manufacturing cell
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2022 ◽  
Vol 12 (2) ◽  
pp. 854
Author(s):  
Zuzana Soltysova ◽  
Vladimir Modrak ◽  
Julia Nazarejova

Research of manufacturing cell design problems is still pertinent today, because new manufacturing strategies, such as mass customization, call for further improvement of the fundamental performance of cellular manufacturing systems. The main scope of this article is to find the optimal cell design(s) from alternative design(s) by multi-criteria evaluation. For this purpose, alternative design solutions are mutually compared by using the selected performance criteria, namely operational complexity, production line balancing rate, and makespan. Then, multi-criteria decision analysis based on the analytic hierarchy process method is used to show that two more-cell solutions better satisfy the determined criteria of manufacturing cell design performance than three less-cell solutions. The novelty of this research approach refers to the use of the modification of Saaty’s scale for the comparison of alternatives in pairs based on the objective assessment of the designs. Its benefit lies in the exactly enumerated values of the selected criteria, according to which the points from the mentioned scale are assigned to the alternatives.


Author(s):  
Anna Stadermann ◽  
Martin Gamer ◽  
Jürgen Fieder ◽  
Benjamin Lindner ◽  
Steffen Fehrmann ◽  
...  

2021 ◽  
Vol 10 (4) ◽  
pp. 65
Author(s):  
João Cunha ◽  
Nelson Batista ◽  
Carlos Cardeira ◽  
Rui Melicio

Many industries, such as aeronautics construction are still equipped with legacy machines and are not keen to change old, however fully functional, equipment to new ones. Hence, an upgrade must be found to cope the legacy and fully functional machines to IoT technologies. This paper is a contribution to embrace those challenges in a new IoT architecture able to support the creation of solutions for Smart Industries. Internet of Things is increasing acceptance and the infrastructure for them is becoming available. This leads to an insurgence on investments and development of new dedicated IoT infrastructures. Industries need to adapt quickly to this constant technological evolution, implementing measures and connecting machines and robots at critical points to the Internet, instrumenting them using the concept of IoT, with the major goal of implementing a flexible, secure, easy to maintain and capable to evolve infrastructure, when legacy equipment is involved. The availability of machines and other critical assets directly affects the effectiveness of manufacturing operations. The architecture design offers security, flexibility, simplicity of implementation and maintenance, and is resilient to failures or attacks and technologically independent. Field tests are reported to evaluate key aspects of the proposed architecture.


2021 ◽  
Vol 1 (1) ◽  
pp. 9-17
Author(s):  
Nguyen Van Thanh ◽  
Nguyen Thai Nguyet Thanh ◽  
Nguyen Viet Tinh

In recent years, the process of cellular manufacturing and group technology have received a lot of attention and popularity in many developed countries. By applying Group Technology (GT), many benefits of flow-line production can be attained in a batch production system. GT improves material handling significantly by reducing material flow time, distance, and setup times. In this paper, an earnest investigative attempt was made to provide valuable information regarding the use of Group Technology by applying to a real world jobshop system. The proposed GT model has the flexibility of choosing the number of cells required, which is very useful in examining different manufacturing cell configurations; or in case the workshop or factory prefers a certain number of work cells. The GT model results were found satisfactory and superior to other techniques in some cases.


2021 ◽  
Vol 11 (15) ◽  
pp. 6940
Author(s):  
Vladimir Modrak ◽  
Ranjitharamasamy Sudhakara Pandian ◽  
Pavol Semanco

In manufacturing-cell-formation research, a major concern is to make groups of machines into machine cells and parts into part families. Extensive work has been carried out in this area using various models and techniques. Regarding these ideas, in this paper, experiments with varying parameters of the popular metaheuristic algorithm known as the genetic algorithm have been carried out with a bi-criteria objective function: the minimization of intercell moves and cell load variation. The probability of crossover (A), probability of mutation (B), and balance weight factor (C) are considered parameters for this study. The data sets used in this paper are taken from benchmarked literature in this field. The results are promising regarding determining the optimal combination of the genetic parameters for the machine-cell-formation problems considered in this study.


2021 ◽  
Author(s):  
Shuai Zhang ◽  
Shiqi Li ◽  
Haipeng Wang ◽  
Xiao Li

Abstract The manufacturing industry was moving towards the trend of short run production and personalized customization. That results in the challenge of the efficiency of task adjustment and the complexity of tasks for robots. Thus, this paper developed the intelligent manufacturing cell based on human-robot collaboration(HRC-IMC), combining the intelligence of cobot with that of human. And the intelligent manufacturing cell was composed with the modules of imitating learning, human-robot safety planning, task planning and visual inferring. Moreover, all modules were designed to provide a set of systematic and e ective method which can improve the efficiency of task planning and new task learning. The experimental results indicated that the the efficiency of task adjustment of HRC-IMC can be increased 42.8 % than that of Moveit. All in all, this study is of great significance for improving the efficiency of new task planning of cobots by digitizing the manipulation experience of human.


2021 ◽  
Author(s):  
Tavo Kangru ◽  
Kashif Mahmood ◽  
Madis Moor ◽  
Tauno Otto ◽  
J\xfcri Riives

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