An Introduction to Management Science
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- 해외주문도서는 고객님의 요청에 의해 주문하는 '개인 오더' 상품이기 때문에, 단순한 고객변심/착오로 인한 취소, 반품, 교환의 경우 '해외주문 반품/취소 수수료'를 부담하셔야 합니다. 이점 유의하여 주시기 바랍니다.
- 반품/취소 수수료:(1)서양도서-판매정가의 12%, (2)일본도서-판매정가의 7% (반품/취소 수수료는, 수입제반비용(FedEx수송비용, 관세사비, 보세창고료, 내륙 운송비, 통관비 등)과 재고리스크(미판매 리스크, 환차손)에 따른 비용을 포함하며, 서양도서는 판매정가의 12%, 일본도서는 판매정가의 7%가 적용됩니다.)
- 외국도서의 경우 해외제공정보로만 서비스되어 미표기가된 정보가 있을 수 있습니다. 필요한 정보가 있을경우 1:1 문의게시판 을 이용하여 주십시오.
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패키지
북카드
Dennis J. Sweeney is Professor of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. Born in Des Moines, Iowa, he earned BS and BA degrees from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow. Dr. Sweeney has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney served five years as Head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration at the University of Cincinnati. He has published more than 30 articles in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger, and Cincinnati Gas & Electric have funded his research, which has been published in MANAGEMENT SCIENCE, OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING, DECISION SCIENCES, and other journals. Professor Sweeney has coauthored ten textbooks in the areas of statistics, management science, linear programming, and production and operations management.
Jeffrey D. Camm is Professor of Quantitative Analysis and Head of the Department of Quantitative Analysis and Operations Management at the University of Cincinnati. Dr. Camm received his Ph.D. in Management Science from Clemson University. He has been at the University of Cincinnati since 1984, and has been a visiting scholar at Stanford University and a visiting professor of business administration at the Tuck School of Business at Dartmouth College. Dr. Camm has published over 30 papers in the general area of optimization applied to problems in operations management, and his research has been funded by the Air Force Office of Scientific Research, The Office of Naval Research, and the U.S. Department of Energy. At the University of Cincinnati, he was named the Dornoff Fellow of Teaching Excellence and he was the 2006 recipient of the INFORMS Prize for the Teaching of Operations Research Practice. He currently serves as editor-in-chief of Interfaces, and is on the editorial board of INFORMS Transactions on Education.
Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology (RIT). Born in Elmira, New York, he earned his BS degree at Clarkson University. He completed his graduate work at Rensselaer Polytechnic Institute, where he received his MS and PhD degrees. Before joining the College of Business at RIT, Professor Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the first undergraduate program in Information Systems. At RIT he was the first chair of the Decision Sciences Department. Professor Williams is the coauthor of 11 textbooks in the areas of management science, statistics, production and operations management, and mathematics. He has been a consultant for numerous Fortune 500 companies in areas ranging from the use of elementary data analysis to the development of large-scale regression models.
Gain a sound conceptual understanding of the role that management science plays in the decision-making process with the latest edition of the book that has defined today's management science course: Anderson/Sweeney/Williams/Camm/Martin's AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, REVISED 13th Edition. The trusted market leader for more than two decades, the new edition now prepares readers for success with the latest developments in Microsoft? Office Excel? 2010, including data sets, applications and screen visuals throughout that reflect Excel 2010. Readers learn from the book's proven applications-oriented approach, powerful examples, and problem-scenario approach that introduces each quantitative technique within an applications setting. Readers can get a copy of LINGO software and Excel add-ins with the book's online content. A copy of the popular Microsoft? Project? Professional 2010 accompanies the book on CD.
Provide your students with a sound conceptual understanding of the role that management science plays in the decision-making process with the latest edition of the book that has defined today's management science course: Anderson/Sweeney/Williams/Camm/Martin's AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, REVISED 13th Edition. The trusted market leader for more than two decades, the new edition of this text now reflects the latest developments in Microsoft Office Excel 2010. All data sets, applications and screen visuals throughout this REVISED 13th Edition reflect the details of Excel 2010 to accurately prepare your students to work with today's latest spreadsheet tools.The authors continue to provide unwavering accuracy with the book's proven applications-oriented approach and timely, powerful examples. The book's hallmark problem-scenario approach introduces each quantitative technique within an applications setting. Students must apply the management science model to generate solutions and recommendations for management. A comprehensive support package offers all the written and online time-saving support you need with trusted solutions written by the text authors to ensure accuracy. Students gain an understanding of today's most useful software applications with premium online content, including online chapters, LINGO software and Excel add-ins. Student even receive a copy of the popular Microsoft Project Professional 2010 on the text's accompanying CD. Trust the world leader AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, REVISED 13th Edition to provide the support your course and today's students need.
Provide your students with a sound conceptual understanding of the role that management science plays in the decision-making process with the latest edition of the book that has defined today's management science course: Anderson/Sweeney/Williams/Camm/Martin's AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, REVISED 13th Edition. The trusted market leader for more than two decades, the new edition of this text now reflects the latest developments in Microsoftr Office Excelr 2010. All data sets, applications and screen visuals throughout this REVISED 13th Edition reflect the details of Excel 2010 to accurately prepare your students to work with today's latest spreadsheet tools.The authors continue to provide unwavering accuracy with the book's proven applications-oriented approach and timely, powerful examples. The book's hallmark problem-scenario approach introduces each quantitative technique within an applications setting. Students must apply the management science model to generate solutions and recommendations for management. A comprehensive support package offers all the written and online time-saving support you need with trusted solutions written by the text authors to ensure accuracy. Students gain an understanding of today's most useful software applications with premium online content, including online chapters, LINGO software and Excel add-ins. Student even receive a copy of the popular Microsoftr Projectr Professional 2010 on the text's accompanying CD. Trust the world leader AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, REVISED 13th Edition to provide the support your course and today's students need.
작가정보
저자(글) Anderson, David R.
Cincinnati 경영대학의 정량분석 명예교수이다. North Dakota의 Grand Forks에서 태어났다. Purdue 대학에서 학사, 석사, 박사 학위를 받았다. 정량분석 및 운영관리 학과장과 Cincinnati 대학의 경영대학 부학장을 역임했으며 대학의 최초 Executive Program 코디네이터였다. Cincinnati 대학에서 통계학 입문 과정뿐만 아니라 대학원 수준의 회귀분석, 다변량 분석, 경영 과학을 가르쳤다. 더불어 워싱턴 D.C.의 노동부에서 통계학 과정을 가르쳤다. 강의에서의 탁월함과 학생 단체에 대한 봉사 측면에서 수상의 영광을 누렸다. 통계학, 경영학, 선형 프로그래밍, 생산 및 운영관리 분야에서 10권의 교과서를 공동 집필했으며 표본 추출 및 통계 방법 분야에서 탁월한 컨설턴트이다.
목차
Introduction An Introduction to Linear Programming Linear Programming: Sensitivity Analysis and Interpretation of Solution Linear Programming Applications in Marketing, Finance, and Operations Management Advanced Linear Programming Applications Distribution and Network Models Integer Linear Programming Nonlinear Optimization Models Project Scheduling: PERT/CPM Inventory Models Waiting Line Models Simulation Decision Analysis Multicriteria Decisions Forecasting Markov Processes Linear Programming: Simplex Method (on Website) Simplex-Based Sensitivity Analysis and Duality (on Website) Solution Procedures for Transportation (on Website) Minimal Spanning Tree (on Website) Dynamic Programming (on Website) Table of Contents provided by Publisher. All Rights Reserved.
기본정보
ISBN | 9781111532222 ( 1111532222 ) |
---|---|
발행(출시)일자 | 2011년 03월 04일 |
쪽수 | 896쪽 |
크기 |
206 * 257
* 41
mm
/ 1746 g
|
총권수 | 1권 |
언어 | 영어 |
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