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
CONTINUUM OF 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
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.
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
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
