Spc technigues in the non – manufacturing areas

  • Elinica Sofijanova
  • Goran Mitev
Keywords: Statistical Quality Control - SPC, TQM concepts, new business - start-up, business plan, control, storage-archiving


In order for the company to maintain optimal process stability to make continuous improvements in order to survive and thrive, management needs to know and use certain tools and methods in quality management. Organizations which embrace the TQM concepts should recognize the value of SPC techniques in areas such as sales, purchasing, invoicing, finance, distribution, training, etc., which are outside production or operations – the traditional area for SPC use. A Pareto analysis, a histogram, a flow chart, or a control chart is a vehicle for communication. Statistical Quality Control (SPC) is a term used to describe the set of statistical tools used by quality professionals. Before start a new business (start-up) should be the right study for feasibility and profitability (feasibility study) and business plan for banks or potential investors in order to secure financing. Statistics can be used to come up with a practical business plan with which will be of interest to potential partners or financial institutions. Ways of using statistical data are: control, storage-archiving and retrieval. When using it is necessary to take into account the wide range of needs such as: the need for users, data quality, complete data inventory when entering documents, data protection and security, comparability of data over a period of time, timeliness of final data, financial implication, public understanding and acceptance.


Download data is not yet available.


[1] Gustavsen, B., B.Hofmaier, M.Ekman Philips&Wikman, Concept – driven development and the organization of the process of change; an evaluation of the process of change, Vol.3 John Benjamins Publishing Company, Amsterdam\ Philadelphia, 2006, p. 118 – 123
[2] Dransfield, S.B., Fisher, N.I., Vogel, N.J. (1999), “Using Statistics and Statistical Thinking to Improve Organizational Performance.” International Statistical Review, 67 (2), 99-122.
[3] Richart L.Daft, Bureaucratic vs. Nonbureaucratic Structure in the Process of Innovation and Change, in Perspectives in Organizational Sociology: Theory and Research, ed.Samuel B.Bacharach(Greenwich,CT:JAI Press, 1982), 129 – 166
[4] Glenn Rifkin, Competing Through Innovation: The case of Borderbund, Strategy + Business11 (Second Quarter 1998), 48 – 58
[5] Duncan, A. J., (1986), Quality Control and Industrial Statistics – 5th edition,Homewood, IL: Irwin
[6] Salacinski, T (2015) SPC - Statistical Process Control. The Warsaw University of Technology Publishing House.
[7] Adapted from Patrick Reinmoeller and Nicole van Baardwijk, The Link Between Diversity and Resillence, MIT Sloan Management Review (Summer 2005), 61 – 65
[8] Evans, J.R.; Lindsay, W. M., (2005), The Management and Control of Quality –6 th edition, Cincinnati - Ohio, United States.
[9] Paul Hersez, Kennet H. Blanchard, Management of Organizational Behavior-Utilrring Human Resources, Fifth Edition, Prentice Hall, Englenjood Cliffs, Nenj Jersez, 1988
[10] Hoerl, R.; Snee, R., (2012), Statistical Thinking: Improving Business Performance – 2 th edition, New Jersey.
[11] Klarić, S.; Pobrić, S., (2009), “Importance of tools and methods for improvement of quality.” Naučno-stručni skup sa sa međunarodnim učešćem ”KVALITET 2009”, Univerzitet „Dţemal Bijedić“, Mašinski fakultet Mostar, Neum, B&H.
[12] Oakland, S.J., (2004), Quality Management, Oxford.
[13] Peter, M.; Oakland, S.J., (2011),Total Quality Management: A pictorial guide for managers, Oxford.
[14] Basu, Ron, Implementing Quality: A practical guide to tools and techniques, Thomson Learning, 2004
[15] Bhatt, G.D. (2001), “Knowledge menadţement in organizations: Examing the interaction between technologies, techniques and people.” Journal of Knowledge Menadžement, 5(1)
[16] Douglas, C. M., (2008), Statistical Quality Control: A Modern Introduction – 6 th edition, United States of America
Management and Business