scholarly journals Robust Assembly Assistance Using Informed Tree Search with Markov Chains

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 495
Author(s):  
Arpad Gellert ◽  
Radu Sorostinean ◽  
Bogdan-Constantin Pirvu

Manual work accounts for one of the largest workgroups in the European manufacturing sector, and improving the training capacity, quality, and speed brings significant competitive benefits to companies. In this context, this paper presents an informed tree search on top of a Markov chain that suggests possible next assembly steps as a key component of an innovative assembly training station for manual operations. The goal of the next step suggestions is to provide support to inexperienced workers or to assist experienced workers by providing choices for the next assembly step in an automated manner without the involvement of a human trainer on site. Data stemming from 179 experiment participants, 111 factory workers, and 68 students, were used to evaluate different prediction methods. From our analysis, Markov chains fail in new scenarios and, therefore, by using an informed tree search to predict the possible next assembly step in such situations, the prediction capability of the hybrid algorithm increases significantly while providing robust solutions to unseen scenarios. The proposed method proved to be the most efficient for next assembly step prediction among all the evaluated predictors and, thus, the most suitable method for an adaptive assembly support system such as for manual operations in industry.

2020 ◽  
Vol 1 (2) ◽  
pp. 12-20
Author(s):  
Zuraida Hassan ◽  
Chandrakantan Subramaniam ◽  
Md. Lazim Mohd. Zain ◽  
Subramaniam Sri Ramalu ◽  
Faridahwati Mohd Shamsudin

The manufacturing sector in Malaysia is categorized as one of the dangerous work sectors with a high accident record. The use of heavy machinery, unsafe working conditions, and hazardous materials handling is among the causes of many work-related accidents recorded among factory workers. In addition, the lack of safety training and low safety management commitment towards worker safety also contributed to the increasing number in this statistic. The goal of this investigation is to determine the link between management commitment and safety training on safety behaviour among workers. This study involved small and medium factory workers operating in the northern states of peninsular Malaysia. The data for this study was obtained using a questionnaire, while the Statistical Packages for Social Science (SPSS) application was used to perform the data analysis process. The results of the data analysis show that employers' commitment to safety and safety training has a positive relationship with safety behaviour among study respondents. Suggestions and improvements to the study are presented at the end of this writing.


2019 ◽  
Vol 16 (8) ◽  
pp. 663-664 ◽  
Author(s):  
Jasleen K. Grewal ◽  
Martin Krzywinski ◽  
Naomi Altman
Keyword(s):  

2013 ◽  
Author(s):  
Sophie de Sausmarez ◽  
Visarut Rakmanusa ◽  
Bhaqthada Jarupornpanich ◽  
Nanat Phuvathanarak ◽  
Panuwat Tosaksit ◽  
...  

2020 ◽  
Vol 6 (1) ◽  
pp. 18-39
Author(s):  
Areena Zaini ◽  
Haryantie Kamil ◽  
Mohd Yazid Abu

The Electrical & Electronic (E&E) company is one of Malaysia’s leading industries that has 24.5% in manufacturing sector production. With a continuous innovation of E&E company, the current costing being used is hardly to access the complete activities with variations required for each workstation to measure the un-used capacity in term of resources and cost. The objective of this work is to develop a new costing structure using time-driven activity-based costing (TDABC) at . This data collection was obtained at E&E company located at Kuantan, Pahang that focusing on magnetic component. The historical data was considered in 2018. TDABC is used to measure the un-used capacity by constructing the time equation and capacity cost rate. This work found three conditions of un-used capacity. Type I is pessimistic situation whereby according to winding toroid core, the un-used capacity of time and cost are -14820 hours and -MYR2.60 respectively. It means the system must sacrifice the time and cost more than actual apportionment. Type II is most likely situation whereby according to assembly process, the un-used capacity of time and cost are 7400 hours and MYR201575.45 respectively. It means the system minimize the time and cost which close to fully utilize from the actual apportionment. Type III is optimistic situation whereby according to alignment process, the un-used capacity of time and cost are 4120 hours and MYR289217.15 respectively. It means the system used small amount of cost and time from the actual apportionment.


2012 ◽  
Vol 2 (5) ◽  
pp. 368-370
Author(s):  
Baig Mansur Ibrahim ◽  
◽  
Dr. K.Tamizhjyothi Dr. K.Tamizhjyothi

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