Abstract
Manufacturers are faced with complex global challenges that contributed to significant changes in the business environment. These challenges drive business to continuously assess their performance and competitiveness. This paper proposes a model that will assist companies, particularly the small and medium-sized enterprises, assess their performance by prioritizing performance measures and selecting an adequate operations strategy under various market scenarios. The outlined model utilizes and integrates the Supply Chain Operations Reference framework and the Analytical Hierarchy Process approach to construct, link, and assess a multi-levels hierarchal structure. The model also assist small and medium-sized enterprises put more weight on supply chain attributes. The use and benefits of the proposed model are illustrated on a case of a family owned, medium-sized manufacturing enterprise.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
SME Research and Statistics. http://ic.gc.ca/eic/site/061.nsf/eng/h_02689. Accessed 2013
Holban, I.: Strategic performance measurement system and SMEs competitive advantage. In: International Conference on Economics and Administration, University of Bucharest, Faculty of administration and businesses (2009)
Cocca, A., Alberti, M.: “SME’s three step pyramid: a new performance measurement framework for SMEs”. In: 16th International Annual EUROMA Conference: Implementation–Realizing Operations Management Knowledge, Göteborg (2009)
Hudson, M., Lean, J., Smart, P.: Improving control through effective performance measurement in SMEs. Prod. Plan. Control 12(8), 804–813 (2001)
Hvolby, H., Thorstenson, A.: Indicators for performance measurement in small and medium-sized enterprises. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 215(8), 1143–1143 (2001)
Gosselin, M.: An empirical study of performance measurement in manufacturing firms. Int. J. Prod. Perform. Manage. 54(5/6), 419–437 (2005)
Bititci, U.: Modelling of performance measurement systems in manufacturing enterprises. J. Prod. Econ. 42(2), 137–147 (1995)
Globerson, S.: Issues in developing a performance criteria system for an organization. Int. J. Prod. Res. 23(4), 639–646 (1985)
Neely, A.: The performance measurement revolution: why now and what next? Int. J. Oper. Prod. Manage. 19(2), 205–228 (1999)
Melnyk, S., Stewart, D., Swink, M.: Metrics and performance measurement in operations management: dealing with the metrics maze. J. Oper. Manage. 22(3), 209–218 (2004)
Taticchi, P., Tonelli, F., Cagnazzo, L.: Performance measurement and management: a literature review and a research agenda. Meas. Bus. Excell. 14(1), 4–18 (2010)
Tangen, S.: Performance measurement: from philosophy to practice. Int. J. Prod. Perform. Manage. 53(8), 726–737 (2004)
Tenhunen, J., Rantanen, H., Ukko, J.: SME oriented implementation of performance measurement system. Lappeenranta University of Technology, Department of Industrial engineering and management, Lahti, Finland (2001)
Chennell, A., Dransfield, S., Field, J., Fisher, N., Saunders, I., Shaw, D.: “OPM: a system for organizational performance measurement”. In: Performance Measurement in Past, Present and Future, pp. 96–103. Cranfield University, Cranfield, Cranfield (2005)
Dixon, J., Nanni, A., Vollmann, T.: “The new performance challenge: measuring operations for world-class competition”. In: Business One, Dow Jones-Irwin, Homewood, IL (1990)
Garengo, P., Biazzo, S., Bititci, U.: Performance measurement systems in SMEs: a review for a research agenda. Int. J. Manage. Rev. 7(1), 25–47 (2005)
Saaty, T.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1(1), 83–98 (2008)
Chen, K., Huang, M., Chang, P.: Performance evaluation on manufacturing times. Int. J. Adv. Manuf. Technol. 31(3–4), 335–341 (2006)
Cheng, E., Li, H.: Analytic hierarchy process: an approach to determine measures for business performance. Meas. Bus. Excell. 5(3), 30–37 (2001)
Rangone, A.: An analytical hierarchy process framework for comparing the overall performance of manufacturing departments. Int. J. Oper. Prod. Manage. 16(8), 104–119 (1996)
Wang, G., Huang, S., Dismukes, J.: Manufacturing supply chain design and evaluation. Int. J. Adv. Manuf. Technol. 25(1–2), 93–100 (2005)
Haq, A., Kannan, G.: Fuzzy analytical hierarchy process for evaluating and selecting a vendor in a supply chain model. Int. J. Adv. Manuf. Technol. 29(7–8), 826–835 (2006)
Cheng, E., Li, H., Ho, D.: Analytic hierarchy process: a defective tool when used improperly. Meas. Bus. Excell. 6(4), 33–37 (2002)
Supply Chain Council. http://supply-chain.org/scor. Accessed 2013
Arend, R., Wisner, J.: Small business and supply chain management: is there a fit? J. Bus. Venture 20, 403–436 (2005)
Collaboration and Decision Support Software for Groups & Organizations. http://expertchoice.com. Accessed 2013
Fisher, M.: What is the right supply chain for your product? Harvard Bus. Rev. 75, 105–117 (1997)
Chopra, S., Meindl, P.: Supply Chain Management. Pearson Prentice-Hall, Upper Saddle River (2004)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Alomar, M., Pasek, Z.J. (2015). A Performance Improvement and Management Model for Small and Medium Sized Enterprises. In: Pinson, E., Valente, F., Vitoriano, B. (eds) Operations Research and Enterprise Systems. ICORES 2014. Communications in Computer and Information Science, vol 509. Springer, Cham. https://doi.org/10.1007/978-3-319-17509-6_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-17509-6_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-17508-9
Online ISBN: 978-3-319-17509-6
eBook Packages: Computer ScienceComputer Science (R0)