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Author: Rakesh Kumar Phanden Publisher: CRC Press ISBN: 0429667442 Category : Technology & Engineering Languages : en Pages : 226
Book Description
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
Author: Rakesh Kumar Phanden Publisher: CRC Press ISBN: 0429667442 Category : Technology & Engineering Languages : en Pages : 226
Book Description
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
Author: Rakesh Kumar Phanden Publisher: CRC Press ISBN: 0429664729 Category : Technology & Engineering Languages : en Pages : 259
Book Description
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
Author: Halil Ibrahim Demir Publisher: CRC Press ISBN: 1000919714 Category : Technology & Engineering Languages : en Pages : 189
Book Description
Traditionally, the three most important manufacturing functions are process planning, scheduling, and due-date assignment, which are handled sequentially and separately.This book integrates these manufacturing processes and functions to increase global performance along with manufacturing and production cost savings. Integrated Process Planning, Scheduling, and Due-Date Assignment combines the most important manufacturing functions to use manufacturing resources better, reduce production costs, and eliminate bottlenecks with increased production efficiency. The book covers how the integration will help eliminate scheduling conflicts and how to adapt to irregular shop floor disturbances. It also explains how other elements, such as tardiness and earliness, are penalized and how prioritizing helps improve weight performance function. This book will draw the interest of professionals, students, and academicians in process planning, scheduling, and due-date assignment. It could also be supplemental material for manufacturing courses in industrial engineering and manufacturing engineering departments.
Author: Halil Ibrahim Demir Publisher: CRC Press ISBN: 1000919706 Category : Technology & Engineering Languages : en Pages : 153
Book Description
Traditionally, the three most important manufacturing functions are process planning, scheduling, and due-date assignment, which are handled sequentially and separately.This book integrates these manufacturing processes and functions to increase global performance along with manufacturing and production cost savings. Integrated Process Planning, Scheduling, and Due-Date Assignment combines the most important manufacturing functions to use manufacturing resources better, reduce production costs, and eliminate bottlenecks with increased production efficiency. The book covers how the integration will help eliminate scheduling conflicts and how to adapt to irregular shop floor disturbances. It also explains how other elements, such as tardiness and earliness, are penalized and how prioritizing helps improve weight performance function. This book will draw the interest of professionals, students, and academicians in process planning, scheduling, and due-date assignment. It could also be supplemental material for manufacturing courses in industrial engineering and manufacturing engineering departments.
Author: Lihui Wang Publisher: Springer Science & Business Media ISBN: 1846287529 Category : Technology & Engineering Languages : en Pages : 441
Book Description
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.
Author: Chun-Wai David Leung Publisher: Open Dissertation Press ISBN: 9781361476680 Category : Languages : en Pages :
Book Description
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
Author: Rakesh Kumar Phanden
Author: Rakesh Kumar Phanden
Author: Qingmei Chen
Author: Srinidhi Mallur
Author: Rakesh Kumar Phanden
Author: Manjunath G. Shivani
Author: Halil Ibrahim Demir
Author: Wei Tan
Author: Halil Ibrahim Demir
Author: Lihui Wang
Author: Chun-Wai David Leung