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Online scheduling is recognized as the crucial decision-making process of production control at a phase of “being in production" according to the released shop floor schedule. Online scheduling can be also considered as one of key enablers to realize prompt capable-to-promise as well as available-to-promise to customers along with reducing production lead times under recent globalized competitive markets. Online Scheduling in Manufacturing introduces new approaches to online scheduling based on a concept of cumulative delay. The cumulative delay is regarded as consolidated information of uncertainties under a dynamic environment in manufacturing and can be collected constantly without much effort at any points in time during a schedule execution. In this approach, the cumulative delay of the schedule has the important role of a criterion for making a decision whether or not a schedule revision is carried out. The cumulative delay approach to trigger schedule revisions has the following capabilities for the practical decision-making: 1. To reduce frequent schedule revisions which do not necessarily improve a current situation with much expense for its operation; 2. To avoid overreacting to disturbances dependent on strongly an individual shop floor circumstance; and 3. To simplify the monitoring process of a schedule status. Online Scheduling in Manufacturing will be of interest to both practitioners and researchers who work in planning and scheduling in manufacturing. Readers will find the importance of when-to-revise policies during a schedule execution and their influences on scheduling results.
Business logistics. --- Just-in-time systems. --- Production scheduling -- Mathematical models. --- Production scheduling --- Uncertainty (Information theory) --- Mechanical Engineering --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Industrial & Management Engineering --- Civil Engineering --- Data processing --- Production scheduling. --- Production planning. --- Manufacturing planning --- Process planning --- Job scheduling (Production control) --- Job-shop scheduling --- Project scheduling (Production control) --- Scheduling (Management) --- Engineering. --- Production management. --- Engineering economics. --- Engineering economy. --- Engineering Economics, Organization, Logistics, Marketing. --- Operations Management. --- Planning --- Production engineering --- Production control --- Scheduling --- Manufacturing management --- Industrial management --- Economy, Engineering --- Engineering economics --- Industrial engineering
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The Multi-Agent Based Beam Search (MABBS) method systematically integrates four major requirements of manufacturing production - representation capability, solution quality, computation efficiency, and implementation difficulty - within a unified framework to deal with the many challenges of complex real-world production planning and scheduling problems. Multi-agent Based Beam Search for Real-time Production Scheduling and Control introduces this method, together with its software implementation and industrial applications. This book connects academic research with industrial practice, and develops a practical solution to production planning and scheduling problems. To simplify implementation, a reusable software platform is developed to build the MABBS method into a generic computation engine. This engine is integrated with a script language, called the Embedded Extensible Application Script Language (EXASL), to provide a flexible and straightforward approach to representing complex real-world problems. Adopting an in-depth yet engaging and clear approach, and avoiding confusing or complicated mathematics and formulas, this book presents simple heuristics and a user-friendly software platform for system modelling. The supporting industrial case studies provide key information for students, lecturers, and industry practitioners alike. Multi-agent Based Beam Search for Real-time Production Scheduling and Control offers insights into the complex nature of and a practical total solution to production planning and scheduling, and inspires further research and practice in this promising research area.
Computational intelligence. --- Electronics -- Data processing. --- Evolutionary computation. --- Civil & Environmental Engineering --- Mechanical Engineering --- Engineering & Applied Sciences --- Industrial & Management Engineering --- Civil Engineering --- Production scheduling. --- Job scheduling (Production control) --- Job-shop scheduling --- Project scheduling (Production control) --- Scheduling (Management) --- Engineering. --- Production management. --- Computer simulation. --- Engineering economics. --- Engineering economy. --- Engineering Economics, Organization, Logistics, Marketing. --- Operations Management. --- Simulation and Modeling. --- Production control --- Scheduling --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Manufacturing management --- Industrial management --- Economy, Engineering --- Engineering economics --- Industrial engineering
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This book constitutes the thoroughly refereed proceedings of the 16th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2012, which was held in Shanghai, China, in May 2012. The 14 revised papers presented were carefully reviewed and selected from 24 submissions. The papers cover the following topics: parallel batch scheduling; workload analysis and modeling; resource management system software studies; and Web scheduling.
Engineering & Applied Sciences --- Computer Science --- Information Technology --- Software Engineering --- Parallel processing (Electronic computers) --- Computer capacity --- Production scheduling --- Management --- Job scheduling (Production control) --- Job-shop scheduling --- Project scheduling (Production control) --- Scheduling (Management) --- Capacity, Computer --- Computer science. --- Computer communication systems. --- Software engineering. --- Operating systems (Computers). --- Algorithms. --- Computer simulation. --- Computer Science. --- Software Engineering. --- Operating Systems. --- Computer Communication Networks. --- Algorithm Analysis and Problem Complexity. --- Software Engineering/Programming and Operating Systems. --- Simulation and Modeling. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Algorism --- Algebra --- Arithmetic --- Computer operating systems --- Computers --- Disk operating systems --- Systems software --- Computer software engineering --- Engineering --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Informatics --- Science --- Foundations --- Operating systems --- Distributed processing --- Production control --- Scheduling --- Computer software. --- Software, Computer --- Computer systems --- Computer networks. --- Computer Modelling.
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Although several monographs and edited volumes have discussed scheduling in general, most of these works survey the field by contributing a single chapter to production systems like flow shops. Flow Shop Scheduling: Theoretical Results, Algorithms, and Applications is solely dedicated to bringing together a huge body of knowledge on the subject, along distinct design features, in order to help scholars and practitioners easily identify problems of interest. This monograph has been organized into ten distinct flow shop systems and explores their connections. The chapters cover flow shop systems including two-machine, flexible, stochastic, and more. Outside of the traditional flow shops that require a job never revisits any stage, this book also examines the reentrant flow shop, in which a job may cycle back and be reprocessed at the same station or sequence of stations, multiple times. The authors have made the material accessible to a broad readership, using simplified notation and revealing unifying concepts. The results unique to flow shop research should provide the seed for research in other areas of scheduling and in optimization in general.
Economics. --- Heuristic algorithms. --- Production scheduling. --- Production scheduling --- Heuristic algorithms --- Management --- Mechanical Engineering --- Engineering & Applied Sciences --- Business & Economics --- Management Theory --- Industrial & Management Engineering --- Production control. --- Production control --- Manufacturing processes. --- Production planning. --- Mathematical models. --- Manufacturing planning --- Process planning --- Industrial processing --- Manufacture --- Process engineering (Manufactures) --- Processes, Manufacturing --- Processing, Industrial --- Production processes --- Control, Production --- Job scheduling (Production control) --- Job-shop scheduling --- Project scheduling (Production control) --- Scheduling (Management) --- Business. --- Production management. --- Operations research. --- Decision making. --- Management science. --- Business and Management. --- Operation Research/Decision Theory. --- Operations Research, Management Science. --- Operations Management. --- Scheduling --- Planning --- Production engineering --- Industrial arts --- Machine-tools --- Materials --- Factory management --- Industrial engineering --- Industrial management --- Operations Research/Decision Theory. --- Manufacturing management --- Operational analysis --- Operational research --- Management science --- Research --- System theory --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Quantitative business analysis --- Operations research --- Statistical decision --- Decision making
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This book deals with the performance analysis of closed queueing networks with general processing times and finite buffer spaces. It offers a detailed introduction to the problem and a comprehensive literature review. Two approaches to the performance of closed queueing networks are presented. One is an approximate decomposition approach, while the second is the first exact approach for finite-capacity networks with general processing times. In this Markov chain approach, queueing networks are analyzed by modeling the entire system as one Markov chain. As this approach is exact, it is well-suited both as a reference quantity for approximate procedures and as extension to other queueing networks. Moreover, for the first time, the exact distribution of the time between processing starts is provided.
Queuing theory. --- Telecommunication systems -- Mathematical models. --- Telecommunication systems. --- Queuing theory --- Production scheduling --- Management --- Mathematics --- Physical Sciences & Mathematics --- Business & Economics --- Management Theory --- Mathematical Statistics --- Production scheduling. --- Business. --- Production management. --- Operations research. --- Decision making. --- Statistics. --- Business and Management. --- Operations Management. --- Operation Research/Decision Theory. --- Statistics and Computing/Statistics Programs. --- Job scheduling (Production control) --- Job-shop scheduling --- Project scheduling (Production control) --- Scheduling (Management) --- Production control --- Scheduling --- Erlang traffic formula --- Queueing theory --- Theory of queues --- Waiting-line theory --- Stochastic processes --- Mathematical statistics. --- Operations Research/Decision Theory. --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Manufacturing management --- Industrial management --- Statistical methods --- Statistics . --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making --- Mathematical statistics --- Operations Research and Decision Theory. --- Statistics and Computing. --- Data processing.
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