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Model to Determine the Best Modifications of Products with Consideration Customers’ Expectations

Author

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  • Grzegorz Ostasz

    (Faculty of Management, Rzeszow University of Technology, Al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland)

  • Dominika Siwiec

    (Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland)

  • Andrzej Pacana

    (Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland)

Abstract

The current situation in the energy market contributes not only to the sales growth of photovoltaic panels (PV) but also to the intense search for possibilities for its improvement. The purpose of this research was to develop a model to determine, where possible, the most beneficial modifications to improve products. The model used combination techniques, i.e., the SMARTER method, brainstorming (BM), the 7 ± 2 rule, questionnaire, ant colony optimization (ACO), and importance-performance analysis (IPA). In addition, an algorithm supporting ACO was proposed in the MATLAB program. The test was carried out on PV and showed that it is possible to determine the way of product (PV) improvement by determining a sequence of modifications for product criteria states while simultaneously considering customers’ expectations. It was shown that each state of the short-circuit electricity and peak power was satisfactory for customers. It was necessary to modify the maximum current and idle voltage. In addition, the selected modification states of the weight and dimensions will be more satisfactory compared to the current states. The proposed model is based on searching for the best changes in product criteria to achieve the highest possible customer satisfaction (i.e., product quality level). Originality is the ability to define a product improvement method (PV) depending on customer expectations but also taking into account the requirements of the company.

Suggested Citation

  • Grzegorz Ostasz & Dominika Siwiec & Andrzej Pacana, 2022. "Model to Determine the Best Modifications of Products with Consideration Customers’ Expectations," Energies, MDPI, vol. 15(21), pages 1-21, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8102-:d:959008
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    References listed on IDEAS

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    16. Dominika Siwiec & Andrzej Pacana, 2021. "Model of Choice Photovoltaic Panels Considering Customers’ Expectations," Energies, MDPI, vol. 14(18), pages 1-32, September.
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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. 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.
    3. 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.
    4. Andrzej Pacana & Dominika Siwiec & Robert Ulewicz & Malgorzata Ulewicz, 2024. "A Novelty Model Employing the Quality Life Cycle Assessment (QLCA) Indicator and Frameworks for Selecting Qualitative and Environmental Aspects for Sustainable Product Development," Sustainability, MDPI, vol. 16(17), pages 1-24, September.
    5. Dominika Siwiec & Wiesław Frącz & Andrzej Pacana & Grzegorz Janowski & Łukasz Bąk, 2024. "Analysis of the Ecological Footprint from the Extraction and Processing of Materials in the LCA Phase of Lithium-Ion Batteries," Sustainability, MDPI, vol. 16(12), pages 1-19, June.
    6. Robert Ulewicz & Dominika Siwiec & Andrzej Pacana, 2023. "Sustainable Vehicle Design Considering Quality Level and Life Cycle Environmental Assessment (LCA)," Energies, MDPI, vol. 16(24), pages 1-23, December.

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