Mark S. Daskin

Service Science (eBook, PDF)

• Format: PDF

Produktbeschreibung

A comprehensive treatment on the use of quantitative modeling for decision making and best practices in the service industries Making up a significant part of the world economy, the service sector is a rapidly evolving field that is relied on to dictate the public's satisfaction and success in various areas of everyday life, from banking and communications to education and healthcare. Service Science provides managers and students of the service industries with the quantitative skills necessary to model key decisions and performance metrics associated with services, including the management of resources, distribution of goods and services to customers, and the analysis and design of queueing systems. The book begins with a brief introduction to the service sector followed by an introduction to optimization and queueing modeling, providing the methodological background needed to analyze service systems. Subsequent chapters present specific topics within service operations management, including: * Location modeling and districting * Resource allocation problems * Short- and long-term workforce management * Priority services, call center design, and customer scheduling * Inventory modeling * Vehicle routing The author's own specialized software packages for location modeling, network optimization, and time-dependent queueing are utilized throughout the book, showing readers how to solve a variety of problems associated with service industries. These programs are freely available on the book's related web site along with detailed appendices and online spreadsheets that accompany the book's "How to Do It in Excel" sections, allowing readers to work hands-on with the presented techniques. Extensively class-tested to ensure a comprehensive presentation, Service Science is an excellent book for industrial engineering and management courses on service operations at the upper-undergraduate and graduate levels. The book also serves as a reference for researchers in the fields of business, management science, operations research, engineering, and economics. This book was named the 2010 Joint Publishers Book of the Year by the Institute of Industrial Engineers.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 628
• Erscheinungstermin: 15. Juli 2011
• Englisch
• ISBN-13: 9780470877869
• Artikelnr.: 37299847

Autorenporträt

MARK S. DASKIN, PhD, is Clyde W. Johnson Collegiate Professor and Chair of the Department of Industrial and Operations Engineering at the University of Michigan. A Fellow of both the Institute for Operations Research and the Management Sciences (INFORMS) and the Institute of Industrial Engineers (IIE), he has published extensively in his areas of research interest, which include supply chain network design, supply chain reliability, location modeling, healthcare operations research, and service operations management. Dr. Daskin is past-president of INFORMS and a past editor-in-chief of both Transportation Science and IIE Transactions. He is the author of Network and Discrete Location: Models, Algorithms, and Applications, also published by Wiley.

Inhaltsangabe

Preface. Acknowledgements. 1. Why study services? 1.1 What are services.
1.2 Services as a percent of the economy. 1.3 Public versus private service
delivery. 1.4 Why model services? 1.5 Key service decisions. 1.6 Philosophy
about models. 1.7 Outline of the book. 1.8 Problems. 1.9 References.
METHODOLOGICAL FOUNDATIONS. 2 Optimization. 2.1 Introduction. 2.2 Five key
elements of optimization. 2.3 Taxonomy of optimization models. 2.4 You
probably have seen one already. 2.5 Linear programming. 2.6 Special network
form. 2.7 Integer problems. 2.8 Multiple objective problems. 2.9 Mark's ten
rules of formulating problems. 2.10 Problems. 2.11 References. 3 Queueing
theory. 3.1 Introduction. 3.2 What is a queueing theory? 3.3 Key
performance metrics for queues and Little's formula. 3.4 A framework for
Markovian queues. 3.5 Key results for non-Markovian queues. 3.6 Solving
queueing models numerically. 3.7 When conditions change over time. 3.8
Conclusions. 3.9 Problems. 3.10 References. APPLICATION AREAS. 4 Location
and districting problems in services. 4.1 Example applications. 4.2
Taxonomy of location problems. 4.3 Covering problems. 4.4 Median problems -
minimizing the demand-weighted average distance. 4.5 Multi-objective
models. 4.6 Districting problems. 4.7 Franchise location problems. 4.8
Summary and software. 4.9 Problems. 4.10 References. 5 Inventory decisions
in services. 5.1 Why is inventory in a service modeling book? 5.2 EOQ - a
basic inventory model. 5.3 Extensions of the EOQ model. 5.4 Time varying
demand. 5.5 Uncertain demand and lead times. 5.6 Newsvendor problem and
applications. 5.7 Summary. 5.8 Problems. 5.9 References. 6 Resource
allocation problems and decisions in services. 6.1 Example resource
allocation problems. 6.2 How to formulate an assignment or resource
allocation problem. 6.3 Infeasible solutions. 6.4 Assigning students to
freshman seminars. 6.5 Assigning students to intersession courses. 6.6
Improving the assignment of zip codes to Congressional districts. 6.7
Summary. 6.8 Problems. 6.9 References. 7 Short-term workforce scheduling.
7.1 Overview of scheduling. 7.2 Simple model. 7.3 Extensions of the simple
model. 7.4 More difficult extensions. 7.5 Linking scheduling to service.
7.6 Time-dependent queueing analyzer. 7.7 Assigning specific employees to
shifts. 7.8 Summary. 7.9 Problems. 7.10 References. 8 Long-term workforce
planning. 8.1 Why is long-term workforce planning an issue? 8.2 Basic
model. 8.3 Grouping of skills. 8.4 Planning over time. 8.5 Linking to
project scheduling. 8.6 Linking to personnel training and planning in
general. 8.7 Simple model of training. 8.8 Summary. 8.9 Problems. 8.10
References. 9 Priority services, call center design and customer
scheduling. 9.1 Examples. 9.2 Priority queueing for emergency and other
services. service in each class with non-preemptive priorities. 9.2.3
Priority service with Poisson arrivals, multiple servers and identically
distributed exponential service times.. 9.2.4 Preemptive queueing. 9.3 Call
center design. 9.4 Scheduling in services. 9.5 Summary. 9.6 Problems. 9.7
References. 10 Vehicle routing and services. 10.1 Example routing problems.
10.2 Classification of routing problems. 10.3 Arc routing. 10.4 The
traveling salesman problem. 10.5 Vehicle routing problems. 10.6 Summary.
10.7 Problems. 10.8 References. 11 Where to from here? 11.1 Introduction.
11.2 Other methodologies. 11.3 Other applications in services. 11.4
Summary. 11.5 References. APPENDICES. A. Sums of series - basic formulae.
B. Overview of probability. B.1. Introduction and basic definitions. B.2
Axioms of probability .. B.3 Joint, marginal and conditional probabilities
and Bayes' theorem. B.4 Counting, ordered pairs, permutations and
combinations. B.5 Random variables. B.6 Discrete random variables. B.7
Continuous random variables. B.8 Moment and probability generating
functions. B.9 Generating random variables. B.10 Random variables in Excel.
C. References.