Data exchange collaboration

Data exchange collaboration, where partners exchange information as required, principally to complete day-to-day transactions. Data exchange can have two forms one-way or two-way. 

Data Storage and Display. Very careful preplanning of eventual use of data and collaborative discussions with other groups can facilitate exchange of data in raw form. This topic will be discussed in detail later. Real-time displays could be changed rather easily to meet the specific needs of a given cruise or experiment by using menu-driven display routines. 

Many of these tools have been developed through successful collaborations between researchers and industry. Clio, one of the first and most sophisticated schema matching tools, was a research prototype developed through a collaboration at IBM s Almaden Research Center and the University of Toronto [Miller et al. 2001], Clio can automatically generate a view to reformulate queries from one schema to another or transform data from one representation to another to facilitate data exchange. 

MANDATE (Manufacturing Management Data Exchange), 1782 Mandatory collaboration, 605 Man-Machine Integrated Design and Analysis System (MIDAS), 2413, 2429-2440 aviation case studies, 2436-2440... 

Interplay collaboration 1. Development approval, that requires an informative data exchange Completion time... 

The case smdies explain typical approaches of PLM in different industries like automotive, aerospace, and consumer goods to support data exchange and collaboration scenarios at different levels. 

Different to a collaboration platform in which a central tool provides information to all partners and data exchange is supported by a synchronization framework, a neutral data model is a central aspect for asynchronous data exchange. In the automotive industry typically standards like STEP [23] or JT [24] are used for data exchange (see Sects. 21.6.2 and 21.7). It is the responsibility of all partners to provide and accept data in the defined neutral format. PLM integration platforms are typically used to support the data import and export scenarios. 

For the implementation of data exchange in a collaborative environment secure platforms are commercially offered today on the market. Those platforms implement methods and solutions for IP protection based on encryption and portal technologies. 

The results of these JT-based data exchange processes are very promising and further potentials in using JT instead of native 3D-CAD data in collaboration processes are identified e.g. in the fields of data preparation, handling and storage. To reach such a duo of complemented and ISO standardized data formats a lot of work has to be done [28]. 

A work has also been initiated for collecting reliability data for common cause failures (CCF). The work is planned to be a collaboration between France, Germany, Sweden and USA, where CCF data have systematically been collected for a long time. The working group is called ICDE (International Common Cause Failure Data Exchange). 

The key issnes of snpply chain as discussed in this chapter emphasizes a need for a total snpply chain management approach. With the expansion of outsonrcing and Internet driven e-supply chain, it is essential that key players and stakeholders nnderstand the importance of the accnracy and transparency of data for collaborative management for mutual benefits. Improved forecast accuracy and the real-time exchange of data not only reduces the bullwhip effect , but also reduces processing cost, inventory level and improves cnstomer service. We have also discnssed the trend towards the service-based economy and the... 

Knowledge database and intelligent agents assimilating sensor-measurement-information data, data exchange standards (XML, etc.) representation of uncertainties in databases, building and supporting physical property archives (NIST, Webbook, etc.) collaborative environments... 

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