Decision Making in Service Industries

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Assignment Decisions
Category=KJMD
Category=KNS
chain
Compliant Clean
Customer Perceptions of Quality and Service System Design
Data Sets
Decision Maker's Risk Attitude
Decision Maker’s Risk Attitude
Decision Making in Health Services
Decision Making in Logistic Services
Decision Making in Other Service Areas
discrete
Discrete Event Simulation
Dynamic Assignment Model
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
ERP System
event
Expected Utility
FAHP
healthcare logistics optimization
Integrated Supply Chain Design
Logistics Outsourcing
MIP Gap
Monte Carlo Simulation
Patient Prioritization
problems
quantitative decision analysis
queuing theory applications
Room Cleaning
routing
Scenario Ii
search
service operations research
Service Request
Services and Decision Making
simulation
simulation methodologies
Simulation Optimization Procedure
stochastic modeling
supply
tabu
Time Window Violation
Tr Ue
Utility Function
vehicle
VRP
VRP Model

Product details

  • ISBN 9781439867341
  • Weight: 816g
  • Dimensions: 156 x 234mm
  • Publication Date: 08 Aug 2012
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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In real-life scenarios, service management involves complex decision-making processes usually affected by random or stochastic variables. Under such uncertain conditions, the development and use of robust and flexible strategies, algorithms, and methods can provide the quantitative information necessary to make better business decisions. Decision Making in Service Industries: A Practical Approach explores the challenges that must be faced to provide intelligent strategies for efficient management and decision making that will increase your organization’s competitiveness and profitability.

The book provides insight and understanding into practical and methodological issues related to decision-making processes under uncertainty in service industries. It examines current and future trends regarding how these decision-making processes can be efficiently performed for better design of service systems by using probabilistic algorithms as well as hybrid and simulation-based approaches.

Traditionally, many quantitative tools have been developed to make decisions in production companies. This book explores how to use these tools for making decisions inside service industries. Thus, the authors tackle strategic, tactical, and operational problems in service companies with the help of suitable quantitative models such as heuristic and metaheuristic algorithms, simulation, or queuing theory.

Generally speaking, decision making is a hard task in business fields. Making the issue more complex, most service companies’ problems are related to the uncertainty of the service demand. This book sheds light on these types of decision problems. It provides studies that demonstrate the suitability of quantitative methods to make the right decisions. Consequently, this book presents the business analytics needed to make strategic decisions in service industries.

Javier Faulin, Angel A. Juan, Scott E. Grasman, Michael J. Fry