A CUSTOMIZING PLATFORM FOR INDIVIDUAL PRODUCTION PLANNING AND CONTROL SOLUTIONS

In production planning and control, decision support has to face the special properties of production processes and systems. To find an optimal solution for decision problems in this domain is usually np-hard and a proper definition of objective functions and constraints is extremely difficult. One reason for the problem of proper model definition for classical optimization methods is the individual character of production systems. Thus, in many cases only individual solutions for PPC offer satisfying results. In this paper, we introduce a framework for efficient implementation of PPC tools in serial manufacturing

Workflow Management Systems and ERP Systems: Differences, Commonalities, and Applications

Two important classes of information systems, Workflow Management Systems(WfMSs) and Enterprise Resource Planning (ERP) systems, have been used to support e-business process redesign, integration, and management. While both technologies can help with business process automation, data transfer, and information sharing, the technological approach and features of solutions provided by WfMS and ERP are different. Currently, there is a lack of understanding of these two classes of information systems in the industry and academia, thus hindering their effective applications. In this paper, we present a comprehensive comparison between these two classes of systems. We discuss how the two types of systems can be used independently or together to develop intra- and inter-organizational application solutions. In particular, we also explore the roles of WfMS and ERP in the next generation of IT architecture based on web services. Our findings should help businesses make better decisions in the adoption of both WfMS and ERP in their e-business strategies

Towards structured sharing of raw and derived neuroimaging data across existing resources

Data sharing efforts increasingly contribute to the acceleration of scientific discovery. Neuroimaging data is accumulating in distributed domain-specific databases and there is currently no integrated access mechanism nor an accepted format for the critically important meta-data that is necessary for making use of the combined, available neuroimaging data. In this manuscript, we present work from the Derived Data Working Group, an open-access group sponsored by the Biomedical Informatics Research Network (BIRN) and the International Neuroimaging Coordinating Facility (INCF) focused on practical tools for distributed access to neuroimaging data. The working group develops models and tools facilitating the structured interchange of neuroimaging meta-data and is making progress towards a unified set of tools for such data and meta-data exchange. We report on the key components required for integrated access to raw and derived neuroimaging data as well as associated meta-data and provenance across neuroimaging resources. The components include (1) a structured terminology that provides semantic context to data, (2) a formal data model for neuroimaging with robust tracking of data provenance, (3) a web service-based application programming interface (API) that provides a consistent mechanism to access and query the data model, and (4) a provenance library that can be used for the extraction of provenance data by image analysts and imaging software developers. We believe that the framework and set of tools outlined in this manuscript have great potential for solving many of the issues the neuroimaging community faces when sharing raw and derived neuroimaging data across the various existing database systems for the purpose of accelerating scientific discovery

A Framework of Implementation of Collaborative Product Service in Virtual Enterprise

To satisfy new market requirements, manufacturing industry has shifted from mass production that takes advantage of the scale of production, to quality management that optimizes the internal enterprise functions, to e-manufacturing era that leverage intellectual capital via collaborative innovation. In the same time, the product itself is becoming the most important asset for sustainable business success. Consequently, the effectiveness, efficiency and innovation for the development of the product across the whole product lifecycle are becoming key business factors for manufacturing enterprise to obtain competitive advantages for survival. To tackle such challenges, a new business model called collaborative product services in virtual enterprise is proposed in this paper. The architecture of this new model is developed based on the framework and the application of web service and process management for collaboration product service in virtual enterprise. Indeed, it is hoped that this architecture will lay the foundation for further research and development of effective product lifecycle management in virtually collaborative enterprise environment.Singapore-MIT Alliance (SMA

Interoperability framework for supporting information-based assistance in the factory

The aim of this paper is to propose new interoperability solution, based on Info-Engine framework and web services technology to support data exchange and extraction from PLM system, specially the Windchill tool. This solution will be implemented as a connector module of more generic framework, named Digital Factory Assistant (DFA). The DFA framework aims to provide factory workers by a set of knowledge and information based decision support to improve their activity performance

TRACKING AND TRACING PORTAL FOR PROJECT LOGISTICS. A Review on the Interconnectivity of EDI, ERP and Cloud-based Systems

Tracking and tracing is becoming an essential factor for the success of project logistics. The safety and on-time arrival of shipments has become the primary concerns for manufacturing companies. The paper has introduced an overall approach to track and trace their deliveries from the starting point to the end-customer. Detail implementation of the whole solution will not be presented, yet each component in the system will be analyzed and discussed. Electronic Data Exchange (EDI) has been around for the last 30 years and is known for providing logistics companies a fast, reliable way to exchange information electronically. EDI, together with Enterprise Resource Planning (ERP), are considered as one of the remarkable emerging technologies which play an important role in supply chain management tracking network. Although the implementation of EDI and ERP systems is not straight forward and not easy to established, many logistics companies are still seeing this as a vital factor which can help companies to establish a sustainable development, increase productivity and reduce costs. In this paper, the interconnectivity of EDI, ERP, and cloud-based systems in tracking and tracing portal will be analyzed in business perspective in order to define what benefits it could achieve for logistics and supply chain management tracking network. A case study of Logistics Tracking Network (LogTrack) project is presented and examined with the view to implement, evaluate and manage the interconnectivity of EDI, ERP, and cloud-based systems in a practical point of view. Information collected from this research project will be analyzed to provide a list of mapping attributes between these systems and used as a basic for the further development of tracking and tracing portal. The impacts and implications of such system for managing the business logistics are discussed and presented in conclusion.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

Ontology-Based Approach for Application Integration

http://interop-esa05.unige.ch/INTEROP/Proceedings/Doctoral/PerPaper/II-1-Izza.pdfInternational audienceEnterprise Application Integration (EAI) is still facing the crucial semantic integration problem. This latter is not correctly addressed by today's EAI solutions that focus mainly on the technical and syntactical integration. Addressing the semantic integration level will promote EAI by providing it more consistency and robustness. Some efforts are suggested to solve the semantic integration problem, but they are still not mature. This paper deals with semantic problem in EAI and will present an ontology-based approach in order to overcome some issues of the integration problem