本研究旨在探討N個案公司，一家半導體封裝測試公司，評選最適合其生產規劃需求的系統服務廠商。考慮到這項重要決策，研究採用了TOPSIS方法(Technique for Order Preference by Similarity to Ideal Solution)，這是一種多準則決策分析方法，能夠幫助企業在多個標準下選擇最佳方案。首先，研究收集了相關資料，包括N個案公司的資訊、製造、供應鏈管理、採更等部門的專業經理人對於生產規劃系統的各項指標評估。接著，使用TOPSIS方法對這些廠商進行評估，藉由比較它們與理想解和最差解之間的相似度，以確定最佳選擇。研究結果顯示，基於綜合考慮各種標準和需求，特定系統服務廠商在生產規劃系統方面表現最為優越。這項分析提供了N個案公司在選擇系統服務廠商方面的重要參考，有助於提升其生產規劃效率與品質，以及推動業務的可持續發展。總括而言，本研究利用TOPSIS方法成功幫助N個案公司有效評選出最適合其需求的系統服務廠商#3，為半導體封裝測試公司的生產規劃決策提供了實質性的支持與指導。

This thesis delves into the strategic process undertaken by the N-Company, a semiconductor backend manufacturer, to select an optimal production planning system solution provider. Using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, the study develops a tailored evaluation framework. This framework assesses potential providers based on crucial criteria such as technological compatibility, cost-effectiveness, scalability, and adaptability, aiming to guide the N-Company towards an informed decision. By meticulously analyzing solution providers within the semiconductor backend manufacturing sector, this research contributes practical insights into applying the TOPSIS method. It aims to facilitate not only the N-Company's decision-making but also to provide guidance for similar industry entities navigating the complexities of selecting production planning system solution providers. Ultimately, this study concludes that Solution#3 is the most proper solution and strives to enhance decision-making processes, enabling companies to optimize their selection strategies and bolster efficiency in the semiconductor backend manufacturing domain.

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