Supply Chain Performance Measurement and Organizational Alignment

Supply Chain Performance Measurement and Organizational Alignment

Rohan Vishwasrao (JDA Software, USA) and Ehap Sabri (University of Texas – Dallas, USA & JDA Software, USA)
DOI: 10.4018/978-1-5225-1837-2.ch081
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The authors describe how organizations can leverage a maturity model approach in conjunction with foundational concepts of perspective-based performance evaluation models like Balanced Scorecard (BSC) to define comprehensive performance measurement framework. Maturity models are essentially a reflection of theories about how the capabilities of an organization evolve. Therefore, by design, they provide a roadmap to the next level of performance. The authors propose using maturity models as a structured way of identifying current capability or maturity level of any supply chain. They then provide guidance on selecting the right “causal linkages” between supply chain objectives and performance measures and define a mechanism for specifying more granular definitions of measures linked to strategic objectives for progressive levels of maturity. The authors survey widely used business process maturity models, current practices for measuring operational metrics, and then present a tiered framework for operational metric alignment and KPI governance, based on perspective-based design principles.
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There are elements of Chance, Choice and Certainty in every aspect of our lives – Zoroaster

Financial metrics are useful lagging outcomes of the performance of an organization, but the operational metrics in-turn are leading indicators of an organizations future performance. Operational metrics, when correctly defined, act as guiding posts to the desired performance end state. Thus, the key question which we attempt to answer is; ‘How to define metrics, which are aligned to the strategic context, as well as deployable in operational reality?’ There are two aspects to this question; alignment to the strategy and operational deploy–ability. ‘Operating metrics are often poorly understood and guidelines for the use of metrics are often poorly articulated’ (Melnyk et al., 2005). The primary challenge is to define metrics such that they are consistent with the strategic objective and the activities at the execution level. Whereas, the secondary challenge then becomes, maintaining this alignment, in the dynamic operational context.

Performance management is a multi–step virtuous cycle that involves creating strategy and plans, monitoring the execution of those plans, and adjusting activity and objectives to achieve strategic goals. A performance management system, consisting of interlinked business architecture and IT architecture, should support this virtuous cycle (Wayne, 2009).

Over the years, a variety of performance measurement systems have been designed and studied by academics and consultants, but organizations struggle to leverage such systems effectively. Over a period of time, disconnect between strategy and metric deployment process are introduced due to changed operational realities both on the IT as well as on the business front. Sometime, minor changes to metric definitions – over-time – lead to incorrect understanding of the measures. To overcome these issues, we propose a comprehensive mechanism to maintain alignment between the operational metrics and organizational strategies, which will enable organizations to – proactively evolve performance management systems as they grow, implement better IT systems and refine operational processes. Subsequent sections of this chapter provide an overview of the fundamental building blocks of our proposed metrics alignment and governance framework. These building blocks are as follows: Balanced Scorecard, Supply Chain Maturity Models and Causal Loop Diagrams from System Dynamics for identifying ‘causal linkages’.

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