Abstract
In recent years, low-carbon energy has been a trend in the development of varied energy technologies, and the solar industry is one of the important emerging industries in Taiwan. The production plan decision crosses the different department, such as sales, procurement, manufacturing, allocation, etc. The Decision Maker need to consider Multi-Attribute Decision Making. Moreover, due to the lack of homogeneity in the product, process variation affects the output distribution, solar cell will be graded and allocated based on different power efficiency, color, and other characteristics to meet customer’s various requirements. To meet customer orders, it often leads to excess inventory. Under the situation of short life cycle of solar cells, excessed stocks will increase company's costs and risks. Therefore, this study develops a two level TOPSIS Multi-Objective Fuzzy Goal Programming(TOPSIS-MOFGP). Based upon simultaneous shortest distance from positive ideal solution (PIS) and furthest distance from negative ideal solution (NIS). In the proposed approach can achieve compromise solution of the problem by maximizing the profit, demand fulfill, capacity utilization and minimizing inventory. In this study, we compare the results from real-world case study, and establish the different scenario to test the model validity to provide the suggestion to Decide Maker.