Systematic Layout Planning and Balancing of Engine Production Processes for After Test and After Paint Assembly Lines

Author(s):  
R. Durga Prasad ◽  
K. Vishwa Kumar ◽  
P.A Jeeva

This paper is aimed at reducing the costs, maintaining the quality and designing the plant layout that is flexible to meet the customer demand. A number of stations in the after test assembly and after paint assembly are selected for capturing the production process requirements. Then, failure mode and effects analysis of after test assembly is carried out. Layout designs for the after test assembly and after paint assembly are developed using systematic layout planning and are validated using Spaghetti diagrams. With the improved layout, considerable reduction in the distance moved by the operator has resulted in 20 percent cost saving at 80 percent Takt time.

2016 ◽  
Vol 51 (1) ◽  
pp. 25-41
Author(s):  
Tin Matulja ◽  
Marko Hadjina ◽  
Damir Kolić

The authors propose a synergy of expert approach methods through the Systematic layout planning (SLP) and Analytic Hierarchy Process (AHP) as tools for the shipyard production process design towards an optimal material flow, in combination with Simulation modeling (SM). Most production process designs are based on the conventional methodology of comparison initiating with benchmarking. Such approach can be misleading. For more reliable and efficient results, the approach suggested by the authors uses a combination of the mentioned three methods within the frame of an expert approach. Firstly, the Systematic layout planning is used for generating a larger number of suboptimal shipyard production process design alternatives. Then, these alternatives are analyzed through an objective decision making tool to reach an optimal material flow alternative. Further, such optimal alternative is tested and evaluated by Simulation modeling (SM). Finally, the presented methodology is confirmed on a case study as a viable approach to an efficient and reliable shipyard production process design.


2013 ◽  
Vol 459 ◽  
pp. 356-360 ◽  
Author(s):  
Jun Hao Xu ◽  
Hong Bing Yang ◽  
Zai Liang Chen ◽  
Fang Yan Mao ◽  
Hong Tao Wang

Due to introduction of new vehicle models, an automobile manufacturing enterprise usually needs to make corresponding adjustments of the facility layout of the door welding workshop. On the basis of analyzing the production process and logistics characteristics of the welding line, the facility layout of the workshop is improved and the production logistics cost is reduced by using the SLP (Systematic Layout Planning) and internal logistics analysis method. Finally, a real production example is given to illustrate the effectiveness of the proposed method.


2021 ◽  
Vol 13 (12) ◽  
pp. 6850
Author(s):  
Guido J. L. Micheli ◽  
Annamaria Rampoldi ◽  
Fabrizio Baccanti

Some people may be disadvantaged on the labor market because of their lower productivity; still, they have the same right to be employed as any other citizen. Social cooperatives employ disabled workers who are trained and supported in developing their abilities through individualized paths and targeted techniques. For the cooperatives to survive on the labor market, an improvement of management procedures and internal organization is required. To achieve this result, an optimal arrangement of activities must be determined to streamline the production processes, which is why Systematic Layout Planning (SLP) has been modified and adapted to fit disabled workers contexts. The factors of social cooperatives influencing the layout study have been determined and introduced into the classic SLP; the new methodology has been applied at L’Iride, a social cooperative developed through the years. The new layout has shown an improvement in space saturation of 219.2% and 197.5% considering the years 2019 and 2020. This paper provides social cooperatives with a revised SLP, including social factors, to enhance the disabled workers situation.


2019 ◽  
Vol 15 (3) ◽  
Author(s):  
Estela Vitória Da Silva e Silva ◽  
Samantha Costa De Sousa ◽  
Sarah Nascimento Ribeiro ◽  
Tiago Silva Dos Santos ◽  
Nathália Jucá Monteiro

A legislação brasileira define parâmetros e propõe métodos que visam a garantia da saúde e segurança no trabalho. Dentre estes métodos, está o mapeamento de riscos de acidentes. Neste artigo foi abordada a aplicação do modelo FMEA (Failure Mode and Effects Analysis) que juntamente com o mapa de risco vislumbraram informações essenciais sobre as probabilidades de ocorrência de acidentes e as possíveis gravidades dos riscos em um laboratório de polímeros e processos de transformações de materiais, de um centro universitário no sudeste do estado do Pará, no município de Marabá. Houve uma visão detalhada dos processos do ambiente estudado, e com isso, propostas de melhorias ao layout foram dadas através da aplicação da metodologia SLP (Systematic Layout Planning). Logo, esta pesquisa teve como objetivo analisar as condições em relação a segurança do trabalho, as disponibilidades de equipamentos de proteção, e além disso se propôs um modelo de mapa de risco, layout planejado e um parâmetro de possíveis falhas que podem proporcionar maiores ricos ocupacionais, tornando assim os profissionais e acadêmicos, que atuam no laboratório, menos vulneráveis a acidentes.


Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3659
Author(s):  
Andrzej Szajna ◽  
Mariusz Kostrzewski ◽  
Krzysztof Ciebiera ◽  
Roman Stryjski ◽  
Waldemar Woźniak

Industry 4.0, a term invented by Wolfgang Wahlster in Germany, is celebrating its 10th anniversary in 2021. Still, the digitalization of the production environment is one of the hottest topics in the computer science departments at universities and companies. Optimization of production processes or redefinition of the production concepts is meaningful in light of the current industrial and research agendas. Both the mentioned optimization and redefinition are considered in numerous subtopics and technologies. One of the most significant topics in these areas is the newest findings and applications of artificial intelligence (AI)—machine learning (ML) and deep convolutional neural networks (DCNNs). The authors invented a method and device that supports the wiring assembly in the control cabinet production process, namely, the Wire Label Reader (WLR) industrial system. The implementation of this device was a big technical challenge. It required very advanced IT technologies, ML, image recognition, and DCNN as well. This paper focuses on an in-depth description of the underlying methodology of this device, its construction, and foremostly, the assembly industrial processes, through which this device is implemented. It was significant for the authors to validate the usability of the device within mentioned production processes and to express both advantages and challenges connected to such assembly process development. The authors noted that in-depth studies connected to the effects of AI applications in the presented area are sparse. Further, the idea of the WLR device is presented while also including results of DCNN training (with recognition results of 99.7% although challenging conditions), the device implementation in the wire assembly production process, and its users’ opinions. The authors have analyzed how the WLR affects assembly process time and energy consumption, and accordingly, the advantages and challenges of the device. Among the most impressive results of the WLR implementation in the assembly process one can be mentioned—the device ensures significant process time reduction regardless of the number of characters printed on a wire.


2013 ◽  
Vol 842 ◽  
pp. 695-702
Author(s):  
Ying Wang ◽  
You Rong Li ◽  
Yu Qiong Zhou

To enlarge production to meet the market demand, its nessasery to improve the present facility layout for MTO (Make-To-Order) manufacturing enterprises. This paper tries to design a optimization method based on genetic algorithm for the facility layout of MTO enterprises. Firstly, SLP (systematic layout planning) was applied to analyze the material and non-material flow interrelation of the workshop. Secondly, a relatively optimum layout was determined after using fuzzy hierarchy estimation to evaluate the schemes. Then the scheme was optimized with genetic algorithm. The result shows that the optimized logistics transport load is obviously less than before. This design method based on genetic algorithm (GA) is proved feasible and effective in the optimization of facility layout.


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