Abstract
This study arises from the need to improve the goals or objectives set for the supply chain management department of a multinational company in the electric sector given the successive poor results achieved in service rates, and also from the need to merge two different management models: the traditional company model and the multinational company model. To fulfill this objective, a simulation model was built by the system dynamics method and using the Vensim® simulation software. After simulating the different processes that encompass the activity of the supply chain under study, the obtained results were analyzed and different scenarios were simulated according to the proposed objectives. Then whether these objectives were actually fulfilled was verified, the best economic results were selected and possible future lines of action were set out.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bititci US, Turner T, Begemann C (2000) Dynamics of performance measurement systems. Int J Oper Prod Manage 20(6):692–704
Bravard JL, Morgan R (2007) La externalización inteligente, Deusto, 24–26. In: Campuzano F, Mula J Supply chain simulation. A system dynamics approach for improving performance. Ed. Springer, London
Campuzano F, Mula J (2011) Supply chain simulation. A system dynamics approach for improving performance. Springer
Campuzano F, Mula J, Peidro D (2010) Fuzzy estimations and system dynamics for improving supply chains. Fuzzy Sets Syst 161(11):1530–1542
Campuzano-Bolarín F, Mula J, Peidro D (2013) An extension to fuzzy estimations and system dynamics for improving supply chains. Int J Prod Res 51:3156–3166
De Meyer A, Wittenberg-Cox A (1994) Nuevo enfoque de la función de producción. Folio
Disney SM, Naim MM, Potter A (2004) Assessing the impact of e-business on supply chain dynamics. Int J Prod Econ 89(2):109–118
Forrester JW (1961) Dinámica industrial. Editorial El Ateneo, Buenos Aires, Argentina
Jeon SM, Kim G (2016) A survey of simulation modeling techniques in production planning and control (PPC). Prod Plann Control 27(5):360–377
John S, Naim MM, Towill DR (1994) Dynamic analysis of a WIP compensated decision support system. Int J Manuf Syst Des 1(4):283–297
Kaplan RS (1990) Measures for manufacturing excellence. Harvard Business School Press, Boston
Moullin M (2002) Delivering excellence in health and social care. Open Univiversity Press, Buckingham
Neely A, Adams C, Kennerley M (2002) The performance prism: the scorecard for measuring and managing business success: the scorecard for measuring and managing stakeholder relationships. Prentice-Hall
Sink S, Tuttle T (1989) Planning and measurement in your organization of the future. Industrial Engineering & Management Press, Norcross, GA
Sterman JD (2000) Business dynamics: systems thinking and modelling for a complex world. McGraw-Hill, Boston
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Martín, A.I., Bru, J.M., Campuzano-Bolarín, F. (2019). Analysis of the Customer Service Rate and Reliability of Suppliers in a Production and Assembly Multinational Company. In: Ortiz, Á., Andrés Romano, C., Poler, R., García-Sabater, JP. (eds) Engineering Digital Transformation. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-96005-0_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-96005-0_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-96004-3
Online ISBN: 978-3-319-96005-0
eBook Packages: EngineeringEngineering (R0)