本研究的目的，是要發展出能夠有效劃分產品間序列形態之方法，以作為機器佈置時的基礎。運用改良後的類神經網路「模糊自適共振理論（Fuzzy Adaptive Resonance Theory，簡稱為Fuzzy ART）」作為序列形態劃分之工具。當產品的部分加工作業程序與其它產品的部分加工作業程序達到某一程度的相似時，則將這些相似的作業程序視為一個序列形態。當所有的序列形態皆劃分完畢後，則將所有序列形態內之機器作一有效的排列，或必要時將一些例外機器加入序列形態中，確立所有次要單元之元素。由於各機器型態所需提供之機器數量是由所有次要單元決定，所以，增加了機器佈置彈性，進而達到低成本、高彈性的生產資源分配。
本研究使用Borland C??撰寫程式，建立機器相關矩陣、進行Fuzzy ART序列形態辨識工作、完成衡量評估計算。透過程式執行與衡量方法運用進而驗證本研究所發展的『運用Fuzzy ART於以序列形態為基礎的機器佈置』能提升生產績效，優於Ho與Moodie（1994）。此外，並針對演算法中參數的設定範圍進行研究，並提出最適範圍之建議，有助爾後應用上參數之選擇。

Aneke, N. A. G. and Carrie, A. S., 1986, "A design technique for the layout of multi-product flowlines," International Journal of Production Research, vol. 24, No. 3, pp. 471-481.
Bose, N. K. and Liang, P., 1996, “Neural network fundamentals with graphs, algorithms, and applications,” McGraw-hill, Inc. 3rd edition.
Bose, N. K. and Liang, P., 1996, “Neural network fundamentals with graphs, algorithms, and applications,” McGraw-hill, Inc. 3rd edition.
Braglia, M., 1997, “Heuristics for single-row layout problems in flexible manufacturing systems,” Production Planning & Control, vol. 8, No. 6, pp. 558-567.
Braglia, M., 1997, “Heuristics for single-row layout problems in flexible manufacturing systems,” Production Planning & Control, vol. 8, No. 6, pp. 558-567.
Dagli, C. and Huggahalli, R., 1995, “Machine-part family formation with the adaptive resonance theory paradigm,” International Journal of Production Research, vol. 33, pp. 893-913.
Dahel, N. E., 1995, “Design of cellular manufacturing systems in tandem configuration,” International Journal of Production Research, vol. 33, pp. 2079-2095.
Fu, M. C. and Kaku, B. K., 1997, “Minimizing work-in-process and material handling in the facilities layout problem,” IIE Transactions, vol. 29, pp. 29-36.
Georgiopoulos, M., Dagher, I., Heileman, G. L., and Bebis, G., 1999, "Properties of learning of a Fuzzy ART Variant," Neural Networks, vol. 12, pp. 837-850.
Georgiopoulos, M., Dagher, I., Heileman, G. L., and Bebis, G., 1999, "Properties of learning of a Fuzzy ART Variant," Neural Networks, vol. 12, pp. 837-850.
Georgiopoulos, M., Dagher, I., Heileman, G. L., and Bebis, G., 1999, "Properties of learning of a Fuzzy ART Variant," Neural Networks, vol. 12, pp. 837-850.
Heragu, S. S. and Kusiak, A. S., 1991, “Efficient models for the facility layout problem,” European Journal of Operational Research, vol. 53, No. 1, pp. 1-13.
Heragu, S. S. and Kusiak, A., 1988, "Machine layout problem in flexible manufacturing systems," Operations Research, vol. 36, No. 2, pp. 258-268.
Heragu, S. S. and Kusiak, A., 1990, “Machine layout: an optimization and knowledge-based approach,” International Journal of Production Research, vol. 28, No. 4, pp. 615-635.
Heragu, S. S. and Kusiak, A., 1990, “Machine layout: an optimization and knowledge-based approach,” International Journal of Production Research, vol. 28, No. 4, pp. 615-635.
Ho, Y. C. and Moodie, C. L., 1998, "Machine layout with a linear single-row flow path in an automated manufacturing system," Journal of Manufacturing Systems, vol. 17, No. 1, pp. 1-22.
Ho, Y. C. and Moodie, C. L., 1998, "Machine layout with a linear single-row flow path in an automated manufacturing system," Journal of Manufacturing Systems, vol. 17, No. 1, pp. 1-22.
Ho, Y. C. and Moodie, C. L., 1998, "Machine layout with a linear single-row flow path in an automated manufacturing system," Journal of Manufacturing Systems, vol. 17, No. 1, pp. 1-22.
Kamal, S. and Burke, L. I., 1996, “FACT: A new neural network-based clustering algorithm for group technology,” International Journal of Production Research, vol. 34, pp. 919-946.
Kamal, S. and Burke, L. I., 1996, “FACT: A new neural network-based clustering algorithm for group technology,” International Journal of Production Research, vol. 34, pp. 919-946.
Kamal, S. and Burke, L. I., 1996, “FACT: A new neural network-based clustering algorithm for group technology,” International Journal of Production Research, vol. 34, pp. 919-946.
Kusiak, A. and Park, k., 1994, “Layout of machines in cellular manufacturing systems,” International Journal of Manufacturing System Design, vol. 1, No. 1, pp. 31-39.
Kusiak, A. and Park, k., 1994, “Layout of machines in cellular manufacturing systems,” International Journal of Manufacturing System Design, vol. 1, No. 1, pp. 31-39.
Marcello, B., 1997, “Heuristics for single-row layout problems in flexible manufacturing systems,” Production Planning and Control, vol. 8, No. 6, pp. 558-567.
Montreuil, B. and Ratliff, H. D., 1989, "Utilizing cut trees as design skeletons for facility layout," IIE Transactions, vol. 21, No. 2, pp. 136-143.
Owen, A. E., 1984, "Flexible assembly systems - assembly by robots and computerized integrated systems," Plenum, New York.
Poggio, T. and Girosi, F., 1990, “Networks for approximation and learning,” IEEE Proc. vol. 78, No. 9, pp. 1481-1497.
Roger Jang, J.-S., 1993, “ANFIS : adaptive-network-based fuzzy inference systems,” IEEE Trans. On Systems, Man, and Cybernetics, vol. 23, No. 3, pp. 665-685.
Sarker, B. R. and Xu, Y., 1998, "Operation sequences-based cell formation methods: A critical survey," Production Planning and Control, vol. 9, No. 8, pp. 771-783.
Su, M. C., DeClaris, N., and Liu, T. K., 1997, “Application of neural networks in cluster analysis,” IEEE International Conference on Systems, Man, and Cybernetics, pp. 1-6.
Suresh, G. and Sahu, S., 1993, “Multiobjective facility layout using simulated annealing,” International Journal of Production Economics, vol. 32, pp. 239-254.
Suresh, G. and Sahu, S., 1993, “Multiobjective facility layout using simulated annealing,” International Journal of Production Economics, vol. 32, pp. 239-254.
Suresh, G. and Sahu, S., 1993, “Multiobjective facility layout using simulated annealing,” International Journal of Production Economics, vol. 32, pp. 239-254.
Suresh, G. and Sahu, S., 1993, “Multiobjective facility layout using simulated annealing,” International Journal of Production Economics, vol. 32, pp. 239-254.
沙永傑、孫靜恆, 1995, “考量彈性因素下多目標設施佈置之研究”, 國立交通大學工業工程與管理所.
秉昱科技, 1998, “模糊邏輯與類神經模糊”, 儒林圖書有限公司.
蘇木春、張孝德, 1999, “機器學習：類神經網路、模糊系統以及基因演算法則”, 全華科技圖書股份有限公司.