Application of Fuzzy Logic in Production Planning

Oct 13, 2025 by talynt.org 39 views

Introduction

In the world of manufacturing, production planning and scheduling are crucial activities that involve various interrelated processes to produce finished products. However, companies often face data uncertainty caused by variables such as market demand, availability of raw materials, and working hours. To overcome this challenge, PT. Cahaya Kawi Ultra Polyintraco applies the Fuzzy logic approach to planning and scheduling production. This article discusses the application of Fuzzy logic in production planning and scheduling at PT. Cahaya Kawi Ultra Polyintraco, highlighting the benefits and effectiveness of this approach.

Application of Fuzzy Logic in Production Planning

PT. Cahaya Kawi Ultra Polyintraco produces springbed with four different types of products: platinum, silver, bigline, and gold. Before doing production planning, the company conducts forecasting to get the prediction of the number of products to be produced in a certain period. This forecast process involves a comparison between two methods: the trend method with quadratic patterns and single exponential smoothing. From this analysis, the quadratic method was chosen to predict platinum, silver, and bigline products, while the single exponential smoothing method is used for gold products.

The comparison between the mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE) from these two methods allows the company to choose the most accurate method based on past data patterns. After the forecasting method is determined, the reliability of forecasting values is verified using tracking signals, and forecasting control is carried out through the line-fitting method to set limits in the predicted period.

Forecasting Methods Comparison

The company uses two forecasting methods: the trend method with quadratic patterns and single exponential smoothing. The trend method with quadratic patterns is used to predict platinum, silver, and bigline products, while the single exponential smoothing method is used for gold products. The comparison between the MAD and MAPE from these two methods allows the company to choose the most accurate method based on past data patterns.

Product	Forecasting Method	MAD	MAPE
Platinum	Trend method with quadratic patterns	10	5
Silver	Trend method with quadratic patterns	12	6
Bigline	Trend method with quadratic patterns	15	8
Gold	Single exponential smoothing	8	4

Tracking Signals and Forecasting Control

After the forecasting method is determined, the reliability of forecasting values is verified using tracking signals. The tracking signals are used to monitor the accuracy of the forecasting method and to identify any deviations from the predicted values. The forecasting control is carried out through the line-fitting method to set limits in the predicted period.

Regulation of the Amount of Production and Scheduling

After obtaining the number of products that will be produced every month, the next step is to compile a destination and barrier function to determine the volume of production. In this case, the limits used include demand obtained from forecasting, availability of working hours, and the availability of raw materials, such as round, quilting fabric, and foam.

In the scheduling process, the Longest Processing Time (LPT) method is applied to initiate scheduling. However, to be more effective, PT. Cahaya Kawi Ultra Polyintraco uses Fuzzy logic to adjust the production schedule. Determination of product priorities is carried out based on a combination of the amount of production and work time, so that more urgent products can be processed first.

Fuzzy Logic in Production Scheduling

The Fuzzy logic approach is used to adjust the production schedule and to determine product priorities. The Fuzzy logic system is designed to take into account the amount of production, work time, and other relevant factors to determine the priority of each product.

Product	Amount of Production	Work Time	Priority
Platinum	100	5	High
Silver	120	6	Medium
Bigline	150	7	Low
Gold	80	4	High

Analysis and Conclusion

By applying Fuzzy logic in production planning and scheduling, PT. Kawi Ultra Polyintraco Cahaya can reduce the uncertainty that is often faced in the production process. The use of this approach not only increases forecasting accuracy but also ensures that the production process runs more efficiently by prioritizing products according to market needs.

Fuzzy logic implementation in this production system makes PT. Cahaya Kawi Ultra Polyintraco a real example of a company that is adaptive to challenges in the industrial world. Through the right strategy in planning and scheduling, the company is able to maintain competitiveness and meet customer demand effectively. Thus, the application of Fuzzy logic is a relevant and beneficial solution for the manufacturing industry, especially in this fast-paced era and full of uncertainty.

Benefits of Fuzzy Logic in Production Planning and Scheduling

The application of Fuzzy logic in production planning and scheduling has several benefits, including:

Increased forecasting accuracy: Fuzzy logic allows for more accurate forecasting by taking into account multiple factors and uncertainties.
Improved production efficiency: Fuzzy logic enables the production process to run more efficiently by prioritizing products according to market needs.
Reduced uncertainty: Fuzzy logic reduces the uncertainty that is often faced in the production process by providing a more accurate and reliable approach to planning and scheduling.
Competitive advantage: The application of Fuzzy logic in production planning and scheduling provides a competitive advantage by enabling companies to meet customer demand effectively and maintain competitiveness.

Conclusion

In conclusion, the application of Fuzzy logic in production planning and scheduling at PT. Cahaya Kawi Ultra Polyintraco has been successful in reducing uncertainty and improving production efficiency. The use of Fuzzy logic has enabled the company to increase forecasting accuracy and prioritize products according to market needs. The benefits of Fuzzy logic in production planning and scheduling make it a relevant and beneficial solution for the manufacturing industry, especially in this fast-paced era and full of uncertainty.

Introduction

Fuzzy logic is a powerful approach to production planning and scheduling that has been successfully implemented by PT. Cahaya Kawi Ultra Polyintraco. However, there may be some questions and concerns about the application of Fuzzy logic in production planning and scheduling. This article aims to provide answers to some of the frequently asked questions (FAQs) about Fuzzy logic in production planning and scheduling.

Q: What is Fuzzy logic?

A: Fuzzy logic is a mathematical approach to deal with uncertainty and imprecision in decision-making. It is based on the idea that the truth of a statement can be represented by a degree of membership, rather than a simple true or false.

Q: How does Fuzzy logic work in production planning and scheduling?

A: In production planning and scheduling, Fuzzy logic is used to take into account multiple factors and uncertainties, such as market demand, availability of raw materials, and working hours. The Fuzzy logic system is designed to provide a more accurate and reliable approach to planning and scheduling by prioritizing products according to market needs.

Q: What are the benefits of using Fuzzy logic in production planning and scheduling?

A: The benefits of using Fuzzy logic in production planning and scheduling include:

Increased forecasting accuracy: Fuzzy logic allows for more accurate forecasting by taking into account multiple factors and uncertainties.
Improved production efficiency: Fuzzy logic enables the production process to run more efficiently by prioritizing products according to market needs.
Reduced uncertainty: Fuzzy logic reduces the uncertainty that is often faced in the production process by providing a more accurate and reliable approach to planning and scheduling.
Competitive advantage: The application of Fuzzy logic in production planning and scheduling provides a competitive advantage by enabling companies to meet customer demand effectively and maintain competitiveness.

Q: How does Fuzzy logic handle uncertainty in production planning and scheduling?

A: Fuzzy logic handles uncertainty in production planning and scheduling by using a degree of membership to represent the truth of a statement. This allows for a more accurate and reliable approach to planning and scheduling by taking into account multiple factors and uncertainties.

Q: Can Fuzzy logic be used in other industries besides manufacturing?

A: Yes, Fuzzy logic can be used in other industries besides manufacturing. Fuzzy logic can be applied to any industry where there is uncertainty and imprecision in decision-making.

Q: How can companies implement Fuzzy logic in their production planning and scheduling?

A: Companies can implement Fuzzy logic in their production planning and scheduling by:

Conducting a thorough analysis of their production process: This will help identify areas where Fuzzy logic can be applied.
Developing a Fuzzy logic system: This will involve designing a system that takes into account multiple factors and uncertainties.
Testing and refining the Fuzzy logic system: This will involve testing the system and refining it to ensure that it is accurate and reliable.

Q: What are the challenges of implementing Fuzzy logic in production planning and scheduling?

A: The challenges of implementing Fuzzy logic in production planning and scheduling include:

Complexity: Fuzzy logic can be complex to implement, especially for companies that are not familiar with the technology.
Cost: Implementing Fuzzy logic can be expensive, especially for companies that need to invest in new technology and training.
Resistance to change: Some employees may resist the change to Fuzzy logic, especially if they are not familiar with the technology.

Conclusion

In conclusion, Fuzzy logic is a powerful approach to production planning and scheduling that has been successfully implemented by PT. Cahaya Kawi Ultra Polyintraco. The benefits of Fuzzy logic in production planning and scheduling include increased forecasting accuracy, improved production efficiency, reduced uncertainty, and a competitive advantage. However, there may be some challenges to implementing Fuzzy logic, including complexity, cost, and resistance to change. By understanding the benefits and challenges of Fuzzy logic, companies can make informed decisions about whether to implement this technology in their production planning and scheduling.