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This document discusses several key challenges facing manufacturing companies: project-based manufacturing, lifecycle costing, integration across business functions, gaining manufacturing intelligence, and reducing time-to-market. It provides an overview of the different types of systems companies use like ERP, SCM, PLM and how data flows from operational technologies in real-time to data warehouses and analytics over different timeframes. The document ends by thanking the reader.
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13 ad keynote final compressed images
- 1. Louis Columbus Senior Manager,Enterprise
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- 7. Challenge of Integration Customer Relationship Management(CRM) Supply Chain Management (SCM) Enterprise Resource Planning (ERP) Business Intelligence and Enterprise Performance Management Functional Plant Applications (for example, MES, CMMS, QMS, EHS, LIMS, etc.) Manufacturing Visibility Plant Operations Conditions, Locations, Events, State, Constraints, Costs, Exceptions, Actions Enterprise Asset Management (EAM) SCADA, Control Systems, Sensors, DCS, and OT Product Life Cycle Management (PLM) Source: Gartner
- 8. Challenge of Mfg. Intelligence CONTINUUMOF ROLES SERVED Business Leadership Enterprise Data Warehouses (PLM/ERP/SCM/BI) Manufacturing Data Warehouse (Historian or DB associated with MES, EHS, etc.) Manufacturing Management Site Leadership Functional/ Task Workers DB DB Data Historians Operational Data Stores (MES, CMMS, etc.) DB Operators, Engineers, Technicians Operational Technologies (OT) REAL-TIME (seconds, minutes) TRANSACTIONAL (minutes, hours, shifts) TIME FRAME FOR DECISION SUPPORT STAGED DATA (shifts, days, weeks, months) Source: Gartner
- 10. Challenge of Time-to-Market Imagesource: http://www.boeing.com/companyoffices/gallery/images/military/fa18ef/e35-13-106.html
- 11. Flight Plan for2013
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Editor's Notes
- #7 Over 80% of Product Lifecycle Costs Are Locked In During DesignSource: DARPA Rapid Design Exploration and Optimization ProjectFlexibility, agility and reliabilityAn integrated view across all operationsResource and cost optimizationIncreasing information volumes and variety of support rolesBottom line: Real-time performance management requires asset, manufacturing and supply chain intelligence, and manufacturers can't afford to silo manufacturing process performance data from their asset data and supply chain execution data.If the name of the game is quicker — and cheaper — to market, the expectations of manufacturing are for flexibility, agility and resiliency.Companies must balance right first-time production across increasingly complex and regulated product supply networks and value chains. They must deal with new technology paradigms and identify supporting talent models to deal with the explosion of information and product flows which, if not harnessed, represent massive opportunities for misaligned goals (metrics, measures), higher-cost inventory Successful new product introductions generate 70% of a given A&D products’ revenue, yet must integrate from several hundred to over a thousand systems to achieve this on a consistent basis.
- #8 Manufacturing companies are managing a convergence between IT and operations functions in manufacturing plants.Manufacturing operations systems can no longer work in silos. Manufacturing operations systems need to be connected to the enterprise systems, such as ERP to allow for data flow between such systems so the ERP has a near-real-time view of production, inventories, etc., to support the connected supply chain. Also, production execution systems need to be connected to maintenance systems so that when a piece of equipment needs to be fixed, the proper workflow can be started promptly.Establish and Maintain Manufacturing Visibility Into New Product Introduction Plans Across the Enterprise
- #9 Adding business context to manufacturing data isn't a trivial exercise. It isn't really the natural domain of BI vendors that can't typically connect to real-time manufacturing data sources, can't deal with real-time event management and can't provide the metrics in real time or provide the analytic tools for complex manufacturing processes. EMI, in total, is an architecture that must be constructed from the models that represent multiple application domains.Define An Analytics & Intelligence Strategy To Measure Demand and Increase Forecast Accuracy