MTU Cork Library Catalogue

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Quantitative methods for business / David R. Anderson ... [et al.].

By: Anderson, David R. (David Ray), 1941-.
Contributor(s): Sweeney, Dennis J | Williams, Thomas Arthur, 1944-.
Material type: materialTypeLabelBookPublisher: Australia ; UK : South-Western College Pub., c2001Edition: 8th ed.Description: xxi, 757 p., various pagings : ill. ; 27 cm + hbk.ISBN: 0324044992; 032402133X .Subject(s): Management scienceDDC classification: 658.4033
Contents:
Introduction -- Introduction to probability -- Probability distributions -- Decision analysis -- Utility and decision making -- Forecasting -- Introduction to linear programming -- Linear programming: Sensitivity analysis and interpretation of solution -- Linear programming applications -- Transportation, assignment and transshipment problems -- Integer linear programming -- Project scheduling: PERT/CPM -- Inventory management: Independent demand -- Inventory management: dependent demand -- Waiting line models -- Simulation -- Markov processes -- Multicriteria decision problems.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 658.4033 (Browse shelf(Opens below)) 1 Available 00086142
General Lending MTU Bishopstown Library Lending 658.4033 (Browse shelf(Opens below)) 1 Available 00086144
Total holds: 0

Enhanced descriptions from Syndetics:

This revision of the classic Quantitative Methods for Business provides students with a conceptual understanding of the role that quantitative methods play in the decision-making process. This text describes the many quantitative methods that have been developed over the years, explains how they work, and shows how the decision-maker can apply and interpret data. Written with the non-mathematician in mind, this text is applications-oriented. Its "Problem-Scenario Approach" motivates and helps students understand and apply mathematical concepts and techniques. In addition, the managerial orientation motivates students by using examples that illustrate situations in which quantitative methods are useful in decision making.

Includes bibliographical references (pages A-17-A-18) and index.

Introduction -- Introduction to probability -- Probability distributions -- Decision analysis -- Utility and decision making -- Forecasting -- Introduction to linear programming -- Linear programming: Sensitivity analysis and interpretation of solution -- Linear programming applications -- Transportation, assignment and transshipment problems -- Integer linear programming -- Project scheduling: PERT/CPM -- Inventory management: Independent demand -- Inventory management: dependent demand -- Waiting line models -- Simulation -- Markov processes -- Multicriteria decision problems.

Table of contents provided by Syndetics

  • 1 Introduction
  • 2 Introduction to Probability
  • 3 Probability Distributions
  • 4 Decision Analysis
  • 5 Utility and Decision Making
  • 6 Forecasting
  • 7 An Introduction to Linear Programming
  • 8 Linear Programming: Sensitivity Analysis and Interpretation of Solution
  • 9 Linear Programming Applications
  • 10 Transportation, Assignment, and Transshipment Problems
  • 11 Integer Linear Programming
  • 12 Project Scheduling: PERT/CPM
  • 13 Inventory Models
  • 14 Waiting Line Models
  • 15 Simulation
  • 16 Markov Processes
  • 17 Multicriteria Decisions Appendixes A-F Index

Author notes provided by Syndetics

David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati
Dennis J. Sweeney is Professor of Quantitative Analysis and Director of the Center for Productivity Improvement at the University of Cincinnati
Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology

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