Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30579
Reduced Inventories, High Reliability and Short Throughput Times by Using CONWIP Production Planning System

Authors: Tomas Duranik, Juraj Ruzbarsky, Markus Stopper

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: PPS, CONWIP, constant work in process, delivery reliability, hybrid production planning

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1334451

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1921

References:


[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 : Vydavateĝstvo 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.