Fuzzy approach to business improvement of holding equipment in the conditions of decreased production range

Authors

  • Branko Tadić Faculty of Mechanical Engineering, Kragujevac
  • Danijela Tadić Faculty of Mechanical Engineering, Kragujevac
  • Nenad Marjanović Faculty of Mechanical Engineering, Kragujevac

DOI:

https://doi.org/10.2298/YJOR0702223T

Keywords:

assembled and disassembled equipment, fuzzy ABC method, fuzzy data

Abstract

In recent years, manufacturing industry has been characterized by a decreased production range and a demand for a rapid change of production programs. In such conditions holding equipment costs are considerably larger. In this paper, we review and analyze possible ways of business improvement concerning holding equipment in specific production conditions characterized by the decreased production range and lack of financial sources for applying systems of assembled and disassembled equipment. Classification of elements and group of elements of those systems is performed by applying a new fuzzy ABC method presented in this paper. Selected optimization criteria describe the performance measures of elements and group of elements of assembled and disassembled equipment whereas their relative weights are not the same. It is assumed that the values of imprecise optimization criteria and their relative weights are described by discrete fuzzy numbers. The developed procedure is illustrated by an example with real input data.

References

Dubois, D., i dr. (2004) A generalized vertex method for computing with fuzzy intervals. u: Roska T. [ur.] Proc. of the Int. Joint Conference on Neural Networks & IEEE Int. Conference on Fuzzy Systems, Budapest, str. 541-546

Dubois, D., Prade, H.M. (1986) Fuzzy sets and statistical data. European Journal of Operational Research, vol. 25, str. 345-356

Galović, D. (2001) A fuzzy approach to ABC analysis in production system. u: N. Bokan, et al [ur.] Yugoslav Symposium on Operational Research, 651-654

Galović, D.P. (1999) Višekriterijumska optimizacija izbora strategija nabavljanja u složenom višenivovskom proizvodno distributivnom sistemu. Beograd: Mašinski fakultet, doktorska disertacija

Klir, J., Clair, U., Yuan, B. (1997) Fuzzy sets theory: Foundation and applications. Prentice Hall PRT

Kosko, B. (1994) Fuzzy thinking: The new science of fuzzy logic. New York: Hyperion

Petrović, R., Petrović, D. (2001) Multicriteria ranking of inventory replenishment policies in the presence of uncertainty in customer demand. International journal of production economics, 71(1-3): 439-446

Puente, J., i dr. (2001) ABC classification with uncertain data: A fuzzy model vs. Probabilistic model. European J. Oper. Res, accepted for publication

Saaty, T.L. (1990) How to make a decision: The analytic hierarchy process. European Journal of Operational Research, vol. 48, br. 1, str. 9-26

Tadić, B. (2002) Special holding equipment-solved problems. Kragujevac: the Faculty of Mechanical Engineering

Tadić, B., Mitrović, S. (2005) Business improvement using holding tools in low production process environment. u: Dašić P. [ur.] Int. Conference Research and Development in Mechanical Industry, Vrnjačka Banja, str. 278-283

Tadić, D., Stanojević, P. (2005) Classification of items by new ABC method. u: De Baets B., J.Fodor, S.Radojević [ur.] EUROFUSE 2005, Belgrade: Euro Working Group on Fuzzy Sets 'Fuzzy for better', str. 252-259

Yoon, K.P., Hwang, Ch.L. (1995) Multiple attribute decision making: An introduction. u: Paper Series: Quantitative Applications in the Social Sciences, Thousand Oaks, California: Sage University, 104

Zimmermann, H.J. (1996) Fuzzy set theory and its applications. Dordrecht, itd: Kluwer Academic

Downloads

Published

2007-09-01

Issue

Section

Research Articles