# Developing a Recommendation Model for the Smart Factory System
## 4 Result of SFS Development
### Result of Recommendation System Development  
This study applied a four-step customer decision process--EKB Model: Demand Confirmation, Information Collection, Alternative Evaluation and Selection and Purchase--to construct an SFRS, which is based on a PC and portable devices that go with Human-Machine Interfaces (HMI) to assist SFS purchasers and provide recommendations, shown in Figure 5. The input settings from the model and supplier database are selecting items, suppliers, scores from scales, and cost planning. The result of the output are weights of indicators, suppliers' ranking and scores, and purchase ability analysis. The framework and prototype of this system is based on content-based filtering recommendation to provide solutions and references on purchasing SFS, the functions of which are SFS purchase ability analysis; demand analysis of manufacture problems; raking and scoring of recommendation indicators. The development tools and specifications of this system include: (1) Operation system: Windows 10 64-bit Professional; (2) Integrated development environment: subline text 3; (3) Programming language: HTML5, JavaScript, php; (4) Fore-End Framework: Bootstrap 4.0; (5) Database: MySQL; (6) Browser: google chrome version 67.0.3396.99 (64-bit); (7) Development kit: Eclipse 4.2.2, Android SDK r21.1, and UPnP kit (Cling Core 1.0.5). In addition, users can flexibly delete unnecessary indicators according to their demands and the system can automatically calculate recommendation results, providing real-time ranking and the best alternative recommendation. For suppliers, the results of this study can be used as references for the design and modification of the SFS and they also enable the requirements to be closer to the users' demands. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Dimension**} & \multicolumn{4}{c}{**Alternative**} & \multirow{2}{*}{**Preference**} & \multirow{2}{*}{**Decimal**} \\ \cline{2-2} \cline{5-6}  & **AA** & & & & **AB** & **CC** & **DD** \\ \hline Information Quality & 0.466 & 0.581 & 0.417 & 0.405 & 13\% & 0.13 \\ System Quality & 0.326 & 0.418 & 0.394 & 0.313 & 11\% & 0.11 \\ Service Quality & 0.537 & 0.574 & 0.513 & 0.389 & 15\% & 0.15 \\ SFS Function characteristics & 0.349 & 0.404 & 0.330 & 0.328 & 10\% & 0.1 \\ Information Security & 0.809 & 0.878 & 0.740 & 0.818 & 24\% & 0.24 \\ Perceived Value & 0.300 & 0.325 & 0.280 & 0.288 & 9\% & 0.09 \\ Perceived Risk & 0.420 & 0.477 & 0.422 & 0.375 & 12\% & 0.12 \\ UI Design & 0.211 & 0.259 & 0.210 & 0.194 & 6\% & 0.06 \\ Total & 3.418 & 3.916 & 3.305 & 3.311 & 100\% & 1 \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Results of scoring suppliers. Figure 5: The Framework and prototype of the SFRS. To understand the performance of the prototype recommendation system with User Satisfaction Assessment, four dimensions were assessed, including \"Information Quality\", \"System Quality\", \"Service Quality\", and \"Business Performance\". A total of 40 items were used to evaluate the SFRS's Use Satisfaction, and questionnaires were sent by e-mail to five supervisors of Company A. The results show that approximately 34% feel Highly Satisfied, 60% feel Satisfied, 6% feel Neutral, and no one feels Dissatisfied, Highly Dissatisfied. There were no answers that were Not Applicable. In order to further understand the feasibility and suitability of the system, this study also selected three different manufacturing companies in Taiwan to verify the system according to different needs. The three manufacturing companies are Qingfa (screw manufacturing), Xiangda (plastic manufacturing), and Zhanjie (steel manufacturing). We personally reviewed the current status and development needs of the enterprises and listed the basic functions of smart manufacturing in accordance with each enterprise in detail under the recommendation system. At the same time, the supervisor of decision-making and the manufacturing department provided their opinions on Io, which will be used as the bases for the further development of the system.