
CÔNG NGHỆ Tập san SINH VIÊN NGHIÊN CỨU KHOA HỌC ● Số 13.2023
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SIMULATION MODELING OF SMALL SERIES PU PANEL PRODUCTION SYSTEM
MÔ HÌNH HÓA MÔ PHỎNG HỆ THỐNG SẢN XUẤT TẤM PANEL PU LOẠT NHỎ Dao Minh Quang1, Nguyen The Manh1, Hoang Van Cong1, Le Thi Phuong Thanh2 ABSTRACT
Modeling and simulation are of great importance in many different fields,
especially in science and engineering. Some
advantages such as: understanding
and predicting by creating models and simulations that help capture the rules and
relationships between elements in the system, thereby predicting future results;
makes the design and optimization process more efficient by
testing and
evaluating different ideas, scenarios or solutions before actual implementation.
This saves time, effort and resouces; analyze that identify critical factors and make
decisions based on data gathered from modeling and simulations. Simulation o
f
a small series PU panel production system with the simulation software
Technomatix Plant Simulation helps to select the optimal plan for productivity in
many simulated simulations, identify bottlenecks in the production line to
optimize material flow. In
this report, compare the efficiency level based on the
simulation results table and make improvements for the production line. Keyword: Technomatix Plant Simulation, bottlenecks, improve the line. TÓM TẮT Mô hình hóa và mô phỏng có tầm quan trọng lớn trong nhi
ều lĩnh vực khác
nhau, đặc biệt trong khoa học và kỹ thuật. Một số ưu điểm như: hiểu và d
ự đoán
bằng cách tạo ra mô hình và mô phỏng giúp nắm bắt được quy luật và m
ối quan
hệ giữa các yếu tố trong hệ thống, từ đó có thể dự đoán kết quả trong tương
lai;
giúp cho quá trình thiết kế và tối ưu hiệu quả hơn nhờ thử nghiệm v
à đánh giá các
ý tưởng, kịch bản hoặc giải pháp khác nhau trước khi triển khai thực tế. Điều n
ày
giúp tiết kiệm thời gian, công sức và nguồn lực; phân tích và đánh giá các h
ệ thống
phức tạp xác định các yếu tố quan trọng và đưa ra các quyết định dựa trên cơ s
ở dữ
liệu thu thập được từ mô hình và mô ph
ỏng. Mô phỏng hệ thống sản xuất tấm
panel PU lo
ạt nhỏ bằng phần mềm mô phỏng Technomatix Plant Simulation giúp
lựa chọn phương án tối ưu năng suất trong nhiều phương án giả lập đư
ợc mô
phỏng, xác định được nút thắt trong dây chuyền sản xuất nhằm tối ưu dòng ch
ảy
vật liệu. Trong bài báo này, mục tiêu là so sánh mức độ hiệu quả dựa vào b
ảng kết
quả mô phỏng và đưa ra cải tiến cho dây chuyền sản xuất. Từ khóa: Technomatix Plant Simulation, nút thắt, cải tiến dây chuyền. 1Class Industrial Systems 01-
K14, Faculty of Mechanical Engineering, Hanoi
University of Industry 2Faculty of Mechanical Engineering, Hanoi University of Industry *Email: quangteo10a6@gmail.com 1. INTRODUCTION Simulation construction steps include: 1. Data preparation: Collect and prepare the necessary data for the simulation, including information about the production process, product flow, physical time, quantity and interactions between elements in the system. 2. Modeling: Open Technomatix Plant Simulation and create a new model from scratch or use pre-built model templates. 3. Workspace Design: Define the workspace and draw the extents, areas and subsystems in the model. This may include adding machines, servers, supplies and work locations. 4. Build workflows: Define work steps in the production process and set up workflows for each step. This may include defining processing operation between job steps and conditional logic. 5. Set variables and conditions and conditions to simulate the operation of the system. This may include setting variables such as product quantities waiting times and machine control. 6. Define rules and events: Define rules and events to drive the behavior of the model. This may include defining queue rules, priotity rules and events that trigger certain actions. 7. Test and validate simulation: Test and validate simulation by running tests and monitoring system performance. This help to ensure that the model works correctly and reflects reality. 8. Optimization and analysis: Use analytics tools and features. 2. SIMULATE THE GROUNG MODELS ON PLANT SIMULATION 2.1. Setting up specifications With a simulation run time of 1 working day of 8 hours, starting from 09/01/2023.

SCIENCE - TECHNOLOGY Số 13.2023 ● Tập san SINH VIÊN NGHIÊN CỨU KHOA HỌC 189
The operation of the system will be simulated under the following input parameters with a demand of 500 products/day: Unwinding machine receives rolled corrugated iron material and processing time is 2 minutes. The cutter receives rolled corrugated iron material and processing time is 1.5 minutes. The rolling machine receives rolled corrugated iron material and processing time is 2 minutes. The rolling machine receives rolled corrugated iron material and processing time is 2 minutes. The PU injection machine receives rolled corrugated iron material and processing time is 2.5 minutes. The press receives rolled corrugated iron material and processing time is 1.5 minutes. The machine accept the product and has a processing time of 2 minutes The plastic gluing machine receives rolled corrugated iron material and processing time is 1.5 minutes. Finished product creation rate 95% Waste spawn rate 5% 2.2. Test option 1 Figure 1. Production premises of the first option After running the simulation, the first production line has the following results:

CÔNG NGHỆ Tập san SINH VIÊN NGHIÊN CỨU KHOA HỌC ● Số 13.2023
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Figure 2. Line yield chart 1 Figure 3. Line moving chain Figure 4. Line overview results table Figure 5. Output result 2.3. Test option 2 As seen in the table of the overall results of the line in the first option, the PU injection machine station works the most (98.44%) in the machine stations, almost operating at 100% of the machine capacity. While there are some stations with average working time such as: circuit breakers (60%); presses (58%). This means that the sprayer is congested, so some of the front and rear machines are having a lot of time to wait. In order for the machines to run stably in terms of productivity and not have too much difference in the working percentage, design and install 1 more station to act as a temporary storage and circulate products. Products at the better spraying stage, reducing the waiting time of other machines. Figure 6. Production premises of the second option After running the simulation, the second production line has the following results: Figure 7. Line yield chart 2 Figure 8. Line overview results table Figure 9. Output result 3. ANALYZE SIMULATION RESULTS From the above results, we have a table comparing the working percentages of the two options as follows: Table 1. Table comparing the results of 2 options Unit: % Xa Cat Can Chan Phun Ep Dan nilon PA1 80.42 60 79.58 79.17 98.44 58.75 58.44 PA2 92.53 69.10 91.70 92.28 98.44 67.85 67.67 From the above table, we can see that although the spraying stage in option 2 remains the same, the other stages have increased significantly: the roll discharger increased by 12.11%; cutters increased by 9.1%; rolling mills increased by 12.12%; presses increased by 13.11%; presses increased by 9.1%; nylon gluing machine increased by 9.23%. Through the above, we see that the second option is the optimal solution for the PU panel production line. 4. SUGGESTIONS FOR IMPROVEMENT To propose industrial system improvements, the following steps should be taken:

SCIENCE - TECHNOLOGY Số 13.2023 ● Tập san SINH VIÊN NGHIÊN CỨU KHOA HỌC 191
1. Analyze and evalute the current state of industrial system in using 2. Identify the problems and limitations of the current industial system 3. Leatn new, advanced technologies to apply to industrial systems 4. Proposing solutions and improving industrial systems, such as optimizing production processes, using new technologies, improving labor productivity, saving operating cost, etc. 5. Evalute and select the best solution to apply to industrial systems 6. Implement improvement solutions and evaluate effectiveness Proposals for improvement of industrial systems should be carried out by professionals with expertise and experience in the field of industrial system design and management. In addition, the proposal for improvement needs to be considered in terms of the feasibility of the solutions, as improper improvements can lead to undersirable consequences and damage operations, production and business activities of enterprises. REFERENCES [1]. Andris Freivalds, Benjamin W. Niebel, 2014. Niebel’s methods, standards and work design. [2]. Dileep R. Sule, 2008. Production planning and industrial scheduling: examples, case studies and applications. [3]. Nguyen Thi Trang Nhung. Production management course [4].. Nguyen Quoc Tuan. Design of industrial system premises. [5]. Nguyen Cong Hien, 2006. System Modeling and Simulation. Sience and Technology .Publishing House [6]. Mohan B., Rajadurai A., Satyanarayana KG., 2004. Electric discharge machining of Al–SiC metal matrix composites using rotary tube electrode. J Mater Process Technol, 153–154, 978–985. [7]. Pandya S., Menghani J., 2018. Developments of mathematical models for prediction of tensile properties of dissimilar AA6061-T6 to Cu welds prepared by friction stir welding process using Zn interlayer. Sadhana, 43/10, 1-18.

