Efficient Buffer Design Algorithms For Production Line Profit Maximization
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Efficient Buffer Design Algorithms For Production Line Profit Maximization
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Author : Chuan Shi (Ph. D.)
language : en
Publisher:
Release Date : 2012
Efficient Buffer Design Algorithms For Production Line Profit Maximization written by Chuan Shi (Ph. D.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
A production line is a manufacturing system where machines are connected in series and separated by buffers. The inclusion of buffers increases the average production rate of the line by limiting the propagation of disruptions, but at the cost of additional capital investment, floor space of the line, and inventory. Production lines are also a special case of assembly/disassembly systems as well as closed-loop systems. This thesis makes contributions to production system profit maximization. The profit of a production line is the revenue associated with the production rate minus the buffer space cost and average inventory holding cost. We assume that machines have already been chosen and therefore our only decision variables are the buffer sizes and the loop population. The difficulties of the research come from evaluation and optimization. We improve evaluation of loop systems. The optimization problem is hard since both the objective function and the constraints are nonlinear. Our optimization problem, where we consider the nonlinear production rate constraint and average inventory cost, is new. We present an accurate, fast, and reliable algorithm for maximizing profits through buffer space optimization for production lines, and extend the algorithm to closed-loop systems and production lines with an additional maximum part waiting time constraint. A nonlinear programming approach is adopted to solve the optimization problem. Two necessary modifications are proposed to improve the accuracy of the existing loop evaluation method before optimization of loops is studied. An analytical formulation of the part waiting time distribution is developed for two-machine one-buffer lines. It is used in the profit maximization for production lines with both the production rate constraint and the maximum part waiting time constraint. Numerical experiments are provided to show the accuracy and efficiency of the proposed algorithms. Finally, a segmentation method and an additive property of production line optimization are studied. They enable us to optimize very long lines rapidly and accurately.
Performance Analysis Of Stochastic Flow Lines With Limited Material Supply
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Author : Julia Mindlina
language : en
Publisher: BoD – Books on Demand
Release Date : 2019-03-14
Performance Analysis Of Stochastic Flow Lines With Limited Material Supply written by Julia Mindlina and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-14 with Business & Economics categories.
In order to improve the performance of production systems, companies consider the optimization of the flow line configuration. However, the material supply of the flow line exerts a strong influence on the output of the production system since material shortages impede the flow of workpieces through the flow line. Simultaneously, the configuration of the flow line determines the demand for material. Consequently, the mutual interdependence between the material supply and the flow line has to be considered in order to balance a sufficient material supply of the flow line avoiding material shortages as well as excessive material inventory and handling effort. We provide integrated approaches for the evaluation and optimization of stochastic flow lines with limited material supply. Thereby, we make use of several evaluation methods as Markov chain approaches, aggregation and decomposition approaches as well as linear programming. Further, we model open and closed queuing networks in continuous and discrete time. Hence, we present exact and approximate approaches that allow us to study the effects in several stochastic production systems with limited material supply.
Intelligent Data Engineering And Automated Learning Ideal 2015
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Author : Konrad Jackowski
language : en
Publisher: Springer
Release Date : 2015-10-13
Intelligent Data Engineering And Automated Learning Ideal 2015 written by Konrad Jackowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-13 with Computers categories.
This book constitutes the refereed proceedings of the 16th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2015, held in Wroclaw, Poland, in October 2015. The 64 revised full papers presented were carefully reviewed and selected from 127 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modeling, swarm intelligent, multi-objective optimization, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, IDEAL 2015 also featured a number of special sessions on several emerging topics such as computational intelligence for optimization of communication networks, discovering knowledge from data, simulation-driven DES-like modeling and performance evaluation, and intelligent applications in real-world problems.
Efficient Heuristics For Buffer Allocation In Closed Serial Production Lines
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Author : Hector A. Vergara Arteaga
language : en
Publisher:
Release Date : 2005
Efficient Heuristics For Buffer Allocation In Closed Serial Production Lines written by Hector A. Vergara Arteaga and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Buffer storage (Computer science) categories.
The optimal allocation of buffers in serial production systems is one of the oldest and most researched problems in Industrial Engineering. In general, there are three main approaches to the buffer allocation problem when the objective is to maximize throughput. The first is basically a systematic trial and error procedure supported either by discrete event simulation or analytical models. A second approach is to allocate buffers based on general design rules that have been established in the research literature through experimentation. And the third approach is to apply a buffer allocation optimization algorithm to a specific production line. All these approaches have limitations and could be time and resource consuming. Additionally, most of the existing research on buffer allocation only considers production systems modeled with an infinite supply of raw materials before the first workstation and an unlimited capacity for finished goods after the last workstation. In reality many production systems are designed as closed systems where an interaction between the last and the first workstations in the line is present. In a closed production system, there is a finite buffer after the last workstation and the number of "carriers" holding jobs that move through the line is fixed. The objective of this thesis was to develop efficient heuristic algorithms for the buffer allocation problem in closed production systems. Two heuristics for buffer allocation were implemented. Heuristic H 1 uses the idea that highly utilized workstation stages require any available buffer more than sub-utilized stages. Heuristic H2 uses information stored in the longest path of a network representation of job flow to determine where additional buffers are most beneficial. An experiment was designed to determine if there are any statistically significant differences between throughput values with buffer allocations obtained with a genetic algorithm, also developed in this research, and through puts with buffer allocations generated by Hi and H2. Several types of closed production systems were examined in eight different test cases. No significant differences in performance were observed. The efficiency of the heuristics was also analyzed. A significant difference between the speeds of Hi and H2 is found. The analysis performed in this research indicates that heuristic H2 is sufficiently effective and accurate for determining near optimal buffer allocations in closed production systems.
Innovation Engineering And Entrepreneurship
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Author : José Machado
language : en
Publisher: Springer
Release Date : 2018-06-02
Innovation Engineering And Entrepreneurship written by José Machado and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-02 with Technology & Engineering categories.
This book presents endeavors to join synergies in order to create added value for society, using the latest scientific knowledge to boost technology transfer from academia to industry. It potentiates the foundations for the creation of knowledge- and entrepreneurial cooperation networks involving engineering, innovation, and entrepreneurship stakeholders. The Regional HELIX 2018 conference was organized at the University of Minho’s School of Engineering by the MEtRICs and Algoritmi Research Centers, and took place in Guimarães, Portugal, from June 27th to 29th, 2018. After a rigorous peer-review process, 160 were accepted for publication, covering a wide range of topics, including Control, Automation and Robotics; Mechatronics Design, Medical Devices and Wellbeing; Cyber-Physical Systems, IoT and Industry 4.0; Innovations in Industrial Context and Advanced Manufacturing; New Trends in Mechanical Systems Development; Advanced Materials and Innovative Applications; Waste to Energy and Sustainable Environment; Operational Research and Industrial Mathematics; Innovation and Collaborative Arrangements; Entrepreneurship and Internationalization; and Oriented Education for Innovation, Engineering and/or Entrepreneurship.
Advances In Optimization And Decision Science For Society Services And Enterprises
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Author : Massimo Paolucci
language : en
Publisher: Springer Nature
Release Date : 2020-01-25
Advances In Optimization And Decision Science For Society Services And Enterprises written by Massimo Paolucci and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-25 with Business & Economics categories.
The contributions included in the volume are drawn from presentations at ODS2019 – International Conference on Optimization and Decision Science, which was the 49th annual meeting of the Italian Operations Research Society (AIRO) held at Genoa, Italy, on 4-7 September 2019. This book presents very recent results in the field of Optimization and Decision Science. While the book is addressed primarily to the Operations Research (OR) community, the interdisciplinary contents ensure that it will also be of very high interest for scholars and researchers from many scientific disciplines, including computer sciences, economics, mathematics, and engineering. Operations Research is known as the discipline of optimization applied to real-world problems and to complex decision-making fields. The focus is on mathematical and quantitative methods aimed at determining optimal or near-optimal solutions in acceptable computation times. This volume not only presents theoretical results but also covers real industrial applications, making it interesting for practitioners facing decision problems in logistics, manufacturing production, and services. Readers will accordingly find innovative ideas from both a methodological and an applied perspective.
Recent Developments In Metaheuristics
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Author : Lionel Amodeo
language : en
Publisher: Springer
Release Date : 2017-09-18
Recent Developments In Metaheuristics written by Lionel Amodeo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-18 with Business & Economics categories.
This book highlights state-of-the-art developments in metaheuristics research. It examines all aspects of metaheuristic research including new algorithmic developments, applications, new research challenges, theoretical developments, implementation issues, in-depth experimental studies. The book is divided into two sections. Part I is focused on new optimization and modeling techniques based on metaheuristics. The chapters in this section cover topics from multi-objective problems with fuzzy data with triangular-valued objective functions, to hyper-heuristics optimization methodology, designing genetic algorithms, and also the cuckoo search algorithm. The techniques described help to enhance the usability and increase the potential of metaheuristic algorithms. Part II showcases advanced metaheuristic approaches to solve real-life applications issues. This includes an examination of scheduling, the vehicle routing problem, multimedia sensor network, supplier selection, bin packing, objects tracking, and radio frequency identification. In the fields covered in the chapters are of high-impact applications of metaheuristics. The chapters offer innovative applications of metaheuristics that have a potential of widening research frontiers. Altogether, this book offers a comprehensive look at how researchers are currently using metaheuristics in different domains of design and application.
Intelligent Systems For Smart Cities
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Author : Anand J. Kulkarni
language : en
Publisher: Springer Nature
Release Date : 2024-01-02
Intelligent Systems For Smart Cities written by Anand J. Kulkarni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-02 with Technology & Engineering categories.
This book presents the select proceedings of the 2nd International Conference on Intelligent Systems and Applications 2023. The theme of this conference is ‘Intelligent Systems for Smart Cities'. It covers the topics of intelligent systems in multiple aspects such as healthcare, supply chain and logistics, smart homes and smart structures, banking and finance, a sustainable environment, social media and cyber security, crime prevention, and disaster management. The book will be useful for researchers and professionals interested in the broad field of artificial intelligence and machine learning.
Supply Chain Optimization Design And Management Advances And Intelligent Methods
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Author : Minis, Ioannis
language : en
Publisher: IGI Global
Release Date : 2010-12-31
Supply Chain Optimization Design And Management Advances And Intelligent Methods written by Minis, Ioannis and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-31 with Business & Economics categories.
Computational Intelligence (CI) is a term corresponding to a new generation of algorithmic methodologies in artificial intelligence, which combines elements of learning, adaptation, evolution and approximate (fuzzy) reasoning to create programs that can be considered intelligent. Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods presents computational intelligence methods for addressing supply chain issues. Emphasis is given to techniques that provide effective solutions to complex supply chain problems and exhibit superior performance to other methods of operations research.
Performance Evaluation And Optimization Of Production Lines
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Author : J. MacGregor Smith
language : en
Publisher:
Release Date : 2000
Performance Evaluation And Optimization Of Production Lines written by J. MacGregor Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Employees categories.