Determining the Amount of Effective Indicators in the Pricing of Green products with the Goal Programing method
Keywords:
Green Product, Pricing, multi-criteria decision making approach, fuzzy Data Envelopment Analysis, Goal ProgramingAbstract
Objective: This research was conducted with the aim of determining the amount of influential indicators in the pricing of green products with the Goal Programing method.Methodology: It is a developmental-applied research method. The statistical population of this research includes a number of top managers and responsible experts active in the field of home appliance industry and a number of academic professors in the field of green supply chain, of which 20 people were selected as a sample. Research information has been collected from 9 home appliance companies that were analyzed in the period of 2019-2023.Findings: In this research, 7 indicators were confirmed using the fuzzy Delphi method, then the importance of each of the 7 identified factors was calculated based on the fuzzy hierarchical analysis method. The criterion of environmental management costs with a weight of 0.1734 took the first place, the criterion of the number of green products produced in the factory with a weight of 0.15 took the second place and the cost of green innovation with a weight of 0.1497 took the third place. Then, the importance of the ideals of home appliance companies was determined using the fuzzy data envelopment analysis approach. The results showed that company A with an efficiency score of 1 has the best efficiency and the greenest supply chain, and company H with an efficiency score of 0.69 has the worst. It is efficiency, which felt the need to pay more attention to companies with low efficiency. Finally, by determining the importance of indicators by the fuzzy hierarchical analysis method and the importance of the ideals of home appliance companies determined by the fuzzy data envelopment analysis method, the problem of Goal Programing is implemented by considering a common ideal in the home appliance company A. income Conclusion: Therefore, by determining the value of each of them, it was determined how much home appliance manufacturing companies should invest in each of the indicators for pricing.