Integrated Process Planning, Scheduling, and Due-Date Assignment PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Integrated Process Planning, Scheduling, and Due-Date Assignment PDF full book. Access full book title Integrated Process Planning, Scheduling, and Due-Date Assignment by Halil Ibrahim Demir. Download full books in PDF and EPUB format.
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: 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: Rakesh Kumar Phanden Publisher: ISBN: 9780367030780 Category : Production scheduling Languages : en Pages : 256
Book Description
Both process planning and scheduling are very important functions of manufacturing, which affects 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-inspired 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: 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: 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: Sicheng Sulivan Zhang Publisher: Open Dissertation Press ISBN: 9781361013656 Category : Technology & Engineering Languages : en Pages : 252
Book Description
This dissertation, "Multi-objective integrated process planning and scheduling: a hybrid MAS/ACO approach" by Sicheng, Sulivan, 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 encountered in practical production, the sequentially prepared process plans and schedules may sometimes become inefficient or even infeasible. Integrated process planning and scheduling (IPPS) is a relatively new concept in manufacturing domain, which aims at improving the feasibility and optimality of the respective process plan and schedule, by combining both functions together. Scheduling itself is an NP-hard problem. With the complexity and flexibility involved by the incorporation of process planning function, IPPS is an even more difficult problem which is almost impossible to be solved by traditional optimisation methods. In this thesis, a graphical formulation based on disjunctive AND/OR graphs, as well as a mixed integer programming model are presented for representing IPPS problems. Inspired by the negotiation-based multi-agent system (MAS) and ant colony optimisation (ACO) approaches, a novel hybrid MAS/ACO (HMA) approach is developed for solving IPPS problems. The approach is implemented on an MAS with a number of solution generator agents, each controlling a series of jobs agents and machine agents, negotiating with each other to realise the step-by-step assignment of operations, and finally yielding a feasible solution to the problem. In order to improve the performance, the pheromone accumulation, and evaporation mechanism in ACO are introduced into the negotiation process; the probabilistic and iterative features of ACO are also inherited to make the approach non-deterministic, and hence capable of progressively improving the solution quality as a meta-heuristic. For multi-objective optimisation, correlations between different measures of scheduling problems have been experimentally and statistically studied; makespan and total tardiness are then chosen as the objectives to be simultaneously optimised. Furthermore, other extensions of IPPS including the incorporation of sequence dependent setup times, assembly operations, as well as dynamic rescheduling under disruptions, have also been studied and given solutions with the HMA approach. Experiments have been carried out to select an appropriate parameter set, and to evaluate and illustrate the applicability and effectiveness of the approach. The experimental results show that the HMA approach is a competitive and reliable method for solving IPPS problems. Subjects: Production scheduling - Mathematical models Production planning - Mathematical models
Author: Zekâi Şen Publisher: Springer Nature ISBN: 9819960622 Category : Technology & Engineering Languages : en Pages : 824
Book Description
This book comprises the proceedings of the 12th International Symposium on Intelligent Manufacturing and Service Systems 2023. The contents of this volume focus on recent technological advances in the field of artificial intelligence in manufacturing & service systems including machine learning, autonomous control, bioinformatics, human-artificial intelligence interaction, digital twin, robotic systems, sybersecurity, etc. This volume will prove a valuable resource for those in academia and industry.
Author: Sze-Yuen Wan Publisher: Open Dissertation Press ISBN: 9781361306024 Category : Languages : en Pages :
Book Description
This dissertation, "Integrated Process Planning and Scheduling With Setup Time Consideration by Ant Colony Optimization" by Sze-yuen, Wan, 溫思源, 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: In recent years, lots of research effort was spent on the integration of process planning and job-shop scheduling. Various integrated process planning and scheduling (IPPS) models and solution approaches have been proposed. The previous and existing research approaches are able to demonstrate the feasibility of implementing IPPS. However, most of them assumed that setup time is negligible or only part of the processing time. For machined parts, the setup for each operation includes workpiece loading and unloading, tool change, etc. For setup that depends only on the operation to be processed (sequence-independent), it is applicable to adopt the assumption of not considering setup in IPPS. For setup that depends on both the operation to be processed and the immediately preceding operation (sequence-dependent), it is an oversimplification to adopt such assumption. In such cases, the setup time varies with the sequence of the operations. The process plans and schedules constructed under such assumption are not realistic or not even feasible. In actual practice, therefore, the setup time should be separated from the process time in performing the IPPS functions. In this thesis, a new approach is proposed for IPPS problems with setup time consideration for machined parts. Inseparable and sequence-dependent setup requirements are added into the IPPS problems. The setup times are separated from the process times and they vary with the sequence of the operations. IPPS is regarded as NP-hard problem. With the separated consideration of setup times, it becomes even more complicated. An Ant Colony Optimization (ACO) approach is proposed to handle this complicated problem. The system is constructed under a multi-agent system (MAS). AND/OR graph is used to record the set of feasible production procedures and sequences. The ACO algorithm computes results by an autocatalytic process with the objective to minimize the makespan. Software agents called "artificial ants" traverse through the feasible routes in the graph and finally construct a schedule. A setup time parameter is added into the algorithm to influence the ants to select the process with less setup time. The approach is able to construct a feasible solution with less setup time. Experimental studies have been performed to evaluate the performance of MAS-ACO approach in solving IPPS problems with separated consideration of setup times. The experimental results show that the MAS-ACO approach can effectively handle the problem. DOI: 10.5353/th_b4961807 Subjects: Production planning - Mathematical models Production scheduling - Mathematical models Ant algorithms
Author: Xinyu Li Publisher: Springer ISBN: 9783662553039 Category : Technology & Engineering Languages : en Pages : 0
Book Description
This book summarizes a series of research work on integrated process planning and scheduling (IPPS) done by the authors, focusing on discussing the properties, novel solution methods and applications of process planning, scheduling and IPPS problems under different machining environments. It is a valuable reference resource for teachers, students and researchers working in the fields of engineering, management science and other related disciplines.
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: Philip Husbands Publisher: ISBN: Category : Production planning Languages : en Pages :
Book Description
This thesis presents a new integrated approach to process planning aad job-shop scheduling. The relationship between planning and scheduling is reassessed and the line between the two tasks is made significantly more blurred than in the usual treatment. Scheduling is traditionally seen as the task of finding an optimal way of interleaving a number of fixed plans which are to be executed concurrently and which must share resources. The implicit assumption is that once planning has finished scheduling takes over. In fact there are often many possible choices for the sub-operations in the plans. Very often the real optimisation problem is to simultaaeously optimise all the individual plans alzd the overall schedule. This thesis describes how manufa.cturing planning has been recast to allow solutions to the simultaneous plan and schedule optimisation problem, a problem traditionally considered too hard to tackle at all. A model based on simulated coevolution is developed and it is shown how complex interactions are handled in an emergent way. Results from various implementations are reported. Underlying this new approach is a feature based process planning system that is used to generate the space of all possible legal process plans for a given component. This space is then searched, in parallel with spaces for all other components, using an advanced form of genetic algorithm. The thesis describes the development of the ideas behind this technique and presents in detail the constituent parts of the whole system.
Author: Halil Ibrahim Demir
Author: Halil Ibrahim Demir
Author: Rakesh Kumar Phanden
Author: Halil Ibrahim Demir
Author: Rakesh Kumar Phanden
Author: Sicheng Sulivan Zhang
Author: Zekâi Şen
Author: Sze-Yuen Wan
Author: Xinyu Li
Author: Lihui Wang
Author: Philip Husbands