车桥厂总装车间的设施规划与物流分析外文翻译资料

 2022-08-09 10:08

IOP Conf. Series: Journal of Physics: Conf. Series 1311 (2019) 012020 doi:10.1088/1742-6596/1311/1/012020

Logistics analysis and simulation in the intelligent manufacturing workshop

Ping Ni*, Yunxia Wang, and Di Chen

School of Mechanical Engineering, Nanjing Institute of Technology, Nanjing, China Corresponding author: 3034933478@qq.com

Abstract:This paper aims to study the internal logistics system of manufacturing enterprises,

and use the logistics analysis and modeling methods to plan and simulate the layout of the workshop. Firstly, the SLP (Systematic Layout Planning) method is planned for a specific enterprise. Secondly, the Flexsim software and the ExSpect software are used to simulate the logistics of the planned workshop. The Flexsim software is used to know the facility utilization rate, and the cause of the blockage is analyzed. The improvement measure of adding one casting machine and static furnace is proposed to solve the problem of equipment blockage. The modeling and analysis of the workshop is carried out in combination with Petri net, and the total working hours of production and processing are obtained through ExSpect software simulation.

1. Introduction

In the intelligent manufacturing environment, manufacturing companies are pursuing the maximization of the profit of high-quality products, so reducing costs and improving the quality of products are crucial to the survival and development of enterprises. The production cost of the enterprise includes the procurement cost, the management cost, the transportation cost, etc., and the material handling cost accounts for 20%~50% in the enterprise[1]. Related research shows that logistics management and supply chain optimization can greatly reduce transportation costs and supply chain costs. Therefore, the analysis and improvement of enterprise logistics have great practical significance. This paper firstly conducts planning of SLP for a hot rolling shop, then uses Flexsim and ExSpect software to simulate the shop floor logistics in order to analyze and optimize the results.

SLP analysis of a hot rolling shop

The workshop processes 210 tons of raw materials per day. The processing losses of the melting furnace, the static furnace, the sawing machine, the milling machine, the hot rolling machine and the

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Published under licence by IOP Publishing Ltd 1

IOP Conf. Series: Journal of Physics: Conf. Series 1311 (2019) 012020 doi:10.1088/1742-6596/1311/1/012020

band sawing machine are: 2%, 1.5%, 3%, 9%, 2%, 13%. The losses of the melting furnace and the static furnace are the slag discharge after heating, and the losses of other equipment are to transport the surplus material to the recycling packaging area where the excess material can be collected and then transported to the recycling storage area for reuse[2].

The logistics diagram and non-logistics diagram as shown in Fig.1 and Fig. 2 are obtained through SLP method of facility planning. And the comprehensive diagram and the area graph based on them are gained ,which are shown in Fig.3 and Fig.4.

Fig.1. Logistics diagram Fig.2 .Non- logistics diagram

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Fig.3. Comprehensive diagram Fig.4. Area graph for workshops

The candidate plan for the factory floor is shown in Fig.5. In the second scheme, the finished product storage area is too close to the hot rolling area whose high temperature can affect the quality of the products; and the transportation route from the band sawing area to the finished product storage area is long; and the finished product storage area is too far from the gate. Finally, the first option is selected as a result of taking into account the above factors.

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toilet

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garage

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Fig.5. Candidate plan for layout of workshops Fig.6. Flexsim simulation model

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IOP Conf. Series: Journal of Physics: Conf. Series 1311 (2019) 012020 doi:10.1088/1742-6596/1311/1/012020

The Flexsim and ExSpect software are used to simulate the planned workshop, and the unreasonable points in the system are improved based on the results of the simulation.

Flexsim simulation

The model shown in Fig.6 is established according to the processing time of each equipment and the relevant information of the route of hot rolling process[3-4].

Table 1. Status Report

Object

Idle

Processin g

Blockin g

melting

5.11%

94.89%

0.00%

melting

7.02%

91.36%

1.62%

static

79.41%

20.59%

0.00%

degassing

93.98%

1.73%

4.29%

casting

71.78%

24.77%

0.00%

sawing

95.10%

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