ISA-95 Part 2 and Part 3 provide a valuable data definition framework when applying best practices for managing operations and related key performance indicators (KPIs).. The data definition framework is able to serve as the KPI source of information for supply chain scoreboard systems. An example is Production KPI inputs into a MAKE process element of the Supply Chain Operations Reference Model (SCOR) by Supply Chain Council. Designing and implementing these systems require using a process that ensures information alignment with business strategy through construction of financial metrics from operations metrics. Key points necessary to building successful supply chain scoreboard systems include: 1. Understand key stakeholders needs and expectations 2. Summarize and document those needs and expectations through a Statement of Needs (SON) document 3. Identify critical success factors (CSFs)and relevant metrics that align with the SON 4. Prioritize options (oor projects) through the use of a value chart. The value chart quantifies benefits versus risk. 5. Derive appropriate operations KPIs, establish a baseline, and periodically measure identified KPIs based on operational priorities 6. Define the Data Standard Information Layer to normalize manufacturing information and align with Supply Chain metrics 7. Measure, visualize and analyze operations KPIs against baseline 8. Review SON periodically with key stakeholders and adjust operations KPIs based on evolving needs or when the corporate business models or markets change.
Date published: July 2007
Authors:
- MESA, ISA, Invensys/Wonderware