Operations methods : managing waiting line applications / Kenneth A. Shaw.
Material type:
TextSeries: Quantitative approaches to decision making collectionPublisher: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, [(c)2016.]Edition: Second editionDescription: 1 online resource (xiv, 181 pages)Content type: - text
- computer
- online resource
- 9781631570865
- Queuing theory
- arrival distributions
- arrival rate
- assembly line performance
- cost trade-offs
- deterministic process
- Erlang distributions
- Excel applications
- exponential distribution
- Kendall notation
- limited population service
- line capacity restrictions
- Little's law
- Markovian
- memoryless
- multiple servers
- normal distribution
- poisson distribution
- priority queues
- queues
- queuing theory
- service classes
- service distributions
- service process design
- service process improvement
- service rate
- simulation methods
- state diagrams
- stochastic process
- triangular distribution
- uniform distribution
- utilization
- variances
- waiting lines
- waiting time
- T57.9
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G. Allen Fleece Library | Non-fiction | T57.9 (Browse shelf(Opens below)) | Link to resource | Available | 10522194 |
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1. Concepts, probabilities, models, and costs -- 2. The basics: single-channel, single-phase model -- 3. The basics: multiple-channel, single-phase model -- 4. More complex single-channel models -- 5. More complex multiple-channel models -- 6. Managerial considerations -- 7. Useful tools and simulation methods -- Appendix A. Glossary -- Appendix B. Symbol definitions -- Appendix C. Multiple-channel application data -- Appendix D. Simulation information -- Appendix E. Second edition supplements -- Notes -- References -- Index.
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Updated to integrate the management of associated information processes, expand some application discussions, and provide additional reference material, the intent of this monograph is to help business professionals use waiting line (queuing) analysis methods to improve both service and manufacturing business applications of queuing situations. Emphasis is given to discussing the caveats in applying waiting line theory and becoming aware of the assumptions used in developing that theory. The importance of accounting for variability in waiting line processes is discussed in some detail because the basic queuing equations provide only average performance data under steady-state conditions. Understanding how much variability can exist for a given waiting line scenario provides a manager with the insight required to reduce these effects and develop innovative solutions for improving service while reducing operating costs. In general the mathematical tone of the book is focused on applications, not the derivation of the formulas presented. The few derivation exceptions illustrate some approaches not commonly discussed in textbooks--for example, the use of state diagrams and random number approximations of the probability distributions for use in simple simulation models. To aid in understanding the material presented, some practical examples are given at appropriate points in the text and some simulation approaches using common spreadsheet software are described.
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