Influence of temperature based process parameter compensation on process efficiency and productivity
PDF

Keywords

Overall Equipment Effectiveness (OEE), Utilization, Efficiency, Productivity, Quality, Flexible Manufacturing System (FMS), CNC machine, Control of accuracy, Test of machines, Repeatability, Capability

How to Cite

Pater, J., Basara, D., & Stadnicka, D. (2021). Influence of temperature based process parameter compensation on process efficiency and productivity . Technologia I Automatyzacja Montażu (Assembly Techniques and Technologies), 112(2), 44-51. Retrieved from https://journals.prz.edu.pl/tiam/article/view/912

Abstract

Conditions in the working environment related e.g. to dust, vibration or temperature may have a negative impact on both, the production process and the manufactured product. Inappropriate and unstable conditions can cause instability of the production process and deteriorate the quality of manufactured products. Moreover, this can induce time waste and decrease the efficiency and productivity. In this paper the problem of temperature influence on a manufacturing process is analyzed. Monitoring of the temperature is not enough to ensure the achievement of manufacturing goals. It is necessary to adapt the parameters of the production process accordingly so that no nonconformities arise due to changes in temperature values and no delays appear. This paper deals with the efficiency and productivity of a manufacturing system which work under unstable working environment. The authors prove that application of the manufacturing process parameters compensation can significantly improve both, efficiency and productivity. The values of efficiency and productivity were monitored within a fixed period of time for a manufacturing system, on where the manufacturing process is realized. Then, a procedure of process parameters compensation was introduced. Next, within a fixed period of time the data were collected and the efficiency and productivity values were compared with the values obtained before. Additionally, the authors propose to introduce the Overall Equipment Effectiveness (OEE) indicator and present information about ways of data collecting.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

PDF

References

Cheah C.K., Prakash J., Ong K.S. 2020. “An integrated OEE framework for structured productivity improvement in a semiconductor manufacturing facility”. Int. J. Product. Perform. Manag. 69: 1081–1105.

He F., Shen K., Lu L., Tong Y. 2018. “Model for improvement of overall equipment effectiveness of beerfilling lines”. Adv. Mech. Eng. 10(8):168781401878924.

Hexagon Manufacturing Inteligence. Part of Hexagon - m&h Radio-Wave Touch Probe V01.00-REV01.00. Release date: 2016-01-15.

ISO 10791-1: 2015 - Test conditions for machining centres - Part 1 - Geometric tests for machines whit horizontal spindle and whit accessory heads (horizontal Z-axis).

Kuiper A., Van Raalte M., Does R.J.M.M. 2014. “Quality quandaries: Improving the overall equipment effectiveness at a pharmaceutical company”. Qual. Eng. (26): 478–483.

Mutilba U., Gomez-Acedo E., Kortaberria G., Olarra A., Yagüe-Fabra J.A. 2017. “Traceability of On-Machine Tool Measurement: A Review”. Sensors 17(7): 1605.

Nakajima S. 1988. Introduction to TMP. Portaland, OR, USA: Productivity Press.

Ng Corrales L.D.C., Lambán M. P., Hernandez Korner M.E., Royo, J. 2020. “Overall equipment effectiveness: Systematic literature review and overview of different approaches”. Applied Sciences 10(18): 6469.

Renishaw. RMP600 radio transmission probe. Available on-line: resources.renishaw.com [access: 12.05.2019].

Siemens. 2011. SINUMERIK 840d Sl/828d – Przygotowanie do pracy. Podręcznik programowania.

Siemens. 2015. SINUMERIK 840d Sl/828d - Cykle pomiarowe. Podręcznik programowania.

Stadnicka D., Antosz K. 2018. Overall Equipment Effectiveness: Analysis of Different Ways of Calculations and Improvements. In Hamrol A., Ciszak O., Legutko S., Jurczyk M. (eds) Advances in Manufacturing. Lecture Notes in Mechanical Engineering, 45- 55. DOI: 10.1007/978-3-319-68619-6_5.

Tsarouhas P.H. 2019. “Overall equipment effectiveness (OEE) evaluation for an automated ice cream production line: A case study”. Int. J. Product. Perform. Manag.

Yılmaz Eroglu D. 2019. “Systematization, implementation and analysis of overall throughput effectiveness calculation in finishing process of weaving industry”. Tekstil Konfeksiyon 29(2): 121-132.

Zennaro I., Battini D., Sgarbossa F., Persona A., De Marchi R. 2018. “Micro downtime: Data collection, analysis and impact on OEE in bottling lines the San Benedetto case study”. Int. J. Qual. Reliab. Manag. (35): 965–995.