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.
