TY - GEN
T1 - Does Regulating Work-In-Process Increase Throughput and Reduce Cycle Times? An Assessment by Lab Scale System Models
AU - Thürer, Matthias
AU - Li, Shan Shan
AU - Yang, Can
AU - Qu, Ting
AU - Huang, George Q.
N1 - Publisher Copyright:
© 2023, IFIP International Federation for Information Processing.
PY - 2023/9
Y1 - 2023/9
N2 - Production planning and control systems that regulate the Work-In-Process (WIP) in the production system are argued to increase throughput and reduce cycle times. This study assesses the performance of Kanban, Constant WIP (ConWIP) and a hybrid Kanban/ConWIP system that is typically realized in real life production lines with limited buffer space. A physical lab scale system model of a production line is built, and a new digital twin framework to realize production planning and control implemented. Results indicate that production planning and control systems that regulate the WIP reduce the time it takes a job to pass through the production system. However, they reduce throughput, and consequently increase the time a worker (capacity) spends with the job (processing and waiting). The term “cycle time” may refer to both in the literature. Results highlight that there is a trade-off, which has important implications for practice since management must decide which cycle time is the most important in their shop. This study further shows how production planning and control systems can be implemented using new technology, and it highlights the potential of lab scale system models as alternatives to computer simulations.
AB - Production planning and control systems that regulate the Work-In-Process (WIP) in the production system are argued to increase throughput and reduce cycle times. This study assesses the performance of Kanban, Constant WIP (ConWIP) and a hybrid Kanban/ConWIP system that is typically realized in real life production lines with limited buffer space. A physical lab scale system model of a production line is built, and a new digital twin framework to realize production planning and control implemented. Results indicate that production planning and control systems that regulate the WIP reduce the time it takes a job to pass through the production system. However, they reduce throughput, and consequently increase the time a worker (capacity) spends with the job (processing and waiting). The term “cycle time” may refer to both in the literature. Results highlight that there is a trade-off, which has important implications for practice since management must decide which cycle time is the most important in their shop. This study further shows how production planning and control systems can be implemented using new technology, and it highlights the potential of lab scale system models as alternatives to computer simulations.
KW - ConWIP
KW - Digital Twin
KW - Kanban
KW - Lab Scale System Models
KW - Push/Pull Systems
UR - http://www.scopus.com/inward/record.url?scp=85174441523&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-43670-3_45
DO - 10.1007/978-3-031-43670-3_45
M3 - Conference article published in proceeding or book
AN - SCOPUS:85174441523
SN - 9783031436697
T3 - IFIP Advances in Information and Communication Technology
SP - 649
EP - 661
BT - Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures - IFIP WG 5.7 International Conference, APMS 2023, Proceedings
A2 - Alfnes, Erlend
A2 - Romsdal, Anita
A2 - Strandhagen, Jan Ola
A2 - von Cieminski, Gregor
A2 - Romero, David
PB - Springer Science and Business Media Deutschland GmbH
T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2023
Y2 - 17 September 2023 through 21 September 2023
ER -