AUTHORS: Mohamed Tarek Chahid
Download as PDF
ABSTRACT: This study aims to extend the SCOR model used in the supply chain (SC) context; we propose to extend here the proposed approaches for expressing the overall performance of an SC. The aggregation of appropriate Key Performance Indicators (KPI) in the global performance formula is based on a Sugeno integral operator, according to the fuzzy set theory, in order to deal with the nonlinearity of this model, makes data ambiguous in the process of multicriteria decision-making. Therefore, this work aims to help managers to select a suitable supplier in the Supply Chain context. The approach is used to evaluate the best contractors by using the Sugeno Integral to deal with the interrelationships aspects between KPI
KEYWORDS: Performance aggregation; Sugeno integral; Supply chain; SCOR model
REFERENCES:
[
1]. M.Hlyal, M.T.Chahid, J. El Alami, A.
Soulhi and N. El Alami, “Supplier’s Selection
for the Moroccan Textile Sector by Using
Performance Measurement System”, Modern
Applied Science, vol. 9, No 3, 2015, doi:
10.5539/mas.v9n3p102.
[2]. L. Berrah,. and V. Clivelle, “Towards an
aggregation performance measurement system
model in a supply chain context”, Computers in
Industry, vol. 58, 2007, pp 709-719.
[3]. L. Berrah, G. Mauris, and J. Montmain,
“Monitoring the Improvement of an overall
industrial performance based on a Choquet
integral aggregation”, Omega, Vol. 36, 2008, pp
340-351.
[4]. J. Michalska, “The usage of the balanced
scorecard for the estimation of the enterprise’s
effectiveness”, Journal of materials processing
technology, vol. 162-163, 2005, pp 751-758.
[5]. U.S. Bititci, P. Suwignjo, and A.S. Carrie,
“Strategy management through quantitative
modeling of performance measurement system
”, International Journal of Production
Economics, vol. 69, 2001, pp 15-22.
[6]. S.A. Melnyk, U.S. Bititci, K. Platts, J.
Tobias and B. Anderson, “Is performance
measurement and management fit for the
future?” Management Accounting Research,
Vol. 25, No. 2, 2014, pp 173-186.
[7]. P. Kueng, A.J. Krahn, “Building a process
performance measurement system: some early
experiences”, Journal of Scientific, and
Industrial Research, vol. 58, 1999, pp 149–59.
[8]. Y. Ducq, B. Vallespir, and G. Doumeingts,
“Coherence analysis methods for production
systems by performance aggregation”,
International Journal of Production Economics.
Vol. 7, 2001, pp 23–37.
[9]. V. Clivelle, L. Berrah and G. Mauris, ”
Quantitative expression and aggregation of
performance measurements based on the
MACBETH multi-criteria method”,
International Journal of Production Economics,
vol. 105, 2006, pp 171-189.
[10]. A. Neely, “The performance measurement
revolution: why now and what next?”
International Journal of Operations &
Production Management, vol. 19, No. 2, 1999,
pp 205–228.
[11]. T. Takagi, and M. Sugeno, “Fuzzy
Identification of Systems and Its Applications
to Modeling and Control”, IEEE Transactions
on Systems, Man, and Cybernetics, Vol. smc15, No. 1, 1985, pp 116-132.
[12]. G. Buyukozkan, and D. Ruan, “Choquet
integral based aggregation approach to software
development risk assessment”, Information
Sciences, Vol. 180, 2010, pp 441-451.
[13]. M. Grabisch, “A Constructive approach to
multicriteria decision making”, Traitement du
signal, Vol. 22, No. 4, 2005, pp 321-338.
[14]. D. J. Jeng, “Selection of an Improvement
Strategy in Internal Service Operations: The
MCDM Approach with Fuzzy AHP and
Nonadditive Fuzzy Integral”, International
Journal of Innovative Computing, Information
and Control, Vol. 8, No. 8, 2011, pp 5917-
5933.
[15] M.T. Chahid, J. El Alami, A. Soulhi and N.
El Alami, “Performance Measurement Model
for Moroccan Automotive Suppliers Using
PMQ and AHP”, Modern Applied Science, vol.
8, No 6, 2014, doi:10.5539/mas.v8n6p13.
