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Author: Azrul Azwan Abdul Rahman Publisher: Fraunhofer Verlag ISBN: 9783839606223 Category : Languages : en Pages : 168
Book Description
In a rapidly changing environment, good coordination of production and logistics at an operational level is required to handle rapidly evolving technology, frequently changing customer demand and satisfaction, and remain competitive. The job shop scheduling and the material flow control are two important factors influencing productivity and cost-controlling activities in any manufacturing system. Finding optimal solutions, however, requires an enormous computational effort, which becomes critical for large problems, particularly in situations where frequent changes in the environment occur. The material flow control system has to ensure the schedule is met. But the planned production schedules often become ineffective when being executed on the shop floor. Given the high degree of automation in material flow systems, automated control systems have to support frequent changes. Although these two problems are strongly connected and solving one significantly impacts the performance of the other, often these problems are solved independently. The complexity of the scheduling problem is increased when the material flow control is involved since not only a proper schedule must be created but an appropriate material flow needs to be provided. Due to this challenge, this dissertation has been designed to bridge the gap by initiating an approach for integrating predictive-reactive job shop scheduling with Programmable Logics Controlled (PLC) material flow. The objective is to develop an integrated control system that supports changes of routing strategy and schedule due to unexpected events. Features offered by state of the art material flow simulation software such as Open Platform Communications (OPC) interfaces and genetic algorithms have given the opportunity to realise this approach. The integrated control system consists of a system model, a control model and a schedule generator. Through combinations of these system components, the OPC connection with the physical system enables the integrated control system to be used for generating schedules, analysing the physical system through simulation and controlling the material flow system. As verification and validation, a demonstration prototype of integrated control system has been developed and applied in an industrial environment. The exemplary implementations prove not only that the planning and operation of material flow system is systematic, but significantly rescheduling and reconfiguration of the integrated control system can be performed with minimal effort.
Author: Azrul Azwan Abdul Rahman Publisher: Fraunhofer Verlag ISBN: 9783839606223 Category : Languages : en Pages : 168
Book Description
In a rapidly changing environment, good coordination of production and logistics at an operational level is required to handle rapidly evolving technology, frequently changing customer demand and satisfaction, and remain competitive. The job shop scheduling and the material flow control are two important factors influencing productivity and cost-controlling activities in any manufacturing system. Finding optimal solutions, however, requires an enormous computational effort, which becomes critical for large problems, particularly in situations where frequent changes in the environment occur. The material flow control system has to ensure the schedule is met. But the planned production schedules often become ineffective when being executed on the shop floor. Given the high degree of automation in material flow systems, automated control systems have to support frequent changes. Although these two problems are strongly connected and solving one significantly impacts the performance of the other, often these problems are solved independently. The complexity of the scheduling problem is increased when the material flow control is involved since not only a proper schedule must be created but an appropriate material flow needs to be provided. Due to this challenge, this dissertation has been designed to bridge the gap by initiating an approach for integrating predictive-reactive job shop scheduling with Programmable Logics Controlled (PLC) material flow. The objective is to develop an integrated control system that supports changes of routing strategy and schedule due to unexpected events. Features offered by state of the art material flow simulation software such as Open Platform Communications (OPC) interfaces and genetic algorithms have given the opportunity to realise this approach. The integrated control system consists of a system model, a control model and a schedule generator. Through combinations of these system components, the OPC connection with the physical system enables the integrated control system to be used for generating schedules, analysing the physical system through simulation and controlling the material flow system. As verification and validation, a demonstration prototype of integrated control system has been developed and applied in an industrial environment. The exemplary implementations prove not only that the planning and operation of material flow system is systematic, but significantly rescheduling and reconfiguration of the integrated control system can be performed with minimal effort.
Author: Anil Akdogan Publisher: BoD – Books on Demand ISBN: 1838802150 Category : Technology & Engineering Languages : en Pages : 214
Book Description
It is always hard to set manufacturing systems to produce large quantities of standardized parts. Controlling these mass production lines needs deep knowledge, hard experience, and the required related tools as well. The use of modern methods and techniques to produce a large quantity of products within productive manufacturing processes provides improvements in manufacturing costs and product quality. In order to serve these purposes, this book aims to reflect on the advanced manufacturing systems of different alloys in production with related components and automation technologies. Additionally, it focuses on mass production processes designed according to Industry 4.0 considering different kinds of quality and improvement works in mass production systems for high productive and sustainable manufacturing. This book may be interesting to researchers, industrial employees, or any other partners who work for better quality manufacturing at any stage of the mass production processes.
Author: Publisher: Centre for Advanced Research on Energy ISBN: 9670257921 Category : Languages : en Pages : 204
Book Description
The Innovative Research and Industrial Dialogue 2016 (IRID’16) organized by Advanced Manufacturing Centre (AMC) of the Faculty of Manufacturing Engineering of UTeM which is held in Main Campus, Universiti Teknikal Malaysia Melaka on 20 December 2016. The open access e-proceeding contains a compilation of 96 selected manuscripts from this Research event.
Author: Philipp Wenzelburger Publisher: ISBN: 9783832555320 Category : Languages : en Pages : 0
Book Description
How can modern techniques from systems and control theory contribute to the developments in Industry 4.0 and in particular to the production scheduling of flexible manufacturing systems? Motivated by this very general research question, we develop a novel scheduling framework, in which we integrate the modeling and scheduling of flexible manufacturing systems. It allows exploiting the flexibility of manufacturing systems for the production of customer specific goods in the scope of Industry 4.0. The basis of the proposed framework is a modular description of the manufacturing system in the form of a flexible job shop. Automatic model generation algorithms lead to a Petri net model of the system, which enables systems theoretic analysis and the application of model predictive control (MPC), a modern feedback control method. In the MPC formulation of the scheduling problem, the economic goal of the manufacturing system is pursued. By considering feedback from the system, the MPC is able to react to unexpected changes in the manufacturing system and to make optimal use of the flexibility to adjust the production process. The advantages of the framework are its applicability to a wide range of scheduling problems, its ability to model and to exploit the available flexibility for economically optimal operation, and its guarantee to solve the production problem in closed loop operation.
Author: Mekentichi Abdesselam Publisher: ISBN: Category : Languages : en Pages : 284
Book Description
As an archetype of the production systems, the flow-shops are featured by their highly dynamic behaviour caused by random disruptions such as machine breakdown, frequent arrivals of new order, tool breakdown, etc. In such cases, the companies need to react in an optimal way, thus the disruptions are discarded or managed and the economic criteria are maintained or even improved. In this context, reactive scheduling can justifiably be considered as a decision support tool that helps the operational managers to mitigate the adverse effects of disruptions occurring during the execution of initial schedule. Among these disruptions, the random arrival of new orders is the most frequently occurring phenomenon in the production shop floor. This random order arrival causes the non-optimality and/or infeasibility in schedule, which reduces resource utilization, increases work in progress (WIP) inventories and subsequently lowers the profit. Hence to aid the manufacturers, in this study a reactive flow-shop scheduling problem subject to the arrival of new order is addressed comprehensively, analysed critically and solved optimally. Though a number of researchers have already proposed the reactive scheduling models, most of them are complex and even difficult to execute within the acceptable time horizon. Therefore in this research, based on a widely adopted and renowned Wagner formulation, a Mixed Integer Non Linear reactive scheduling model is proposed. To ease the implementation, a predictive scheduling model is also developed together with the reactive one. The proposed models are implemented in flow shop of a local automotive industry and assessed by using four performance measures namely the makespan, mean idle time, mean waiting time and resource utilization. For both models the makespan is taken as the main objective function, while constraints such as capacity of the machines, completion time of the jobs and precedence relationships are formulated. The entire model is designed in a spreadsheet and solved by 'What's Best' optimizer. The output obtained by comparing with the current practices demonstrates that the proposed approach has supremacy in reducing the makespan by 26.92% through predictive and 24.07% through the reactive scheduling. Additionally, a considerable reduction in the waiting time (72.22 % and 30 %) is attained through the implementation of the proposed approaches. Meanwhile, the utilization of the resources is also enhanced by 36.84 % through predictive and 61.9 % through reactive schedule thus yielding better productivity of the shop floor. It is expected that the implementation of the proposed approach would help improve the decision making procedure in automotive as well as other manufacturing industries.
Author: Jie Zhang Publisher: John Wiley & Sons ISBN: 111889006X Category : Technology & Engineering Languages : en Pages : 420
Book Description
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.
Author: Jonathan Love Publisher: Springer Science & Business Media ISBN: 1846282829 Category : Technology & Engineering Languages : en Pages : 1064
Book Description
This book distils into a single coherent handbook all the essentials of process automation at a depth sufficient for most practical purposes. The handbook focuses on the knowledge needed to cope with the vast majority of process control and automation situations. In doing so, a number of sensible balances have been carefully struck between breadth and depth, theory and practice, classical and modern, technology and technique, information and understanding. A thorough grounding is provided for every topic. No other book covers the gap between the theory and practice of control systems so comprehensively and at a level suitable for practicing engineers.
Author: Theodor Borangiu Publisher: Springer ISBN: 3030274772 Category : Technology & Engineering Languages : en Pages : 444
Book Description
This proceedings book presents selected peer-reviewed papers from the 9th International Workshop on ‘Service Oriented, Holonic and Multi-agent Manufacturing Systems for the Industry of the Future’ organized by Universitat Politècnica de València, Spain, and held on October 3–4, 2019. The SOHOMA 2019 Workshop aimed to foster innovation in the digital transformation of manufacturing and logistics by promoting new concepts and methods and solutions through service orientation in holonic and agent-based control with distributed intelligence. The book provides insights into the theme of the SOHOMA’19 Workshop – ‘Smart anything everywhere – the vertical and horizontal manufacturing integration, ’ addressing ‘Industry of the Future’ (IoF), a term used to describe the 4th industrial revolution initiated by a new generation of adaptive, fully connected, analytical and highly efficient robotized manufacturing systems. This global IoF model describes a new stage of manufacturing, that is fully automatized and uses advanced information, communication and control technologies such as industrial IoT, cyber-physical production systems, cloud manufacturing, resource virtualization, product intelligence, and digital twin, edge and fog computing. It presents the IoF interconnection of distributed manufacturing entities using a ‘system-of-systems’ approach, discussing new types of highly interconnected and self-organizing production resources in the entire value chain; and new types of intelligent decision-making support based on from real-time production data collected from resources, products and machine learning processing. This book is intended for researchers and engineers working in the manufacturing value chain, and specialists developing computer-based control and robotics solutions for the ‘Industry of the Future’. It is also a valuable resource for master’s and Ph.D. students in engineering sciences programs.
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: Azrul Azwan Abdul Rahman
Author: Azrul Azwan Abdul Rahman
Author: Anil Akdogan
Author: 
Author: Philipp Wenzelburger
Author: Mekentichi Abdesselam
Author: Jie Zhang
Author: Jonathan Love
Author: Theodor Borangiu
Author: Alan Harrison
Author: Lihui Wang