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Hierarchical production planning provides a formal bridge between long-term plans and short-term schedules. A hybrid simulation-based production planning architecture consisting of system dynamics (SD) components at the higher decision level and discrete event simulation (DES) components at the lower decision level is presented. The need for the two types(More)
Each paper in this special issue deals with a particular aspect of supply chain management. Nevertheless, they all point to a common need for meaningful and timely information exchange across the supply chain. The Internet and the existing Web technologies have made the exchange of information essentially free and instantaneous. On the other hand,(More)
A scheme for the scheduling of Flexible Manufacturing Systems (FMS) has been developed which integrates neural networks, parallel Monte-Carlo simulation, genetic algorithms. and machine learning. Modular neural networks are used to generate a small set of atlractive plans and schedules from a larger list of such plans and schedules. Parallel Monte-Carlo(More)
Researchers at the National Institute of Standards and Technology have proposed the development of libraries of formal, neutral models of simulation components. The availability of such libraries would simplify the generation of simulation models, enable reuse of existing models construction of complicated models from simpler ones, and speed Internet-based(More)
Manufacturing enterprise decisions can be classified into four groups: business decisions, design decisions, engineering decisions, and production decisions. Numerous physical and software simulation techniques have been used to evaluate specific decisions by predicting their impact on either system performance or product performance. In this paper, we(More)
Content-level conformance testing is a key to achieving interoper-able data exchange among applications deployed across collaborating, yet independent enterprises. In this paper, we identify four types of content-level conformance tests to support interoperable data exchange: document-verification tests, information-mapping tests, transaction-behavior(More)
One of the most critical steps to integrating heterogeneous e-Business applications using different XML sche-mas is schema mapping, which is known to be costly and error-prone. Past schema-mapping researches have not fully utilized semantic information. In this paper, we propose a semantic similarity analysis approach to facilitate XML schema mapping,(More)
This paper investigates the potential of the Semantic Web technologies to support a semantic-based Enterprise Application Integration (EAI) standards architecture. We give detailed information of the support that these technologies and the underlying Description Logics (DL) formalism provide for the integration task. Our main aim is to assess the potential(More)
We describe a research project on resolving semantic differences for multi-agent systems (MAS) in electronic commerce. The approach can be characterized as follows: (1) agents in a MAS may have their own specific ontologies defined on top of a shared base ontology; (2) concepts in these ontologies are represented as frame-like structures based on DAML+OIL(More)
In this paper, we describe a business-to-business (B2B) testbed co-sponsored by the Open Applications Group, Inc. (OAGI) and the National Institute of Standard and Technology (NIST) to advance enterprise e-commerce standards. We describe the business and technical objectives and initial activities within the B2B Testbed. We summarize our initial lessons(More)