Supply Chain Management and Advanced Planning: Concepts, Models, Software, and Case Studies [Englisch] [Gebundene Ausgabe]

I was pleasantly surprised and impressed with the high quality and standard of the book, Supply Chain Management and Advanced Planning. It reflects state-of-the-art thinking as well as current views, and contains up-to-date case studies of supply chain management and advanced planning systems. There is no doubt that the authors are working at the cutting edge of the supply chain management field. They show intimate knowledge of practical advanced planning applications as well as implementation issues around a variety of commercially available software systems.

Recent information technology developments have changed modern manufacturing organizations dramatically. We have witnessed the introduction of Enterprise Resource Planning (ERP) systems, such as SAP and BAAN, aimed at integrating internal processes in an organization. These systems cut across multiple functional areas and provide a corporate wide database with all the relevant data of an organization. Many believed that these systems would address all the problems and lead to drastic improvements of business performance. This focus on internal processes, however, was not sufficient since, in a sense, it was not able to cope with the exceptions and with the variability that confront organizations on a daily basis. State-of-the-art planning procedures, provided by Advanced Planning Systems (APS), are required to allow organizations to reduce the amount of exceptional situations. An APS exploits the environment created by ERP systems and this has created major breakthroughs in enterprise wide planning. The impact has spread wider to collaborative planning amongst supply chain partners. This book is devoted to Advanced Planning Systems, the concepts underlying these, the current limitations of APS, how it links and interacts with ERP systems, what is required for successful implementation, etc. Through using, testing and implementing APS modules developed by companies such as i2 Technologies, J.D. Edwards and SAP A.G., the authors gained many insights. Practical real-world experiences are captured in the various chapters of the book.

This book covers an immense quantity of Supply Chain Management material. It is presented in a logical and easily understandable way. Here and there it is obvious that the authors are not fully comfortable with English but it is not very distracting. The book is comprehensive and the different aspects of supply chain management are outlined in great detail. I found the book a real pleasure to work through. What impressed me most was the ease with which the authors of the various chapters dealt with complex and sometimes very interrelated supply chain aspects. From a personal point of view, the emphasis on quantitative tools to assist and improve planning was very encouraging. This is something that is not recognized and appreciated enough. This book is a must for every logistics professional. Buying this book will be a worthwhile investment!

This book will give every reader a very good view of the Supply Chain Management concepts. It will take the reader from the Strategic point of view, through the Demand Planning Systems to the Advance Planning Systems. A very good book to put every concept into a global perspective, with some case studies that will help the reader to make the transition from the theory to the pratical aspect of Supply Chain Information Systems.

For the ones who are interested

PART I. Basics of supply chain management

1. Supply chain management - An overview

1.1 Definitions

1.2 Building blocks

1.3 Origins

2. Supply chain analysis

2.1 Motivation and goals

2.2 Process modelling

2.3 Performance measurement

2.4 Inventory analysis

3. Types of supply chains

3.1 Motivation and basics

3.2 Functional attributes

3.3 Structural attributes

3.4 Example for the consumer goods industry

3.5 Example for the computer assembly

4. Advanced Planning

4.1 What is Planning

4.2 Planning tasks along the supply chain

4.3 Examples of type-specific planning tasks and planning concepts

PART II. Concepts of advanced planning systems

5. Structure of advanced planning systems

6. Strategic network planning

6.1 Components of the strategic network design problem

6.2 Review of models in the literature

6.3 Modelling strategic supply chain design

6.4 SNP Modules in advanced planning systems

6.5 Conclusions

7. Demand planning

7.1 A demand planning framework

7.2 Statistical forecasting techniques

7.3 Incorporation of judgmental factors

7.4 Additional features

8. Master planning

8.1 The decision situation

8.2 Model building

8.3 Generating a plan

9. Demand fulfilment and ATP

9.1 Available-to-promise

9.2 Allocated ATP

9.3 Order promising

10. Production planning and scheduling

10.1 Description of the decision situation

10.2 How to proceed from a model to a production schedule

10.3 Model building

10.4 Updating production schedules

10.5 Number of planning levels and limitations

11. Purchasing and material requirements planning

11.1 Basics of material management planning

11.2 Generation and timing of uncritical orders

11.3 Quantity discounts and supplier selection

12. Distribution and transport planning

12.1 Panning situations

12.2 Models

13. Coordination and integration

13.1 Coordination of APS modules

13.2 Integration of APS

13.3 Supply chain event management

14. Collaborative planning

14.1 Introduction

14.2 Types of collaborations

14.3 A generic collaboration process

14.4 Software support

PART III. Implementing advanced planning systems

15. The definition of a supply chain project

15.1 Supply chain evaluation

15.2 Supply chain potential analysis

15.3 Project roadmap

16. The selection process

16.1 Creation of a short list

16.2 APS requirements

16.3 Implementation and integration

16.4 Post-implementation effort and support model

17. The implementation process

17.1 The APS implementation project

17.2 Modelling phases of an APS-project

PART IV. Actual APS and case studies

18. Architecture of selected APS

18.1 i2 Technologies - i2 Six.One

18.2 Peoplesoft - EnterpriseOne Supply chain planning

18.3 SAP - APO

19. SCM in a pharmaceutical company

19.1 Case description

19.2 Objectives of project

19.3 Planning process

19.4 Results and lessons learned

20. Food and beverages

20.1 Case description

20.2 Aim of the project

20.3 Model building in Peoplesoft Strategic Network Optimization

20.4 Implementing the Master Planning Model

20.5 Results and lessons learned

21. Computer assembly

21.1 Description of the computer assembly case

21.2 Scope and objectives

21.3 Planning process in detail

21.4 Summary and lessons learned

22. Demand planning of styrene plastics

22.1 Description of the supply chain

22.2 The architecture of the planning system

22.3 Model building with SAP APO Demand planning

22.4 The demand planning process of the styrene plastics division

22.5 Concluding remarks

23. Semiconductor manufacturing

23.1 Case description

23.2 Objectives of project

23.3 Model building with i2 Factory planner

23.4 Lessons learned

24. Scheduling of synthetic granulate

24.1 Case description

24.2 Objectives

24.3 Modelling the production process in APO PP/DS

24.4 Planning process

24.5 Results and lessons learned

PART V. Conclusions and outlook

25. Conclusions and outlook

PART VI. Supplement

26. Forecast methods

26.1 Forecasting for seasonality and trend

26.2 Initialization of trend and seasonal coefficients

27. Linear and mixed integer programming

27.1 Linear programming

27.2 Pure integer and mixed integer programming

27.3 Remarks and recommendations

28. Genetic algorithms

28.1 General idea

28.2 Population and individuals

28.3 Evaluation and selection of individuals

28.4 Recombination and mutation

28.5 Conclusions

29. Constraint programming

29.1 Overview and general idea

29.2 Constraint satisfaction problems

29.3 Constraint propagation

29.4 Search algorithms

29.5 Concluding remarks