Abstract
We consider a production system in a general configuration with a new control strategy: the push mechanism for the part transport and the kanban technique for the work-in-process (WIP). The production system is composed of many stations such as an entrance station, a set of work stations, a central station, and an exit station, that are arranged in a general configuration. The push mechanism is followed for transporting a part from a station to a destination station. The kanban technique is adopted for controlling the WIP in a work station. The production system is modeled by a closed queuing network in a general configuration with a Markov part sending mechanism and a machine no blocking (MNB) technique. An optimal part sending policy that maximizes the expected system throughput is formulated into a long run average semi-Markov decision process. Three solution approaches are developed for obtaining optimal or suboptimal solutions. Numerical examples are given to evaluate the quality of the solutions obtained by the solution approaches.
| Original language | English |
|---|---|
| Pages (from-to) | 159-165 |
| Number of pages | 7 |
| Journal | IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans. |
| Volume | 30 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2000 Mar 1 |
| Externally published | Yes |
Fingerprint
Keywords
- Blocking
- Kanban technique
- Push mechanism
- Queuing network
- Semi-Markov decision process
- Throughput
ASJC Scopus subject areas
- Control and Systems Engineering
- Human-Computer Interaction
- Theoretical Computer Science
- Computational Theory and Mathematics
Cite this
An optimal part sending policy for a production system in a general configuration with a new control strategy. / Xiaobo, Zhao; Nakashima, Kenichi.
In: IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans., Vol. 30, No. 2, 01.03.2000, p. 159-165.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - An optimal part sending policy for a production system in a general configuration with a new control strategy
AU - Xiaobo, Zhao
AU - Nakashima, Kenichi
PY - 2000/3/1
Y1 - 2000/3/1
N2 - We consider a production system in a general configuration with a new control strategy: the push mechanism for the part transport and the kanban technique for the work-in-process (WIP). The production system is composed of many stations such as an entrance station, a set of work stations, a central station, and an exit station, that are arranged in a general configuration. The push mechanism is followed for transporting a part from a station to a destination station. The kanban technique is adopted for controlling the WIP in a work station. The production system is modeled by a closed queuing network in a general configuration with a Markov part sending mechanism and a machine no blocking (MNB) technique. An optimal part sending policy that maximizes the expected system throughput is formulated into a long run average semi-Markov decision process. Three solution approaches are developed for obtaining optimal or suboptimal solutions. Numerical examples are given to evaluate the quality of the solutions obtained by the solution approaches.
AB - We consider a production system in a general configuration with a new control strategy: the push mechanism for the part transport and the kanban technique for the work-in-process (WIP). The production system is composed of many stations such as an entrance station, a set of work stations, a central station, and an exit station, that are arranged in a general configuration. The push mechanism is followed for transporting a part from a station to a destination station. The kanban technique is adopted for controlling the WIP in a work station. The production system is modeled by a closed queuing network in a general configuration with a Markov part sending mechanism and a machine no blocking (MNB) technique. An optimal part sending policy that maximizes the expected system throughput is formulated into a long run average semi-Markov decision process. Three solution approaches are developed for obtaining optimal or suboptimal solutions. Numerical examples are given to evaluate the quality of the solutions obtained by the solution approaches.
KW - Blocking
KW - Kanban technique
KW - Push mechanism
KW - Queuing network
KW - Semi-Markov decision process
KW - Throughput
UR - http://www.scopus.com/inward/record.url?scp=0033893690&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0033893690&partnerID=8YFLogxK
U2 - 10.1109/3468.833096
DO - 10.1109/3468.833096
M3 - Article
AN - SCOPUS:0033893690
VL - 30
SP - 159
EP - 165
JO - IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
JF - IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
SN - 1083-4427
IS - 2
ER -