Simulación como herramienta de ayuda para la toma de decisiones empresarialesun caso práctico

  1. Puche Regaliza Julio Cesar 1
  2. Costas Gual, Jose 2
  3. Arranz Val, Pablo 1
  1. 1 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

  2. 2 Instituto Politécnico de Viana do Castelo
    info

    Instituto Politécnico de Viana do Castelo

    Viana do Castelo, Portugal

    ROR https://ror.org/03w6kry90

Journal:
Revista de métodos cuantitativos para la economía y la empresa

ISSN: 1886-516X

Year of publication: 2016

Volume: 21

Pages: 188-204

Type: Article

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More publications in: Revista de métodos cuantitativos para la economía y la empresa

Abstract

Business decision making is a critical factor to the viability of companies. In the current more dynamic, global and competitive scenario, this critical factor opens space to wider requirements. Modeling and simulation have traditionally formed a substantial part of the toolkit used to support decision making, especially in the business strategy eld. In this paper, our aim is to open a clear perspective on the added value o ered by simulation. We fi rst introduce an overview about the process of decision making based on simulation. Next, a case study is developed, in which such steps are reflected to decide whether to implement a PUSH behavior or a PULL behavior in a particular company. The results obtained lead us to the decision to implement PULL instead of PUSH, showing that simulation techniques are a very valuable tool to have in the bank of knowledge in any mature company.

Bibliographic References

  • Ashby, R. (1956): An Introduction to Cybernetics. Chapman & Hall.
  • Banks, J.; Carson, J.S. and Nelson, B.L. (1995): Discrete Event System Simulation, 2nd edition. Prentice-Hall.
  • Beer, S. (1985): Diagnosing the System for Organizations. John Wiley & Sons.
  • Bicheno, J. (2002): The quality 75: Towards Six Sigma performance in service and manufacturing. PICSIE Books.
  • Box, G.; Hunter, W. and Hunter, J. (1978): Statistics for Experimenters. An Introduction to Design, Data Analysis and Model Building. John Wiley & Sons.
  • Clemen, R. and Reilly, T. (2013): Making hard decisions with DecisionTools. Cengage Learning.
  • Davis, D. (2001): Investigación en administración para la toma de decisiones. Thomson.
  • García-Pérez, A. (1992): Estadística aplicada: Conceptos básicos. Universidad Nacional de Educación a Distancia.
  • Hillier, F.S. and Lieberman, G.J. (2008): Introduction to Operations Research, 9th edition. McGraw-Hill.
  • Kelton, D.; Sadowski, R. and Sturrock, D. (2004): Simulation with Arena, 3th edition. McGraw-Hill.
  • Liker, J.K. and Meier, D. (2006): The Toyota Way Fieldbook. McGraw-Hill.
  • Lynch, D. (2003): EVOP Design of Experiments. SAE 2003 World Congress & Exhibition Technical Paper.
  • Pritsker, A.A.B. and Sigal, C.E. (1983): Management Decision making: A Network Simulation Approach. Prentice-Hall.
  • Ragsdale, C. (2014): Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Business Analytics. Cengage Learning.
  • Sobek, D.K. and Smalley, A. (2008): Understanding A3 thinking: a critical component of Toyota's PDCA management system. CRC Press.
  • Sutherland, J. (2014): Scrum: The Art of Doing Twice the Work in Half the Time. Crown Business.
  • Thompson, J. and Koronacki, J. (2002): Statistical Process Control: The Deming Paradigm and Beyond, 2nd edition. Chapman and Hall/CRC.
  • Womack, J.P.; Jones, D.T. and Roos, D. (1990): The Machine that Changed the World. Rawson Associates.
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