SUPPLY CHAIN MANAGEMENT AND INVENTORY OPTIMISATION

Get Complete Project Material File(s) Now! »

SUPPLY CHAIN CHARACTERISATION FRAMEWORK

In this chapter an alternative framework to characterize supply chains is proposed. The framework forms an extension of the simplistic framework model proposed by APICS (2008), by developing a specific structure to classify supply chains by the characteristics of the product involved.
Such a framework makes it possible to identify the complexity, nodes, operations strategy and supply chain infrastructure that is required to design and operate different types of supply chains. With this information available, the supply chain manager can design a supply chain appropriate for that specific class of supply chains.
The main purpose of this research is to develop a bridge between the academic and practitioner’s view of supply chain frameworks by developing a supply chain management framework that will address the needs of the practitioner when designing a supply chain. Designing a supply chain will inter alia include the design of:
 Physical Flow and Location of Product.
 Process and Logistics Elements

Framework Model Development Background

For the purpose of this study, a two-dimensional matrix is proposed. This matrix is used to identify generic supply chain classes. The framework is then applied to a series of generic supply chains to confirm that the framework sufficiently describes the various types of supply chains that can be identified. The effectiveness of the framework is evaluated against the following criteria:
 Does the framework model support the fundamental design approach for an effective supply chain? This criterion is achieved when the framework can be used to derive the fundamental network structure, identify basic process steps and identify handling and storage requirements (APICS, 2008).
 Does the framework model provide guidance for an acceptable management strategy? This criterion is achieved when the framework can be used to identify the specific market-related supply chain design required (Gattorna, 2010).

1 INTRODUCTION AND OVERVIEW
1.1 RESEARCH QUESTION
1.2 OBJECTIVES
1.3 CONTRIBUTIONS
1.4 DOCUMENT STRUCTURE
2 LITERATURE REVIEW – SUPPLY CHAIN MANAGEMENT AND INVENTORY OPTIMISATION
2.1 SUPPLY CHAIN DEFINITION
2.2 CHALLENGES IN SUPPLY CHAIN MANAGEMENT
2.3 CONTEMPORARY SUPPLY CHAIN FRAMEWORKS
2.3.1 APICS Supply Chain Framework
2.3.2 Supply Chain Operations Reference (SCOR) Framework
2.3.3 Behavioural Based Supply Chain Framework
2.3.4 Global Supply Chain Forum Framework
2.3.5 Fischer’s Two-Axes Framework
2.4 DYNAMIC BEHAVIOUR OF SUPPLY CHAINS
2.4.1 Causes of the Bullwhip Effect
2.4.2 Controlling the Bullwhip Effect
2.4.3 Measuring the Bullwhip Effect
2.5 INVENTORY THEORY
2.5.1 Forecasting to Determine Inventory Levels
2.5.2 Lean Supply Chain Management
2.6 SUPPLY CHAIN MANAGEMENT CONCEPTS SUMMARY
3 SUPPLY CHAIN CHARACTERISATION FRAMEWORK
3.1 FRAMEWORK MODEL DEVELOPMENT BACKGROUND
3.2 SUPPLY CHAIN CHARACTERISATION FRAMEWORK DEVELOPMENT
3.2.1 Quadrant 1 Overview
3.2.2 Quadrant 2 Overview
3.2.3 Quadrant 3 Overview
3.2.4 Quadrant 4 Overview
3.3 SUPPLY CHAIN CHARACTERISATION FRAMEWORK APPLICATION
3.3.1 Quadrant 1 Application
3.3.2 Quadrant 2 Application
3.3.3 Quadrant 3 Application
3.4 SUMMARY AND DISCUSSION
4 AUTOMOTIVE SUPPLY CHAIN
4.1 SOUTH AFRICAN AUTOMOTIVE MARKET STRUCTURE
4.2 SOUTH AFRICAN AUTOMOTIVE PARTS ENVIRONMENT
4.3 PARTS MARKET STRUCTURE – SUPPLY SIDE
4.4 PARTS MARKET STRUCTURE – DEMAND SIDE
4.5 SUMMARY OF THE AUTOMOTIVE PARTS MARKET
5 LEAN SUPPLY CHAIN AND INVENTORY MANAGEMENT
5.1 ECONOMIC ORDER QUANTITY TO JUST IN TIME (JIT) COST
5.2 JIT FEASIBILITY FOR AUTOMOTIVE PARTS SUPPLY CHAIN – CASE STUDY
5.3 INVENTORY MANAGEMENT MODELS FOR JUST IN TIME (JIT)
5.3.1 JIT Maximum Inventory Position Order Management Model – Theory
5.3.2 JIT Maximum Inventory Position Order Management Model Under Stochastic
Conditions – Theory
5.3.3 JIT Maximum Inventory Position Order Management Model Under Stochastic
Conditions – Practical Application
5.3.4 JIT Stock Target Setting Order Management Model Under Stochastic
Conditions – Theory
5.4 LEAN SUPPLY CHAIN INVENTORY MANAGEMENT MODELS SUMMARY
6 DEVELOPMENT OF A SYSTEM DYNAMICS SIMULATION MODEL FOR SUPPLY CHAIN BEHAVIOUR ANALYSIS
6.1 BACKGROUND
6.2 ITHINK CONSTRUCTS
6.3 PROBLEM DESCRIPTION
6.4 DEVELOPMENT OF THE SYSTEM DYNAMICS SIMULATION MODEL
6.4.1 Feedback Loop Diagrams
6.4.2 System Dynamics Model Construction
6.5MODEL DEVELOPMENT SUMMARY
7 RESULTS AND DISCUSSION 1,2
7.1 SIMULATION ANALYSIS – CALIBRATING THE STSMETHOD
7.1.1 Damping Analysis – Imported Parts Supply Chain
7.1.2 Damping Analysis – Domestic Current Parts Supply Chain
7.1.3 Damping Analysis – Domestic Past Parts Supply Chain
7.1.4 Damping Analysis – Conclusion
7.2 SIMULATION ANALYSIS – THEORETICAL ENVIRONMENT
7.2.1 Theoretical Analysis – Scenario Setup
7.2.2 Theoretical Analysis – Results
7.2.3 Sensitivity Analysis – STS Inventory Management Method
7.2.4 Theoretical Analysis – Non-Stationary Demand
7.3 STATISTICAL ANALYSIS OF HISTORICAL DATA
7.3.1 Lead-Time Distribution Fit
7.3.2 Demand Distribution Fit
7.4 SIMULATION ANALYSIS – PRACTICAL ENVIRONMENT
7.4.1 Practical Analysis – Scenario Result
7.4.2 Practical Analysis II – Scenario and Results
7.4.3 Practical Analysis III – Sensitivity Analysis
7.5 SUMMARY
8 CONCLUSIONS AND FUTURE RESEARCH
8.1 CONCLUSIONS ON CONCEPTUAL ANALYSIS
8.2 INVENTORY MANAGEMENT METHODS
8.3 SDSM BASED ANALYSIS
8.4MAIN CONCLUSIONS
8.5 FUTURE RESEARCH
9 BIBLIOGRAPHY
10 APPENDICES

READ  Indispensability of the Bible

GET THE COMPLETE PROJECT

Related Posts