Reliability Evaluation for Pressure Vessel Enterprises Manufacturing Execution System

2011 ◽  
Vol 179-180 ◽  
pp. 1356-1363
Author(s):  
Zhi Hui Huang ◽  
Shu Lin Kan ◽  
Liang Wen Yan ◽  
Jun Li ◽  
Qi Hong Chen

This paper discussed an integrating manufacturing execution system in pressure vessel industry. MES optimizations (MESO) is a reliability growth process which is applicable to manufacturing firms to unify the supply chain plan, the service and the production automation, transferring the company's service goal to the definite operation goal and realizing the multi-varieties, multi-batch, high quality and low-cost of the production demand. This system is a complex operating system which is composed of certain subsystems, and it could complete the specified function. Basing on the MES functional module, this paper has investigated on the enterprise productive plan and scheduling module to realise the reliability growth and product quality improvement as well as some key technical strategies. Combined with the quantitative evaluation and analysis method of the reliability engineering, the paper also made an analysis for the numerous resources entity and functional module of the overall system and formed a research subject on the theory relative to the reliability growth of the MES. The research on the case has a certain instruction function for the enterprise which is going to put the MES into effect.

2011 ◽  
Vol 467-469 ◽  
pp. 862-865 ◽  
Author(s):  
Zhi Hui Huang ◽  
Shu Lin Kan ◽  
Liang Wen Yan ◽  
Jun Li

Honeywell Business FLEX® PKS™ is a manufacturing executive system(MES) which is applicable to the process manufacturing firm to unify the supply chain plan, the service and the production automation, transferring the company's service goal to the definite operation goal and realizing the multi-varieties, multi-batch, high quality and low cost of the production demand. This paper has investigated on the enterprise productive plan and scheduler module to realise the system optimizations and product quality improvement as well as some key technical strategies. The paper also made an analysis for the numerous resources entity and functional module of the overall system and formed a research subject on the theory relative to the reliability growth of the MES. The research on the case has a certain instruction function for the enterprises which are going to put the MES into accurate, real-time data improves the decision-making process, and the resulting decisions improve customer service for all related information.


2014 ◽  
Vol 590 ◽  
pp. 763-767
Author(s):  
Zhi Hui Huang

This paper aiming at the zero-failure data and uncertain-decision problems exist in the information system reliability growth process, it proposes to build the Bayesian network topology of FMEA. It adopts Leaky Noisy-OR model, and it analyses the probability that the subsystem functional module will go wrong in quantity. It solves the problem of identifying the vague and incomplete information exists in the complex system rapidly and accurately, laying the foundation for further study of the reliability growth comprehensive ability assessment of system based on the Bayesian network. In this paper, on the background of Manufacturing Execution Systems (MES) engineering, aimed at research on models and evaluation methods of reliability growth for MES, enclosing reliability of MES task and design target, reliability growth test and analysis methods, it proposes the goal of MES reliability growth planning.


Author(s):  
Jaroslav Znamenák ◽  
Gabriela Križanová ◽  
Miriam Iringová ◽  
Pavel Važan

Abstract Due to the increasing competitive environment in the manufacturing sector, many industries have the need for a computer integrated engineering management system. The Manufacturing Execution System (MES) is a computer system designed for product manufacturing with high quality, low cost and minimum lead time. MES is a type of middleware providing the required information for the optimization of production from launching of a product order to its completion. There are many studies dealing with the advantages of the use of MES, but little research was conducted on how to implement MES effectively. A solution to this issue are KPIs. KPIs are important to many strategic philosophies or practices for improving the production process. This paper describes a proposal for analyzing manufacturing system parameters with the use of KPIs.


2021 ◽  
Vol 236 ◽  
pp. 04033
Author(s):  
Shi Shanhai ◽  
Lv Jianqun ◽  
Xu Yongqian ◽  
Xie Xiangyong ◽  
Zhong Haoxian

A device is proposed, which can be used to upgrade the informatization process of old equipment and information isolated island equipment of ceramic enterprises. It has the characteristics of standard, high efficiency, low cost and low risk. The universal fast interface does not interfere with the control system of the device itself when connected to the device. It can obtain data that the target device system has but is not open or the system does not have. Then, the device use the standard industrial communication protocol to transmit the data to the manufacturing execution system in accordance with the agreed data format. This method lay a good foundation for the informatization upgrade and optimization of the data. Furthermore it can be used to optimize and control production. Finally, in enterprise applications, it shows that the device has certain economic and social benefits.


2010 ◽  
Vol 20-23 ◽  
pp. 1084-1090 ◽  
Author(s):  
Wen Long

Manufacturing Execution System (MES) links plan management and workshop control in an enterprise, which is an integrative management and control system of workshop production oriented to manufacturing process. To overcome the difficulties of traditional software development method, development of MES based on component is adopted to prompt development efficiency and performance of MES, which can be more reconstructing, reuse, expansion and integration, and MES domain analysis driven by ontology is investigated in detail. MES domain analysis driven by ontology is feasible and efficient through developing a pharmaceutics MES which applied in a pharmaceutics manufacturing factory.


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