An integrated hesitant 2-tuple Pythagorean fuzzy analysis of QFD-based innovation cost and duration for renewable energy projects

This study evaluates quality function deployment-based innovation pathways for renewable energy projects. For this purpose, a 2-stage novel model is suggested. Firstly, the weights of the factors are calculated by considering Pythagorean fuzzy decision-making trial and evaluation laboratory methodology based on 2-tuple linguistic values. With the help of the impact-relation map, the activities, and immediate predecessors are identified. Within this context, five different paths are determined for this situation. Secondly, the duration pathways and innovation costs are calculated for renewable energy projects. The findings indicate that the activities A (customer expectations) and E (production requirement) play the most critical role because they take place in all different paths. Therefore, it is strongly recommended that renewable energy investment companies should take necessary actions to satisfy customer expectations, such as offering affordable products and providing necessary information for the use of these projects. (c) 2022 Published by Elsevier Ltd.

Automated summary

This study evaluates the application of quality function deployment-based innovation pathways in renewable energy projects. A two-stage model is proposed to calculate the weights of factors and identify the activities and predecessors. The findings highlight the critical role of customer expectations and production requirements in different pathways, emphasizing the importance of meeting customer expectations in renewable energy companies.