An optimization-based approach is developed for routing a just-in-time (JIT) supply system, which requires for high-frequency, small quantity deliveries. The mathematical model called common frequency routing problem ...
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ISBN:
(纸本)9783642104299
An optimization-based approach is developed for routing a just-in-time (JIT) supply system, which requires for high-frequency, small quantity deliveries. The mathematical model called common frequency routing problem (CFR) is formulated. To solve the model, tabu search strategies have been developed. The utility of the approach is demonstrated through a computational experiment. The result shows that in the same demand conditions, the total transport distance is shorten, the total times of vehicle trips is reduced and side inventory decreases.
In this study, a new organization based system for forest fires prediction is presented. It is an Organization Based System for Forest Fires Forecasting (OBSFFF). The core of the system is based on the Case-Based Reas...
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ISBN:
(纸本)9783642123832
In this study, a new organization based system for forest fires prediction is presented. It is an Organization Based System for Forest Fires Forecasting (OBSFFF). The core of the system is based on the Case-Based Reasoning methodology, and it is able to generate a prediction about the evolution of the forest fires in certain areas. CBR uses historical data to create new solutions to current problems. The system employs a distributed multi-agent architecture so that the main components of the system can be remotely accessed. All the elements building the final system, communicate in a distributed way, from different type of interfaces and devices. OBSFFF has been applied to generate predictions in real forest fire situations, using historical data both to train the system and to check the results. Results have demonstrated that the system accurately predicts the evolution of the fires. It has been demonstrated that using a distributed architecture enhances the overall performance of the system.
Monitoring the runtime behaviour of a distributed agent system for debugging or demonstration purposes provides a challenge to agent system developers. As a lot of the components in such a system are possibly executed...
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ISBN:
(纸本)9783642123832
Monitoring the runtime behaviour of a distributed agent system for debugging or demonstration purposes provides a challenge to agent system developers. As a lot of the components in such a system are possibly executed on several different physical systems, maintaining an overview over the complete environment is extremely difficult. Methods taken from the development of monolithic software projects such as log files, debug outputs or step-by-step execution of a program do not easily translate to these scenarios due to the distributed nature of the system. In this paper we describe our concept for a graphical monitoring and management tool "ASGARD" (Advanced Structured Graphical Agent Realm Display), which provides an easy-to-use and intuitively understandable method for monitoring and demonstrating Multi Agent System Infrastructures. ASGARD provides a graphical representation of the connected systems using a 3D visualization. The very promising results from empirical evaluation show that an administrator's overview over such MAS at runtime is vastly improved.
This presents a study in which a high level abstract architecture was used to design open multi-agent systems and virtual organizations that offer services with temporal constraints implemented by Real-Time Agents. Th...
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ISBN:
(纸本)9783642124327
This presents a study in which a high level abstract architecture was used to design open multi-agent systems and virtual organizations that offer services with temporal constraints implemented by Real-Time Agents. The results will demonstrate how the proposed architecture, with features that make it suitable for development of open MAS (Multi-Agent Systems), allows us to add specific functionality and real time services.
Traditionally, tool wear monitoring systems are based on the signals of cutting force, cutting temperature, cutting power, acoustic emission, vibration, etc. Those signals are all sensitive to tool wear, but they can ...
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ISBN:
(数字)9783642104305
ISBN:
(纸本)9783642104299
Traditionally, tool wear monitoring systems are based on the signals of cutting force, cutting temperature, cutting power, acoustic emission, vibration, etc. Those signals are all sensitive to tool wear, but they can not give the exact amount of tool wear. The monitoring strategies are generally designed qualitatively rather than quantitatively. This study reports a quantitative strategy for tool wear monitoring based on a displacement sensor which can estimate the real-time tool tip receding. The relationship between tool wear and tool tip receding is modelled. A real time quantitative tool wear estimation strategy is suggested and verified with experiments.
Process planning is a bridge between product designing and product manufacturing, feature is the basic definition of components for design or manufacturing. This paper presents a rapid process planning system dependen...
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ISBN:
(数字)9783642104305
ISBN:
(纸本)9783642104299
Process planning is a bridge between product designing and product manufacturing, feature is the basic definition of components for design or manufacturing. This paper presents a rapid process planning system dependent on the parametric machine features of parts. Firstly, a new knowledge expression based on the Parametric Procedure Charts (PPC) is adopted to express the features, PPC is a visual direction chart that presents the contents and the structure of the knowledge simulating the human beings thinking, which combines predication logic, semantic network and flow chart technology. Then PPC template is pre-created for each part family. To plan the process of a new part, the system extracts machine features from 3D part model via 3D CAD system's APIs or general 3D model conversion interfaces, searches the proper PPC that feature belongs to according to the unique name, and evaluates parameters of the PPC based on the new feature's dimensions or technological information, then explains and reasons procedure by solving various constraints defined by chart units of PPC. Finally, sequences the features process by appropriate principles, and outputs the process plan sheets. A software system name Para-KMCAPP is developed on KMCAPP platform, which has been successfully applied in some equipment enterprises for rapid process panning for some part family.
The objective of this research is to develop methodology and algorithms for web-based digital manufacturing, supported by real-time monitoring for dynamic scheduling. This paper presents in particular an integrated ap...
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ISBN:
(数字)9783642104305
ISBN:
(纸本)9783642104299
The objective of this research is to develop methodology and algorithms for web-based digital manufacturing, supported by real-time monitoring for dynamic scheduling. This paper presents in particular an integrated approach for developing a web-based system, including distributed process planning, real-time monitoring and remote machining. It is enabled by a Wise-ShopFloor (Web-based integrated sensor-driven e-ShopFloor) framework targeting distributed yet collaborative manufacturing environments. Utilizing the latest Java technologies (Java 3D and Java Servlet) for system implementation, this approach allows users to plan and control distant shop floor operations based on runtime information from the shop floor. Details on the principle of the Wise-ShopFloor framework, system architecture, and a proof-of-concept prototype are reported in this paper. An example of distributed process planning for remote machining is chosen as a case study to demonstrate the effectiveness of this approach toward web-based digital manufacturing.
The objective of this paper is to develop a framework explaining the determinants of alignment of new product development (NPD) and supply chain management (SCM). A preliminary framework, established on the basis of e...
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ISBN:
(纸本)9783642104299
The objective of this paper is to develop a framework explaining the determinants of alignment of new product development (NPD) and supply chain management (SCM). A preliminary framework, established on the basis of existing literature, could not be supported by an exploratory case study, conducted with industry. Therefore, using the insights gained from theory and practice, we extend this framework and develop a more comprehensive one. Variety, modularity, and innovativeness are the product features that should be taken into account when studying alignment. From the supply chain viewpoint, configuration, collaboration, and coordination complexities are the variables that matter. The framework also shows how the variables are related to each other. Variety and innovativeness directly impact all the supply chain variables, but modularity only influences configuration and collaboration. The final framework is then applied to five case studies. There is evidence that innovativeness, a variable so far neglected when dealing with the alignment question, has a critical impact on supply chain management decisions.
Measurement system configuration or deployment is becoming an important issue in the technique field of large volume metrology. Almost all configuration works are task-specific and heavily rely on time-consuming and l...
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ISBN:
(数字)9783642104305
ISBN:
(纸本)9783642104299
Measurement system configuration or deployment is becoming an important issue in the technique field of large volume metrology. Almost all configuration works are task-specific and heavily rely on time-consuming and labor-intensive experiment on shop-floor. Furthermore, such configuration way is difficult to be carried out in the early stages (product and process design) of large complex product development because it is not based on the direct product model. Therefore, there is a strong need to establish optimal configuration model and to perform configuration simulation before the implementation of actual physical deployments or setups on shop-floor (online). This paper firstly presents a problem definition and a classification scheme for large-scale measurement system. Then a general framework and main procedures for measurement system configuration are proposed. The general framework is consisted of four tasks: (1) select instruments, (2) solve feasible space domain, (3) simulate measurement points, and (4) estimate and visualize uncertainty. The rough configuration performs the former two tasks to maximize the accessible volume, while the fine configuration conducts the latter two tasks to minimize the measurement uncertainty. Main algorithms involved with the procedures in the measurement system configuration are identified. A CAD-directed prototype for measurement system configuration has been developed to identify the suitable deployment solution for specific measurement task. An initial experiment study of a wing rib of airplane has demonstrated the effectiveness of the framework and methodologies.
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