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Microcomputer software for management science and operations management 2nd ed

Microcomputer software for management science and operations management 2nd ed

자료유형
단행본
개인저자
Render, Barry.
서명 / 저자사항
Microcomputer software for management science and operations management / Barry Render ... [et al.].
판사항
2nd ed.
발행사항
Boston :   Allyn and Bacon,   c1989.  
형태사항
xii, 285 p. : Ill. ; 24 cm..
ISBN
0205119700
일반주기
Includes one 5.25" disk.  
Rev. ed. of: Microcomputer software for management science and operations management / Barry Render, Ralph M. Stair. c1986.  
일반주제명
Management science --Computer programs. Operations research --Computer programs.
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001 000000631764
005 19990208163722.0
008 881201s1989 maua 00000 eng d
010 ▼a 88034407
020 ▼a 0205119700
040 ▼a 211048 ▼c 211048 ▼d 211009
049 1 ▼l 421112282 ▼f 과개
050 0 0 ▼a T56.24 ▼b .M53 1989
082 0 0 ▼a 658.4/038 ▼2 19
090 ▼a 658.4038 ▼b M626-2
245 0 0 ▼a Microcomputer software for management science and operations management / ▼c Barry Render ... [et al.].
250 ▼a 2nd ed.
260 0 ▼a Boston : ▼b Allyn and Bacon, ▼c c1989.
300 ▼a xii, 285 p. : ▼b Ill. ; ▼c 24 cm..
500 ▼a Includes one 5.25" disk.
500 ▼a Rev. ed. of: Microcomputer software for management science and operations management / Barry Render, Ralph M. Stair. c1986.
650 0 ▼a Management science ▼x Computer programs.
650 0 ▼a Operations research ▼x Computer programs.
700 1 0 ▼a Render, Barry.

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 658.4038 M626-2 등록번호 421112282 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

책소개

College level textbook and software package. For future managers who wish to understand the role of computers in quantitative analysis of management-science and operations-management problems. No index. No bibliography. Annotation copyright Book News, Inc. Portland, Or.


정보제공 : Aladin

저자소개

Ralph M. Stair(지은이)

<정보시스템의 이해>

Barry Render(지은이)

루스벨트대학교에서 수학과 물리학 학사학위를 취득하고 신시내티대학교에서 운영연구로 석사학위를, 정량분석으로 박사학위를 취득했다. 조지워싱턴대학교, 뉴올리언스대학교, 보스턴대학교, 조지메이슨대학교에서 강의했으며, 메이슨재단(Mason Foundation)에서 의사결정과학부서의 회장과 교수직을 역임했다. 또한 제너럴일렉트릭(General Electric), 맥도널더글러스(McDonnell Douglas), NASA 우주항공 분야에서 일한 바 있으며, 현재는 플로리다주 윈터파크에 위치한 롤린스칼리지 크러머경영대학원의 운영 관리 명예교수이다.

Mohsen Attaran(지은이)

William Foeller(지은이)

정보제공 : Aladin

목차


CONTENTS
Preface = xi
1 Introduction to the Use of Microcomputers in Management Science and Operations Management = 1
 1.1 Introduction = 1
 1.2 Organization of the Book = 1
 1.3 General Information = 2
 1.4 Installation and Setup = 3
 1.5 A Review of Program Features = 5
 1.6 Common Errors / Cautions / Problems = 12
 1.7 Using One of the Programs = 13
 1.8 The Techniques Contained on the Disk = 18
2 Linear Programming = 25
 2.1 Introduction = 25
 2.2 Description of the Program = 26
 2.3 How to Prepare Input Data = 26
 2.4 Editing the Data = 27
 2.5 Program Output = 28
 2.6 Sample Problems = 30
 2.7 Problems to Solve = 43
3 Transportation Models = 51
 3.1 Introduction = 51
 3.2 Description of the Progam = 52
 3.3 How to Prepare Input Data = 52
 3.4 Editing the Data = 53
 3.5 Program Output = 53
 3.6 Sample Problems = 54
 3.7 Problems to Solve = 58
4 Assignment Models = 65
 4.1 Introduction = 65
 4.2 Description of the Program = 65
 4.3 How to Prepare Input Data = 65
 4.4 Editing the Data = 66
 4.5 Program Output = 67
 4.6 Sample Problems = 67
 4.7 Problems to Solve = 75
5 Forecasting = 79
 5.1 Introduction = 79
 5.2 Description of the Program = 80
 5.3 How to Prepare Input Data = 81
 5.4 Editing the Data = 82
 5.5 Program Output = 84
 5.6 Sample Problems = 85
 5.7 Problems to Solve = 94
6 Inventory Control = 99
 6.1 Introduction = 99
 6.2 Description of the Program = 101
 6.3 How to Prepare Input Data = 101
 6.4 Editing the Data = 103
 6.5 Program Output = 105
 6.6 Sample Problems = 106
 6.7 Problems to Solve = 114
7 Similation of Inventory Problems = 117
 7.1 Introduction = 117
 7.2 Description of the Program = 119
 7.3 How to Prepare Input Data = 119
 7.4 Editing the Data = 121
 7.5 Program Output = 122
 7.6 Sample Problems = 123
 7.7 Problems to Solve = 128
8 Expected Monetary Value = 131
 8.1 Introduction = 131
 8.2 Description of the Program = 131
 8.3 How to prepare Input Data = 132
 8.4 Editing the Data = 132
 8.5 Program Output = 133
 8.6 Sample Problems = 134
 8.7 Problems to Solve = 135
9 Queuing Models = 141
 9.1 Introduction = 141
 9.2 Description of the Program = 143
 9.3 How to Prepare Input Data = 144
 9.4 Editing the Data = 145
 9.5 Program Output = 146
 9.6 Sample Problems = 146
 9.7 Problems to Solve = 150
10 Program Evaluation and Review Technique = 157
 10.1 Introduction = 157
 10.2 Description of the Program = 157
 10.3 How to Prepare Input Data = 158
 10.4 Editing the Data = 159
 10.5 Program Output = 161
 10.6 Sample Problems = 161
 10.7 Problems to Solve = 169
11 Markov Analysis = 177
 11.1 Introduction = 177
 11.2 Description of the Program = 178
 11.3 How to Prepare Input Data = 179
 11.4 Editing the Data = 180
 11.5 Program Output = 181
 11.6 Sample Problems = 182
 11.7 Problems to Solve = 190
12 Game Theory = 195
 12.1 Introduction = 195
 12.2 Description of the Program = 196
 12.3 How to Prepare Input Data = 196
 12.4 Editing the Data = 197
 12.5 Program Output = 198
 12.6 Sample Problems = 198
 12.7 Problems to Solve = 202
13 Quality control = 205
 13.1 Introduction = 205
 13.2 Description of the program = 205
 13.3 How to Prepare Input Data = 206
 13.4 Editing the Data = 207
 13.5 Program Output = 208
 13.6 Sample Problems = 208
 13.7 problems to Solve = 212
14 Aggregate Planning = 215
 14.1 Introduction = 215
 14.2 Description of the program = 215
 14.3 How to Prepare Input Data = 216
 14.4 Editing the Data = 217
 14.5 Program Output = 217
 14.6 Sample Problems = 218
 14.7 Problems to Solve = 223
15 Assembly-Line Balancing = 227
 15.1 Introduction = 227
 15.2 Description of the Program = 228
 15.3 How to Prepare Input Data = 228
 15.4 Editing the Data = 229
 15.5 Program Output = 230
 15.6 Sample Problems = 231
 15.7 Problems to Solve = 234
16 Time Studies = 239
 16.1 Introduction = 239
 16.2 Description of the Program = 240
 16.3 How to Prepare Input Data = 240
 16.4 Editing the Data = 241
 16.5 Program Output = 242
 16.6 Sample Problems = 242
 16.7 Problems to Solve = 245
17 Multi-Factor Decision Making = 249
 17.1 Introduction = 249
 17.2 Description of the Program = 250
 17.3 How to Prepare Input Data = 251
 17.4 Editing the Data = 252
 17.5 program Output = 255
 17.6 Sample Problems = 256
 17.7 Problems to Solve = 265
Solutions to Problems = 269


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