scholarly journals Classification method of production system equipment importance based on grey correlation interval AHP-Entropy method

2020 ◽  
Vol 14 (6) ◽  
pp. JAMDSM0094-JAMDSM0094
Author(s):  
Binbin XU ◽  
Ziyue WANG ◽  
Wei LUO ◽  
Tianqi MA
2020 ◽  
pp. 139-165
Author(s):  
Yeong-Hee Choi

The purpose of this article is to examine the making and development through the pattern in which the roof tiles have been produced and distributed in the area of Kyungju. According to the technical characteristics and combination patterns of the flat and Roof-end tiles, the tiles were divided into three main types. The author examined the method of production by system. As a result, it was found that each tile making responded to the tile demand throughout the capital by sharing information such as standard, wadang patterns, and the use of early rock mules, while maintaining independent production based on different manufacturing methods. Later, at some point in the 7th century, tile-making methods are stereotyped, existing sizes are changed little by little, and there is a change in the appearance of low-grade wadang patterns that are easy to distribute and use, regardless of differences in production relics. This means that there is a governmental system of production in the Gyeongju area and multiple groups of tile makers are incorporated into the system. In other words, similar changes in the system are being identified in the same period Baekje and Ginai in Japan in a way that leads to the efficiency of the production and distribution structure through institutional readjustment rather than dismantling existing groups. With the advent of tile styled of Reunified Shilla another change occurs in tile production. From the late 7th century onwards, it is a change that focuses on the visual aspect focused on design, including the creation of new and diverse wadang patterns for a certain period of time, the replacement of Wabum structures to effectively decorate them, and the use of differentiated tile components. But this pattern does not deviate significantly from the framework of the state-run production system formed seven centuries ago. The analysis of the two cases of Jungbyun structure s Yeonhwamun Roof-end tiles shows that a number of Wabums and Roof-end tiles were produced in common at various production sites, and this phenomenon is not much different from those of the Silla-styled Yeonhwamun Roof-end tiles dating back to the 7th century. However, the willingness of those days to produce quality roof tiles with elegant patterns rather results in the concentration of some groups of productive forces, such as pottery sites of Geumjangri and Dakyung. Intensive production of the engraved Amkiwa in the 8th year of Uibong is also the result of this transition. Later, as the 8th century entered, tile production was reorganized: the flat tiles were produced fewer and their weight became lighter while the design was schematized. If reflects the tendency that the functional value was prefered.


2012 ◽  
Vol 516 ◽  
pp. 166-169
Author(s):  
Shunsuke Oike ◽  
Tomohisa Tanaka ◽  
Jiang Zhu ◽  
Yoshio Saito

This research proposes a method of production scheduling using autonomous distributed systems. A concrete message protocol is proposed to realize the production scheduling which includes not only Machine but also Human and AGV scheduling. Moreover this method realizes real time scheduling and parallel scheduling. Therefore, a new structure of production scheduling is proposed, which can realize a change of the type of production scheduler to correspond with a type of production system.


2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Lifeng Wu ◽  
Xiaorui Guo ◽  
Yan Chen

The implementation of the Beijing-Tianjin-Hebei coordinated development strategy promotes the rapid development of the regional economy, but the consequent water shortage has become a major concern. How to optimize the allocation of water resources, promote the cooperation of water resources among various water-using departments, and maximize the water efficiency of the limited water resources in the region has become the main issue of research. Thus, this paper mainly studies the entropy value and the entropy difference of the grey relational entropy between water resources and economic systems. First, use the grey correlation entropy method to calculate the existing data to explore the relationship between the two systems, then use the FGM(1, 1) model to predict the grey correlation entropy value of Beijing-Tianjin-Hebei in 2020–2024, and finally, calculate the entropy difference of the grey relation entropy for the region from 2015 to 2024. The results show the following: (i) The connection between the water resources system and the economic system in the Beijing-Tianjin-Hebei region is poor, the entropy value between the two will continue to decrease from 2015 to 2024, and the degree of coordination has shown a decreasing trend. (ii) The entropy change value between the water resources system and the economic system in the Beijing-Tianjin-Hebei region reflects a gradual and orderly change trend. The research results can provide reasonable suggestions for improving the correlation between water resources and economic systems for government departments, local residents, and industrial enterprises in the Beijing-Tianjin-Hebei region, ultimately realizing the sustainable development of water resources and economic systems.


BioResources ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. 6752-6765
Author(s):  
Roman Bambura ◽  
Erika Sujová ◽  
Helena Čierna

Computer simulation methods are currently used to simulate production processes and optimize production systems. Computer simulation is one of the most effective tools for implementation of Industry 4.0 principles in industrial practice. This research focused on the optimization of production processes in furniture production using simulation, which is an innovative method of production optimization for furniture manufacturers. The aim of this research was to improve the production system of Slovak furniture manufacturing enterprise by creating a discrete event simulation model of production based on the analysis of its current state. Improvement indicators are specific parameters of the production system, which primarily include material flow, productivity, and workload utilization. First, with the use of Tecnomatix Plant Simulation software and the collected real production data, the original production system processes were simulated and analyzed. Second, the incorporation of more powerful devices was proposed to improve the production line. Third, the proposed improvements were simulated and analyzed. The result of this research was a statistical comparison of the parameters of the current production line and the proposed production improvements.


2007 ◽  
Vol 1 (1) ◽  
pp. 181-192 ◽  
Author(s):  
Shinsuke KONDOH ◽  
Yasusi UMEDA ◽  
Hisashi TOGAWA

2014 ◽  
Vol 1046 ◽  
pp. 545-549 ◽  
Author(s):  
Qiu Qin Lu ◽  
Qiao Zhao

On the basis of the establishment of evaluation index system, an improved entropy weight – grey correlation – TOPSIS model is put forward to select project supply chain vendor, and process the related data. The each index weight is obtained from subjective weighting method and objective entropy method. The positive and negative distance between each evaluation object and ideal solution is calculated, and the grey correlation grade between each evaluation object and ideal solution is obtained. Then the relative closeness of each evaluation object can be gained that we can select the best vendor according to it.


2020 ◽  
Vol 11 (1) ◽  
pp. 171
Author(s):  
Iwona Paprocka ◽  
Damian Krenczyk ◽  
Anna Burduk

Production and maintenance tasks apply for access to the same resources. Maintenance-related machine downtime reduces productivity, but the costs incurred due to unplanned machine failures often outweigh the costs associated with predictive maintenance. Costs incurred due to unplanned machine failure include corrective maintenance, reworks, delays in deliveries, breaks in the work of employees and machines. Therefore, scheduling of production and maintenance tasks should be considered jointly. The problem of generating a predictive schedule with given constrains is considered. The objective of the paper is to develop a scheduling method that reflects the operation of the production system and nature of disturbances. The original value of the paper is the development of the method of a basic schedule generation with the application of the Ant Colony Optimisation. A predictive schedule is built by planning the technical inspection of the machine at time of the predicted failure-free time. The numerical simulations are performed for job/flow shop systems.


Author(s):  
О.Е. Семенкина ◽  
И.С. Рыжиков ◽  
Л.В. Липинский ◽  
Е.А. Попов

Предложен метод моделирования для разработки систем поддержки принятия решений (СППР) в оперативном планировании производства. Обладая гибкостью в описании технологических процессов и простотой в масштабировании модели производственных систем, метод обеспечивает детальное планирование, включая сменно-суточные задания. Апробирован в СППР аффинажного производства. The paper proposes a method for production systems modeling for development of decision support systems (DSS) in operational planning. It allows to create a detailed plan, including shift-daily tasks, while having flexibility in describing technological processes and simplicity in scaling the model. The developed method was used to create a DSS for refining production.


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