Engineering production control strategies: a guide to Tailor strategies that unite the merits of push and pull
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Heidelberg [u.a.]
Springer
2012
|
| Series: | Management for Professionals
|
| Subjects: | |
| Online Access: | Inhaltstext Inhaltsverzeichnis |
| Physical Description: | X, 176 S. Ill., graph. Darst. 235 mm x 155 mm |
| ISBN: | 9783642241413 9783642241420 3642241417 |
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Record in the Search Index
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| adam_text |
IMAGE 1
CONTENTS
1 INTRODUCTION 1
1.1 NEED FOR A PCS ENGINEERING FRAMEWORK 1
1.2 SUITABLE INDUSTRIAL CONTEXT FOR APPLICATION 2
1.3 STRUCTURE OF THE BOOK 3
2 PRODUCTION CONTROL STRATEGIES (PCS) 7
2.1 FUNDAMENTAL CONCEPTS AND COHERENCES 7
2.1.1 PCS IN THE BROADER CONTEXT O F PRODUCTION PLANNING AND CONTROL 7
2.1.2 THE PUSH/PULL ENIGMA AND THEIR BASIC IMPLEMENTATIONS 8 2.1.3 THE
ORDER PENETRATION POINT 12
2.1.4 THE INFLUENCE OF THE PCS ON OPERATIONAL PERFORMANCE 12
2.2 REVIEW O F CURRENT RESEARCH ON PCS 15
2.2.1 SEGMENTATION OF LITERATURE 15
2.2.2 PCS METHOD DEVELOPMENT 16
2.2.3 PCS SELECTION 27
2.2.4 PCS IMPLEMENTATION 32
2.2.5 RELATED DESIGN QUESTIONS 33
2.3 SYNTHESIS AND POSITIONING O F THE FOLLOWING WORK 35
3 A QUEUING NETWORK BASED FRAMEWORK FOR PCS ENGINEERING 37
3.1 DESIGN DRIVERS AND INITIAL COMPLEXITY REDUCTION 37
3.1.1 .STRUCTURING DESIGN DRIVERS 37
3.1.2 COMPLEXITY REDUCTION BY DEFINING PLANNING SEGMENTS 38 3.2 GENERIC
MODEL FORMULATION 41
3.2.1 NOTATION 41
3.2.2 QUEUING NETWORK REPRESENTATION O F PLANNING SEGMENTS 41 3.2.3
BASIC PROPERTIES 44
3.2.4 ANALYSIS O F THE RESULTING SOLUTION SPACE 4 6
V I I
HTTP://D-NB.INFO/1014484049
IMAGE 2
VIII CONTENTS
3.3 MAPPING PRODUCTION SYSTEM VARIABILITY 48
3.3.1 AN INTEGRATED APPROACH TO STOCHASTIC MODELING O F PRODUCTION
SYSTEM VARIABILITY 48
3.3.2 DEFINITION O F A MEASURE FOR PRODUCTION SYSTEM VARIABILITY . . .
51 3.4 MAPPING O F DEMAND VARIABILITY 53
3.4.1 STOCHASTIC MODELING OF DEMAND VARIABILITY 53
3.4.2 EXCURSION: POSSIBLE INVOLVEMENT O F CUSTOMERS 57
4 NUMERICAL OPTIMIZATION OF CONTROL PARAMETERS ALONG A PCS ENGINEERING
PROCESS 59
4.1 OBJECTIVE FUNCTION DESIGN 59
4.1.1 SELECTION O F VALUATION MEASURES 59
4.1.2 VALUE ANALYSIS 60
4.2 IMPLEMENTATION O F A SUPPORTING SIMULATION FRAMEWORK 65
4.2.1 INTRODUCTION TO DISCRETE-EVENT SIMULATION AND THE PLATFORM
'ANYLOGIC' 65
4.2.2 IMPLEMENTATION OF PLANNING SEGMENTS 67
4.2.3 IMPLEMENTATION OF THE DEMAND MODEL 69
4.2.4 IMPLEMENTATION OF THE PRODUCTION SYSTEM MODEL 7 0
4.3 A PCS ENGINEERING PROCESS TO OPTIMIZE PRODUCTION CONTROL PARAMETERS
72
4.3.1 APPROACH AND PROCESS OVERVIEW 72
4.3.2 STEP 1 - KI DETERMINATION 75
4.3.3 STEP 2 - OPPJ DETERMINATION 78
4.3.4 STEP 3 - FCTJ AND SJJ DETERMINATION 79
5 INVESTIGATION OF THE PUSH/PULL INTEGRATION 85
5.1 INFLUENCING FACTORS AND RULES FOR THE DECISION AMONG PUSH AND PULL
85
5.1.1 HYPOTHESIS AND EXPERIMENT DESIGN 85
5.1.2 DETERMINATION O F RELEVANT FACTORS AND DERIVATION O F DECISION
RULES 88
5.2 CLOSED-FORM DETERMINATION O F THE PUSH/PULL INTEGRATION PARAMETERS
FCT* AND S%* 90
5.2.1 HYPOTHESIS AND EXPERIMENT DESIGN 90
5.2.2 DERIVATION O F A CLOSED-FORM PARAMETERIZATION FOR HYBRID CONTROL 9
2
5.2.3 EXTENSION TO THE MULTI-PRODUCT CASE 95
5.3 ANALYSIS OF THE PERFORMANCE INCREASE ACHIEVABLE WITH THE HYBRID
STRATEGY 9 6
5.3.1 DRIVERS FOR THE RELEVANCE O F THE DECISION AMONG HYBRID AND PURE
STRATEGIES 9 6
5.3.2 DERIVATION O F A DEMAND VARIABILITY MEASURE TO CHARACTERIZE
ENVIRONMENTS THAT FAVOR HYBRID STRATEGIES 99
5.4 SUMMARY OF INSIGHTS 101
IMAGE 3
CONTENTS IX
6 CASE STUDY FROM THE ELECTRONICS MANUFACTURING INDUSTRY 103
6.1 CASE INTRODUCTION AND SPECIFIC CHALLENGES 103
6.1.1 INTRODUCTION TO THE BUSINESS AND MANUFACTURING PROCESS 103 6.1.2
IDENTIFICATION OF THE IMPROVEMENT NEED AND SPECIFIC CHALLENGES 104
6.2 MODEL DEVELOPMENT AND PARAMETERIZATION 106
6.2.1 PRODUCTION SYSTEM MODEL 106
6.2.2 PARAMETERIZATION O F PLANNING SEGMENTS 107
6.2.3 PARAMETERIZATION OF THE DEMAND MODEL 108
6.3 PCS DESIGN 109
6.3.1 STRATEGY DERIVATION 109
6.3.2 IMPACT EVALUATION I L L
6.4 IMPLICATIONS AND IMPLEMENTATION HINTS 114
7 CONCLUSION AND FURTHER RESEARCH 117
7.1 RESEARCH SUMMARY 117
7.2 LIMITATIONS AND FURTHER RESEARCH DIRECTIONS 119
8 APPENDIX 121
8.1 LIST O F FIGURES 121
8.2 LIST OF TABLES 123
8.3 LIST OF ABBREVIATIONS 124
8.4 LIST O F NOTATIONS 125
8.5 COMPLEX PRODUCTION SYSTEMS 128
8.6 LITERATURE REVIEW 128
8.7 DELIMITATION AGAINST OTHER GENERIC PCS 133
8.8 EVOLUTION OF THE MAXIMUM SIZE REDUCTION OF THE SOLUTION SPACE 134
8.9 SIMULATION MODEL IMPLEMENTATION 135
8.9.1 PLANNING SEGMENT GRAPHICAL REPRESENTATION 135
8.9.2 DEMAND MODEL: GRAPHICAL REPRESENTATION 135
8.9.3 JAVA CODE EXECUTED AT FORECAST ARRIVAL (EVENT 'FCARRIVAL') 137
8.10 PCS ENGINEERING PROCESS: NUMERICAL OPTIMIZATION O F MODEL
PARAMETERS 138
8.10.1 SETUPS FOR EXPERIMENTS AND ILLUSTRATIONS 138
8.10.2' INFLUENCE O F OVER-CAPACITY ON THE MTF VERSUS MTS DECISION 139
8.10.3 CONVERTING UTILITY IMPROVEMENTS INTO WIP REDUCTIONS 141 8.11
INVESTIGATION O F THE PUSH/PULL INTEGRATION 142
8.11.1 GRAPHICAL REPRESENTATION O F EXPERIMENTAL SETUP IN ANY LOGIC 142
IMAGE 4
X CONTENTS
8.11.2 EXPERIMENTS AND RESULTS TO DETERMINE INFLUENCING
FACTORS FOR UPSTREAM CONTROL 147
8.11.3 EXPERIMENTS AND RESULTS TO DETERMINE CLOSED-FORM SOLUTIONS FOR
FCT* AND S%* 148
8.11.4 EXTENSION TO ARBITRARY FORECAST ERROR DISTRIBUTIONS 157 8.11.5
EXPERIMENTAL SETUP FOR THE EXTENSION TO THE MULTI-PRODUCT CASE 161
8.11.6 ANALYSIS O F DRIVERS FOR THE IMPACT MAGNITUDE 161
8.12 ANYLOGIC MODEL O F CASE STUDY 165
8.13 USED SOFTWARE PRODUCTS 169
8.14 ABOUT THE AUTHOR 170
REFERENCES 171 |
| any_adam_object | 1 |
| author | Karrer, Christoph |
| author_facet | Karrer, Christoph |
| author_role | aut |
| author_sort | Karrer, Christoph |
| author_variant | c k ck |
| building | Verbundindex |
| bvnumber | BV040105434 |
| classification_rvk | QP 500 |
| ctrlnum | (OCoLC)795584535 (DE-599)DNB1014484049 |
| dewey-full | 658.5 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.5 |
| dewey-search | 658.5 |
| dewey-sort | 3658.5 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Book |
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| language | English |
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| series2 | Management for Professionals |
| spelling | Karrer, Christoph Verfasser aut Engineering production control strategies a guide to Tailor strategies that unite the merits of push and pull Christoph Karrer Heidelberg [u.a.] Springer 2012 X, 176 S. Ill., graph. Darst. 235 mm x 155 mm txt rdacontent n rdamedia nc rdacarrier Management for Professionals Produktionssteuerung (DE-588)4076362-6 gnd rswk-swf Diskrete Simulation (DE-588)4258649-5 gnd rswk-swf Produktionssystem (DE-588)4138914-1 gnd rswk-swf Produktionssystem (DE-588)4138914-1 s Produktionssteuerung (DE-588)4076362-6 s Diskrete Simulation (DE-588)4258649-5 s b DE-604 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3869577&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024961891&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Karrer, Christoph Engineering production control strategies a guide to Tailor strategies that unite the merits of push and pull Produktionssteuerung (DE-588)4076362-6 gnd Diskrete Simulation (DE-588)4258649-5 gnd Produktionssystem (DE-588)4138914-1 gnd |
| subject_GND | (DE-588)4076362-6 (DE-588)4258649-5 (DE-588)4138914-1 |
| title | Engineering production control strategies a guide to Tailor strategies that unite the merits of push and pull |
| title_auth | Engineering production control strategies a guide to Tailor strategies that unite the merits of push and pull |
| title_exact_search | Engineering production control strategies a guide to Tailor strategies that unite the merits of push and pull |
| title_full | Engineering production control strategies a guide to Tailor strategies that unite the merits of push and pull Christoph Karrer |
| title_fullStr | Engineering production control strategies a guide to Tailor strategies that unite the merits of push and pull Christoph Karrer |
| title_full_unstemmed | Engineering production control strategies a guide to Tailor strategies that unite the merits of push and pull Christoph Karrer |
| title_short | Engineering production control strategies |
| title_sort | engineering production control strategies a guide to tailor strategies that unite the merits of push and pull |
| title_sub | a guide to Tailor strategies that unite the merits of push and pull |
| topic | Produktionssteuerung (DE-588)4076362-6 gnd Diskrete Simulation (DE-588)4258649-5 gnd Produktionssystem (DE-588)4138914-1 gnd |
| topic_facet | Produktionssteuerung Diskrete Simulation Produktionssystem |
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