000			04980nam a2200877 i 4500
001			10522194
003			CaPaEBR
005			20241023114842.0
006			m eo d
007			cr cn |||m|||a
008			151226s2016 nyu foab 001 0 eng d
020			_a9781631570865 _qe-book
035			_a(OCoLC)935736422
035			_a(CaBNVSL)swl00405992
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aT57.9
100	1		_aShaw, Kenneth A., _eauthor.
245	1	0	_aOperations methods : _bmanaging waiting line applications / _cKenneth A. Shaw.
250			_aSecond edition.
264		1	_aNew York, New York (222 East 46th Street, New York, NY 10017) : _bBusiness Expert Press, _c[(c)2016.]
300			_a1 online resource (xiv, 181 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_adata file _2rda
490	1		_aQuantitative approaches to decision making collection, _x2163-9582
504			_aIncludes bibliographical references (pages 169-177) and index.
505	0		_a1. Concepts, probabilities, models, and costs -- _t2. The basics: single-channel, single-phase model -- _t3. The basics: multiple-channel, single-phase model -- _t4. More complex single-channel models -- _t5. More complex multiple-channel models -- _t6. Managerial considerations -- _t7. Useful tools and simulation methods -- _tAppendix A. Glossary -- _tAppendix B. Symbol definitions -- _tAppendix C. Multiple-channel application data -- _tAppendix D. Simulation information -- _tAppendix E. Second edition supplements -- _tNotes -- _tReferences -- _tIndex.
506			_aAccess restricted to authorized users and institutions.
520	3		_aUpdated 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.
530			_a2 _ub
530			_aAlso available in printing.
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat reader.
588			_aTitle from PDF title page (viewed on December 26, 2015).
650		0	_aQueuing theory.
653			_aarrival distributions
653			_aarrival rate
653			_aassembly line performance
653			_acost trade-offs
653			_adeterministic process
653			_aErlang distributions
653			_aExcel applications
653			_aexponential distribution
653			_aKendall notation
653			_alimited population service
653			_aline capacity restrictions
653			_aLittle's law
653			_aMarkovian
653			_amemoryless
653			_amultiple servers
653			_anormal distribution
653			_apoisson distribution
653			_apriority queues
653			_aqueues
653			_aqueuing theory
653			_aservice classes
653			_aservice distributions
653			_aservice process design
653			_aservice process improvement
653			_aservice rate
653			_asimulation methods
653			_astate diagrams
653			_astochastic process
653			_atriangular distribution
653			_auniform distribution
653			_autilization
653			_avariances
653			_awaiting lines
653			_awaiting time
655		0	_a[genre]
776	0	8	_iPrint version: _z9781631570858
830		0	_aQuantitative approaches to decision making collection. _x2163-9582
856	4	0	_uhttps://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000439.html
942			_2lcc _bCIU _cOB _eBEP _QOL _zBEP10522194
999			_c74077 _d74077
902			_c1 _dCynthia Snell