Post on 21-Dec-2015
Enterprise Mashups in Outsourced Manufacturing
Mashing your Shipments and Processes
Serus Corporation
Jeffrey RisbergVP of Research and Development
Prepared forEnterprise 2.0 Mashup SummitSeptember 28, 2007
Introduction
• “Outsourced Manufacturing” defined:– The use of contract manufacturers, semiconductor fabs,
assembly houses, and logistic organizations outside your business
• Significantly increased in last 10 years– By 2010, analysts estimate that $1 trillion of manufacturing will
be outsourced– Cisco, for instance, never touches its inventory– There are 238 fabless semiconductor firms in Silicon Valley alone
• As described in “The World is Flat” by Friedman, outsourced manufacturing has generated a new set of challenges and complexities
• Over 50% of the information needed for today’s manufacturing resides outside an individual company – It is with the company’s Partners, Customers, Vendors, and
in the Public Ecosystem
Ideal Case for Enterprise Mashups
The challenge is to deliver the Right Information, to the Right Place at the Right Time.
Required is a Knowledge Multiplier for Outsourced Manufacturing Operations
Operations Management - Challenges
“Global Outsourcing” has generated a unique set of operational challenges:– Lack of Visibility to Financial Exposure– Lack of Consistent Operational Data– Lack of Execution Management with Partners– Difficulty in Collaborative Decision Making with
Partners
Content Used in Outsourced Manufacturing
PrivateProduct Manufacturing SpecificationsCustomer InformationForecast and Order InformationActivity records
PublicTransportation linksWeather/GeographyCurrency InformationCompliance Information (RoHS)
EcosystemScores, Behavior, Prior Experience
Note:Starbucks locations are not
part of the data set!
Partial List of Vendors/Partnersalready supported by Mashup Server
Fab/Assembly Contract Mfg Distributors
Enterprise 2.0 Definitions and Implementation
• Collaboration: sharing of quantitative information• Options generation: system generated suggestions• Notifications: alerting• Tags and content: marking most relevant content, allowing
users to mark• Real-time data: dynamic fetching (JDBC, FTP, HTTP) • Open system: use of standards for data fetching (WS, XML)• Links: navigate through a cohesive data model• Scenarios: user-controlled “what-ifs”
Andrew McAfee: SLATES Serus: CONTROLS
Serus Implementation• Java-based web application, supported by multiple back-end
processes
Key Architecture Components
• SOA – Service Oriented Architecture– Serus application invokes and orchestrates services using remote protocols such as
Web Services, RMI, JMS
• EII – Enterprise Information Integration– Serus mashup server extracts, transforms and loads from multiple data sources– Serus mashup server resolves information conflicts between sources
• BPM – Business Process Management– Processes can be defined using workflow, and rule sets– Processes can carry out validation and be audited
• Scenario-based Analytics– Analytics such as KPIs– Analytics evaluated within what-if scenarios
From inception, the Serus Architecture has been built on the following four cornerstones:
Enterprise MashupExample: Order Resolution
Common locations table
Cisco Dock1Solectron Facility 1
Avnet Recv 1Spansion Dock 1
TSMC Ship 2Customer 1Customer 2
Geographic Information
Currency Information
Compliance Information
Weather Forecast: London – ptly cloudy, high 80, low 65
Weather Information
Multi-tenant data model
AMD Case Study
• $7.4 Billion Dollar Semiconductor Supplier
• Global Manufacturing; Captive and Outsourced
• Fragmented Manufacturing Specification
• Complex Bill of Materials and Supply Chain
• Manual Reconciliation between Mfg and Business
Systems
AMD/INCA System Data Flow
High Frequency Fault Tolerant B2B data transmission platform
Standardized WIP formats across all sources resulting in improved quality of data and reduces the number of transaction errors
Standardized Product and Manufacturing Specification format to target systems for efficient operations management
Direct B2B transaction based connections to many major suppliers.
AMD Case Study
Benefits Acknowledged:Reduced by 50% the time to close the quarter end financial recordsReduced variances in inventory valuations to less than 1%Provided the “System of Record” SOX compliant Inventory RecordsIntegrated Manufacturing specifications with execution system eliminated
costly manual errors and annual scrap costsEliminated $4M annual support cost managing disparate legacy systemsProvided support for new manufacturing complexities and business rules explosions
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