What is Multi-Agent System (MAS) ? To incorporate multiple type of agents of various system. It is a way of designing and implementing a system with the advantage of agent entities. MOTIVATION Multi-agent systems dynamically forecasts the fluctuation of the demand and updates price of its raw material. Hence, Inventory management is derived to respond and adapt to the rapid market changes and the material requirements. OBJECTIVES 1. To keep optimum inventory to meet customer demand. 2. To modify and update inventory dynamically to adapt market environment. METHODOLOGY 1. Collecting data. 2. Implementing ABC analysis. 3. Calculating future demand forecast. 4. Implementing replenishment policy. 5. Analyzing of data.

1. Improvement of Inventory
Management By Applying
Multi-Agent System
SUPERVISED BY
Md. Saiful Islam
Assistant Professor
Department of Industrial
Engineering and Management
SUBMITTED BY
MD. AKIBUL ISLAM
Roll: 1411018
MD. MANOARUL AMIN HAWLIDER
Roll: 1411031
Khulna University of Engineering & Technology

2. What is Multi-Agent System (MAS) ?
To incorporate multiple type
of agents of various system.
It is a way of designing and
implementing a system with
the advantage of agent
entities.

3. MOTIVATION
Multi-agent systems dynamically forecasts
the fluctuation of the demand and updates price
of its raw material.
Hence, Inventory management is
derived to respond and adapt to the
rapid market changes and the
material requirements.

4. OBJECTIVES
• To keep optimum inventory to
meet customer demand.
• To modify and update
inventory dynamically to adapt
market environment.

5. Fabrics Polo Shirt
COMPANY PROCEDURES

6. Collected data For Fabrics,
Demand = 349998 kg per year
Ordering cost = 1,44,000 TK
Holding cost / Carrying cost = 6 TK
Order size by factory = 61,249 kg

7. 𝐸𝑂𝑄 =
2𝐷𝑆
𝐻
𝑇𝑂𝑇𝐴𝐿 𝐶𝑂𝑆𝑇 =
𝑄
2
× 𝐻 +
𝐷
𝑄
× 𝑆
The Formulas :

8. Calculation:
EOQ =1,29,614.44 kg
Total cost (without EOQ) = 10,06,606 TK per year
Total cost (with EOQ) = 7,77,686.66 TK per year

9. 10,06,606
7,77,686.66
TOTAL COST PER YEAR (ORDERING & HOLDING COST)
WITHOUT EOQ
WITH EOQ
TOTAL COST PER YEAR (ORDERING & HOLDING COST)
WITHOUT EOQ EOQ

10. METHODOLOGY

11. 1. Collecting data from the factory

12. 2. ABC classification

13. 3. Future demand forecasting
• Naive
• Weighted moving average
• Single moving average
• Exponential smoothing
• Techniques for trend
The system will use
the right forecasting
method to adapt
market demand on
the basis of forecast
error.
The system will be developed by excel VBA

14. 4. Applying replenishment policy
By calculating
• Economic Order Quantity
• Safety stock

15. 5. Analysis of data by using the system (VBA)

16. Working Progress
Tasks Current Status
Topic Selected
Abstract Incomplete
Introduction Completed
Objective Completed
Methodology Approximately 10% Completed
Results Incomplete
Conclusions Incomplete