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Introduction

Inventory management is a critical aspect of supply chain management that directly impacts a company’s profitability and performance. Effective inventory management involves maintaining the right amount of stock at the right time to meet customer demand while minimizing holding costs and stockouts. Time series forecasting plays a crucial role in inventory management by using historical data to predict future demand, allowing companies to make informed decisions regarding stock levels, production planning, and order quantities.

This thesis aims to explore the application of time series forecasting techniques in inventory management and analyze their effectiveness in improving inventory management practices. By understanding how time series forecasting can be utilized in inventory management, companies can optimize their inventory levels, reduce costs, and enhance customer service.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Overview of Inventory Management
2.2 Importance of Time Series Forecasting in Inventory Management
2.3 Traditional Forecasting Methods
2.4 Time Series Forecasting Techniques
2.5 Applications of Time Series Forecasting in Inventory Management
2.6 Benefits of Time Series Forecasting in Inventory Management
2.7 Challenges of Implementing Time Series Forecasting in Inventory Management
2.8 Case Studies on Time Series Forecasting in Inventory Management
2.9 Current Trends in Time Series Forecasting for Inventory Management
2.10 Gaps in Existing Literature

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Sampling Techniques
3.4 Data Analysis Techniques
3.5 Model Selection and Evaluation
3.6 Variables and Measures
3.7 Research Hypotheses
3.8 Ethical Considerations

Chapter 4: Discussion of Findings
4.1 Data Analysis Results
4.2 Comparison of Forecasting Techniques
4.3 Implications for Inventory Management Practices
4.4 Recommendations for Future Research
4.5 Practical Implications for Managers
4.6 Limitations of the Study

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to the Field
5.4 Managerial Implications
5.5 Suggestions for Future Research

Thesis Overview: Time Series Forecasting for Inventory Management

Inventory management is a crucial aspect of supply chain management that impacts a company’s profitability and performance. Time series forecasting techniques can be used to predict future demand and optimize inventory levels, thereby improving efficiency and reducing costs. This thesis explores the application of time series forecasting in inventory management, examining its benefits, challenges, and implications for practice. By understanding how time series forecasting can enhance inventory management practices, companies can make informed decisions and improve their overall supply chain performance.

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