Dynamic Modelling for Supply Chain Management

Dealing with Front-end, Back-end and Integration Issues

By: Adolfo Crespo MÃ¡rquez

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Hardcover | 26 February 2010

At a Glance

Hardcover
316 Pages

Dimensions(cm)
24.77 x 16.51 x 2.54

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"Dynamic Modelling for Supply Chain Management" discusses how to streamline complex supply chain management by making the most of the growing number of tools available.

The reader is introduced to the basic foundations from which to develop intelligent management strategies, as the book characterises the process and framework of modern supply chain management. The author reviews supply chain management concepts and singles out important factors in the management of modern complex production systems. Particular attention is paid to modern simulation modelling tools that can be used to support supply chain planning and control. The book explores the operational and financial impacts of various potential problems, offering a compilation of practical models to help identify solutions.

A useful reference on supply chain management, "Dynamic Modelling for Supply Chain Management" will benefit engineers and professionals working in a variety of areas, from supply chain management to product engineering.

Industry Reviews

From the reviews:

"This is an interesting book that shows how broad supply chain management (SCM) challenges can be modelled using system dynamics for sense making and quantitative input to decision making. It is suited to those in academia or industry wanting to understand how modelling can be applied to challenging business situations. It provides primers on key areas of SCM and shows through rich case study how to structure modelling work and experiment using models created. ... This is a well-structured book with valuable, detailed content." (Peter Ball, Production Planning & Control, 2011)

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

An Introduction to Dynamic Modelling for Supply Chains
On the Definition of Dynamic Simulation	p. 3
An Introduction to Dynamic Simulation	p. 3
Systems, Models and Simulation	p. 3
Time Handling In Dynamic Simulation Models	p. 5
Type of Dynamic Computer Simulation Models	p. 5
Difference Equations in Discrete Time Models	p. 5
Differential Equations in Continuous Time Models	p. 5
Computer Simulation Models Time Advance Methods	p. 6
Executable Timelines	p. 6
Deterministic and Stochastic Simulation	p. 7
Dynamic Modelling Methodology and Tools	p. 7
System Dynamics	p. 7
System Dynamics Modelling Tools	p. 8
System Dynamics Software Tools	p. 11
Model Validation vs Usefulness	p. 12
Dynamic Modelling Approach Followed in this Book	p. 13
References	p. 15
Current Supply Chains Management Issues	p. 17
Current Issues in SCM	p. 17
SCM Issues and Related Problems	p. 17
Network Configuration and Competition	p. 18
Sharing Information through ICTs	p. 21
Developing Collaborative Planning Activities	p. 24
Suppliers Management. Expanding the Purchasing Role	p. 28
Approaching Markets Differently	p. 29
References	p. 29
Models for SCM Simulation and Analysis	p. 33
SCM and Dynamic Simulation	p. 33
Continuous Time Simulation Models for SCM	p. 35
Classifying Hi-tech SC Dynamic Models in this Book	p. 36
Overview	p. 36
Front-end Dynamics Modelling	p. 37
Modelling Back-end Issues in SCM	p. 39
Modelling Integration Issues in SCM	p. 39
References	p. 40
Modelling Front-end Issues in SCM
Understanding a Customer's Decision to Buy	p. 45
Selecting Potential Markets	p. 45
A Case Study for Market Segmentation	p. 46
The Monitor Purchase Process. A Case Study	p. 51
Concluding Remarks	p. 55
References	p. 55
Understanding Financial Implications of Strategy	p. 57
Overview	p. 57
The Price as Source of Revenue Stream	p. 57
Characterising Pricing Options	p. 57
The Pricing Setting Process and Framework	p. 60
The Cost Structure and the Value Chain	p. 62
The Value-driven Planning Process. A Case Study	p. 66
References	p. 73
Understanding Hi-tech Business Growth	p. 75
Characterising Hi-tech Business Planning Process	p. 75
Hi-tech Business Growth. A Case Study	p. 77
Reasons for this Modelling Effort	p. 77
Fuzzy and Soft Marketing	p. 78
Understanding the Business Process Better	p. 79
Understanding the Requirements of a Business Process Model	p. 80
Introducing the Marketing Intelligence Team	p. 81
Validating the Model and Preserving the Chain of Belief	p. 81
Concluding Remarks of the Case Study	p. 83
References	p. 84
Modelling a Hi-tech Business Growth	p. 85
Model Overview	p. 85
Modelling Customer's Decision to Buy	p. 86
Modelling a Customer Perception of a Product	p. 88
Modelling Competition. Value Provided and Perceived	p. 89
Modelling Marketshare, Revenue, Gross and Net Operating Profit	p. 90
Modelling Profit Contribution Growth	p. 93
Transforming a Dynamic Simulation Model into a DSS	p. 97
Sample DSS and Case Study	p. 98
Introduction	p. 98
From a Simulation Model to a Decision Support System	p. 101
Managerial Implications	p. 102
Respond to Market-driven Demand	p. 102
Segment According to Customer Purchase Priorities	p. 103
Focus on the Vertical Dimension of Business Planning	p. 103
Traction from Precise Go-to-market Strategy	p. 103
Conclusions and Further Research	p. 104
References	p. 104
Modelling Back-end Issues in SCM
Back-end Issues Related to Supplier Management	p. 109
Contract Structures for Supplier Management	p. 109
Competitive Prourement Strategies: Global and Multiple Sourcing	p. 109
Types of Contractual Relationships with Suppliers	p. 110
Procurement Risk Management at HP. A Case Study	p. 112
Procurement Uncertainties	p. 112
Technical Challenges in Managing Procurement Uncertainties	p. 114
Measuring Uncertainty. The Scenario Approach	p. 114
Managing Risks. Structuring Contracts with Suppliers	p. 115
The PRM Business Process	p. 117
Benefits from Implementing PRM at HP	p. 118
References	p. 119
Modelling a Portfolio of Contracts with Suppliers	p. 121
Overview	p. 121
Formal Characterisation of the Contracts with Suppliers in a Dynamic Volatile Business Environment	p. 122
Notation of the Model Material and Information Flow Variables and Parameters	p. 122
Characterisation of Supplier Contracts in a Volatile Business Environment	p. 123
Modelling the Procurement System. Material and Information Flows	p. 126
Modelling Accountability of the Procurement System	p. 130
Modelling Forward Contract with Suppliers	p. 133
Modelling Commodity Options Contracts with Suppliers	p. 135
Selecting a Suitable Contract Portfolio with Suppliers	p. 136
Managerial Implications of the Work	p. 141
Concluding Remarks of the Chapter	p. 143
References	p. 143
Modelling Back-end Issues in Manufacturing	p. 145
Introduction to the Modelling of Manufacturing Issues	p. 145
Case Study in Semiconductor Fabs	p. 146
Introduction to the Case Study	p. 146
Pros and Cons of LP Models to Deal with PM Scheduling	p. 148
Dynamic Simulation to Deal with PM Scheduling in Fabs	p. 151
Introduction and Notation	p. 151
Modelling Tool's Age	p. 152
Modelling Tool Availability	p. 153
Modelling Maintenance Activities Backlog	p. 153
Modelling Preventive Maintenance Policies	p. 154
Overview	p. 154
Age Based Maintenance Policy	p. 155
Age and Availability Based Maintenance Policy	p. 155
Age and In-front Buffer Maintenance Policy	p. 158
Specific Wafer Production Flow Scenarios	p. 158
Simulation Results	p. 161
Introduction to Results of the Case Study	p. 161
Results for Scenario 1	p. 161
Results for Scenario 2	p. 163
Confidence in Simulation Results	p. 164
Concluding Remarks of the Case Study	p. 166
References	p. 166
Modelling Integration Issues in SCM
Different Supply Chain Integration Models	p. 171
SC Integration Opportunities	p. 171
Overview	p. 171
The Factory.com Case Study	p. 172
How the Factory.com CME Works	p. 173
The FN Architecture	p. 175
Business Intelligence, Configuration Tailoring and Integration	p. 176
Partnering Options with Factory.com and Modelling Opportunities	p. 177
Characteriation of SC Materials and Information Flows	p. 179
Material and Information Variables	p. 179
Characterisation of SC Materials and Information Flows	p. 180
Modelling Information Flows According to the Integration Sequence	p. 181
Modelling a Non-integrated Supply Chain	p. 182
Modelling PI SC with Sharing Sell-through	p. 183
Modelling PI SC with Shared Inventory Information	p. 183
Modelling Integrated (Sales and Inventory) Supply Chains	p. 184
Results About Integration Sequence Implications	p. 184
Concluding Remarks	p. 186
References	p. 187
Modelling Financial Implications of Integration Strategies	p. 189
An Introductory Case Study	p. 189
Overview	p. 189
Understanding Financial Problems in Contract Manufacturers	p. 190
Defining New Schemes	p. 191
Modelling Materials, Information and Financial Flows	p. 194
SC Financial Variables	p. 194
Considerations About Financial Statements	p. 195
Modelling Financial Flows	p. 196
Integration with Financial Limitations	p. 197
Results with No Financial Limitations	p. 200
Integration with Financial Limitations for All Nodes	p. 200
Financial Limitations at a Single Node	p. 205
Concluding Remarks	p. 205
References	p. 206
Exploring the Use of Manufacturing Control Techniques in Virtual SC	p. 207
Virtual Manufacturing in Modern Supply Chains. Comparing SC Integration Levels to Push-pull Manufacturing Schemes	p. 207
Hybrid Push-pull Manufacturing Schemes Used for SCM	p. 208
Sample CONWIP Driven Virtual Supply Chain	p. 208
Introduction to the Case Study	p. 208
The CONWIP SC Approach	p. 209
CONWIP in a Production System vs CONWIP in an SC	p. 210
Modelling a CONWIP SC vs an FI SC	p. 213
CONWIP SC Equations	p. 217
Validation of the Behaviour Patterns of the Main Conwip SC Model Variables	p. 222
Simulation Study for the Comparison of SCM Policies	p. 225
Conclusions of the Case Study for Comparison of SCM Policies	p. 233
References	p. 233
Capacity Constraints Analysis for SCM	p. 237
An Introduction to the Problem	p. 237
Constrained Supply Chain Modelling in the Literature	p. 238
Modelling the Constrained Supply Chain	p. 239
Inventory Control Policy Models	p. 239
Model Notation	p. 240
The Decentralised Model	p. 242
POS Decentralised Model	p. 244
Centralised Model	p. 245
Perfonnance Metrics, Experiments and Discussion	p. 246
Supply Chain Performance Metrics	p. 246
Experimental Sets: Assumption and Parameter Vectors	p. 247
Data Analysis	p. 247
Discussion	p. 251
Concluding Remarks	p. 253
References	p. 253
Modelling Diversity Integration in the Organisation	p. 257
The Meaning of Diversity in Organisations	p. 257
Affirmative Action and Equal Opportunity Policies	p. 257
A Business Case for Cultural Diversity	p. 258
Dynamic Modelling and Cultural Diversity. A Case Study	p. 259
Purpose of the Modelling Effort	p. 259
Building the Simulation Model	p. 259
Simulating the Model	p. 262
Concluding Remarks of the Case Study	p. 267
References	p. 269
Dynamic Modelling Projects
Presenting SCM Dynamic Simulation Projects	p. 273
The Project Alternatives	p. 273
One Point Solution	p. 274
Decision Improvement Process	p. 274
Infrastructure Solution	p. 274
Organisational Independence	p. 275
Combination of Alternatives	p. 275
A Modelling Value Proposition. A Case Study	p. 278
Capturing the Learning of a Modelling Project	p. 283
The Project Technical Closure	p. 283
The Project Technical Closure Case Study	p. 285
Model Purpose and Strategy	p. 285
Archives, Files and Documents	p. 286
Model Structure	p. 286
Model Use	p. 287
Maintenance	p. 288
Technical Learning	p. 288
Reference	p. 289
Index	p. 291
Table of Contents provided by Ingram. All Rights Reserved.

Dynamic Modelling for Supply Chain Management

Dealing with Front-end, Back-end and Integration Issues

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

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