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Modern society's physical health depends vitally upon a number of real, interdependent, critical infrastructure networks that deliver power, petroleum, natural gas, water, and communications. Its economic health depends on a number of other infrastructure networks, some virtual and some real, that link residences, industries, commercial sectors, and(More)
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)
Scheduling has been defined as "the art of assigning resources to tasks in order to insure the termination of these tasks in a reasonable amount of time" (1). According to French (2), the general problem is to find a sequence, in which the jobs (e.g., a basic task) pass between the resources (e.g., machines), which is a feasible schedule, and optimal with(More)
The benefits of integrating and coordinating supply chain partners have been well recognized in many industries. In the construction industry, supply chain integration is technically challenging due to the high fragmentation of the industry. Information, applications, and services are loosely distributed among participants with a wide range of hardware and(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)
Large, industry-wide interoperability projects use syntax-based standards approaches to accomplish interoperable data exchange among enterprise applications. We are investigating Semantic Web to advance these approaches. In this paper, we describe an architecture for Semantic Enterprise Application Integration Standards as a basis for experimental(More)
In this paper, a structure and architecture for the rapid realization of a simulation-based real-time shop floor control system for a discrete part manufacturing system is presented. The research focuses on automatic simulation model and execution system generation from a production resource model. An Automatic Execution Model Generator (AEMG) has been(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)