Importance of Flexibility in Manufacturing Systems

Authors

  • Héctor Kaschel C. Depto. de Ingenierí­a Eléctrica and Depto. de Matemí¡tica y Ciencia de la Computación Universidad de Santiago de Chile Avda. Ecuador ] 3519 Estación Central. Santiago - Chile
  • Luis Manuel Sí¡nchez y Bernal Depto. de Ingenierí­a Eléctrica and Depto. de Matemí¡tica y Ciencia de la Computación Universidad de Santiago de Chile Avda. Ecuador ] 3519 Estación Central. Santiago - Chile

Keywords:

Flexibility, Fuzzy Logic, Disjunctive Graph, Constraints Temporal Network, Complexity in Manufacturing, Non Lineal Mathematic Programming

Abstract

Flexibility refers to the ability of a manufacturing system to respond cost effectively and rapidly to changing production needs and requirements. This capability is becoming increasingly important for the design and operation of manufacturing systems, as these systems do operate in highly variable and unpredictable environments.
It is important to system designers and managers to know of different levels of flexibility and / or determine the amount of flexibility required to achieve a certain level of performance. This paper shows several representations schemes for product flexibility and discusses the usefulness and limitations of each.

References

Alfonso, M., An integration model of Temporary Constraints based on methodology CLOSURE and CSP: Application to Scheduling Problems, Doctoral Thesis presented at University of Alicante, Spain, 2001.

Barber, F., "Reasoning on interval and point-based disjunctive metric constraints in temporal contexts". Journal of Artificial Intelligence Research, pp:35-86, 2000.

Beck, J. and Fox M., "Constraint directed techniques for scheduling alternative activities". Journal of Artificial Intelligence, pp: 211-250, 2000.

Benjaafar, S. and Ramakrishman, R., "Modeling, measurement and evaluation of sequencing flexibility in manufacturing systems", International Journal of Production Research, Vol. 34, pp:1195- 1220, 1996 http://dx.doi.org/10.1080/00207549608904961

Chandra, P. and Tombak, M., Models for the evaluation of routing and machine flexibility, Technical Report of Decision Craft Analytics, www.decisioncraft.com, 1993.

Deshmukh, A., Talavage, J. and Barash, M., "Complexity in Manufacturing Systems", IIE Transaction on Manufacturing Systems, Vol 30, pp: 645 - 655, 2002.

Fortemps, P., "Introducing Flexibility in Scheduling: The Preference Approach", Advances in Scheduling and Sequencing under Fuzziness, Ed. Springer Verlag, pp:61-79, 2000.

Gupta, A., "Approach to Characterize Manufacturing Flexibility", Second World Conference on Production & Operations Management Society, Cancun - México, pp:100-120, 2004.

Calinescu, A., Sivadasan, S., Schirn, J. and Huaccho, L., Complexity in Manufacturing: An Information Theoretic Approach, Technical Report of Manufacturing System Research Group, Department of Engineering Science, University of Oxford, England, 2003.

Pelaez, J. and Ruiz, J., Measuring Operational Flexibility, Technical Report, University of Murcia, Faculty of Economy and Enterprise, Spain, 2004.

Sethi, A. and Sethi, S., "Flexibility in Manufacturing: A survey", International Journal of Operations and Production Management, pp:35-45, 1992.

Tsourveloudis, N. and Phillis, Y., "Fuzzy Assessment of Machine Flexibility", IEEE Transaction on Engineering Management, Vol. 45, pp:78-87, 1998. http://dx.doi.org/10.1109/17.658664

Published

2006-04-01

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