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Simulation-Based Case Studies in Logistics

Education and Applied Research

By: Yuri Merkuryev (Editor), Galina Merkuryeva (Editor), Miquel ANgel Piera (Editor)

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Hardcover | 28 January 2009

At a Glance

Hardcover
260 Pages

Dimensions(cm)
23.5 x 16.51 x 2.54

Hardcover

$169.75

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"Simulation-based Case Studies in Logistics" presents an intensive learning course on the application of simulation as a decision support tool to tackle complex logistic problems. The book describes and illustrates different approaches to developing simulation models at the right abstraction level to be used efficiently by engineers when dealing with strategic, tactical or operational decisions in logistic systems. 11 simulation-based case studies in logistics and supply chain management are discussed, based on the results of applied research, covering application areas such as production logistics, warehousing, transportation, material flow management, and hospital logistics. "Simulation-based Case Studies in Logistics" is an essential text for postgraduate engineering students and researchers working in the area of logistics modeling and simulation.

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Non-Fiction Warfare & Defence Business & Management Management & Management Techniques Management of Specific Areas Production of Quality Control Management Engineering & Technology Technology in General Engineering in General Computing & I.T.Graphical & Digital Media Applications 3D Graphics & Modelling

Factory Railway System	p. 1
Introduction	p. 1
Aims of the Study	p. 2
Description of the System	p. 2
The Factory	p. 2
Arrivals of Hot Coils	p. 3
Hot-Coil Consumption	p. 5
Railway System and Storage Operations	p. 6
Modelling Methodology	p. 7
Conceptual Model Building, Coding and Verification	p. 8
Arrivals of Hot Coils	p. 8
Storage Areas and Unloading of Ships and External Trains	p. 9
Pickling Line	p. 10
Scheduling	p. 10
Experimentation	p. 12
Initial Scenario	p. 13
Second Scenario: Dampen the Harbour Arrival Peaks Using A1	p. 14
Third Scenario: Dampen the Arrival Peaks and Use Storage Area A3 to Store 4,000 t of Scheduled Coils	p. 15
Experimentation Overview	p. 17
Conclusions	p. 17
Questions	p. 18
Manufacturing System Planning and Scheduling	p. 19
Introduction	p. 19
Problem Formulation	p. 20
Modelling Approach	p. 21
A High-Level Business/Manufacturing System Model	p. 21
A Low-Level Anodising Process Stage Sub-Model	p. 24
Experimentation	p. 28
Planning Scenarios for Business Process Optimisation	p. 28
Testing Sequencing Rules for Processing Production Orders	p. 30
Conclusions	p. 32
Questions	p. 32
Supply Chain Dynamics	p. 35
Introduction	p. 35
A Model of a Supply Chain System	p. 37
Presentation of the Dynamic Model	p. 37
Some Properties of the Model	p. 38
A Five-Product Example	p. 39
The Production and Ordering Policies	p. 40
The Inventory-Based Policy	p. 40
The Order-Based Policy	p. 41
The Mean-Demand-Driven Policy	p. 41
Numerical Results	p. 42
The Inventory-Based Policy	p. 42
The Order-Based Policy	p. 44
The Mean-Demand-Driven Policy	p. 45
Variance Analysis for the Three Policies	p. 46
Supply Chain Dynamics in Practice	p. 46
The Beer Game	p. 46
Some Real Consequences of the Bullwhip Effect	p. 47
Conclusion	p. 47
Questions and Assignments	p. 48
Pharmaceutical Distribution Network	p. 49
The Pharmaceutical Distribution Network	p. 49
Determining Transportation Modes and Associated Unit Costs	p. 52
Inbound Transportation	p. 53
Outbound Transportation	p. 53
Lane Mode Optimisation Model Using MILP	p. 56
MILP Model Formulation	p. 57
Experimental Design and Results	p. 59
Conclusions	p. 63
Assignments	p. 63
Hospital Resource Management	p. 65
Introduction: Objectives	p. 65
Conceptual Model	p. 66
Patient Flow Model	p. 68
Verification and Validation	p. 70
Experimentation	p. 71
Implementation of a Gynaecological Consultation: Sequential Flow	p. 73
Implementation of Gynaecological Visits and Diagnostic Tests: Combined Sequential-Simultaneous Flow	p. 80
Conclusions	p. 83
Questions	p. 83
Supply Chain Cyclic Planning and Optimisation	p. 85
Introduction	p. 85
Problem Definition	p. 86
Assumptions	p. 87
Objective Functions	p. 87
Decision Variables	p. 88
Constraints	p. 88
Express Analysis	p. 88
Simulation Model Description	p. 89
Optimisation Methodology	p. 91
Simulation-Based Optimisation Scheme	p. 91
Optimisation Methods and Software Add-On	p. 92
A Two-Phase Hybrid Optimisation Algorithm	p. 94
Experimentation	p. 98
Optimisation Scenario 1	p. 99
Optimisation Scenario 2	p. 100
Optimisation Scenario 3	p. 101
Optimisation Scenario 4	p. 103
Conclusions	p. 105
Questions and Assignments	p. 106
Appendix	p. 106
Flexible Manufacturing Systems	p. 109
Introduction	p. 109
Simulation Shortcomings to Improving FMS Performance	p. 111
Managing Simulation Model Complexity	p. 112
Petri Net Modelling Formalism	p. 113
Reasons for Using Petri Nets	p. 114
Coloured Petri Net Formalism	p. 115
The Coverability Tree	p. 116
System Description: a Flexible Manufacturing System	p. 117
CPN Model	p. 121
Results	p. 124
Conclusions	p. 124
Questions	p. 125
Fresh-Food Supply Chain	p. 127
Introduction	p. 128
Fresh-Goods Processing	p. 128
Logistics Solutions	p. 129
Meat Distribution Simulator	p. 131
Redistribution Algorithms	p. 134
Fresh Fish: Definition of Delivery Processes	p. 135
MARLIN Simulator	p. 139
Conclusions	p. 144
Questions	p. 144
Warehouse Order Picking Process	p. 147
Introduction	p. 147
Objectives of the Project	p. 148
Description of Order Picking Process	p. 148
Warehouse Layout	p. 149
Storage Strategies	p. 150
Customer Orders	p. 152
Routing Methods in a Wide-Aisle Warehouse	p. 152
Model Description and Instructions	p. 153
Warehouse Layout and Location Names Database	p. 154
Location Visit Identification Numbers Database	p. 154
Pick Lists Database	p. 157
Simulation Algorithm	p. 159
Verification and Validation	p. 160
Tasks for the Reader	p. 161
Experiments	p. 161
Concluding Remarks	p. 164
Questions	p. 164
Material Handling System	p. 167
Objectives of the Project	p. 167
Description of the Material Handling System	p. 168
System Functionality	p. 168
System Structure and Boundaries	p. 168
Pallet Flows	p. 170
Process Control	p. 170
System Analysis	p. 172
Model Building	p. 174
The DOSIMIS-3 Simulation Package	p. 174
Model Structure	p. 174
Model Parameters	p. 175
Verification and Validation	p. 176
Simulation Experiments	p. 179
Objectives and Procedure	p. 179
Simulation Results	p. 181
Conclusions	p. 185
Questions	p. 187
Vessel Traffic in the Strait of Istanbul	p. 189
Introduction	p. 189
Vessel Traffic in the Strait of Istanbul	p. 191
Regulations	p. 193
Literature on Modelling of Waterways	p. 193
Modelling the Transit Vessel Traffic	p. 194
Vessel Arrivals	p. 194
Resources	p. 195
Vessel Scheduling	p. 196
Lane Structure	p. 199
Simulation Model	p. 199
Measures of Performance	p. 200
Validation	p. 201
Analysis of System Behaviour	p. 202
Conclusions	p. 206
Questions	p. 206
Airport Logistics Operations	p. 209
Introduction	p. 209
The Current System	p. 210
Main Airport Subsystems	p. 211
Airport Operators	p. 212
Air Traffic Controllers	p. 212
Airlines and Ground Handling Segment	p. 213
Collaborative Decision Approach Benefits	p. 214
A Discrete-Event System Approach	p. 215
Palma de Mallorca Airport: Check-In Assignment Sensibility	p. 217
Delay Propagation in the Passenger Flow Area	p. 218
Delay Propagation in the Passenger Transfer	p. 220
Delay Propagation Simulation Model for Pushback Operations	p. 222
Conclusions	p. 227
Questions	p. 227
Subject Index	p. 229
Table of Contents provided by Ingram. All Rights Reserved.

Simulation-Based Case Studies in Logistics

Education and Applied Research

At a Glance

Hardcover

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