Applying Manufacturing Operations Models In A Discrete Hybrid Manufacturing Environment
CHANDLER, ARIZ., June 27, 2013 - All the manufacturing processes, scenarios, modes of operation, and application of techniques described in this paper are currently in use in an established discrete and discrete/batch hybrid manufacturing enterprise that produces and repairs complex machinery. The enterprise makes products ranging from simple parts machined from bar stock to complex machined assemblies; the final products incorporate numerous in-house and third-party-supplied subassemblies. Occasionally, the optimized operations definitions vary across characterized and uncharacterized abnormal modes of operations or situations. The optimized and abnormal modes of operation are modeled using the concepts of MES/MOM as set forth by ISA-95 Part 3, Activity Models for Manufacturing Operations Management (MOM).
The paper explains a requirements definition method using ISA-95 Part 3 modeling techniques to describe the integration of a Manufacturing Execution System (MES) as part of MOM into enterprise manufacturing architecture. The MES functions, by definition, are part of MOM system architecture, which complements the Enterprise Resource Planning (ERP) and supply chain management (SCM) systems by providing essential information for production and support operations. This is a foundational user requirement for the company's operations transformation to a fully integrated operations environment to reduce dependence on manual data entry and to improve data integrity into the extended enterprise from manufacturing sites.
Ultimately, a MES/MOM implementation to the enterprise helps keep operations visible to ensure that production and shipments are as scheduled and operations costs predictable.
The paper has two sections. The first section is background information describing (1) the domain of discrete hybrid manufacturing operations with the three main types of operations applications that support operations in most companies and their touch points and (2) the system design and execution required to implement MES/MOM using a model-driven approach based on the ANSI/ISA-95 series of standards.
The second section is a discussion about the advantages of applying an operations model approach to manufacturing operations. The section describes the operations advantages of running with an integrated electronic records system instead of a paper-based system. These advantages are further demonstrated with an example of an "As Is" environment composed of systems operating as silos and exchanging information via paper-based records. Then, a "To Be" example demonstrates how the number of systems can be reduced to the three types of operations software with orchestrated electronic interfaces. Finally, the paper concludes with the importance of using standards-based models to design information exchanges between these systems.
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 is also be published in the methodology best practices collection, The MOM Chronicles: ISA-95 Best Practices Book 3.0 (Published by ISA, February 2013)
This white paper is available at: https://services.mesa.org/ResourceLibrary/ShowResource/da8345c7-2d06-41dd-b027-bc7f5a7e5edc
All of MESA's white papers are available at www.mesa.org for MESA premium members, who have complimentary access to over 800 white papers, presentations, MOM/MES guidebooks, industry studies and web casts.
Donald A. Fraser, Jacobs
Charlie Gifford, 21st Century Manufacturing Solutions LLC
Patrick J. Weber MBA, PMP (LogiSync)
About MESA International
MESA International (Manufacturing Enterprise Solutions Association) is a global not-for-profit industry association dedicated to improving outcomes for businesses and their people through the use of manufacturing information. MESA is comprised of manufacturers, producers, solution providers, and industry thought leaders collaborating to formulate practical strategies to turn plant-floor data into valuable knowledge for enterprise success. We do this by:
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