Applied operational research with SAS:
"Using a wide range of operational research (OR) optimization examples, Applied Operational Research with SAS demonstrates how the OR procedures in SAS work. The book is one of the first to extensively cover the application of SAS procedures to OR problems, such as single criterion optimization...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, Fla. [u.a.]
CRC Press
2012
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | "Using a wide range of operational research (OR) optimization examples, Applied Operational Research with SAS demonstrates how the OR procedures in SAS work. The book is one of the first to extensively cover the application of SAS procedures to OR problems, such as single criterion optimization, project management decisions, printed circuit board assembly, and multiple criteria decision making.The text begins with the algorithms and methods for linear programming, integer linear programming, and goal programming models. It then describes the principles of several OR procedures in SAS. Subsequent chapters explain how to use these procedures to solve various types of OR problems. Each of these chapters describes the concept of an OR problem, presents an example of the problem, and discusses the specific procedure and its macros for the optimal solution of the problem. The macros include data handling, model building, and report writing.While primarily designed for SAS users in OR and marketing analytics, the book can also be used by readers interested in mathematical modeling techniques. By formulating the OR problems as mathematical models, the authors show how SAS can solve a variety of optimization problems"-- |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | XIV, 270 S. graph. Darst. 25 cm |
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| 520 | 8 | |a "Using a wide range of operational research (OR) optimization examples, Applied Operational Research with SAS demonstrates how the OR procedures in SAS work. The book is one of the first to extensively cover the application of SAS procedures to OR problems, such as single criterion optimization, project management decisions, printed circuit board assembly, and multiple criteria decision making.The text begins with the algorithms and methods for linear programming, integer linear programming, and goal programming models. It then describes the principles of several OR procedures in SAS. Subsequent chapters explain how to use these procedures to solve various types of OR problems. Each of these chapters describes the concept of an OR problem, presents an example of the problem, and discusses the specific procedure and its macros for the optimal solution of the problem. The macros include data handling, model building, and report writing.While primarily designed for SAS users in OR and marketing analytics, the book can also be used by readers interested in mathematical modeling techniques. By formulating the OR problems as mathematical models, the authors show how SAS can solve a variety of optimization problems"-- | |
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Datensatz im Suchindex
| _version_ | 1804149185032749056 |
|---|---|
| adam_text | Titel: Applied operational research with SAS
Autor: Emrouznejad, Ali
Jahr: 2012
Contents
Preface.................................:.................................................................................xiii
1. Operational Research, Algorithms, and Methods...................................1
1.1 Linear Programming............................................................................1
1.1.1 Simplex Method.......................................................................5
1.1.2 Revised Simplex Method........................................................5
1.1.3 Dantzig-Wolfe Decomposition Algorithm..........................6
1.1.4 Karmarkar Interior Point Algorithm....................................6
1.1.5 Duality.......................................................................................6
1.1.6 Sensitivity Analysis.................................................................7
1.2 Integer Linear Programming..............................................................7
1.2.1 Branch-and-Bound Algorithm...............................................8
1.2.2 Cutting Plane Algorithm........................................................9
1.3 Goal Programming...............................................................................9
1.3.1 Weights Method.....................................................................10
1.3.2 Preemptive Method...............................................................10
1.4 SAS for Operational Research...........................................................11
1.4.1 SAS/OR®..................................................................................12
1.4.2 Example of Using PROC OPTMODEL...............................13
1.4.2.1 An Introductory Example.....................................14
1.4.2.2 Basic PROC OPTMODEL......................................16
1.4.2.3 Set and Indexing in PROC OPTMODEL............19
1.4.2.4 Advanced Options in PROC OPTMODEL.........21
1.4.3 Other Procedures in SAS/OR®.............................................24
1.4.3.1 PROCOPTLP..........................................................24
1.4.3.2 PROC OPTMILP.....................................................24
1.4.3.3 PROC OPTQP.........................................................24
1.4.3.4 PROC INTPOINT...................................................24
1.4.3.5 PROCCPM..............................................................25
1.4.3.6 PROCPM.................................................................25
1.4.3.7 PROC GANTT........................................................26
1.4.3.8 PROC DTREE..........................................................26
1.4.3.9 PROCGA.................................................................26
1.4.3.10 PROC BOM..............................................................26
2. Transportation Models................................................................................29
2.1 Transportation Problem.....................................................................29
2.1.1 Concept of Transportation Problem....................................29
2.1.2 Example of Transportation Problem...................................30
2.1.3 ORTRANS: SAS Code for Transportation Problem..........32
2.1.4 ORTRANS Data-Handling Macro (%data)........................33
2.1.5 ORTRANS: Model-Building Macro (%model)...................34
2.1.6 ORTRANS: Report-Writing Macro (%report)....................35
2.1.7 ORTRANS: Macro (%ortrans)..............................................36
2.1.8 Instructions for Using ORTRANS Macro...........................36
2.1.9 Sample Results from ORTRANS Macro:
Output from SAS....................................................................37
2.1.10 Exercise....................................................................................38
2.2 Assignment Problem..........................................................................39
2.2.1 Concept of Assignment Problem.........................................39
2.2.2 Example of Assignment Problem........................................40
2.2.3 ORASSIGN: SAS Code for Assignment Problem..............42
2.2.4 ORASSIGN: Data-Handling Macro (%data)......................43
2.2.5 ORASSIGN: Model-Building Macro (%model)..................44
2.2.6 ORASSIGN: Report-Writing Macro (%report)...................45
2.2.7 ORASSIGN: Macro (%orassign)...........................................46
2.2.8 Instructions for Using ORASSIGN Macro.........................46
2.2.9 Sample Results from ORASSIGN Macro:
Output from SAS....................................................................47
2.2.10 Exercise....................................................................................47
2.3 Transshipment Problem.....................................................................50
2.3.1 Concept of Transshipment Problem....................................50
2.3.2 Example of Transshipment Problem...................................51
2.3.3 ORTRANS: SAS Code for Transshipment Problem..........54
2.3.4 Sample Results from ORTRANS Macro:
Output from SAS....................................................................55
2.3.5 Exercise....................................................................................56
3. Network Models...........................................................................................59
3.1 Minimum-Cost Capacitated Flow Problem....................................59
3.1.1 Concept of Minimum-Cost Capacitated
Flow Problem................................................................59
3.1.2 Example of Minimum-Cost Capacitated
Flow Problem...................................................................61
3.1.3 ORMCFLOW: SAS Code for Minimum-Cost
Capacitated Flow Problem....................................................64
3.1.4 ORMCFLOW: Data-Handling Macro (%data)...................65
3.1.5 ORMCFLOW: Model-Building Macro (%model)..............66
3.1.6 ORMCFLOW: Report-Writing Macro (%report)................66
3.1.7 ORMCFLOW: Macro (%ormcflow)......................................67
3.1.8 Instructions for Using ORMCFLOW Macro......................67
3.1.9 Sample Results from ORMCFLOW Macro:
Output from SAS....................................................................68
3.1.10 Exercise....................................................................................69
3.2 Maximum Flow Problem...................................................................71
3.2.1 Concept of Maximum Flow Problem..................................71
3.2.2 Example of Maximum Flow Problem.................................72
3.2.3 ORMAXFLOW: SAS Code for Maximum
Flow Problem......................................................................75
3.2.4 Sample Results from ORMAXFLOW Macro:
Output from SAS....................................................................78
3.2.5 Exercise....................................................................................79
3.3 Shortest Path Problem........................................................................ 81
3.3.1 Concept of Shortest Path Problem.......................................81
3.3.2 Example of Shortest Path Problem......................................82
3.3.3 ORSHORTPATH: SAS Code for Shortest
Path Problem....................................................................84
3.3.4 Sample Results from ORSHORTPATH Macro:
Output from SAS....................................................................86
3.3.5 Exercise....................................................................................87
4. Project Scheduling.......................................................................................89
4.1 Critical Path Analysis.........................................................................89
4.1.1 Concept of Critical Path Analysis........................................89
4.1.2 Example of Critical Path Analysis.......................................90
4.1.3 ORCPM: SAS Code for Critical Path Analysis...................92
4.1.4 ORCPM: Data-Handling Macro (%data)............................93
4.1.5 ORCPM: Model-Building Macro (%model)........................94
4.1.6 ORCPM: Report-Writing Macro (%report).........................95
4.1.7 ORCPM: Macro (%orcpm)....................................................95
4.1.8 Instructions for Using ORCPM Macro...............................96
4.1.9 Sample Results from ORCPM Macro:
Output from SAS.............................................................96
4.1.10 Exercise....................................................................................97
4.2 Program Evaluation and Review Technique (PERT).....................98
4.2.1 Concept of PERT....................................................................98
4.2.2 Example of PERT....................................................................99
4.2.3 ORPERT: SAS Code for PERT.............................................100
4.2.4 Sample Results from ORPERT Macro:
Output from SAS..................................................................102
4.2.5 Exercise..................................................................................104
5. Layout Decision..........................................................................................107
5.1 Assembly Line-Balancing Problem...............................................107
5.1.1 Concept of Assembly Line-Balancing Problem..............107
5.1.2 Example of Assembly Line-Balancing Problem.............109
5.1.3 ORALBP: SAS Code for Assembly Line-Balancing
Problem.................................................................................112
5.1.4 ORALBP: Data-Handling Macro (%data).........................113
5.1.5 ORALBP: Model-Building Macro (%model)....................114
5.1.6 ORALBP: Report-Writing Macro (%report)......................116
5.1.7 ORALBP: Macro (%oralbp).................................................116
5.1.8 Instructions for Using ORALBP Macro............................117
5.1.9 Sample Results from ORALBP Macro:
Output from SAS..................................................................117
5.1.10 Exercise..................................................................................118
6. Traveling Salesman Problem...................................................................121
6.1 Traveling Salesman Problem (TSP).................................................121
6.1.1 Concept of TSP.....................................................................121
6.1.2 Example of TSP.....................................................................122
6.1.3 ORTSP: SAS Code for TSP..................................................125
6.1.4 ORTSP: Data-Handling Macro (%data)............................126
6.1.5 ORTSP: Model-Building Macro (%model)........................127
6.1.6 ORTSP: Report-Writing Macro (%report).........................127
6.1.7 ORTSP: Macro (%ortsp).......................................................128
6.1.8 Instructions for Using ORTSP Macro...............................128
6.1.9 Sample Results from ORTSP Macro:
Output from SAS...............................................................128
6.1.10 Exercise..................................................................................129
7. Printed Circuit Board Production Planning.........................................131
7.1 Printed Circuit Board (PCB) Assembly Line
Assignment Problem.........................................................................131
7.1.1 Concept of PCB Assembly Line
Assignment Problem...............................................131
7.1.2 Example of PCB Assembly Line
Assignment Problem.................................................134
7.1.3 ORALA: SAS Code for PCB Assembly Line
Assignment Problem...........................................................135
7.1.4 ORALA: Data-Handling Macro (%data)..........................136
7.1.5 ORALA: Model-Building Macro (%model)...................... 137
7.1.6 ORALA: Report-Writing Macro (%report).......................139
7.1.7 ORALA: Macro (%orala).....................................................139
7.1.8 Instructions for Using ORALA Macro..............................140
7.1.9 Sample Results from ORALA Macro:
Output from SAS..............................................................140
7.1.10 Exercise..................................................................................141
7.2 PCB Component Allocation Problem.............................................143
7.2.1 Concept of PCB Component Allocation Problem...........143
7.2.2 Example of PCB Component Allocation Problem...........145
7.2.3 ORCAP: SAS Code for PCB Component
Allocation Problem..............................................................147
7.2.4 ORCAP: Data-Handling Macro (%data)...........................147
7.2.5 ORCAP: Model-Building Macro (%model)......................148
7.2.6 ORCAP: Report-Writing Macro (%report)........................150
7.2.7 ORCAP: Macro (%orcap).....................................................150
7.2.8 Instruction for Using ORCAP Macro................................151
7.2.9 Sample Results from ORCAP Macro: Output
from SAS................................................................................151
7.2.10 Exercise..................................................................................152
7.3 PCB Component-Sequencing Problem for PAP Machines..........153
7.3.1 Concept of PCB Component-Sequencing Problem.........153
7.3.2 Example of PCB Component-Sequencing Problem........157
7.3.3 ORCSP: SAS Code for PCB Component-Sequencing
Problem.................................................................................159
7.3.4 ORCSP: Data-Handling Macro (%data)............................160
7.3.5 ORCSP: Model-Building Macro (%model).......................161
7.3.6 ORCSP: Report-Writing Macro (%report).........................164
7.3.7 ORCSP: Macro (%orcsp)......................................................164
7.3.8 Instructions for Using ORCSP Macro...............................165
7.3.9 Sample Results from ORCSP Macro:
Output from SAS.........................................................165
7.3.10 Exercise..................................................................................166
8. Multiple-Criteria Decision Making.......................................................169
8.1 Multiple-Criteria Logistics Distribution Problem: Phase 1........169
8.1.1 Concept of Multiple-Criteria Logistics
Distribution Problem...........................................................169
8.1.2 Concept of AHP...................................................................170
8.1.3 Example of AHP...................................................................171
8.1.4 ORAHP: SAS Code for AHP..............................................172
8.1.5 ORAHP: Data-Handling Macro (%data)..........................173
8.1.6 ORAHP: Model-Building Macro (%model).....................176
8.1.7 ORAHP: Report-Writing Macro (%reportl and
%report2)...............................................................................179
8.1.8 ORAHP: Macro (%orahp)...................................................180
8.1.9 Instructions for Using ORAHP Macro.............................181
8.1.10 Sample Results from ORAHP Macro:
Output from SAS............................................................181
8.1.11 Exercise..................................................................................183
8.2 Multiple-Criteria Logistics Distribution Problem: Phase 2........184
8.2.1 Example of Multiple-Criteria Logistics
Distribution Problem...........................................................184
8.2.2 ORMCDM: SAS Code for Multiple-Criteria Logistics
Distribution Problem...........................................................191
8.2.3 ORMCDM: Data-Handling Macro (%data)......................192
8.2.4 ORMCDM: Model-Building Macro (%model).................193
8.2.5 ORMCDM: Report-Writing Macro (%report)..................196
8.2.6 ORMCDM: Macro (%ormcdm)..........................................196
8.2.7 Instructions for Using ORMCDM Macro.........................197
8.2.8 Sample Results from ORMCDM Macro:
Output from SAS..................................................................197
8.2.9 Exercise..................................................................................199
9. Decision Making and Efficiency Measurement...................................205
9.1 Ordered Weighted Averaging (OWA) Operators and
Preference Ranking...........................................................................205
9.1.1 Concept of OWA...................................................................205
9.1.2 Example of OWA..................................................................207
9.1.3 OROWA: SAS Code for OWA.............................................208
9.1.4 OROWA: Data-Handling Macro (%data)..........................208
9.1.5 OROWA: Model-Building Macro (%model).....................210
9.1.6 OROWA: Report-Writing Macro (%report)......................211
9.1.7 OROWA: Macro (%orowa)..................................................213
9.1.8 Instructions for Using OROWA Macro.............................213
9.1.9 Sample Results from OROWA Macro:
Output from SAS..................................................................214
9.1.10 Exercise..................................................................................214
9.2 Efficiency Measurement Using Data Envelopment Analysis
(DEA)...................................................................................................217
9.2.1 Concept of DEA....................................................................217
9.2.2 Example of DEA...................................................................219
9.2.3 ORDEA: SAS Code for DEA...............................................220
9.2.4 ORDEA: Data-Handling Macro (%data)...........................221
9.2.5 ORDEA: Model-Building Macro (%model)......................222
9.2.6 ORDEA: Report-Writing Macro (%report).......................225
9.2.7 ORDEA: Macro (%ordea)....................................................227
9.2.8 Instructions for Using ORDEA Macro..............................227
9.2.9 Sample Results from ORDEA Macro:
Output from SAS..............................................................228
9.2.10 Exercise..................................................................................228
9.3 Productivity Measurement Using Malmquist Index...................230
9.3.1 Concept of Malmquist Index..............................................230
9.3.2 Example of Malmquist Index.............................................234
9.3.3 ORMALM: SAS Code for Malmquist Index....................236
9.3.4 ORMALM: Data-Handling Macro (%data)......................237
9.3.5 ORMALM: Model-Building Macro (%model_
outOri)...................................................................................239
9.3.6 ORMALM: Report-Writing Macro (%report)...................241
9.3.7 ORMALM: Macro (%ormalm)...........................................242
9.3.8 Instructions for Using ORMALM Macro.........................243
9.3.9 Sample Results from ORMALM Macro:
Output from SAS..................................................................243
9.3.10 Exercise..................................................................................244
Appendices..........................................................................................................247
References...........................................................................................................261
Index.....................................................................................................................265
|
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| author | Emrouznejad, Ali Ho, William |
| author_facet | Emrouznejad, Ali Ho, William |
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| author_sort | Emrouznejad, Ali |
| author_variant | a e ae w h wh |
| building | Verbundindex |
| bvnumber | BV040157067 |
| classification_rvk | QH 420 |
| ctrlnum | (OCoLC)796250291 (DE-599)BVBBV040157067 |
| discipline | Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV040157067 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:19:00Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025013692 |
| oclc_num | 796250291 |
| open_access_boolean | |
| owner | DE-945 |
| owner_facet | DE-945 |
| physical | XIV, 270 S. graph. Darst. 25 cm |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | CRC Press |
| record_format | marc |
| spelling | Emrouznejad, Ali Verfasser aut Applied operational research with SAS Ali Emrouznejad ; William Ho Boca Raton, Fla. [u.a.] CRC Press 2012 XIV, 270 S. graph. Darst. 25 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index "Using a wide range of operational research (OR) optimization examples, Applied Operational Research with SAS demonstrates how the OR procedures in SAS work. The book is one of the first to extensively cover the application of SAS procedures to OR problems, such as single criterion optimization, project management decisions, printed circuit board assembly, and multiple criteria decision making.The text begins with the algorithms and methods for linear programming, integer linear programming, and goal programming models. It then describes the principles of several OR procedures in SAS. Subsequent chapters explain how to use these procedures to solve various types of OR problems. Each of these chapters describes the concept of an OR problem, presents an example of the problem, and discusses the specific procedure and its macros for the optimal solution of the problem. The macros include data handling, model building, and report writing.While primarily designed for SAS users in OR and marketing analytics, the book can also be used by readers interested in mathematical modeling techniques. By formulating the OR problems as mathematical models, the authors show how SAS can solve a variety of optimization problems"-- SAS (Computer file) Operations research / Data processing BUSINESS & ECONOMICS / Operations Research bisacsh TECHNOLOGY & ENGINEERING / Operations Research bisacsh Datenverarbeitung Wirtschaft Optimierung (DE-588)4043664-0 gnd rswk-swf SAS Programm (DE-588)4195685-0 gnd rswk-swf Operations Research (DE-588)4043586-6 gnd rswk-swf Operations Research (DE-588)4043586-6 s Optimierung (DE-588)4043664-0 s SAS Programm (DE-588)4195685-0 s b DE-604 Ho, William Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025013692&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Emrouznejad, Ali Ho, William Applied operational research with SAS SAS (Computer file) Operations research / Data processing BUSINESS & ECONOMICS / Operations Research bisacsh TECHNOLOGY & ENGINEERING / Operations Research bisacsh Datenverarbeitung Wirtschaft Optimierung (DE-588)4043664-0 gnd SAS Programm (DE-588)4195685-0 gnd Operations Research (DE-588)4043586-6 gnd |
| subject_GND | (DE-588)4043664-0 (DE-588)4195685-0 (DE-588)4043586-6 |
| title | Applied operational research with SAS |
| title_auth | Applied operational research with SAS |
| title_exact_search | Applied operational research with SAS |
| title_full | Applied operational research with SAS Ali Emrouznejad ; William Ho |
| title_fullStr | Applied operational research with SAS Ali Emrouznejad ; William Ho |
| title_full_unstemmed | Applied operational research with SAS Ali Emrouznejad ; William Ho |
| title_short | Applied operational research with SAS |
| title_sort | applied operational research with sas |
| topic | SAS (Computer file) Operations research / Data processing BUSINESS & ECONOMICS / Operations Research bisacsh TECHNOLOGY & ENGINEERING / Operations Research bisacsh Datenverarbeitung Wirtschaft Optimierung (DE-588)4043664-0 gnd SAS Programm (DE-588)4195685-0 gnd Operations Research (DE-588)4043586-6 gnd |
| topic_facet | SAS (Computer file) Operations research / Data processing BUSINESS & ECONOMICS / Operations Research TECHNOLOGY & ENGINEERING / Operations Research Datenverarbeitung Wirtschaft Optimierung SAS Programm Operations Research |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025013692&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT emrouznejadali appliedoperationalresearchwithsas AT howilliam appliedoperationalresearchwithsas |