Handbook of Stochastic Models and Analysis of Manufacturing System Operations
edited by J. MacGregor Smith, Barış Tan
| Year of publication: |
2013
|
|---|---|
| Authors: | Smith, James MacGregor |
| Other Persons: | Tan, Baris (contributor) |
| Publisher: |
New York, NY : Springer |
| Subject: | Produktionssystem | Manufacturing system | Stochastischer Prozess | Stochastic process | Mathematische Optimierung | Mathematical programming | Fertigungssystem | Stochastisches Modell |
| Description of contents: | Description [zbmath.org] |
| Extent: | Online-Ressource (XXVIII, 373 p. 153 illus., 32 illus. in color, digital) |
|---|---|
| Series: | |
| Type of publication: | Book / Working Paper |
| Language: | English |
| Notes: | Includes bibliographical references and index 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 |
| ISBN: | 978-1-4614-6777-9 ; 978-1-4614-6776-2 |
| Other identifiers: | 10.1007/978-1-4614-6777-9 [DOI] |
| Classification: | Fertigungstechnik: Allgemeines ; Wahrscheinlichkeitsrechnung |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014016739