Download or read book Multi agent Based Integrated Process Planning and Production Scheduling in an Agile Manufacturing Environment written by Wan Tsin Goh and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multi Agent Based Production Planning and Control written by Jie Zhang and published by John Wiley & Sons. This book was released on 2017-05-09 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the crossroads of artificial intelligence, manufacturing engineering, operational research and industrial engineering and management, multi-agent based production planning and control is an intelligent and industrially crucial technology with increasing importance. This book provides a complete overview of multi-agent based methods for today’s competitive manufacturing environment, including the Job Shop Manufacturing and Re-entrant Manufacturing processes. In addition to the basic control and scheduling systems, the author also highlights advance research in numerical optimization methods and wireless sensor networks and their impact on intelligent production planning and control system operation. Enables students, researchers and engineers to understand the fundamentals and theories of multi-agent based production planning and control Written by an author with more than 20 years’ experience in studying and formulating a complete theoretical system in production planning technologies Fully illustrated throughout, the methods for production planning, scheduling and controlling are presented using experiments, numerical simulations and theoretical analysis Comprehensive and concise, Multi-Agent Based Production Planning and Control is aimed at the practicing engineer and graduate student in industrial engineering, operational research, and mechanical engineering. It is also a handy guide for advanced students in artificial intelligence and computer engineering.
Download or read book Multi Agent Based Beam Search for Real Time Production Scheduling and Control written by Shu Gang Kang and published by Springer Science & Business Media. This book was released on 2012-10-10 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Multi-Agent Based Beam Search (MABBS) method systematically integrates four major requirements of manufacturing production - representation capability, solution quality, computation efficiency, and implementation difficulty - within a unified framework to deal with the many challenges of complex real-world production planning and scheduling problems. Multi-agent Based Beam Search for Real-time Production Scheduling and Control introduces this method, together with its software implementation and industrial applications. This book connects academic research with industrial practice, and develops a practical solution to production planning and scheduling problems. To simplify implementation, a reusable software platform is developed to build the MABBS method into a generic computation engine. This engine is integrated with a script language, called the Embedded Extensible Application Script Language (EXASL), to provide a flexible and straightforward approach to representing complex real-world problems. Adopting an in-depth yet engaging and clear approach, and avoiding confusing or complicated mathematics and formulas, this book presents simple heuristics and a user-friendly software platform for system modelling. The supporting industrial case studies provide key information for students, lecturers, and industry practitioners alike. Multi-agent Based Beam Search for Real-time Production Scheduling and Control offers insights into the complex nature of and a practical total solution to production planning and scheduling, and inspires further research and practice in this promising research area.
Download or read book Optimising integrated process planning and production scheduling by using a multi agent system written by Ming Kim Lim and published by . This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Integrated Process planning production scheduling Shell for Agile Manufacturing written by Norman M. Sadeh and published by . This book was released on 1996 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Increased reliance on agile manufacturing techniques has created a demand for systems to solve integrated process-planning and production-scheduling problems in large-scale dynamic environments. To be effective, these systems should provide user-oriented interactive functionality for managing the various user tasks and objectives and reacting to unexpected events. This paper describes the mixed-initiative problem-solving features of IP3S, an Integrated Process-Planning / Production-Scheduling shell for agile manufacturing. IP3S is a blackboard- based system that supports the concurrent development and dynamic revision of integrated process-planning and production-scheduling solutions and the maintenance of multiple problem instances and solutions, as well as other flexible user-oriented decision-making capabilities, allowing the user to control the scope of the problem and explore alternate tradeoffs ('what- if' scenarios) interactively. The system is scheduled for initial deployment and evaluation in a large and highly dynamic machine shop at Raytheon's Andover manufacturing facility."
Download or read book Process Planning and Scheduling for Distributed Manufacturing written by Lihui Wang and published by Springer Science & Business Media. This book was released on 2007-05-14 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to focus on emerging technologies for distributed intelligent decision-making in process planning and dynamic scheduling. It has two sections: a review of several key areas of research, and an in-depth treatment of particular techniques. Each chapter addresses a specific problem domain and offers practical solutions to solve it. The book provides a better understanding of the present state and future trends of research in this area.
Download or read book Agent Based Manufacturing and Control Systems written by Massimo Paolucci and published by CRC Press. This book was released on 2004-10-28 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional manufacturing systems rely upon centralized, hierarchical systems that are not responsive enough to the increasing demand for mass customization. Decentralized, or heterarchical, management systems using autonomous agents promise to nullify the limitations of previous solutions. Agent-Based Manufacturing and Control Systems: New
Download or read book Multi Agent Based Beam Search for Intelligent Production Planning and Scheduling written by Shugang Kang and published by Open Dissertation Press. This book was released on 2017-01-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "Multi-agent Based Beam Search for Intelligent Production Planning and Scheduling" by Shugang, Kang, 康書剛, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled Multi-agent based beam search for intelligent production planning and scheduling submitted by KANG SHUGANG for the degree of Doctor of Philosophy at the University of Hong Kong in September 2007 To survive fierce global competition, manufacturing enterprises need to improve their responsiveness to market changes and the productivity of their manufacturing systems. Production planning and scheduling requirements have become more demanding than ever before. Due to the complexities of scheduling problems, the impact of scheduling research on real-world applications is limited, and much research work is needed to develop effective methods and tools that can be directly applied to the planning and scheduling functions of modern manufacturing systems. This study attempts to address this issue by incorporating the philosophies and techniques of multiple approaches into a unified framework for development of a powerful hybrid method, an open software platform, and subsequently an integrated system for production planning, scheduling, and execution. Hence, an effective total solution is developed for real-world applications. In the theoretical aspect, a Multi-Agent Based Beam Search (MABBS) method is developed by integrating AI (Multi-Agent System, Expert System) and OR (Beam Search) methods. Although the multi-agent system (MAS) is a promising technique for modeling complex dynamic systems, the solution quality of MAS-based method is usually questionable. The MABBS method can take advantage of the representation power of MAS, and enhances MAS with beam search method for improving solution quality. As such, it provides a powerful hybrid method to solve complex real-world problems. To simplify the use of the MABBS method, computer languages and an open software platform are developed. The Knowledge Markup Language (KML) is an XML based markup language to model intelligent agents; the Information Markup Language (IML) is an XML based markup language for rapid construction of graphical user interfaces (GUI) for user interaction; and the Embedded eXtensible Application Script Language (EXASL) is embedded into KML and IML to provide a simple and versatile programming language for both knowledge representation and user interaction. It also provides a flexible tool for configuration of complex systems. The software platform includes an inference engine, a smart client and a toolkit. The inference engine is responsible for the MABBS-based computation. It can exploit the parallel computation power of network-connected computers to reduce computation time. The smart client renders graphical user interfaces (GUI) with IML, which provides rich functionalities and enables remote access over the Internet. The toolkit provides an integrated development environment for both back-end knowledge representation and front-end GUI development. The languages and the software platform provide a reusable and flexible approach for the rapid construction of customized production planning and scheduling systems. To apply the MABBS method, the languages and the software platform to practical production planning and scheduling problems, an Integrated Production Planning, Scheduling, and Executing System (IPPSES) is developed. In this system, a multi-agent system is designed and the MABBS method is used for complex production planning and scheduling. A workflow-based execution system is developed
Download or read book Intelligent Systems for Automated Learning and Adaptation Emerging Trends and Applications written by Chiong, Raymond and published by IGI Global. This book was released on 2009-09-30 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This volume offers intriguing applications, reviews and additions to the methodology of intelligent computing, presenting the emerging trends of state-of-the-art intelligent systems and their practical applications"--Provided by publisher.
Download or read book Development of an Integrated Process Planning production Scheduling Shell for Agile Manufacturing written by and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "As companies increase the level of customization in their products, move towards smaller lot production and experiment with more flexible customer/supplier arrangements such as those made possible by Electronic Data Interchange (EDI), they increasingly require the ability to (1) quickly, accurately and competitively respond to customer requests for bids on new products and (2) rapidly and effectively work out supplier/subcontractor arrangements for these new products. This in turn requires the ability to (1) rapidly convert standard-based product specifications into process plans and machine operations and (2) quickly integrate process plans for new orders into the existing production schedule to best accommodate the current load of the facility, the status and allocation of machines, fixtures and tools, and the availability of raw materials. This paper summarizes initial work towards the development of an Integrated Process Planning/Production Scheduling (IP3S) Shell for Agile Manufacturing. The IP3S Shell is designed around an innovative blackboard architecture that emphasizes (1)concurrent development and dynamic revision of integrated process planning/production scheduling solutions, (2) the use of a common representation for exchanging process planning and production scheduling information, (3) coordination with outside information sources such as customer and supplier sites, and (4) mixed initiative decision support, enabling the user to interactively explore a number of tradeoffs. The system is scheduled for initial demonstration in a large and highly dynamic machine shop at Raytheon's Andover manufacturing facility."
Download or read book An Enhanced Ant Colony Optimization Approach for Integrating Process Planning and Scheduling Based on Multi Agent System written by Sicheng Zhang and published by Open Dissertation Press. This book was released on 2017-01-26 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "An Enhanced Ant Colony Optimization Approach for Integrating Process Planning and Scheduling Based on Multi-agent System" by Sicheng, Zhang, 张思成, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Process planning and scheduling are two important manufacturing planning functions which are traditionally performed separately and sequentially. Usually, the process plan has to be prepared first before scheduling can be performed. However, due to the complexity of manufacturing systems and the uncertainties and dynamical changes encountered in practical production, process plans and schedules may easily become inefficient or even infeasible. The concept of integrated process planning and scheduling (IPPS) has been proposed to improve the efficiency, effectiveness as well as flexibility of the respective process plan and schedule. By combining both functions together, the process plan for producing a part could be dynamically arranged in accordance with the availability of manufacturing resources and current status of the system, and its operations' schedule could be determined concurrently. Therefore, IPPS could provide an essential solution to the dynamic process planning and scheduling problem in the practical manufacturing environment. Nevertheless, process planning and scheduling are both complex functions that depend on many factors and flexibilities in the manufacturing system, IPPS is therefore a highly complex NP-hard problem. Ant colony optimization (ACO) is a widely applied meta-heuristics, which has been proved capable of generating feasible solutions for IPPS problem in previous research. However, due to the nature of the ACO algorithm, the performance is not that favourable compared with other heuristics. This thesis presents an enhanced ACO approach for IPPS. The weaknesses and limitations of standard ACO algorithm are identified and corresponding modifications are proposed to deal with the drawbacks and improve the performance of the algorithm. The mechanism is implemented on a specifically designed multi-agent system (MAS) framework in which ants are assigned as software agents to generate solutions. First of all, the manufacturing processes of the parts are graphically formulated as a disjunctive AND/OR graph. In applying the ACO algorithm, ants are deployed to find a path on the disjunctive graph. Such an ant route indicates a corresponding solution with associated operations scheduled by the sequence of ant visit. The ACO in this thesis is enhanced with the novel node selection heuristic and pheromone update strategy. With the node selection heuristic, pheromone is deposited on the nodes as well as edges on the ant path. This is contrast to the conventional ACO algorithm that pheromone is only deposited on edges. In addition, a more reasonable strategy based on "earliest completion time" of operations are used to determine the heuristic desirability of ants, instead of the "greedy" strategy used in standard ACO, which is based on the "shortest processing time." The approach is evaluated by a comprehensive set of problems with a full set of flexibilities, while multiple performance measurements are considered, including makespan, mean flow time, average machine utilization and CPU time, among which makespan is the major criterion. The results are compared with other approaches and encouraging improvements on solution quality could be observed. DOI: 10.5353/th_b4961806 Subjects: Production planning - Mathematical models Production scheduling - Mathematical models Multiagent sy
Download or read book An Agent Based Approach for Integrating Process Planning and Scheduling written by Chun-Wai David Leung and published by Open Dissertation Press. This book was released on 2017-01-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "An Agent-based Approach for Integrating Process Planning and Scheduling" by Chun-wai, David, Leung, 梁俊偉, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled An Agent-Based Approach for Integrating Process Planning and Scheduling Submitted by David Chun Wai Leung for the degree of Doctor of Philosophy at The University of Hong Kong August 2006 Conventionally, manufacturing process planning and scheduling functions are performed separately and sequentially. In general, process plans have to be determined prior to scheduling. Due to the complexity of manufacturing systems, process plans and schedules may easily become inefficient or even infeasible. In this respect, integrated process planning and scheduling (IPPS) plays an important role in the generation of feasible process plans and optimal schedules. With IPPS, the process plan for producing a part and its operations' schedule are determined concurrently, taking into account process planning flexibilities and scheduling requirements. This integrative approach can address the actual and practical needs of industry, but due to the flexibilities in the manufacturing systems IPPS is a very complex problem. This thesis presents an agent-based approach for integrating process planning with scheduling. Firstly, a simple multi-agent system (MAS) architecture using the Multi-Agent Negotiation (MAN) approach is proposed to solve IPPS problems. Under MAN, part agents (PAs) and machine agents (MAs), which represent parts and machines respectively, determine the actual process plan and schedule via a currency-based negotiation. Each PA is given with an AND/OR graph recording all flexible routings and alternative machines of a product. It enters the system with some fictitious currency incorporating important IPPS parameters including processing time and due date and bargains with MAs to purchase their processing capability. These agents aim to achieve their individual objectives so as to minimize the parts' flowtimes and to maximize machine utilization. A contract-net based negotiation protocol is introduced to coordinate their negotiation. A hybrid MAS architecture using Hybrid-based Agent Negotiation (HAN) approach is then proposed to improve the global objectives of IPPS. HAN is similar to MAN except that a supervisory agent (SA) is added. The primary role of the SA is to observe and guarantee the global objectives which are neglected in MAN. The SA can access and intervene in the local decisions made by the local agents. A hybrid contract net negotiation protocol is established to facilitate negotiations in HAN. Dynamic process planning and rescheduling problems have also been addressed. Online Multi-Agent Negotiation (oMAN) and Online Hybrid-based Agent Negotiation (oHAN) are established to solve the dynamic IPPS problems based on MAN and HAN respectively. Two types of disturbances (machine breakdowns and rush order arrivals) are investigated. A simulated manufacturing system is established to evaluate the effectiveness of MAN and HAN and oMAN and oHAN approaches. Simulation results show that the performance of these methods exceeds that of an evolutionary algorithm in general. On the other hand, in terms of achieving the global objectives, the hybrid approaches HAN and oHAN are the most effective, outperforming MAN and oMAN respectively. Finally, a search-based Ant Colony Optimization (ACO) algorithm is proposed and is incorporated into the established MAS platform. Artificial ants are implemented as software agents. A graph-based solution method is pr
Download or read book Index to Theses with Abstracts Accepted for Higher Degrees by the Universities of Great Britain and Ireland and the Council for National Academic Awards written by and published by . This book was released on 2005 with total page 998 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theses on any subject submitted by the academic libraries in the UK and Ireland.
Download or read book Solving Large Scale Production Scheduling and Planning in the Process Industries written by Georgios M. Kopanos and published by Springer. This book was released on 2018-10-01 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a number of efficient techniques for solving large-scale production scheduling and planning problems in process industries. The main content is supplemented by a wealth of illustrations, while case studies on large-scale industrial applications, ranging from continuous to semicontinuous and batch processes, round out the coverage. The book examines a variety of complex, real-world problems, and demonstrates solutions that are applicable to scenarios and countries around the world. Specifically, these case studies include: • the production planning of the bottling stage of a major brewery at the Cervecería Cuauhtémoc Moctezuma (Heineken Int) in Mexico;• the production scheduling for multi-stage semicontinuous processes at an ice-cream production facility of Unilever in the Netherlands;• the resource-constrained production planning for the yogurt production line at the KRI KRI dairy production facility in Greece; and• the production scheduling for large-scale, multi-stage batch processes at a pharmaceutical batch plant in Germany. In addition, the book includes industrial-inspired case studies of: • the simultaneous planning of production and logistics operations considering multi-site facilities for semicontinuous processes; and• the integrated planning of production and utility systems in process industries under uncertainty. Solving Large-scale Production Scheduling and Planning in the Process Industries offers a valuable reference guide for researchers and decision-makers alike, as it shows readers how to evaluate and improve existing installations, and how to design new ones. It is also well suited as a textbook for advanced courses on production scheduling and planning in industry, as it addresses the optimization of production and logistics operations in real-world process industries.
Download or read book Rough Sets and Knowledge Technology written by Peng Wen and published by Springer Science & Business Media. This book was released on 2009-06-24 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Fourth International Conference on Rough Sets and Knowledge Technology, RSKT 2009, held in Gold Coast, Australia, in July 2009. The 85 revised full papers papers presented together with 3 keynote papers and 2 special sessions were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on rough sets and computing, rough sets and data reduction, data mining and knowledge discovery, granular computing and cognitive computing, fuzzy sets and computing, knowledge technology and intelligent systems, computational intelligence and applications, image processing and understanding, and formal concept analysis.
Download or read book Integrating Advanced Computer Aided Design Manufacturing and Numerical Control Principles and Implementations written by Xu, Xun and published by IGI Global. This book was released on 2009-01-31 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents basic principles of geometric modelling while featuring contemporary industrial case studies"--Provided by publisher.
Download or read book Integration of Process Planning and Scheduling written by Rakesh Kumar Phanden and published by CRC Press. This book was released on 2019-10-16 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Both process planning and scheduling are very important functions of manufacturing, which affect together the cost to manufacture a product and the time to deliver it. This book contains various approaches proposed by researchers to integrate the process planning and scheduling functions of manufacturing under varying configurations of shops. It is useful for both beginners and advanced researchers to understand and formulate the Integration Process Planning and Scheduling (IPPS) problem effectively. Features Covers the basics of both process planning and scheduling Presents nonlinear approaches, closed-loop approaches, as well as distributed approaches Discuss the outfit of IPPS in Industry 4.0 paradigm Includes the benchmarking problems on IPPS Contains nature-algorithms and metaheuristics for performance measurements in IPPS Presents analysis of energy-efficient objective for sustainable manufacturing in IPPS
