<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Meeting the required quality level of products taking into account customer requirements is the essence of thriving enterprises. In this context, it is necessary to make decisions that take into account mentioned the quality level but also the cost aspect relevant to both customer and producer. It was concluded that it is possible to make analyse in which connected the quality level with the cost aspect will condition the make the best choice. Therefore, the aim of work was to propose the pro-quality method of choice by using the ordered fuzzy numbers connected with cost-quality analysis (AKJ). The subject of the study were machines used in pad printing technique, so-called pad print, which choice resulted from their problematic choice to specific and often variable working conditions. As part of the method by using ordered fuzzy numbers, using the Fuzzy TOPSIS method (The Technique for Order of Preference by Similarity to Ideal Solution) the most favorable machine by quality was determined. Subsequently, a pro-quality machine choice was made, and this choice combined the obtained quality level with the purchase cost through the use of cost-quality analysis. The proposed method is some kind of new approach to making the best decision, where the aspect of quality with the cost was connected. Therefore, the proposed method can be used to solve different types of decision problems in production and services enterprises.</p></abstract>

Meeting the required quality level of products taking into account customer requirements is the essence of thriving enterprises. In this context, it is necessary to make decisions that take into account mentioned the quality level but also the cost aspect relevant to both customer and producer. It was concluded that it is possible to make analyse in which connected the quality level with the cost aspect will condition the make the best choice. Therefore, the aim of work was to propose the pro-quality method of choice by using the ordered fuzzy numbers connected with cost-quality analysis (AKJ). The subject of the study were machines used in pad printing technique, so-called pad print, which choice resulted from their problematic choice to specific and often variable working conditions. As part of the method by using ordered fuzzy numbers, using the Fuzzy TOPSIS method (The Technique for Order of Preference by Similarity to Ideal Solution) the most favorable machine by quality was determined. Subsequently, a pro-quality machine choice was made, and this choice combined the obtained quality level with the purchase cost through the use of cost-quality analysis. The proposed method is some kind of new approach to making the best decision, where the aspect of quality with the cost was connected. Therefore, the proposed method can be used to solve different types of decision problems in production and services enterprises.

Pro-Quality Choice a Machine by Using Ordered Fuzzy Numbers Model

Conference Quality Production Improvement – CQPI

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Pro-Quality Choice a Machine by Using Ordered Fuzzy Numbers Model"}

Meeting the required quality level of products taking into account customer requirements is the essence of thriving enterprises. In this context, it is...

Pro-Quality Choice a Machine by Using Ordered Fuzzy Numbers Model

Published Online: Oct 27, 2020

Page range: 180 - 187

Received: May 25, 2020

Accepted: Jul 31, 2020

DOI: https://doi.org/10.2478/cqpi-2020-0020

Keywords
production engineering, mechanical engineering, Fuzzy TOPSIS, pro-quality choice, ordered fuzzy numbers

© 2020 Andrzej Pacana et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Pro-Quality Choice a Machine by Using Ordered Fuzzy Numbers Model

Published Online: Oct 27, 2020

Page range: 180 - 187

Received: May 25, 2020

Accepted: Jul 31, 2020

DOI: https://doi.org/10.2478/cqpi-2020-0020

Keywordsproduction engineering, mechanical engineering, Fuzzy TOPSIS, pro-quality choice, ordered fuzzy numbers

© 2020 Andrzej Pacana et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
production engineering, mechanical engineering, Fuzzy TOPSIS, pro-quality choice, ordered fuzzy numbers