The Experts below are selected from a list of 261 Experts worldwide ranked by ideXlab platform
N D Theodorakopoulos - One of the best experts on this subject based on the ideXlab platform.
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a web based erp system for business services and supply chain management application to real world Process scheduling
European Journal of Operational Research, 2008Co-Authors: Christos D Tarantilis, C T Kiranoudis, N D TheodorakopoulosAbstract:Abstract A Web-based ERP system developed for attacking business problems and managing Real-World business Processes ranging from simple office automation procedures to complicated supply chain planning is presented. The system’s Web-aspect provides significant advantages, as the system is distributed through interoperable, cross-platform and highly pluggable Web-service components. The system involves a powerful workflow engine that manages the entire Process event flow within the enterprise increasing efficiency and control at the same time. Business Processes, when needed, are controlled by the enterprise quality management system and consequently the ISO directives are accurately followed. A Real-World Process scheduling system developed for the specific needs of Greek Construction Manufacturing Enterprises is illustrated as a detailed paradigm of the system’s capabilities. The problem was formulated to assign project tasks in form of lots to enterprise resources in order that resources idle time and delays in project preparation time were minimized. The problem was solved by a simple and effective heuristic algorithm.
Dennis Pegden - One of the best experts on this subject based on the ideXlab platform.
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WSC - The history of simulation modeling
2017 Winter Simulation Conference (WSC), 2017Co-Authors: Stephen D. Roberts, Dennis PegdenAbstract:During the past half-century simulation has advanced as a tool of choice for operational systems analysis. The advances in technology have stimulated new products and new environments without software standards or methodological commonality. Each new simulation language or product offers its own unique set of features and capabilities. Yet these simulation products are the evolution of research, development, and application. In this paper we interpret the historical development of simulation modeling. In our view simulation modeling is that part of the simulation problem-solving Process that focuses on the development of the model. It is the interpretation of a real production (or service) problem in terms of a simulation language capable of performing a simulation of that Real-World Process. While "interpretation" is in the "eyes of the beholder" (namely us) there are some historical viewpoints and methods that influence the design of the simulation model.
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The history of simulation modeling
2017 Winter Simulation Conference (WSC), 2017Co-Authors: Stephen D. Roberts, Dennis PegdenAbstract:During the past half-century simulation has advanced as a tool of choice for operational systems analysis. The advances in technology have stimulated new products and new environments without software standards or methodological commonality. Each new simulation language or product offers its own unique set of features and capabilities. Yet these simulation products are the evolution of research, development, and application. In this paper we interpret the historical development of simulation modeling. In our view simulation modeling is that part of the simulation problem-solving Process that focuses on the development of the model. It is the interpretation of a real production (or service) problem in terms of a simulation language capable of performing a simulation of that Real-World Process. While “interpretation” is in the “eyes of the beholder” (namely us) there are some historical viewpoints and methods that influence the design of the simulation model.
Christos D Tarantilis - One of the best experts on this subject based on the ideXlab platform.
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a web based erp system for business services and supply chain management application to real world Process scheduling
European Journal of Operational Research, 2008Co-Authors: Christos D Tarantilis, C T Kiranoudis, N D TheodorakopoulosAbstract:Abstract A Web-based ERP system developed for attacking business problems and managing Real-World business Processes ranging from simple office automation procedures to complicated supply chain planning is presented. The system’s Web-aspect provides significant advantages, as the system is distributed through interoperable, cross-platform and highly pluggable Web-service components. The system involves a powerful workflow engine that manages the entire Process event flow within the enterprise increasing efficiency and control at the same time. Business Processes, when needed, are controlled by the enterprise quality management system and consequently the ISO directives are accurately followed. A Real-World Process scheduling system developed for the specific needs of Greek Construction Manufacturing Enterprises is illustrated as a detailed paradigm of the system’s capabilities. The problem was formulated to assign project tasks in form of lots to enterprise resources in order that resources idle time and delays in project preparation time were minimized. The problem was solved by a simple and effective heuristic algorithm.
Stephen D. Roberts - One of the best experts on this subject based on the ideXlab platform.
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WSC - The history of simulation modeling
2017 Winter Simulation Conference (WSC), 2017Co-Authors: Stephen D. Roberts, Dennis PegdenAbstract:During the past half-century simulation has advanced as a tool of choice for operational systems analysis. The advances in technology have stimulated new products and new environments without software standards or methodological commonality. Each new simulation language or product offers its own unique set of features and capabilities. Yet these simulation products are the evolution of research, development, and application. In this paper we interpret the historical development of simulation modeling. In our view simulation modeling is that part of the simulation problem-solving Process that focuses on the development of the model. It is the interpretation of a real production (or service) problem in terms of a simulation language capable of performing a simulation of that Real-World Process. While "interpretation" is in the "eyes of the beholder" (namely us) there are some historical viewpoints and methods that influence the design of the simulation model.
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The history of simulation modeling
2017 Winter Simulation Conference (WSC), 2017Co-Authors: Stephen D. Roberts, Dennis PegdenAbstract:During the past half-century simulation has advanced as a tool of choice for operational systems analysis. The advances in technology have stimulated new products and new environments without software standards or methodological commonality. Each new simulation language or product offers its own unique set of features and capabilities. Yet these simulation products are the evolution of research, development, and application. In this paper we interpret the historical development of simulation modeling. In our view simulation modeling is that part of the simulation problem-solving Process that focuses on the development of the model. It is the interpretation of a real production (or service) problem in terms of a simulation language capable of performing a simulation of that Real-World Process. While “interpretation” is in the “eyes of the beholder” (namely us) there are some historical viewpoints and methods that influence the design of the simulation model.
S. Elnekave - One of the best experts on this subject based on the ideXlab platform.
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ICDM Workshops - A Spatio-temporal Simulation Model for Movement Data Generation
2008 IEEE International Conference on Data Mining Workshops, 2008Co-Authors: D. Alberg, S. ElnekaveAbstract:The Real-World Process of generating a large spatio-temporal data collection presents a very difficult technical problem. First, this Process is very expensive, requiring a lot of various high-technology software tools and modern hardware infrastructure (sensors, servers, GPS infrastructure etc.) installations; second, the recorded trajectories sometimes cannot represent any special traffic or movement patterns. The simulation framework introduced in this paper can generate diverse trajectory datasets based on predetermined movement patterns.
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A Spatio-temporal Simulation Model for Movement Data Generation
2008 IEEE International Conference on Data Mining Workshops, 2008Co-Authors: D. Alberg, M. Last, S. ElnekaveAbstract:The Real-World Process of generating a large spatio-temporal data collection presents a very difficult technical problem. First, this Process is very expensive, requiring a lot of various high-technology software tools and modern hardware infrastructure (sensors, servers, GPS infrastructure etc.) installations; second, the recorded trajectories sometimes cannot represent any special traffic or movement patterns. The simulation framework introduced in this paper can generate diverse trajectory datasets based on predetermined movement patterns.
