Reduced Inventories, High Reliability and Short Throughput Times by Using CONWIP Production Planning System
CONWIP (constant work-in-process) as a pull
production system have been widely studied by researchers to date.
The CONWIP pull production system is an alternative to pure push
and pure pull production systems. It lowers and controls inventory
levels which make the throughput better, reduces production lead
time, delivery reliability and utilization of work. In this article a
CONWIP pull production system was simulated. It was simulated
push and pull planning system. To compare these systems via a
production planning system (PPS) game were adjusted parameters of
each production planning system. The main target was to reduce the
total WIP and achieve throughput and delivery reliability to
minimum values. Data was recorded and evaluated. A future state
was made for real production of plastic components and the setup of
the two indicators with CONWIP pull production system which can
greatly help the company to be more competitive on the market.
[1] Ajorlou, S.; Shams, I. & Aryanezhad, M. G. (2011). Optimization of a
Multiproduct Conwip-based Manufacturing System using Artificial Bee
Colony Approach. In: Proceedings of the International MultiConference
of Engineers and Computer Scientists 2011 Vol II, IMECS 2011, March
16-18,2011, Hong Kong. ISSN 2078-0966, ISBN 978-988-19251-2-1
[2] Gregor, M. & Košturiak, J. (1994). Just-in-Time : Production philosophy
for good management. Bratislava : Vydavate─¥stvo Elita, 1994. ISBN 80-
85323-64-8, 299 s.
[3] http://www.ipaslovakia.sk, (2006). Chromjaková Felicita. Push and pull
system of production control. Accessed on: 2012-6-15
[4] Jodlbauer, H. (2008). Production optimization: Value-creating and
customer-oriented planning and control. Springer; Wien. ISBN 978-3-
211-72752-2
[5] Koblasa, F. & Manlig, F. (2009). Job shop scheduling problem with
multi-shift work system. ACC Journal, 1/2009, s. 15-23, TU v Liberci,
ISSN 1803-9782
[6] Manlig, F. & Gottwaldová, A. (2006). The experience of simulation
games in teaching. In: Strojírenská technologie. č.4, r. XI, 2006. s.
28..31 ISSN 1211-4162
[7] McKay, N. K.; Black, W. G. (2007) The evolution of a production
planning system: A 10-year case study. In: Computers in Industry 58(8-
9): 756-771
[8] Pasko, J. & Gaspar, S. (2007). Theory of the welding process
automation. In: European and international standards in technical
documentation. Elba, Presov, Slovakia, 2007 s. 148-151.
[9] R.L. Laforge, C.W. Craighead, Computer-based scheduling in
manufacturing firms: some indicators of successful practice, In:
Production and Inventory Management Journal 41 (1) (2000) 3-24.
[1] Ajorlou, S.; Shams, I. & Aryanezhad, M. G. (2011). Optimization of a
Multiproduct Conwip-based Manufacturing System using Artificial Bee
Colony Approach. In: Proceedings of the International MultiConference
of Engineers and Computer Scientists 2011 Vol II, IMECS 2011, March
16-18,2011, Hong Kong. ISSN 2078-0966, ISBN 978-988-19251-2-1
[2] Gregor, M. & Košturiak, J. (1994). Just-in-Time : Production philosophy
for good management. Bratislava : Vydavate─¥stvo Elita, 1994. ISBN 80-
85323-64-8, 299 s.
[3] http://www.ipaslovakia.sk, (2006). Chromjaková Felicita. Push and pull
system of production control. Accessed on: 2012-6-15
[4] Jodlbauer, H. (2008). Production optimization: Value-creating and
customer-oriented planning and control. Springer; Wien. ISBN 978-3-
211-72752-2
[5] Koblasa, F. & Manlig, F. (2009). Job shop scheduling problem with
multi-shift work system. ACC Journal, 1/2009, s. 15-23, TU v Liberci,
ISSN 1803-9782
[6] Manlig, F. & Gottwaldová, A. (2006). The experience of simulation
games in teaching. In: Strojírenská technologie. č.4, r. XI, 2006. s.
28..31 ISSN 1211-4162
[7] McKay, N. K.; Black, W. G. (2007) The evolution of a production
planning system: A 10-year case study. In: Computers in Industry 58(8-
9): 756-771
[8] Pasko, J. & Gaspar, S. (2007). Theory of the welding process
automation. In: European and international standards in technical
documentation. Elba, Presov, Slovakia, 2007 s. 148-151.
[9] R.L. Laforge, C.W. Craighead, Computer-based scheduling in
manufacturing firms: some indicators of successful practice, In:
Production and Inventory Management Journal 41 (1) (2000) 3-24.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:56882", author = "Tomas Duranik and Juraj Ruzbarsky and Markus Stopper", title = "Reduced Inventories, High Reliability and Short Throughput Times by Using CONWIP Production Planning System", abstract = "CONWIP (constant work-in-process) as a pull
production system have been widely studied by researchers to date.
The CONWIP pull production system is an alternative to pure push
and pure pull production systems. It lowers and controls inventory
levels which make the throughput better, reduces production lead
time, delivery reliability and utilization of work. In this article a
CONWIP pull production system was simulated. It was simulated
push and pull planning system. To compare these systems via a
production planning system (PPS) game were adjusted parameters of
each production planning system. The main target was to reduce the
total WIP and achieve throughput and delivery reliability to
minimum values. Data was recorded and evaluated. A future state
was made for real production of plastic components and the setup of
the two indicators with CONWIP pull production system which can
greatly help the company to be more competitive on the market.", keywords = "CONWIP, constant work in process, delivery
reliability, hybrid production planning, PPS.", volume = "6", number = "12", pages = "2747-5", }