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A Pro-Environmental Method of Sample Size Determination to Predict the Quality Level of Products Considering Current Customers’ Expectations

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  • Dominika Siwiec

    (Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, 35-959 Rzeszow, Poland)

  • Andrzej Pacana

    (Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, 35-959 Rzeszow, Poland)

Abstract

The main factor that conditions the success of organizations is the development of products oriented toward customer satisfaction. An additional attribute of organizations is the use of sustainable development rules. The use of these rules and the simultaneous desire to create high-quality products encourage organizations to apply different methods to, for example, eliminate waste. This study aimed to develop a method to determine the research sample size required to predict a product’s quality level, taking into account current customers’ expectations. This method was developed by modifying a procedure to determine the research sample size as part of the calculated estimator of the mean value in the general population. Based on the concept of product sustainability development, the goal of the developed method was to determine the number of potential customers (respondents) needed to provide product requirements, which were then processed and used to predict the quality level of the product. This method was applied to simultaneously test a number of hypotheses, determine the test power, and detect statistically significant differences for several relationships of the sample sizes and the test power. This was achieved using universal hypotheses and the popular alternative-punctual (MAP) method. Testing of the proposed method showed that it was able to predict the quality level of products based on current expectations of customers.

Suggested Citation

  • Dominika Siwiec & Andrzej Pacana, 2021. "A Pro-Environmental Method of Sample Size Determination to Predict the Quality Level of Products Considering Current Customers’ Expectations," Sustainability, MDPI, vol. 13(10), pages 1-22, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5542-:d:555537
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    References listed on IDEAS

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    4. Andrzej Pacana & Dominika Siwiec & Lucia Bednárová, 2020. "Method of Choice: A Fluorescent Penetrant Taking into Account Sustainability Criteria," Sustainability, MDPI, vol. 12(14), pages 1-21, July.
    5. Pai Zheng & Xun Xu & Sheng Quan Xie, 2019. "Correction to: A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 459-459, January.
    6. Renata Turisova & Juraj Sinay & Hana Pacaiova & Zuzana Kotianova & Juraj Glatz, 2020. "Application of the EFQM Model to Assess the Readiness and Sustainability of the Implementation of I4.0 in Slovakian Companies," Sustainability, MDPI, vol. 12(14), pages 1-14, July.
    7. Qin Yang & Zhirui Li & Haisen Jiao & Zufang Zhang & Weijie Chang & Daozhu Wei, 2019. "Bayesian Network Approach to Customer Requirements to Customized Product Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2019, pages 1-16, July.
    8. Rainer Alt & Jan Fabian Ehmke & Reinhold Haux & Tino Henke & Dirk Christian Mattfeld & Andreas Oberweis & Barbara Paech & Alfred Winter, 2019. "Towards customer-induced service orchestration - requirements for the next step of customer orientation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 79-91, March.
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    Citations

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    Cited by:

    1. Dominika Siwiec & Andrzej Pacana & Andrzej Gazda, 2023. "A New QFD-CE Method for Considering the Concept of Sustainable Development and Circular Economy," Energies, MDPI, vol. 16(5), pages 1-21, March.
    2. Grzegorz Ostasz & Dominika Siwiec & Andrzej Pacana, 2022. "Universal Model to Predict Expected Direction of Products Quality Improvement," Energies, MDPI, vol. 15(5), pages 1-18, February.
    3. Dominika Siwiec & Andrzej Pacana, 2021. "Model Supporting Development Decisions by Considering Qualitative–Environmental Aspects," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    4. Robert Ulewicz & Dominika Siwiec & Andrzej Pacana, 2023. "A New Model of Pro-Quality Decision Making in Terms of Products’ Improvement Considering Customer Requirements," Energies, MDPI, vol. 16(11), pages 1-22, May.
    5. Dominika Siwiec & Andrzej Pacana, 2024. "Decision-Making Model Supporting Eco-Innovation in Energy Production Based on Quality, Cost and Life Cycle Assessment (LCA)," Energies, MDPI, vol. 17(17), pages 1-26, August.
    6. Dominika Siwiec & Andrzej Pacana, 2024. "Eco-Innovation Method for Sustainable Development of Energy-Producing Products Considering Quality and Life Cycle Assessment (QLCA)," Energies, MDPI, vol. 17(15), pages 1-22, August.
    7. Andrzej Pacana & Karolina Czerwińska, 2023. "A Quality Control Improvement Model That Takes into Account the Sustainability Concept and KPIs," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    8. Dominika Siwiec & Andrzej Pacana, 2021. "Model of Choice Photovoltaic Panels Considering Customers’ Expectations," Energies, MDPI, vol. 14(18), pages 1-32, September.
    9. Andrzej Pacana & Dominika Siwiec & Jacek Pacana, 2023. "Fuzzy Method to Improve Products and Processes Considering the Approach of Sustainable Development (FQE-SD Method)," Sustainability, MDPI, vol. 15(13), pages 1-22, June.
    10. Andrzej Pacana & Dominika Siwiec & Lucia Bednarova & Marian Sofranko & Olga Vegsoova & Martin Cvoliga, 2021. "Influence of Natural Aggregate Crushing Process on Crushing Strength Index," Sustainability, MDPI, vol. 13(15), pages 1-15, July.

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