Nội dung được dịch bởi AI, chỉ mang tính chất tham khảo
Lựa chọn phần mềm ERP phù hợp sử dụng mối quan hệ sở thích ngôn ngữ mờ tích hợp — phương pháp TOPSIS mờ
Tóm tắt
Do sự không chắc chắn cao của môi trường kinh doanh, độ phức tạp và đa dạng của các dự án hoạch định nguồn lực doanh nghiệp (ERP) và các tiêu chí đánh giá trái ngược nhau, việc lựa chọn phần mềm ERP phù hợp có thể được xem như một bài toán ra quyết định đa tiêu chí (MCDM). Trong số các phương pháp MCDM, phương pháp phân tích mức độ (EAM) đã được sử dụng trong nhiều ứng dụng nhờ vào sự đơn giản trong tính toán của nó. Tuy nhiên, trong EAM, sự không nhất quán tăng lên khi số lượng tiêu chí hoặc lựa chọn tăng. Để giải quyết vấn đề không nhất quán này, các mối quan hệ sở thích ngôn ngữ mờ (FLPR) đã được đề xuất để đạt được các giải pháp nhất quán trong các quy trình ra quyết định. Nghiên cứu này đề xuất một khung lựa chọn ERP mạnh mẽ, trong đó trọng số của các tiêu chí đánh giá được tính toán thông qua FLPR và thứ hạng của các hệ thống ERP thay thế được xác định thông qua Fuzzy TOPSIS. Một ứng dụng thực tế đã được thực hiện tại một công ty thực phẩm bán sỉ Thổ Nhĩ Kỳ.
Từ khóa
#ERP #phương pháp ra quyết định đa tiêu chí #phân tích mức độ #mối quan hệ sở thích ngôn ngữ mờ #Fuzzy TOPSISTài liệu tham khảo
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