Performance management and Operational Research: a marriage made in heaven?

This survey paper starts with a critical analysis of various performance metrics for supply chain management (SCM), used by a specific manufacturing company. Then it summarizes how economic theory treats multiple performance metrics. Actually, the paper proposes to deal with multiple metrics in SCM via the balanced scorecard -which measures customers, internal processes, innovations, and finance. To forecast how the values of these metrics will change -once a supply chain is redesigned -simulation may be used. This paper distinguishes four simulation types for SCM: (i) spreadsheet simulation, (ii) system dynamics, (iii) discrete-event simulation, and (iv) business games. These simulation types may explain the bullwhip effect, predict fill rate values, and educate and train users. Validation of simulation models requires sensitivity analysis; a statistical methodology is proposed. The paper concludes with suggestions for a possible research agenda in SCM. A list with 50 references for further study is included.

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“…14 We, however, base this section on Oasis. 15 Kaplan and Norton compare the BSC to the dials in an airplane's cockpit or a car's dashboard.…”

Section: Balanced Scorecard (Bsc)mentioning

confidence: 99%

“…Actually, simulation can help to design alternative strategies, and to quantify their costs and benefits. (Smith and Goddard, 14 however, completely ignore simulation in their discussion of 'analytical techniques' for performance measurement. )…”

Section: Bsc and Simulationmentioning

confidence: 99%

Performance metrics in supply chain management

Kleijnen

Smits

2003

Journal of the Operational Research Society

273

157

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“…Under the World Health Organization definition stated above, leadership and governance involve setting priorities for the maintenance and improvement of the population's health, assessing progress towards attainment of those priorities, and ensuring that all relevant actors are held properly to account for their actions. Following Smith and Goddard [12], we summarize this process with reference to three key components: setting priorities, monitoring performance, and holding to account. Although necessarily a simplification, this three-part model captures many of the essential features of the leadership and governance challenge.…”

Section: Introductionmentioning

confidence: 99%

Leadership and governance in seven developed health systems

et al. 2012

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AcknowledgementsThis paper is based on work commissioned by the Commonwealth Fund for its 2010 International Symposium on Health Policy. The authors would like to thank Sarah Thomson (LSE Health) and Robin Osborn (Commonwealth Fund) for valuable guidance, Sarah Jane Reed (LSE Health) for research assistance, and seminar participants and referees for helpful comments. where there is greatest uncertainty about the optimal approach. We conclude that a judicious mix of accountability mechanisms is likely to be appropriate in most settings, including market mechanisms, electoral processes, direct financial incentives, and professional oversight and control. The mechanisms should be aligned with the priority setting and monitoring processes.

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“…[2] However, since a hospital is a complex stochastic system, simple deterministic approaches for planning and managing the system are considered to be inadequate. [3,4] A better way of assessing the system's activity is to consider the measurement of flow of patients through hospitals and other health care facilities. Patient flow is an important aspect in the systemic approach of health care services as it brings out the temporal dimension of the system as well as the structural.…”

Section: Introductionmentioning

confidence: 99%

Length of Stay-Based Patient Flow Models: Recent Developments and Future Directions

Marshall

Vasilakis

El‐Darzi

2005

Health Care Manage Sci

134

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Modelling patient flow in health care systems is considered vital in understanding the system's activity and may therefore prove to be useful in improving their functionality. A measure, extensively used, is the average length of stay which, although easy to calculate and quantify, assumes normally distributed data thus making the subsequent modelling of resources totally unsuitable. In fact, simple deterministic models are generally considered inadequate, hence the necessity for models to reflect the complex, variable, dynamic and multidimensional nature of the systems. This paper focuses on modelling length of stay and flow of patients. An overview of such modelling techniques is provided, with particular attention to their impact and suitability in managing a hospital service. Running Title: Modelling Patient Flow through Hospitals

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Performance management and Operational Research: a marriage made in heaven?

Cited by 105 publications

References 26 publications

Performance metrics in supply chain management

Performance metrics in supply chain management

Leadership and governance in seven developed health systems

Length of Stay-Based Patient Flow Models: Recent Developments and Future Directions

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