Application of fuzzy logic in performance management: a literature review

Verónica Gurrea, Juan-José Alfaro-Saiz, Raúl Rodríguez-Rodríguez, María-José Verdecho

Abstract

Performance management has become in a key success factor for any organization. Traditionally, performance management has focused uniquely in financial measures, mainly using quantitative measures, but two decades ago they were extended towards an integral view of the organization, appearing qualitative measures. This type of extended view and associated measures have a degree of uncertainty that needs to be bounded. One of the essential tools for uncertainty bounding is the fuzzy logic and, therefore,the main objective of this paper is the analysis of the literature about the application of fuzzy logic in performance measurement systems operating within uncertainty environments with the aim of categorizing, conceptualizing and classifying the works written so far. Finally, three categories are defined according to the different uses of fuzzy logic within performance management concluding that the most important application of fuzzy logic that counts with a higher number of studies is uncertainty bounding.

Keywords

fuzzy logic; uncertainty; performance measurement; performance management; supply chain

Full Text:

PDF

References

Amini, S. &Jochem, R. (2011) "A Conceptual Model based on the Fuzzy Set Theory to Measure and Evaluate the Performance of Service Processes".15th International Enterprise Distributed Object Computing Conference Work-shops, pp. 122-131. http://dx.doi.org/10.1109/EDOCW.2011.25

Ammar, S. & Wright, R. (1995), "A Fuzzy Logic Approach to Performance Evaluation". Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., pp. 246 - 251

Ammar, S. & Wright, R. (2000), "Applying fuzzy-set theory to performance evaluation".Socio-EconomicPlanningSciences 34, pp.285-302 http://dx.doi.org/10.1016/S0038-0121(00)00004-5

Arango, M.D., Jaimes, W.A. & Zapata, J.A. (2010) "Gestion cadena de abastecimiento - Logistica con indicadores bajo incertidumbre, caso aplicado sector panificador palmira" Ciencia e Ingeniería Neogranadina, Vol. 20-1, pp. 97-115.

Beheshti,H.M. &Lollar, J.G. (2008) "Fuzzy logic and performance evaluation: discussion and application". Interna-tional Journal of Productivity and Performance Management Vol. 57 No. 3, pp. 237-246. http://dx.doi.org/10.1108/17410400810857248

Behrouzi, F. & Wong, K.Y. (2010) "Lean performance evaluation of manufacturing systems: A dynamic and innova-tive approach". Procedia Computer Science 3, pp 388–395. http://dx.doi.org/10.1016/j.procs.2010.12.065

Behrouzi, F., Wong, K.Y. &Kuah,C.T. (2010) "A Fuzzy-Based Model to Measure Supplier Performance with Lean Attributes".

Chan, T.S., Ql, H.J. (2003), "An innovative performance measurement method for supply chain management". Sup-ply Chain Management: An International Journal Volume 8 Number 3, pp. 209-223.

Chan, T.S., Ql, H.J., Chan, H.K., Lau, C.W. &Ip, W.L. (2003), "A conceptual model of performance measurement for supply chains".Management decision 41/7, pp. 635-642. http://dx.doi.org/10.1108/00251740310495568

Chen, C., Lin C. & Huang S., (2006), "A fuzzy approach for supplier evaluation and selection in supply chain man-agement". Int. J. Production Economics 102, pp 289–301 http://dx.doi.org/10.1016/j.ijpe.2005.03.009

Cheng, S.R., Hsu, B.M. &Shu, M.H. (2007) "Fuzzy testing and selecting better processes performance". Industrial Management & Data Systems Vol. 107 No. 6, 2, pp. 862-881. http://dx.doi.org/10.1108/02635570710758761

Datta S., Samantra C., Sankar S., Mandal G. &Majumdar G., (2011), "Appraisement and selection of third party logistics service providers in fuzzy environment". Benchmarking: An International Journal Vol. 20 No. 4, 2013, pp. 537-548

Ferreira, A., Azevedo,S. &Fazendeiro, P. (2012) "A Linguistic Approach to Supply Chain Performance Assessment". IEEE International Conference on Fuzzy Sistems, pp.1-5.

Ganga, D.M. &Carpinetti, L. (2011) "A fuzzy logic approach to supply chain performance management". Int. J.ProductionEconomics134, pp. 177–187.

Jain V., Tiwari M. & Chan E., (2004), "Evaluation of the supplier performance using an evoluyionary fuzzy-based approach". Journal of Manufacturing Technology Management, Volume 15 • Number 8 • 2004 • pp. 735–74

Lau H., Pang W. & Wong C., (2002), "Methodology for monitoring supply chain performance: a fuzzy logic ap-proach". Logistics Information Management, Vol. 15 Iss: 4, pp.271 – 280 http://dx.doi.org/10.1108/09576050210436110

Lalmazloumian M. & Yew K., (2012), "A Review of Modelling Approaches for Supply Chain Planning Under Un-certainty". 9th International Conference on Service Systems and Service Management (ICSSSM), pp. 197-203.

Liao M. & Wu C., (2010), "Evaluating process performance based on the incapability index for measurements with uncertainty". Expert Systems with Applications 37, pp 5999–6006 http://dx.doi.org/10.1016/j.eswa.2010.02.005

Lu, C. & Wei li, X. (2006), "Supply Chain Modeling Using Fuzzy Sets and Possibility Theory in an Uncertain Envi-ronment". The Sixth World Congress on Intelligent Control and Automation, Vol.2, pp. 3608-3612.

Mahnam M., Reza M., Famil V. & Reza S., (2008), " Supply chain modeling in uncertain environment with bi-objective approach". Computers & Industrial Engineering 56, pp 1535–1544. http://dx.doi.org/10.1016/j.cie.2008.09.038

Mu-oz M., Rivera J. &Moneva J., (2008), "Evaluating sustainability in organisations with a fuzzy logic approach". Industrial Management & Data Systems, Vol. 108 No. 6, pp. 829-841 http://dx.doi.org/10.1108/02635570810884030

Nunes, I.L., Figueira, I. & Machado, V.C. (2011) "Evaluation of a Supply Chain Performance Using a Fuzzy Deci-sion Support System".

Ohdar R. & Kumar P., (2004), "Performance measurement and evaluation of suppliers in supply chain: an evolution-ary fuzzy-based approach". Journal of Manufacturing Technology Management • Volume 15 • Number 8 • pp. 723–734

Olugu, E.U. & Wong, K.Y. (2012) "An expert fuzzy rule-based system for closed-loop supply chain performance assessment in the automotive industry" Expert Systems with Applications 39, pp. 375–384. http://dx.doi.org/10.1016/j.eswa.2011.07.026

Ordoobadi S., (2009), "Development of a supplier selection model using fuzzy logic". Supply Chain Management: An International Journal, pp 314–327

Pilevari, N., SeyedHosseini, S.M. &Jassbi, J. (2008) "Fuzzy Logic Supply Chain Agility Assessment Methodolo-gy".IEEE International Conference on Industrial Engineering and Engineering Management,6, pp. 1113-1117.

Serna M., Serna C. & Pérez G., (2008), "Aplicaciones de lógica difusa a las cadenas de suministro". Revista Avances en Sistemas e Informática, Vol 5 -Nº 3, Dic. 2008, ISNN 1657-7663

Tabrizi B. &Razmi J., (2013), "Introducing a mixed-integer non-linear fuzzy model for risk management in designing supply chain networks". Journal of Manufacturing Systems 32, pp 295– 307 http://dx.doi.org/10.1016/j.jmsy.2012.12.001

Theeranuphattana, A. & Tang, J.C.S. (2008) "A conceptual model of performance measurement for supply chains, alternative considerations". Journal of Manufacturing Technology Management Vol. 19 No. 1, pp. 125-148. http://dx.doi.org/10.1108/17410380810843480

Unahabhokha, C., Platts,K. & Tan, K.H. (2007) "Predictive performance measurement system, a fuzzy expert system approach". Benchmarking: An International Journal Vol. 14 No. 1, pp. 77-91. http://dx.doi.org/10.1108/14635770710730946

Van Der Vorst J. and Beulens A. (2002) "Identifying sources of uncertainty to generate supply chain redesign strate-gies". International Journal of Physical Distribution and Logistics Management, Vol. 32, N°6, pp.409-430. http://dx.doi.org/10.1108/09600030210437951

Wang J. &Shu Y., (2009) "Fuzzy decision modeling for supply chain management".

Wei, C-C.,Liou, T-S. & Lee, K-L. (2008) "An ERP performance measurement framework using a fuzzy integral approach". Journal of Manufacturing Technology Management Vol. 19 No. 5, pp. 607-626. http://dx.doi.org/10.1108/17410380810877285

Xu Xiao Xia, L., Ma, B. & Lim, R. (2008) "Supplier Performance Measurement in a Supply Chain". 6th IEEE Inter-national Conference on Industrial Informatics, pp. 877-881.

Abstract Views

7553
Metrics Loading ...

Metrics powered by PLOS ALM


 

Cited-By (articles included in Crossref)

This journal is a Crossref Cited-by Linking member. This list shows the references that citing the article automatically, if there are. For more information about the system please visit Crossref site

1. Diagnosis of quality management systems using data analytics – A case study in the manufacturing sector
Rafael Sanchez-Marquez, José Miguel Albarracín Guillem, Eduardo Vicens-Salort, José Jabaloyes Vivas
Computers in Industry  vol: 115  first page: 103183  year: 2020  
doi: 10.1016/j.compind.2019.103183



This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives- 4.0 International License 

Universitat Politècnica de València

e-ISSN: 2340-4876     ISSN: 2340-5317   https://doi.org/10.4995/ijpme