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Handbook of Stochastic Models and Analysis of Manufacturing System Operations

Handbook of Stochastic Models and Analysis of Manufacturing System Operations
Kataloginformation
Feldname Details
Vorliegende Sprache eng
Hinweise auf parallele Ausgaben 767864115 Erscheint auch als (Druck-Ausgabe): ‡Handbook of stochastic models and analysis of manufacturing system operations
ISBN 978-1-4614-6776-2
Name Smith, James MacGregor
Tan, Baris
Name ANZEIGE DER KETTE Tan, Baris
T I T E L Handbook of Stochastic Models and Analysis of Manufacturing System Operations
Verlagsort New York, NY
Verlag Springer
Erscheinungsjahr 2013
2013
Umfang Online-Ressource (XXVIII, 373 p. 153 illus., 32 illus. in color, digital)
Reihe International Series in Operations Research & Management Science ; 192
Notiz / Fußnoten Includes bibliographical references and index
Weiterer Inhalt Preface; Contents; Contributors; Chapter1 The Design of Manufacturing Systems to Cope with Variability; 1.1 Introduction; 1.2 Manufacturing Needs Dedicated Problem Solvers; 1.3 Manufacturing Systems; 1.3.1 Job Shops; 1.3.1.1 Scheduling Job Shops; 1.3.2 Flow Lines; 1.3.2.1 Quality Problems in Moving Belt Flow Lines; 1.3.2.2 Inventory with Unpaced Systems; 1.3.2.3 Inspection and Repair; 1.4 Improving on the Job Shop and the Flow Line; 1.4.1 Flexible Manufacturing Systems (FMS); 1.4.2 Central Storage and Dispatch; 1.4.3 Cells and Teams; 1.5 Conclusions; References. Chapter2 Modeling Automated Warehouses Using Semi-Open Queueing Networks2.1 Introduction; 2.2 SOQN Notation; 2.3 Single-Class SOQN with Two Stages of Exponential Serversand Poisson Arrivals; 2.3.1 State Space Solution; 2.3.2 Matrix Geometric Method Solution; 2.3.3 Numerical Example 1; 2.4 Single-Class SOQN with Multiple Stages of Exponential Servers and Poisson Arrivals; 2.4.1 Decomposition-Aggregation Method; 2.4.2 Numerical Example 2; 2.5 Phase-Type Distribution; 2.5.1 Definition; 2.5.2 Closure Properties and Kronecker Product; 2.5.2.1 Closure Properties; 2.5.2.2 Kronecker Product. 2.6 Single-Class SOQN with Two Stages of General Servers and General Arrival2.6.1 State Space Analysis; 2.6.2 Numerical Example 3; 2.6.3 Multiple Servers; 2.6.4 Numerical Example 4; 2.7 Single-Class SOQN with Multiple Stages of General Servers and General Arrival; 2.7.1 Modified Decomposition-Aggregation Method; 2.7.2 Numerical Example 5; 2.8 Multi-Class SOQN with Multiple Stages of General Serversand General Arrivals; 2.8.1 Aggregation Method; 2.8.2 Numerical Example 6; 2.9 Conclusions; References. Chapter3 Exact Analysis of Discrete Part Production Lines: The Markovian Queueing Network and the Stochastic Automata Networks Formalisms3.1 Introduction and Literature Review; 3.2 The Markovian Formalism; 3.2.1 The Algorithm for the Generation of the Conservative Matrix A for K-Station Reliable Exponential Production Lines with Inter-station Buffers; 3.2.1.1 Number of States; 3.2.1.2 Ordering of States; 3.2.1.3 Structure of Matrix A; 3.2.2 The Queueing Network Model of a Three-Station Reliable Exponential Production Line; 3.3 The Stochastic Automata Networks Formalism (SAN). 3.3.1 Definitions and Properties of Classical Tensor Algebra (CTA) and Generalized Tensor Algebra (GTA)3.3.1.1 Definitions and Properties of Classical Tensor Algebra (CTA); 3.3.1.2 Definitions and Properties of Generalized Tensor Algebra (GTA); 3.3.2 Definition of Kronecker Descriptors Using Tensor Algebra; 3.3.3 The Equivalent SAN Model to the Queueing Network Model of the Three-Station Line; 3.3.3.1 Tensor Representation of the Three-Station Example in SAN; 3.4 Software Tools and Results; 3.4.1 Numerical Results; 3.5 Conclusions; References. Chapter4 Models of Leveling for Lean Manufacturing Systems
Titelhinweis Druckausg.ISBN: 978-1-461-46776-2
Erscheint auch als (Druck-Ausgabe): ‡Handbook of stochastic models and analysis of manufacturing system operations
ISBN ISBN 978-1-4614-6777-9
Klassifikation KJMD
KJT
BUS049000
*91-00
91-06
91B38
90B70
62P30
658.40301
670
HD30.23
QP 890
Kurzbeschreibung The Design of Manufacturing Systems to Cope with Variability -- Modeling Automated Warehouses Using Semi-Open Queueing Networks -- Exact Analysis of Discrete Part Production Lines -- Models of Leveling for Lean Manufacturing Systems -- Value of Advance Demand Information in Production and Inventory Systems with Share Resources -- Production Systems Engineering -- Production Release Control -- Queueing Network Models of Material Handling & Transportation Systems -- Modeling and Analysis of Output Variability in Discrete Material Flow Production Systems -- Stochastic Lot Sizing Problems -- From Operational to Financial Evaluation of Manufacturing Systems
2. Kurzbeschreibung This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using analytical models to design and control manufacturing systems and their operations entail critical stochastic performance analysis as well as integrated optimization models of these systems. Topics deal with the areas of facilities planning, transportation, and material handling systems, logistics and supply chain management, and integrated productivity and quality models covering: • Stochastic modeling and analysis of manufacturing systems • Design, analysis, and optimization of manufacturing systems • Facilities planning, transportation, and material handling systems analysis • Production planning, scheduling systems, management, and control • Analytical approaches to logistics and supply chain management • Integrated productivity and quality models, and their analysis • Literature surveys of issues relevant in manufacturing systems • Case studies of manufacturing system operations and analysis Today’s manufacturing system operations are becoming increasingly complex. Advanced knowledge of best practices for treating these problems is not always well known. The purpose of the book is to create a foundation for the development of stochastic models and their analysis in manufacturing system operations. Given the handbook nature of the volume, introducing basic principles, concepts, and algorithms for treating these problems and their solutions is the main intent of this handbook. Readers unfamiliar with these research areas will be able to find a research foundation for studying these problems and systems
1. Schlagwortkette Fertigungssystem
Stochastisches Modell
ANZEIGE DER KETTE Fertigungssystem -- Stochastisches Modell
SWB-Titel-Idn 383259134
Signatur Springer E-Book
Bemerkungen Elektronischer Volltext - Campuslizenz
Elektronische Adresse $uhttp://dx.doi.org/10.1007/978-1-4614-6777-9
Internetseite / Link Volltext
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