Simulation approach to optimize production costs through value stream mapping
| Autor: | Neubert, G., Matteo Savino, Pedicini, C. |
|---|---|
| Přispěvatelé: | emlyon business school, Neubert, Gilles, business school, emlyon, Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production (LIESP), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon, Ecole Supérieure de Commerce de Saint-Etienne, ESC Saint Etienne, Dipartimento di Ingegneria [Benevento], Università degli Studi del Sannio |
| Předmět: |
Taboo Search Algorithm
Lean Manufacturing [SHS.GESTION]Humanities and Social Sciences/Business administration Value Stream Mapping [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation [SHS.ECO] Humanities and Social Sciences/Economics and Finance [SHS.GESTION] Humanities and Social Sciences/Business administration Hidden Costs [SHS.ECO]Humanities and Social Sciences/Economics and Finance [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Simulation |
| Zdroj: | Scopus-Elsevier IJOQM, International Journal of Operations and Quantitative Management IJOQM, International Journal of Operations and Quantitative Management, 2010, pp.1-21 P International Journal of Operations and Quantitative Management (IJOQM) International Journal of Operations and Quantitative Management (IJOQM), 2010, 16 (1), 16p |
| ISSN: | 1082-1910 |
| Popis: | International audience; This paper describes an approach to measure and optmise production performance parameters to generate productivity improvements in a manufacturing system. The main action has been focused on the reduction of the production costs through Value Stream Mapping principles, spotting out those commonly called “hidden costs”. The case study has highlighted some basic problems that are related to work-in-progress, waiting time, and number of parts in the buffers. Optimizing these elements through a simulation model using a Taboo Search Algorithm has led to a reduction of wastes in terms of materials, time and resources, and by the way to lower costs. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|