Abstract
Global climate change is a critical issue that everyone will eventually face; for this reason, countries are paying greater attention to sustainable development. It is therefore important to achieve a win-win situation for the environment and economics. The green supply chain focuses on reducing environmental impact during product delivery and satisfying customer service level. However, such situations make the supplier selection problem more complex. Decision-makers need to balance between suppliers’ green levels and consumers’ aspiration levels. The supplier selection problem is a typical multiple criteria decision-making problem. In the green supplier selection problem, only a few studies consider the market segmentation of green consumers. However, the decision environment comprises supplier’s dynamic risk and goals with different importance is not considered. In the green supplier selection problem, to overcome key limitations of previous literature, this study includes several contributions. First, this study constructs a fuzzy goal programming model focusing on the importance of a supplier portfolio and order allocation. To improve satisfaction degree of the green goals, this study proposes a fuzzy goal programming model incorporating multiple importance function. The functions provide adequate satisfaction levels for goals with a lower priority. Second, this study pioneers the integration of a supplier’s dynamic risk and green market segmentation in supplier selection problems. Third, this study analyzes how different ratios of green consumers affect the satisfaction degree of the green goals. Green consumers are willing to convert green consciousness into actual consumption, and the proposed decision problem considers the market bonus by green consumers. The illustrative example, unlike previous studies, shows that the proposed model will not excessively compromised green goals with lower priority for certain decision situations.
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