PRODUCTION PLANNING AND “DEFINE, MEASURE AND ANALYSIS“ TOOLS IN AUTOMOTIVE INDUSTRY AS PREREQUISITE OF AUTOMATION: A CASE STUDY
2023
Аутори
Janev, NemanjaSpasojević Brkić, Vesna
Misita, Mirjana
Mihajlović, Ivan
Perišić, Martina
Papić, Neda
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
For the production planning process to be successful, an enterprise's internal business processes
must be effective and efficient, while the DMAIC cycle is important aspect of practice-based continuous
improvement. In accordance to those facts, this preliminary research includes the first part of the DMAIC
methodology - “define“ and “measure“ tools, applied to a case study in automotive industry, with the aim of
improving production planning processes. Analysis in “define“ phase starts with SIPOC, continues with
calculation of critical indicators in “measure“ phase and is followed by Pareto charts. Research shows that
the existing method of manual collection of production data is not precise enough, and during two months
observation period, between 14 and 52 percent of planned production time on 9 observed machines, passed
as unnoticed downtime. Further data analysis showed that this time is 1.5 to 9 times higher than the total
reported downtime on individual machines. Results... show that the further development of data collection
tools is crucial, and the recommendation is to move in the direction of automation of that process in order
to make the most of available technical resources, in “improve“ phase and to “control“ it by statistical
comparison of previous and new state indicators
Кључне речи:
DMAIC / Automotive industry / Production data / Process automationИзвор:
Proceedings on 19th International Conference on Industrial Systems – IS’23, 2023, 19, 390-395Издавач:
- Industrial Innovation in Digital Age
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200105 (Универзитет у Београду, Машински факултет) (RS-MESTD-inst-2020-200105)
- RESMOD Safera project
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Janev, Nemanja AU - Spasojević Brkić, Vesna AU - Misita, Mirjana AU - Mihajlović, Ivan AU - Perišić, Martina AU - Papić, Neda PY - 2023 UR - https://machinery.mas.bg.ac.rs/handle/123456789/7111 AB - For the production planning process to be successful, an enterprise's internal business processes must be effective and efficient, while the DMAIC cycle is important aspect of practice-based continuous improvement. In accordance to those facts, this preliminary research includes the first part of the DMAIC methodology - “define“ and “measure“ tools, applied to a case study in automotive industry, with the aim of improving production planning processes. Analysis in “define“ phase starts with SIPOC, continues with calculation of critical indicators in “measure“ phase and is followed by Pareto charts. Research shows that the existing method of manual collection of production data is not precise enough, and during two months observation period, between 14 and 52 percent of planned production time on 9 observed machines, passed as unnoticed downtime. Further data analysis showed that this time is 1.5 to 9 times higher than the total reported downtime on individual machines. Results show that the further development of data collection tools is crucial, and the recommendation is to move in the direction of automation of that process in order to make the most of available technical resources, in “improve“ phase and to “control“ it by statistical comparison of previous and new state indicators PB - Industrial Innovation in Digital Age C3 - Proceedings on 19th International Conference on Industrial Systems – IS’23 T1 - PRODUCTION PLANNING AND “DEFINE, MEASURE AND ANALYSIS“ TOOLS IN AUTOMOTIVE INDUSTRY AS PREREQUISITE OF AUTOMATION: A CASE STUDY EP - 395 SP - 390 VL - 19 DO - 10.24867/IS-2023-T6.2-6_07541 ER -
@conference{ author = "Janev, Nemanja and Spasojević Brkić, Vesna and Misita, Mirjana and Mihajlović, Ivan and Perišić, Martina and Papić, Neda", year = "2023", abstract = "For the production planning process to be successful, an enterprise's internal business processes must be effective and efficient, while the DMAIC cycle is important aspect of practice-based continuous improvement. In accordance to those facts, this preliminary research includes the first part of the DMAIC methodology - “define“ and “measure“ tools, applied to a case study in automotive industry, with the aim of improving production planning processes. Analysis in “define“ phase starts with SIPOC, continues with calculation of critical indicators in “measure“ phase and is followed by Pareto charts. Research shows that the existing method of manual collection of production data is not precise enough, and during two months observation period, between 14 and 52 percent of planned production time on 9 observed machines, passed as unnoticed downtime. Further data analysis showed that this time is 1.5 to 9 times higher than the total reported downtime on individual machines. Results show that the further development of data collection tools is crucial, and the recommendation is to move in the direction of automation of that process in order to make the most of available technical resources, in “improve“ phase and to “control“ it by statistical comparison of previous and new state indicators", publisher = "Industrial Innovation in Digital Age", journal = "Proceedings on 19th International Conference on Industrial Systems – IS’23", title = "PRODUCTION PLANNING AND “DEFINE, MEASURE AND ANALYSIS“ TOOLS IN AUTOMOTIVE INDUSTRY AS PREREQUISITE OF AUTOMATION: A CASE STUDY", pages = "395-390", volume = "19", doi = "10.24867/IS-2023-T6.2-6_07541" }
Janev, N., Spasojević Brkić, V., Misita, M., Mihajlović, I., Perišić, M.,& Papić, N.. (2023). PRODUCTION PLANNING AND “DEFINE, MEASURE AND ANALYSIS“ TOOLS IN AUTOMOTIVE INDUSTRY AS PREREQUISITE OF AUTOMATION: A CASE STUDY. in Proceedings on 19th International Conference on Industrial Systems – IS’23 Industrial Innovation in Digital Age., 19, 390-395. https://doi.org/10.24867/IS-2023-T6.2-6_07541
Janev N, Spasojević Brkić V, Misita M, Mihajlović I, Perišić M, Papić N. PRODUCTION PLANNING AND “DEFINE, MEASURE AND ANALYSIS“ TOOLS IN AUTOMOTIVE INDUSTRY AS PREREQUISITE OF AUTOMATION: A CASE STUDY. in Proceedings on 19th International Conference on Industrial Systems – IS’23. 2023;19:390-395. doi:10.24867/IS-2023-T6.2-6_07541 .
Janev, Nemanja, Spasojević Brkić, Vesna, Misita, Mirjana, Mihajlović, Ivan, Perišić, Martina, Papić, Neda, "PRODUCTION PLANNING AND “DEFINE, MEASURE AND ANALYSIS“ TOOLS IN AUTOMOTIVE INDUSTRY AS PREREQUISITE OF AUTOMATION: A CASE STUDY" in Proceedings on 19th International Conference on Industrial Systems – IS’23, 19 (2023):390-395, https://doi.org/10.24867/IS-2023-T6.2-6_07541 . .