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Guven-USlu, P.; Chan, H. K.; Ijaz, S.; Bak, O.; Whitlow, B.; Kumar, V. (2015)
Publisher: Taylor & Francis
Languages: English
Types: Article
This paper reports the findings from a case study research about in-depth analysis of ‘decoupling point’ as a reference model to address a particular management dilemma. Managers from a health service organisation contacted the researchers to investigate possible causes of a managerial dilemma where managers and clinical professionals were not able to agree on a satisfactory decision. Researchers designed a decoupling point reference model where decision-making was taking place to decide which particular process would be chosen for treatment. Clinical professionals were favouring a particular process because of health benefits to patients, whereas managers were more inclined to support a different process, which seemed to bring better outcomes for the organisation. The decoupling point implied applying a hybrid strategy where lean and agile paradigms coexisted so that particular operational views of these different groups of professionals could be taken into account simultaneously. The current performance management system indicated some limitations in the sense that it did not include relevant knowledge of the processes that the reference model suggested. The paper concluded that reference models have potential to offer benefits if considered as tools of process-driven analysis for service organisations. They could serve to find out about potential conflict between different professional groups, as well as indicating the limitations or weaknesses of other critical aspects of management such as measuring of performance and allocations of resources so that better integration across all facets of the service could be achieved.
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    • 2. Literature Review and Questions
    • 2. 1 Health Service Operations Management
    • lean thinking (Womack and Jones, 2003; Heines et al, 2004; La Ganga, 2011) to
    • de Vries, J., Huijsman, R. (2011). “Supply chain management in health services: an overview”. Supply Chain Management: An International Journal, Vol. 16 No. 3: pp. 159-165.
    • Fernandes, K J (2012) A Framework for Service Systems Analysis: theory and practice, 23:7, pp 480-497.
    • Giesberts, P. M. J., and Van Der Tang, L. (1992). Dynamics of the customer order decoupling point: impact on information systems for production control. Production Planning & Control, 3(3), 300-313.
    • Guven-Uslu, P. (2012),“Uncertainty and commitment in commissioning of health services”, Public Money and Management, 12: 349-356.
    • Hallgreen, M and Olhalger, J. (2009), “Lean and agile manufacturing: external and internal drivers and performance outcomes” International Journal of Operations & Production Management, Vol. 29 No. 10, pp.976-999
    • Herer, Y. T., Tzur, M. and Yücesan, E. (2002). Transshipments: An emerging inventory recourse to achieve supply chain leagility. International Journal of Production Economics, 80(3), 201-212.
    • Hines, P., Holweg, M. and Rich, N. (2004), “Learning to evolve - a review of contemporary lean thinking”, International Journal of Operations & Production Management, Vol. 24 No. 10,pp.914-1011
    • Huang, Y. -Y and Li, S. - J. (2010). How to achieve leagility: A case study of a personal computer original equipment manufacturer in Taiwan. Journal of Manufacturing Systems, 29(2-3), 63-70.
    • Inman, R. A., Sale, R. S., Green, K. W., Whitten, D. (2011), “Agile manufacturing: Relation to JIT, operational performance and firm performance”, Journal of Operations Management, Vol. 29 No. 4: 343-355.
    • Jarrett, P.J. (1998). “Logistics in the health care industry”. International Journal of Physical Distribution and Logistics Management, Vol. 28 No 9-10: pp. 741-772.
    • Ketokivi, M., Jokinen, M. (2006), “Strategy, uncertainty and the focused factory in international process manufacturing”, Journal of Operations Management, Vol. 24, No. 3: pp. 250-270.
    • Kisperska-Moron, D. and de Haan, J. (2011). Improving supply chain performance to satisfy final customers: “Leagile” experiences of a polish distributor. International Journal of Production Economics, 133(1), 127-134.
    • Kohlberg, B., Dahlgaard, J. & Brehmer, P. (2007), “Measuring Lean Initiatives in Health Care Services: Issues and Findings” in International Journal of Productivity and Performance Management, Vol. 56, No 1, pp. 7-24
    • Kumar, A., Ozdamar, L. Zhang, C.N. (2008), “Supply Chain Redesign in the healthcare industry of Singapore”. Supply Chain Management: An international journal. Vol.13, No.2, pp. 95-103
    • LaGanga, L.R. (2011). “Lean service operations: Reflections and new directions for capacity expansion in outpatient clinics”. Journal of Operations Management, Vol. 29 No. 5: pp. 422-433.
    • Lillrank, P., Groop, J., Venesmaa, J. (2011). “Processes, episodes and events in health service supply chains”. Supply Chain Management: An International Journal, Vol. 16 No. 3: pp. 194-201.
    • Maguire, S (2012) Editorial- Special Issue, Production Planning and Control: Service Science, 23:7, pp477-479.
    • Maguire, S; Ojiako, U; Papadopoulos, T; Shafti, F; Koh, L and Kanellis, P (2012) Synchronicity and Alignment of Productivity: the real value form service science, production Planning and Control, 23:7, pp 498-512.
    • Rivard-Rover, H., Landry, S., Beaulieu, M. (2002). “Hybrid stockless: a case study: Lessons for health-care supply chain integration”. International Journal of Operations and Production Management, Vol. 22 No. 4: pp. 412-424.
    • Rogell, Rose, D. and Rumbelow, H. (2010). “Caesarean births “myth” demolished”. The Times, Tuesday June 29, 2010
    • Rudberg, M. and Wikner, J. (2005), “Integrating production and engineering perspectives on the customer order decoupling point”, International Journal of Operations and Production Management, Vol. 25 No. 7, pp. 623-641.
    • Rudberg, M. and Wikner, J. (2004), “Mass customization in terms of the customer order decoupling point”, Production Planning & Control, Vol. 15 No. 4, pp. 445- 58.
    • Samuel, C., Gonapa, K., Chaudhary, P.K., Mishra, A. (2010). “Supply chain dynamics in healthcare services”. International Journal of Health Care Quality Assurance, Vol. 23 No. 7, pp. 631-642.
    • Silvestro, R. and Silvestro C. (2003), “New service design in the NHS: an evaluation of the strategic alignment of NHS Direct”, International Journal of Operations and Production Management, Vol. 23 No. 4, pp.401-417.
    • Smith, J (2001), “Redesigning health care”, British Medical Journal, Vol. 322, pp.1257-8
    • Soni, G. and Kodali, R. (2012). Evaluating reliability and validity of lean, agile and leagile supply chain constructs in Indian manufacturing industry. Production Planning & Control, 23(10-11), 864-884.
    • Stock, G N; Greis, N P and Kasarda, J D (2001) Enterprise Logistics and supply chain structure: the role of fit, Journal of Operations Managament, 18:5, 531-547.
    • Towill, D.R., Christopher, M. (2005). “An evolutionary approach to the architecture of effective healthcare delivery systems”. Journal of Health Organization and Management. Vol. 19 No. 2: pp. 130-147.
    • Voss, C., Tsikriktsis, N., Frohlich, M. (2002). “Case research in operations management”. International Journal of Operations and Production Management, Vol. 22 No. 2: pp. 195-219.
    • Yin, R. (2003), “Case Study Research: Design and Methods”, 2nd ed., Sage, London.
    • Walshe, K., and Smith, J. (2006). “Healthcare Management”. Oxford University Press, 2006.
    • Ward, S. (2006). “Thinking lean”. Health Service Review ; Vol. 65, pp. 12-13
    • Westwood, N (2006), “What can the NHS learn from the Lean Machine?” Institute for Innovation and Improvement.
    • Westwood, N. and Silvester, K. (2007) “Eliminate NHS losses by adding Lean and some Six Sigma”. Operations Management. Vol. 5, pp. 26-30
    • Westwood, N. (2007) “Lean Is a Win”, Healthcare Finance, May, p.6.
    • Westwood, N. and Silvester, K. (2006), “Leaning Towards Efficiency”, Healthcare Finance, November, pp 13-16.
    • Womack, J.P. and Jones, D.T. (2003). “Lean Thinking”, 2nd ed., Simon & Schuster, New York, NY.
    • Wortmann, J. C. (1987). Information systems for assemble-to-order production: An application. Engineering Costs and Production Economics, 12(1-4), 187-196.
    • Yin, R K (2003), “Case Study Research”, Applied Social Research Methods Series, Vol.5, 3rd ed., Sage Publications Inc.
    • Young,T., Brailsford, S., Connell, C., Davies, R., Harper, P. , Klein, J.H. (2004). “Using industrial processes to improve patient care”, British Medical Journal, Vol. 328: pp.162-164.
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