Affiliation:
1. Czestochowa University of Technology , Faculty of Management, Department of Production Engineering and Safety , 42-200 Czestochowa , Poland
Abstract
Abstract
The article is a case study of the use of snapshot observation to analyse the factors causing time losses at selected laser burner stations, and to propose changes that will increase the effective utilization of working time. The purpose of this paper is to determine the best and worst utilization of working time at the examined workplaces, analyse the amount of time lost and identify the causes of losses, and propose solutions that will improve the utilization of working time. According to the snapshot observation, procedure 2 main - work and non-work - time fractions and 10 detailed time fractions in the working day were distinguished, and their percentage share for the analysed workstations was calculated. Analyses of the working day time utilization depending on the type of machines, days of observation, single shifts were done and selected results were averaged. The paper indicates that organizational and technical aspects, as well as the employees’ faults, were the main reasons for time losses. Research has shown that the generally examined group of workstations was characterized by a high utilization level of working time. An unfavourable phenomenon was the ratio of the main time to the auxiliary time, the high share of the maintenance time fraction of the workstations, and incorrect organization of the interoperation transport, low workers motivation, rush, and routine. It was found that further improvement of work efficiency and reduce time losses requires paying attention to the optimization of employees’ working conditions, training, motivation systems, and implementation of lean concept tools and MES/CMMS solutions into production.
Publisher
Stowarzyszenie Menedzerow Jakosci i Produkcji
Subject
Management of Technology and Innovation,Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality,Management Information Systems
Reference51 articles.
1. Aalto, A., Goncalves, J., 2019. Linear system identification from ensemble snapshot observations, 58th Conference on Decision and Control (CDC). 7554-7559, DOI: 10.1109/CDC40024.2019.9029334.
2. Al-Saleh, K.S., 2011. Productivity Improvement of a Motor Vehicle Inspection Station Using Motion and Time Study Techniques, Journal of King Saud University - Engineering Sciences, 23, 33-41.
3. Almeida, D., Ferreira, J., 2009. Analysis of the Methods Time Measurement (MTM) Methodology through its Application in Manufacturing Companies. 19th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2009), Middlesbrough, UK, DOI: 10.13140/RG.2.1.2826.1927
4. Akansel, M., Yagmahan, B., Emel, E., 2017. Determination of Standard Times for Process Improvement: A Case Study. Global Journal of Business, Economics and Management: Current Issues, 7, 62, DOI: 10.18844/gjbem.v7i1.1400
5. Anvari, F., Edwards, R., Starr, A., 2010. Evaluation of overall equipment effectiveness based on market, Journal of Quality in Maintenance Engineering, 16, 256-270, DOI: 10.1108/13552511011072907
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献