An actor-based approach to commodity transport modelling:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Baden-Baden
Nomos
2006
|
| Ausgabe: | 1. Aufl. |
| Schriftenreihe: | Karlsruher Beiträge zur Wirtschaftspolitischen Forschung
20 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Zugl.: Karlsruhe, Techn. Univ., Diss., 2006 |
| Beschreibung: | 189 S. graph. Darst. 153 mm x 227 mm |
| ISBN: | 9783832921415 3832921419 |
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| 650 | 4 | |a Mathematisches Modell | |
| 650 | 4 | |a Freight and freightage |x Planning |x Mathematical models | |
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Datensatz im Suchindex
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|---|---|
| adam_text | Contents
Foreword of the editor 5
List of Figures 10
List of Tables 12
1 Introduction 13
1.1 Motivation 13
1.2 Overview 14
2 Characteristics of the freight transport market 15
2.1 Definitions related to transport and logistics 15
2.2 The freight transport market as a system 18
2.2.1 General system properties 19
2.2.2 Elements of of the freight transport system 20
2.2.3 Aggregation into sub systems 22
2.2.4 Operational patterns and transport logistics meso structures 26
2.3 Perceptions of transport goods 28
2.4 Synopsis 30
3 Transport modelling 31
3.1 Principles for transport modelling 31
3.1.1 Types of models 31
3.1.2 Goals of transport modelling 33
3.2 Macroscopic transport modelling 34
3.2.1 The classical 4 step model for passenger transport 34
3.2.2 Adaptations and extensions of the 4 step approach for freight
transport 36
3.3 Microscopic passenger transport modelling 47
3.3.1 The activity based approaches 47
3.3.2 Microscopic simulation approaches 48
3.3.3 Agent and rule based modelling 50
3.4 Existing approaches for microscopic behaviour modelling of freight
transport 51
3.4.1 Logistics models 51
3.4.2 Freight transport models with logistics components 53
3.4.3 Commercial traffic models for cities 57
3.5 Challenges in freight transport modelling 59
4 Principles of actor based freight transport modelling 61
4.1 Model guidelines 61
4.1.1 Scope of microscopic freight transport models 61
4.1.2 Market interactions and meso structures in the modelling 63
4.1.3 Synopsis 64
7
Contents
4.2 Shippers and recipients 65
4.2.1 Classification of the shippers 65
4.2.2 Logisticians decision strategies 68
4.3 Transport companies: carriers and forwarders 69
4.3.1 Classification of the transport companies 70
4.3.2 Tour planning problems 71
4.3.3 Standard tour patterns and meso structures 74
4.3.4 Cost based tariff calculation schemes 78
4.4 Transport markets 79
4.4.1 Organisation of the transport markets 80
4.4.2 Classification of transport markets 82
4.5 Constraints 85
4.5.1 Access constraints 85
4.5.2 Compatibility constraints 85
4.5.3 Capacity constraints 86
4.5.4 Time constraints 86
4.6 Data organisation for microscopic freight transport modelling 89
4.6.1 Analysis oftheNST/R classification 89
4.6.2 Multidimensional classification of freight transports 91
4.6.3 Transport market based data organisation 93
4.7 The traffic model in microscopic freight transport simulation 94
5 InterLOG simulation model 97
5.1 Overview of the InterLOG simulation model 97
5.2 Generation modules 99
5.2.1 Shipper generation 99
5.2.2 Transport company generation 102
5.3 Sourcing module 102
5.3.1 Directed choice of suppliers 102
5.3.2 Provision of commodities 106
5.4 Market interaction module: Transport market modelling 106
5.4.1 Analytical concept and modelling method 106
5.4.2 Interaction network modelling in InterLOG 108
5.4.3 Facilities of Constraint Logic Programming for behaviour modelling 109
5.4.4 Organisation of the InterLOG market interaction module 112
5.5 Network related models 113
5.5.1 Dimension model 114
5.5.2 Network model 115
5.6 Shipper related behaviour models 117
5.6.1 Company model 117
5.6.2 Mutation mechanism 119
5.6.3 Contract model 121
5.7 Forwarder related behaviour models 122
5.7.1 Dispatcher model 122
5.7.2 Forwarder model 126
5.8 Aggregation and verification 127
8
Contents
6 InterLOG simulation of the German long distance markets 129
6.1 Structural data for actor generation 129
6.1.1 Shippers 129
6.1.2 Transport companies 132
6.2 Inter sectoral commodity flow chart for Germany 132
6.2.1 Deduction of primary production rates 133
6.2.2 Sectoral destinations of commodities 135
6.2.3 Flows guided through wholesale and distribution systems 138
6.3 Characteristics of the German road freight transport markets 140
6.3.1 German lorry survey and extracted dataset 140
6.3.2 Fuzzy Clustering for the determination of lorries tour types 141
6.3.3 Assignment of trips to transport sub markets 148
6.4 Inter sectoral commodity flows by transport sub market 150
6.5 First experiences with the InterLOG model 152
6.5.1 First simulation applications: pre tests of the InterLOG model 152
6.5.2 Remodelling of the actor interaction model 154
6.6 Scenarios and sensitivity analyses 155
6.6.1 Basic scenario 155
6.6.2 Scaling scenarios 155
6.6.3 Long term scenario 157
6.6.4 Scenario with many actors 159
6.6.5 Total logistics cost scenarios with mutation 161
6.7 Lessons learned from the simulation model application 165
6.7.1 Factors enhancing transport efficiency 165
6.7.2 Comparison to macroscopic modelling 167
6.7.3 Directions of further development 167
6.7.4 Prospects for transferring the InterLOG principles to other freight
transport modelling problems 168
7 Conclusion 169
A Transport market clusters 173
B Characteristics of the German freight transport market clusters 176
B. 1 Share of the market clusters by distance 176
B.2 Share of the market clusters by weight 177
Bibliography 179
9
List of Figures
2.1 Supply and distribution trees 23
2.2 Elements and sub systems of the transport demand system 23
2.3 Network representation of the transport system 24
2.4 The complementariness between logistics and transport systems 25
2.5 Cargo, its properties and actors and views on it 29
3.1 Nested logit model for the mode choice 42
3.2 Hagerstrand time space diagram 47
3.3 Relations between the classifications used in SCENES 55
3.4 Distribution channel choice in SCENES 56
4.1 Time space diagram in freight transport 63
4.2 Overview of classical routing and scheduling problems 72
4.3 Pattern of a distribution tour 74
4.4 Pattern of a quadrangular tour 76
4.5 Patterns of uneven and even shuttle tours 76
4.6 Pattern of a trucking tour 77
4.7 Pattern of a partial load tour 78
4.8 Simplified structure of the transport market 80
4.9 Actual structure of the transport market 81
4.10 Time window and risk assessment by the dispatcher 87
4.11 Transport logistics properties of milk and cream 90
4.12 Disjointness 90
4.13 Completeness 91
4.14 Concept of a multidimensional classification of transport goods 92
4.15 Relationship between congestion probabiliy and traffic flow 96
5.1 InterLOG modules and course of the simulation 98
5.2 Simplified company generation algorithm 100
5.3 Ideality of supply chains 105
5.4 Model of the transport markets with interaction networks 108
5.5 Application fields of CLP and LP 111
5.6 Relationship between the objects, the behaviour models and the solver 114
5.7 Search trees for multiple forwarders 115
5.8 The corresponding assignment and geographic networks in InterLOG 116
5.9 Contract mutation algorithm 120
5.10 Principle of the CLP based dispatcher model solution search 123
6.1 Generic company size distribution applied for the sector metalworks 131
6.2 InterLOG screenshots of road networks and the geographical company distri¬
bution. 133
6.3 Quadrants of the monetary Input/Output matrix 136
6.4 Inter sectoral value flow chart for beverages . 139
6.5 Linguistic functions short and long distance. 143
6.6 Fuzzy rules partition of a two dimensional input 144
10
List of Figures
6.7 Transport distance distribution in two full and partial load segments 146
6.8 Share of tour types by transport company type 147
6.9 Rules for the assigment of trips to transport markets 149
6.10 Share of mileage of the long distance transport sub markets 150
6.11 Assignment matrix between commodity flows and transport markets 151
6.12 InterLOG control panel and one company s supplier spider 152
6.13 Typical tour pattern before remodelling the transport supply side 153
6.14 Remodelled structure of the transport supply side 154
6.15 Lorry flows from the small scaling scenario 156
6.16 Comparison of the simulation time for the three scaling scenarios 157
6.17 Long term trading dynamics 158
6.18 Trading behaviour with different tariff calculation schemes 159
6.19 Lorry flows from the scenario with many actors 160
6.20 Development of large and small shipments in the TLC scenarios 162
6.21 Proportion of mileage on motorways to total mileage 163
6.22 Development of total mileage 164
6.23 Proportion of empty running in a scenario with a small sensitivity of lorries
to time 165
B.I Share of the overall travelled distance by transport market 176
B.2 Share of the overall transported cargo by transport market 177
11
|
| adam_txt |
Contents
Foreword of the editor 5
List of Figures 10
List of Tables 12
1 Introduction 13
1.1 Motivation 13
1.2 Overview 14
2 Characteristics of the freight transport market 15
2.1 Definitions related to transport and logistics 15
2.2 The freight transport market as a system 18
2.2.1 General system properties 19
2.2.2 Elements of of the freight transport system 20
2.2.3 Aggregation into sub systems 22
2.2.4 Operational patterns and transport logistics meso structures 26
2.3 Perceptions of transport goods 28
2.4 Synopsis 30
3 Transport modelling 31
3.1 Principles for transport modelling 31
3.1.1 Types of models 31
3.1.2 Goals of transport modelling 33
3.2 Macroscopic transport modelling 34
3.2.1 The classical 4 step model for passenger transport 34
3.2.2 Adaptations and extensions of the 4 step approach for freight
transport 36
3.3 Microscopic passenger transport modelling 47
3.3.1 The activity based approaches 47
3.3.2 Microscopic simulation approaches 48
3.3.3 Agent and rule based modelling 50
3.4 Existing approaches for microscopic behaviour modelling of freight
transport 51
3.4.1 Logistics models 51
3.4.2 Freight transport models with logistics components 53
3.4.3 Commercial traffic models for cities 57
3.5 Challenges in freight transport modelling 59
4 Principles of actor based freight transport modelling 61
4.1 Model guidelines 61
4.1.1 Scope of microscopic freight transport models 61
4.1.2 Market interactions and meso structures in the modelling 63
4.1.3 Synopsis 64
7
Contents
4.2 Shippers and recipients 65
4.2.1 Classification of the shippers 65
4.2.2 Logisticians' decision strategies 68
4.3 Transport companies: carriers and forwarders 69
4.3.1 Classification of the transport companies 70
4.3.2 Tour planning problems 71
4.3.3 Standard tour patterns and meso structures 74
4.3.4 Cost based tariff calculation schemes 78
4.4 Transport markets 79
4.4.1 Organisation of the transport markets 80
4.4.2 Classification of transport markets 82
4.5 Constraints 85
4.5.1 Access constraints 85
4.5.2 Compatibility constraints 85
4.5.3 Capacity constraints 86
4.5.4 Time constraints 86
4.6 Data organisation for microscopic freight transport modelling 89
4.6.1 Analysis oftheNST/R classification 89
4.6.2 Multidimensional classification of freight transports 91
4.6.3 Transport market based data organisation 93
4.7 The traffic model in microscopic freight transport simulation 94
5 InterLOG simulation model 97
5.1 Overview of the InterLOG simulation model 97
5.2 Generation modules 99
5.2.1 Shipper generation 99
5.2.2 Transport company generation 102
5.3 Sourcing module 102
5.3.1 Directed choice of suppliers 102
5.3.2 Provision of commodities 106
5.4 Market interaction module: Transport market modelling 106
5.4.1 Analytical concept and modelling method 106
5.4.2 Interaction network modelling in InterLOG 108
5.4.3 Facilities of Constraint Logic Programming for behaviour modelling 109
5.4.4 Organisation of the InterLOG market interaction module 112
5.5 Network related models 113
5.5.1 Dimension model 114
5.5.2 Network model 115
5.6 Shipper related behaviour models 117
5.6.1 Company model 117
5.6.2 Mutation mechanism 119
5.6.3 Contract model 121
5.7 Forwarder related behaviour models 122
5.7.1 Dispatcher model 122
5.7.2 Forwarder model 126
5.8 Aggregation and verification 127
8
Contents
6 InterLOG simulation of the German long distance markets 129
6.1 Structural data for actor generation 129
6.1.1 Shippers 129
6.1.2 Transport companies 132
6.2 Inter sectoral commodity flow chart for Germany 132
6.2.1 Deduction of primary production rates 133
6.2.2 Sectoral destinations of commodities 135
6.2.3 Flows guided through wholesale and distribution systems 138
6.3 Characteristics of the German road freight transport markets 140
6.3.1 German lorry survey and extracted dataset 140
6.3.2 Fuzzy Clustering for the determination of lorries' tour types 141
6.3.3 Assignment of trips to transport sub markets 148
6.4 Inter sectoral commodity flows by transport sub market 150
6.5 First experiences with the InterLOG model 152
6.5.1 First simulation applications: pre tests of the InterLOG model 152
6.5.2 Remodelling of the actor interaction model 154
6.6 Scenarios and sensitivity analyses 155
6.6.1 Basic scenario 155
6.6.2 Scaling scenarios 155
6.6.3 Long term scenario 157
6.6.4 Scenario with many actors 159
6.6.5 Total logistics cost scenarios with mutation 161
6.7 Lessons learned from the simulation model application 165
6.7.1 Factors enhancing transport efficiency 165
6.7.2 Comparison to macroscopic modelling 167
6.7.3 Directions of further development 167
6.7.4 Prospects for transferring the InterLOG principles to other freight
transport modelling problems 168
7 Conclusion 169
A Transport market clusters 173
B Characteristics of the German freight transport market clusters 176
B. 1 Share of the market clusters by distance 176
B.2 Share of the market clusters by weight 177
Bibliography 179
9
List of Figures
2.1 Supply and distribution "trees" 23
2.2 Elements and sub systems of the transport demand system 23
2.3 Network representation of the transport system 24
2.4 The complementariness between logistics and transport systems 25
2.5 Cargo, its properties and actors and views on it 29
3.1 Nested logit model for the mode choice 42
3.2 Hagerstrand time space diagram 47
3.3 Relations between the classifications used in SCENES 55
3.4 Distribution channel choice in SCENES 56
4.1 "Time space diagram" in freight transport 63
4.2 Overview of classical routing and scheduling problems 72
4.3 Pattern of a distribution tour 74
4.4 Pattern of a quadrangular tour 76
4.5 Patterns of uneven and even shuttle tours 76
4.6 Pattern of a trucking tour 77
4.7 Pattern of a partial load tour 78
4.8 Simplified structure of the transport market 80
4.9 Actual structure of the transport market 81
4.10 Time window and risk assessment by the dispatcher 87
4.11 Transport logistics properties of milk and cream 90
4.12 Disjointness 90
4.13 Completeness 91
4.14 Concept of a multidimensional classification of transport goods 92
4.15 Relationship between congestion probabiliy and traffic flow 96
5.1 InterLOG modules and course of the simulation 98
5.2 Simplified company generation algorithm 100
5.3 Ideality of supply chains 105
5.4 Model of the transport markets with interaction networks 108
5.5 Application fields of CLP and LP 111
5.6 Relationship between the objects, the behaviour models and the solver 114
5.7 Search trees for multiple forwarders 115
5.8 The corresponding assignment and geographic networks in InterLOG 116
5.9 Contract mutation algorithm 120
5.10 Principle of the CLP based dispatcher model solution search 123
6.1 Generic company size distribution applied for the sector "metalworks" 131
6.2 InterLOG screenshots of road networks and the geographical company distri¬
bution. 133
6.3 Quadrants of the monetary Input/Output matrix 136
6.4 Inter sectoral value flow chart for "beverages". 139
6.5 Linguistic functions "short" and "long" distance. 143
6.6 Fuzzy rules partition of a two dimensional input 144
10
List of Figures
6.7 Transport distance distribution in two full and partial load segments 146
6.8 Share of tour types by transport company type 147
6.9 Rules for the assigment of trips to transport markets 149
6.10 Share of mileage of the long distance transport sub markets 150
6.11 Assignment matrix between commodity flows and transport markets 151
6.12 InterLOG control panel and one company's supplier spider 152
6.13 Typical tour pattern before remodelling the transport supply side 153
6.14 Remodelled structure of the transport supply side 154
6.15 Lorry flows from the small scaling scenario 156
6.16 Comparison of the simulation time for the three scaling scenarios 157
6.17 Long term trading dynamics 158
6.18 Trading behaviour with different tariff calculation schemes 159
6.19 Lorry flows from the scenario with many actors 160
6.20 Development of large and small shipments in the TLC scenarios 162
6.21 Proportion of mileage on motorways to total mileage 163
6.22 Development of total mileage 164
6.23 Proportion of empty running in a scenario with a small sensitivity of lorries
to time 165
B.I Share of the overall travelled distance by transport market 176
B.2 Share of the overall transported cargo by transport market 177
11 |
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| author | Liedtke, Gernot |
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| dewey-full | 388/.04401 |
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| dewey-sort | 3388 44401 |
| dewey-tens | 380 - Commerce, communications, transportation |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| edition | 1. Aufl. |
| format | Book |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| geographic | Deutschland |
| geographic_facet | Deutschland |
| id | DE-604.BV021818986 |
| illustrated | Illustrated |
| index_date | 2024-07-02T15:53:27Z |
| indexdate | 2024-07-09T20:45:21Z |
| institution | BVB |
| isbn | 9783832921415 3832921419 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015031162 |
| oclc_num | 74650661 |
| open_access_boolean | |
| owner | DE-12 |
| owner_facet | DE-12 |
| physical | 189 S. graph. Darst. 153 mm x 227 mm |
| publishDate | 2006 |
| publishDateSearch | 2006 |
| publishDateSort | 2006 |
| publisher | Nomos |
| record_format | marc |
| series | Karlsruher Beiträge zur Wirtschaftspolitischen Forschung |
| series2 | Karlsruher Beiträge zur Wirtschaftspolitischen Forschung |
| spelling | Liedtke, Gernot Verfasser (DE-588)1047455625 aut An actor-based approach to commodity transport modelling Gernot Liedtke 1. Aufl. Baden-Baden Nomos 2006 189 S. graph. Darst. 153 mm x 227 mm txt rdacontent n rdamedia nc rdacarrier Karlsruher Beiträge zur Wirtschaftspolitischen Forschung 20 Zugl.: Karlsruhe, Techn. Univ., Diss., 2006 Mathematisches Modell Freight and freightage Planning Mathematical models Freight and freightage Germany Planning Mathematical models Marktstruktur (DE-588)4037647-3 gnd rswk-swf Transportmarkt (DE-588)4134032-2 gnd rswk-swf Frachtgut (DE-588)4202371-3 gnd rswk-swf Monte-Carlo-Simulation (DE-588)4240945-7 gnd rswk-swf Transportkette Güterverkehr (DE-588)4135548-9 gnd rswk-swf Deutschland (DE-588)4113937-9 Hochschulschrift gnd-content Frachtgut (DE-588)4202371-3 s Transportkette Güterverkehr (DE-588)4135548-9 s Transportmarkt (DE-588)4134032-2 s Marktstruktur (DE-588)4037647-3 s Monte-Carlo-Simulation (DE-588)4240945-7 s DE-604 Karlsruher Beiträge zur Wirtschaftspolitischen Forschung 20 (DE-604)BV035418244 20 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015031162&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Liedtke, Gernot An actor-based approach to commodity transport modelling Karlsruher Beiträge zur Wirtschaftspolitischen Forschung Mathematisches Modell Freight and freightage Planning Mathematical models Freight and freightage Germany Planning Mathematical models Marktstruktur (DE-588)4037647-3 gnd Transportmarkt (DE-588)4134032-2 gnd Frachtgut (DE-588)4202371-3 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd Transportkette Güterverkehr (DE-588)4135548-9 gnd |
| subject_GND | (DE-588)4037647-3 (DE-588)4134032-2 (DE-588)4202371-3 (DE-588)4240945-7 (DE-588)4135548-9 (DE-588)4113937-9 |
| title | An actor-based approach to commodity transport modelling |
| title_auth | An actor-based approach to commodity transport modelling |
| title_exact_search | An actor-based approach to commodity transport modelling |
| title_exact_search_txtP | An actor-based approach to commodity transport modelling |
| title_full | An actor-based approach to commodity transport modelling Gernot Liedtke |
| title_fullStr | An actor-based approach to commodity transport modelling Gernot Liedtke |
| title_full_unstemmed | An actor-based approach to commodity transport modelling Gernot Liedtke |
| title_short | An actor-based approach to commodity transport modelling |
| title_sort | an actor based approach to commodity transport modelling |
| topic | Mathematisches Modell Freight and freightage Planning Mathematical models Freight and freightage Germany Planning Mathematical models Marktstruktur (DE-588)4037647-3 gnd Transportmarkt (DE-588)4134032-2 gnd Frachtgut (DE-588)4202371-3 gnd Monte-Carlo-Simulation (DE-588)4240945-7 gnd Transportkette Güterverkehr (DE-588)4135548-9 gnd |
| topic_facet | Mathematisches Modell Freight and freightage Planning Mathematical models Freight and freightage Germany Planning Mathematical models Marktstruktur Transportmarkt Frachtgut Monte-Carlo-Simulation Transportkette Güterverkehr Deutschland Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015031162&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV035418244 |
| work_keys_str_mv | AT liedtkegernot anactorbasedapproachtocommoditytransportmodelling |