Affiliation:
1. University of Zilina, Department of Economics, Univerzitna 8215/1, 01026 Zilina, Slovak Republic
Abstract
Objective - In the current dynamic and competitive business environment, in the age of Industry 4.0, implementation of the overall quality management enables enterprises to expand their markets and at the same time to adjust to new conditions of global trade. The objective of the paper submitted is to determine the impact of qualitative processes in the manufacturing environment on the process added value and added value for customers. Methodology – In the research, the method of Value Stream Map (VSM) was used, and the extended method of Quality Value Stream Map (QVSM). The research was focused on manufacturing operations, where the emphasis is put on the parameter of quality in a model enterprise environment in the sector of mass production. Findings – The main output of the research was to determine the parameters which significantly affect the corporate manufacturing process in terms of its quality. The research also aimed to create a current Value Stream Map identifying the key manufacturing operations, in which quality contributes most to the creation of value-added. Novelty – Empirical results indicate that there is a difference between the analysis of the process added value and the analysis of added value for customers. It has been confirmed that at the time of Industry 4.0, SMEs still underestimate the importance of quality-related activities compared to large enterprises. It has been found that quality-related operations as such participate indirectly in the generation of added value in the manufacturing process but optimization and innovation of quality-related activities within the manufacturing process may indirectly add value to the main (value-generating) processes. Type of Paper - Empirical Keywords: Quality Value Stream Map, Value Stream Map, Quality Management, Added Value For The Customer, Production Process. JEL Classification: M2, O3, R1.
Publisher
Global Academy of Training and Research (GATR) Enterprise
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