METHOD OF PREDICTING FAVOURABLE INDUSTRIAL PRODUCTS
pdf

Keywords

predict,
GRA
quality
mechanical engineering
production engineering
decisions
sustainability

How to Cite

SIWIEC, D., & VANDŽURA, S. (2021). METHOD OF PREDICTING FAVOURABLE INDUSTRIAL PRODUCTS. Modern Management Review, 26(3), 87-96. https://doi.org/10.7862/rz.2021.mmr.20

Abstract

Predicting favourable products is still challenging. It is influenced by dynamic customers' requirement changes and reduction of waste. An important problem is a simultaneous combination of customer satisfaction with environmental aspects. It resulted from a need to reduce the harmfulness of products and increasing the quality level of these products. Therefore, the aim is to propose a method to predict favourable products considering qualitative and environmental aspects. The method relies on predicting which product will be the most favourable for customer, and simultaneously will be the most environmentally friendly. Due to the uncertainty of decisions, the Grey Relational Analysis (GRA) was implemented in the proposed method. The GRA method is effective to any number of data, therefore the proposed method does not have limitations in numbers of qualitative and environmental criteria. The test was carried out based on harmful industrial products. It was fluorescent penetrants used in popular non-destructive testing.

https://doi.org/10.7862/rz.2021.mmr.20
pdf

References

Ertugrul, I. et al. (2016). Grey Relational Analysis Approach in Academic Performance Comparison of University: A Case Study Of Turkish Universities. “European Scientific Journal”, 12.

Hajduk-Stelmachowicz, M. (2017). Organisational Eco-innovations in the Companies Located in the Podkarpackie Province – The Aspect of Costs. “Reseach Papers of Wroclaw University of Economics”, 491.

Javed, S.A. et al. (2019). Systems Evaluation through New Grey Relational Analysis Approach: An Application on Thermal Conductivity – Petrophysical Parameters’ Relationships. “Processes”, 7. DOI: 10.3390/pr7060348.

Jiao, JX., Chen, CH. (2006). Customer requirement management in product development: A review of research issues. “Concurrent Engineering-Research And Applications”, 14(3). DOI: 10.1177/1063293X06068357.

Lawlor, K. B., Hornyak, M. J. (2012). Smart Goals: How The Application Of Smart Goals Can Contribute To Achievement Of Student Learning Outcomes. ”Developments in Business Simulation and Experiential Learning” 39.

Lee, C. H., Chen, C. H., Lin, C. Y., Li, F., Zhao, X. J. (2019). Developing a Quick Response Product Configuration System under Industry 4.0 Based on Customer Requirement Modelling and Optimization Method. “Applied Sciences-Basel”, 9(23). DOI: 10.3390/app9235004.

Luca, L. (2016). A new model of Ishikawa diagram for quality assessment, “IOP Conference Series Materials Science and Engineering”, 151, 1. DOI: 10.1088/1757-899X/161/1/012099.

Mentel, U., Hajduk-Stelmachowicz, M. (2020). Does standardization have an impact on innovation activity in different countries?. “Problems and Perspectives in Management”, 18(4). DOI: 10.21511/ppm.18(4).2020.39.

Mu, E., Pereyra-Rojas, M. (2017). Practical Decision Making [In:] Springer Briefs in Operations Research, Appendix A: Practical Questions Related to AHP Modeling; Springer Nature: Basel, Switzerland, 105–106.

Okrah, J., Hajduk-Stelmachowicz, M. (2020). Political stability and innovation in Africa. “Journal of International Studies”, 11. DOI: 10.14254/2071-8330.2020/13-1/15.

Pacana, A., Siwiec, D., Bednárová, L. (2020). Method of Choice: A Fluorescent Penetrant Taking into Account Sustainability Crite-ria. “Sustainability” 12, 5854. DOI: 10.3390/su12145854.

Rossiter, J., Lilien, G. (1994). New “Brainstorming” Principles. “Australian Journal of Management”, 19, 1.

Shi, Y. L., Peng, Q. J. (2020). A spectral clustering method to improve importance rating accuracy of customer requirements in QFD. “International Journal Of Advanced Manufacturing Technology”, 107(5–6). DOI: 10.1007/s00170-020-05204-1.

Siwiec D., Pacana A. (2021). Method of improve the level of product quality. “Production Engineering Archives”, 27(1). DOI: 10.30657/pea.2021.27.1.

Siwiec, D., Bednarova, L., Pacana, A. (2020). Metoda doboru penetrantów dla przemysłowych badań nieniszczących. „Przemysł Chemiczny”, 99(5). DOI: 10.15199/62.2020.5.18.

Siwiec, D., Bednarova, L., Pacana, A., Zawada, M., Rusko, M. (2019). Wspomaganie decyzji w procesie doboru penetrantów fluorescencyjnych do przemysłowych badań nieniszczących. „Przemysł Chemiczny”, 98(10). DOI: 10.15199/62.2019.10.12.

Siwiec, D., Pacana, A. (2021). A Pro-Environmental Method of Sample Size Determination to Predict the Quality Level of Products Considering Current Customers’ Expectations. “Sustainability” 13. DOI: 10.3390/su13105542.

Ulewicz, R., Kleszcz, D., Ulewicz, M. (2021). Implementation of Lean Instruments in Ceramics Industries. “Management Systems in Production Engineering”, 29(3). DOI: 10.2478/mspe-2021-0025.

Ulewicz, R., Siwiec, D., Pacana, A., Tutak, M., Brodny, J. (2021). Multi-Criteria Method for the Selection of Renewable Energy Sources in the Polish Industrial Sector. “Energies” 14. DOI: 10.3390/en14092386.

Wang F. et al. (2015). Capturing the key customer requirements for complex equipment design using Grey Relational Analysis. “Journal of Grey System”, 27(3).

All texts published in the Journal "Modern Management Review" are available in the full version on the website of MMR. Digital IDs have also been entered from number 19 (3/2012) (DOI: 10.7862/rz.2018.mmr.1)

Open Access – CC BY 4.0

This is an open access journal which means that all content is freely available without charge to the user or his/her institution. The articles are published under the terms of the Creative Commons licence (CC-BY 4.0), including the following fields of exploitation comprising:

1) the right to publish the Work in print in book and digital form and to distribute it in book and digital form, including by displaying, playing, broadcasting, making it publicly available by the Publisher and third parties,

2) the right to record and reproduce all or part of the Work on paper and in the form of a digital record and in any other possible way by the Publisher,

3) the right to enter the Work into computer memory and save the Work in the IT systems of the Publisher and other entities distributing digital content,

4) the right to archive the Work and make copies of the Work on electronic media by the Publisher, without quantitative restrictions,

5) the right to digitise the Work and to perform conversions/transformations of the Work in electronic form into other digital formats by the Publisher and third parties,

6) the right to distribute the Work, including via the Internet or other ICT networks by the Publisher and other third parties, in a way that allows viewing, reading, copying the content of the Work in electronic form, i.e. all elements belonging to it, whereby copying shall be understood as the saving of the Work made available to an interested person on a medium of their choice,

7) the right to store the Work in the database of the Publisher and other entities distributing the Work in any form, as well as its processing in the database of the Publisher and third parties,

8) right to translate and publish the Work in one of the modern languages in any form by the Publisher and third parties.

Downloads

Download data is not yet available.