hybrid Push/Pull
- Kanban
- Markov decision process
- Simulated annealing optimization algorithm