White Paper on Data Architecture for MOM: The Manufacturing Master Data Approach
Dec. 10, 2010
Manufacturing companies' ability to adapt quickly to a changing business environment mainly depends on the agility of their corporate cultures, flexibility of their business processes and interoperability of their IT system(s) they employ.
Unfortunately, many manufacturing companies today have IT systems that are inflexible, antiquated, and are difficult and expensive to enhance, maintain and support.
Many organizations have difficulty managing the data associated with their manufacturing operations. Data ownership, fragmentation across systems, multiple points of failure and data inconsistency is among the problems that lead to product quality and recall situations. Manufacturing Master Data Management (mMDM) Patterns and best practices that have been successfully used for master data management resolve these problems. One pattern is the "Canonical Data Model Pattern," which recommends use of ISA-95 and other manufacturing operations management (MOM) standards to build a canonical manufacturing operations model for the master data. This paper describes these typical data management problems and provides an effective architectural and governance approach to resolve them.
A key aspect of Manufacturing 2.0 (Mfg 2.0) is the explanation that mMDM is different than MDM on the enterprise service bus (ESB) for enterprise business processes. The mMDM services a different set of applications for manufacturing operations management such as dispatching, route execution, and alarm & event applications which have a much more granular set of objects, attributes, and production rules than those serviced by MDM, which represents enterprise planning, (master) scheduling, and logistics. The form and role of MDM is very dependent on the vertical industry, products set, market segment, production type and complexity, and supply chain type. Due to the high change rate of the Mfg 2.0 applications resulting from new product introductions, changed Stock Keeping Unit (SKU) counts, evolving process technologies documents, and production scaling, mMDM requires a dedicated set of tools and services. This paper was produced as part of the MESA/ISA-95 Best Practices Working Group through an international peer review process involving 5 or more subject matter reviewers. This MESA White Paper will also be published in one of two methodology best practices collection, Book 2.0, When Worlds Collide in Manufacturing Operations (Collections published by ISA, 1/1/11).
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