طراحی مدل برنامه ریزی استراتژیک فناوری با رویکرد هوشمند ترکیبی

نوع مقاله: مقاله پژوهشی

10.22111/jmr.2012.653

چکیده

در این تحقیق، مدل برنامه­ریزی استراتژیک فناوری با رویکرد هوشمند ترکیبی نورو – فازی ارائه می­شود که حاصل ترکیب یکپارچه و نظام­یافته­ای از مدل­های موجود است. مدل تحقیق براساس بررسی مدل­های برنامه­ریزی استراتژیک فناوری و مدل­های برنامه­ریزی استراتژیک با رویکرد هوشمند ترکیبی پیشنهاد شده است. تکنیک نورو– فازی برای مدلسازی استراتژی­های فناوری از طریق نرم افزار MATLAB استفاده می­شود. مدل، در صنعت پتروشیمی ایران از طریق متوسط خطای آزمون و متوسط خطای یادگیری ارزیابی می­شود که نتیجه آزمون را مطلوب نشان می­دهد. با تعیین فهرست فناوری­های صنعت، وضعیت توانایی صنعت در توسعه فناوری­ها، جذابیت فناوری­ها در صنعت و شاخص­های ثبت اختراع در صنعت، جایگاه فناوری­ها در ماتریس­های تصمیم تدوین استراتژی فناوری تعیین می­شود. استراتژی­های فناوری در سه دسته پژوهش محور، سرمایه محور و دانش محور پیشنهاد می­شود. داده­ها  نیز بواسطه چهل محقق در شرکت­های تابعه صنعت پتروشیمی که در حوزه­های مشخص شده فناوری­ها تحقیق می­کنند و دانش آن حوزه­ها را دارند با روش تمام شماری گردآوری می­شود.

کلیدواژه‌ها


عنوان مقاله [English]

Designing Technology Strategic Planning Based on Hybrid Intelligence

چکیده [English]

In the present study, technology strategic planning model based on neuro – fuzzy hybrid intelligence is suggested. It is the result of an integrated and systematic hybrid of existing models presented in literature of technology strategy planning and hybrid intelligent strategic planning. Neuro-fuzzy technique is used for modeling of technology strategies with MATLAB. The model is evaluated in Iran’s petrochemical industry based on average test error and average train error which were satisfying. A list of technologies in the industry, the industry's ability in the development of technology, attractiveness of technology in the industry, and patent indicators are identified based on expert’s viewpoints. According to the location of technologies in decision matrices of technology strategies, technology strategies are proposed in three categories: research driven, investment driven, and knowledge driven. Data is collected by the total researchers in subsidiary companies who do research in specific fields of petrochemical industry and have the knowledge in those fields

کلیدواژه‌ها [English]

  • neuro – fuzzy
  • ability
  • attractiveness
  • patent

منابع فارسی

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