Download or read book Intelligent Quality Systems written by Duc T. Pham and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the tenn quality does not have a precise and universally accepted definition, its meaning is generally well understood: quality is what makes the difference between success and failure in a competitive world. Given the importance of quality, there is a need for effective quality systems to ensure that the highest quality is achieved within given constraints on human, material or financial resources. This book discusses Intelligent Quality Systems, that is quality systems employing techniques from the field of Artificial Intelligence (AI). The book focuses on two popular AI techniques, expert or knowledge-based systems and neural networks. Expert systems encapsulate human expertise for solving difficult problems. Neural networks have the ability to learn problem solving from examples. The aim of the book is to illustrate applications of these techniques to the design and operation of effective quality systems. The book comprises 8 chapters. Chapter 1 provides an introduction to quality control and a general discussion of possible AI-based quality systems. Chapter 2 gives technical information on the key AI techniques of expert systems and neural networks. The use of these techniques, singly and in a combined hybrid fonn, to realise intelligent Statistical Process Control (SPC) systems for quality improvement is the subject of Chapters 3-5. Chapter 6 covers experimental design and the Taguchi method which is an effective technique for designing quality into a product or process. The application of expert systems and neural networks to facilitate experimental design is described in this chapter.
Download or read book Reinforcement Learning for Job shop Scheduling written by Wei Zhang and published by . This book was released on 1996 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation studies applying reinforcement learning algorithms to discover good domain-specific heuristics automatically for job-shop scheduling. It focuses on the NASA space shuttle payload processing problem. The problem involves scheduling a set of tasks to satisfy a set of temporal and resource constraints while also seeking to minimize the total length (makespan) of the schedule. The approach described in the dissertation employs a repair-based scheduling problem space that starts with a critical-path schedule and incrementally repairs constraint violations with the goal of finding a short conflict-free schedule. The temporal difference (TD) learning algorithm TD([lambda]) is applied to train a neural network to learn a heuristic evaluation function for choosing repair actions over schedules. This learned evaluation function is used by a one-step lookahead search procedure to nd solutions to new scheduling problems. Several important issues that affect the success and the efficiency of learning have been identified and deeply studied. These issues include schedule representation, network architectures, and learning strategies. A number of modifications to the TD([lambda]) algorithm are developed to improve learning performance. Learning is investigated based on both hand-engineered features and raw features. For learning from raw features, a time-delay neural network architecture is developed to extract features from irregular-length schedules. The learning approach is evaluated on synthetic problems and on problems from a NASA space shuttle payload processing task. The evaluation function is learned on small problems and then applied to solve larger problems. Both learning-based schedulers (using hand-engineered features and raw features respectively) perform better than the best existing algorithm for this task--Zweben's iterative repair method. It is important to understand why TD learning works in this application. Several performance measures are employed to investigate learning behavior. We verified that TD learning works properly in capturing the evaluation function. It is concluded that TD learning along with a set of good features and a proper neural network is the key to this success. The success shows that reinforcement learning methods have the potential for quickly finding high-quality solutions to other combinatorial optimization problems.
Download or read book Robot Shaping written by Marco Dorigo and published by MIT Press. This book was released on 1998 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: foreword by Lashon Booker To program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction with its environment and then adapt its behavior, greatly simplifies the designer's work. A learning robot need not be given all of the details of its environment, and its sensors and actuators need not be finely tuned. Robot Shaping is about designing and building learning autonomous robots. The term "shaping" comes from experimental psychology, where it describes the incremental training of animals. The authors propose a new engineering discipline, "behavior engineering," to provide the methodologies and tools for creating autonomous robots. Their techniques are based on classifier systems, a reinforcement learning architecture originated by John Holland, to which they have added several new ideas, such as "mutespec," classifier system "energy,"and dynamic population size. In the book they present Behavior Analysis and Training (BAT) as an example of a behavior engineering methodology.
Download or read book Generic Multi Agent Reinforcement Learning Approach for Flexible Job Shop Scheduling written by Schirin Bär and published by Springer Nature. This book was released on 2022-10-01 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: The production control of flexible manufacturing systems is a relevant component that must go along with the requirements of being flexible in terms of new product variants, new machine skills and reaction to unforeseen events during runtime. This work focuses on developing a reactive job-shop scheduling system for flexible and re-configurable manufacturing systems. Reinforcement Learning approaches are therefore investigated for the concept of multiple agents that control products including transportation and resource allocation.
Download or read book Optimization and Learning written by Bernabé Dorronsoro and published by Springer Nature. This book was released on 2020-02-15 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the Third International Conference on Optimization and Learning, OLA 2020, held in Cádiz, Spain, in February 2020. The 23 full papers were carefully reviewed and selected from 55 submissions. The papers presented in the volume focus on the future challenges of optimization and learning methods, identifying and exploiting their synergies,and analyzing their applications in different fields, such as health, industry 4.0, games, logistics, etc.
Download or read book 2021 International Conference on Electrical Computer Communications and Mechatronics Engineering ICECCME written by IEEE Staff and published by . This book was released on 2021-10-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ICECCME 2021 will cover original research and new technologies in the fields of Electrical, Computer, Communications and Mechatronics Engineering
Download or read book Multi agent Reinforcement Learning Approaches for Distributed Job Shop Scheduling Problems written by Thomas Gabel and published by . This book was released on 2009 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Chemical Production Scheduling written by Christos T. Maravelias and published by Cambridge University Press. This book was released on 2021-05-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand common scheduling as well as other advanced operational problems with this valuable reference from a recognized leader in the field. Beginning with basic principles and an overview of linear and mixed-integer programming, this unified treatment introduces the fundamental ideas underpinning most modeling approaches, and will allow you to easily develop your own models. With more than 150 figures, the basic concepts and ideas behind the development of different approaches are clearly illustrated. Addresses a wide range of problems arising in diverse industrial sectors, from oil and gas to fine chemicals, and from commodity chemicals to food manufacturing. A perfect resource for engineering and computer science students, researchers working in the area, and industrial practitioners.
Download or read book Curriculum Learning in Job Shop Scheduling Using Reinforcement Learning written by Constantin Waubert de Puiseau and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Research on Applied AI for International Business and Marketing Applications written by Christiansen, Bryan and published by IGI Global. This book was released on 2020-09-25 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) describes machines/computers that mimic cognitive functions that humans associate with other human minds, such as learning and problem solving. As businesses have evolved to include more automation of processes, it has become more vital to understand AI and its various applications. Additionally, it is important for workers in the marketing industry to understand how to coincide with and utilize these techniques to enhance and make their work more efficient. The Handbook of Research on Applied AI for International Business and Marketing Applications is a critical scholarly publication that provides comprehensive research on artificial intelligence applications within the context of international business. Highlighting a wide range of topics such as diversification, risk management, and artificial intelligence, this book is ideal for marketers, business professionals, academicians, practitioners, researchers, and students.
Download or read book Job Shop Lean written by Shahrukh A. Irani and published by CRC Press. This book was released on 2020-05-04 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the 1950’s, the design and implementation of the Toyota Production System (TPS) within Toyota had begun. In the 1960’s, Group Technology (GT) and Cellular Manufacturing (CM) were used by Serck Audco Valves, a high-mix low-volume (HMLV) manufacturer in the United Kingdom, to guide enterprise-wide transformation. In 1996, the publication of the book Lean Thinking introduced the entire world to Lean. Job Shop Lean integrates Lean with GT and CM by using the five Principles of Lean to guide its implementation: (1) identify value, (2) map the value stream, (3) create flow, (4) establish pull, and (5) seek perfection. Unfortunately, the tools typically used to implement the Principles of Lean are incapable of solving the three Industrial Engineering problems that HMLV manufacturers face when implementing Lean: (1) finding the product families in a product mix with hundreds of different products, (2) designing a flexible factory layout that "fits" hundreds of different product routings, and (3) scheduling a multi-product multi-machine production system subject to finite capacity constraints. Based on the Author’s 20+ years of learning, teaching, researching, and implementing Job Shop Lean since 1999, this book Describes the concepts, tools, software, implementation methodology, and barriers to successful implementation of Lean in HMLV production systems Utilizes Production Flow Analysis instead of Value Stream Mapping to eliminate waste in different levels of any HMLV manufacturing enterprise Solves the three Industrial Engineering problems that were mentioned earlier using software like PFAST (Production Flow Analysis and Simplification Toolkit), Sgetti and Schedlyzer Explains how the one-at-a-time implementation of manufacturing cells constitutes a long-term strategy for Continuous Improvement Explains how product families and manufacturing cells are the basis for implementing flexible automation, machine monitoring, virtual cells, Manufacturing Execution Systems, and other elements of Industry 4.0 Teaches a new method, Value Network Mapping, to visualize large multi-product multi-machine production systems whose Value Streams share many processes Includes real success stories of Job Shop Lean implementation in a variety of production systems such as a forge shop, a machine shop, a fabrication facility and a shipping department Encourages any HMLV manufacturer planning to implement Job Shop Lean to leverage the co-curricular and extracurricular programs of an Industrial Engineering department
Download or read book Reinforcement Learning second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Download or read book Flow Shop Scheduling written by Hamilton Emmons and published by Springer Science & Business Media. This book was released on 2012-09-14 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using simplified notation and revealing unifying concepts, this book covers flow shop systems including two-machine, flexible and stochastic, and examines the reentrant flow shop, in which a job may be reprocessed at the same station or sequence of stations.
Download or read book Planning and Scheduling in Manufacturing and Services written by Michael L. Pinedo and published by Springer Science & Business Media. This book was released on 2009-10-03 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pinedo is a major figure in the scheduling area (well versed in both stochastics and combinatorics) , and knows both the academic and practitioner side of the discipline. This book includes the integration of case studies into the text. It will appeal to engineering and business students interested in operations research.
Download or read book A Cooperative Hierarchical Deep Reinforcement Learning Based Multi Agent Method for Distributed Job Shop Scheduling Problem with Random Job Arrivals written by Jiang-Ping Huang and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed manufacturing has been an important trend in the industrial field, in which the production cost can be reduced through the cooperation among factories. In the real production, the random job arrivals are regular for the enterprises with daily delivered production tasks. In the paper, Distributed Job-shop Scheduling Problem (DJSP) with random job arrivals is studied. The distributed characteristics and the uncertain disturbance raise higher demands on the responsiveness and the self-adaptiveness of the scheduling method. To meet the scheduling requirements, a hierarchical Deep Reinforcement Learning (DRL) based multi-agent method Agentin is presented where the assigning agent (Agenta) and the sequencing agent (Agents) are respectively designed for job allocation and job sequencing, and they share the system information and extract the features they need independently. Agenta and Agents are both based on the specially-designed DQN framework, which has a variable threshold probability in the training stage, and it can balance the exploitation and exploration in the model training. For Agenta and Agents, two Markov Decision Process (MDP) formulations are established with elaborately-explored state features, rules-based action spaces and objective-oriented reward functions. Based on 1350 different production instances, the independent utility tests prove the effectiveness of the independent agents and the importance of the cooperation among the agents. The comparison test with the related algorithms validates the effectiveness of the integrated multi-agent method.
Download or read book Energy Flexible Job Shop Scheduling Using Deep Reinforcement Learning written by Mine Felder and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book 2020 Winter Simulation Conference WSC written by IEEE Staff and published by . This book was released on 2020-12-14 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: WSC is the premier international forum for disseminating recent advances in the field of system simulation In addition to a technical program of unsurpassed scope and quality, WSC provides the central meeting for practitioners, researchers, and vendors
