MTU Cork Library Catalogue

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Quantitative methods for business / David R. Anderson, Dennis J. Sweeney, Thomas A. Williams..

By: Anderson, David R. (David Ray), 1941-.
Contributor(s): Sweeney, Dennis J | Williams, Thomas Arthur, 1944-.
Material type: materialTypeLabelBookPublisher: St. Paul : West Pub. Co, c1989Edition: 4th ed.Description: xviii, 778 p. : ill. (some col.) ; 27 cm.ISBN: 0314469354.Subject(s): Management scienceDDC classification: 658.4033
Contents:
Introduction -- Introduction to probability -- Probability distributions -- Decision analysis -- Utility and decision making -- Forecasting -- Linear programming: the graphical method -- Linear programming: Sensitivity analysis and computer solution -- Linear programming applications -- Linear programming: the simplex method -- Transportation, assignment and transshipment problems -- Integer linear programming -- Project management: PERT/CPM -- Inventory models -- Computer simulation -- Waiting-line models -- Multicriteria decision problems -- Epilogue: Quantitative methods and computer-based information systems.
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 00021163
Total holds: 0

Enhanced descriptions from Syndetics:

A textbook for graduate and undergraduate courses introducing quantitative methods that play a role in business decision making. Anderson and Dennis Sweeney (both quantitative analysis, U of Cincinnati) and Thomas Williams (management science, Rochester Institute of Technology) assume only a course in algebra, providing the necessary background themselves in the chapter on probability and probability distribution. Their problem-scenario approach entails introducing a problem in each chapter to illustrate the procedure being described. They use the generally accepted notation, so students who go on to more advanced study will not need to learn it again. The eighth edition incorporates changes reflecting their teaching experience and developments in the field. Annotation copyrighted by Book News Inc., Portland, OR

Accompanied by software on one 3 1/2 in. computer disk for use with the IBM PS/2 and compatibles and on two 5 1/4 in. computer disks for use with the IBM PC and compatibles entitled: The management scientist. Version 1.1..

Includes bibliographical references (pages 746-750) and index.

Introduction -- Introduction to probability -- Probability distributions -- Decision analysis -- Utility and decision making -- Forecasting -- Linear programming: the graphical method -- Linear programming: Sensitivity analysis and computer solution -- Linear programming applications -- Linear programming: the simplex method -- Transportation, assignment and transshipment problems -- Integer linear programming -- Project management: PERT/CPM -- Inventory models -- Computer simulation -- Waiting-line models -- Multicriteria decision problems -- Epilogue: Quantitative methods and computer-based information systems.

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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