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.
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