Frederick Hillier and Mark HillierIntroduction to Management Science: A Modeling and Case Studies Approach with Spreadsheetshttps://www.mheducation.com/cover-images/Jpeg_250-high/1259918920.jpeg?404URL=https://shop.mheducation.com/mhshopweb/images/no_cover_140.png
Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets6th Edition
– Connect: A highly reliable, easy-to-use homework and learning management solution that embeds learning science and award-winning adaptive tools to improve student results. – This text focuses on business situations, including prominent non-mathematical issues, the use spreadsheets, and involves model formulation and assessment more than model structuring. – Nearly every chapter includes one or two case studies patterned after actual applications.
The estimated
amount of time this product will be on the market is based on a number
of factors, including faculty input to instructional design and the
prior revision cycle and updates to academic research-which typically
results in a revision cycle ranging from every two to four years for
this product. Pricing subject to change at any time.
The estimated amount of time this product will be on the market is based on a number
of factors, including faculty input to instructional design and the prior revision cycle
and updates to academic research-which typically results in a revision cycle ranging from
every two to four years for this product. Pricing subject to change at any time.
1 Introduction 2 Linear Programming: Basic Concepts 3 Linear Programming: Formulation and Applications 4 The Art of Modeling with Spreadsheets 5 What-If Analysis for Linear Programming 6 Network Optimization Problems 7 Using Binary Integer Programming to Deal with Yes-or-No Decisions 8 Nonlinear Programming 9 Decision Analysis 10 Forecasting 11 Queueing Models 12 Computer Simulation: Basic Concepts 13 Computer Simulation with Analytic Solver
1 Introduction 2 Linear Programming: Basic Concepts 3 Linear Programming: Formulation and Applications 4 The Art of Modeling with Spreadsheets 5 What-If Analysis for Linear Programming 6 Network Optimization Problems 7 Using Binary Integer Programming to Deal with Yes-or-No Decisions 8 Nonlinear Programming 9 Decision Analysis 10 Forecasting 11 Queueing Models 12 Computer Simulation: Basic Concepts 13 Computer Simulation with Analytic Solver
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