A Knowledge-Based Industrial Robot Selection System for Manufacturing Industries

Tan, Chee Fai; Khalil, Siti Nurhaida; Tamaldin, Noreffendy; Karjanto, Juffrizal; Yusof, Nidzamuddin Md.; Wahidin, L.S.; Chen, Wei; Rauterberg, Matthias

doi:10.15866/ireme.v8i6.2752

Cited by 2 publications

(4 citation statements)

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“…Expert systems, as a separate direction of artificial intelligence theory, had formed by the 1970s [8]. During this period, specialists concluded that the effectiveness of a program in solving intellectual problems depends to a greater extent on the knowledge that it possesses, and not only on the formalisms and inference schemes used.…”

Section: Applications Of Expert Systemsmentioning

confidence: 99%

“…Expert systems find applications in various fields of human activity with a need for knowledge-based decisionmaking: in production, business, medicine, finance, education, etc. These systems can successfully solve a variety of problems [8]: diagnostics, planning, design, interpretation, prediction (forecasting), management, modeling, reengineering, classification, instruction, control, debugging. As Kumar S. P. L. notes, "from the inception ES system, various developments have been done, which broaden its application to include pattern recognition, automation, computer vision, virtual reality, diagnosis, image processing, nonlinear control, robotics, automated reasoning, data mining, process planning, intelligent agent and control, manufacturing" [4].…”

Section: Fig 1 Essential Features Of Expert System (Es)mentioning

confidence: 99%

“…[3], Kumar S. P. L. [4], Leondes C. T. [5], Liao S.-H. [1], Maylawati D. S., Darmalaksana W., Ramdhani M. A. [6], Nugroho A. C. [7], Tan C. F., Wahidin L. S., Khalil S. N. [8], Tan H. [9], Wagner W. P. [2] etc.…”

Section: Introductionmentioning

confidence: 99%

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About the need to develop an intelligent information system to evaluate investment project environmental effectiveness

2023

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The evaluation of the efficiency of an investment project implemented in the real economy is impossible without assessing its environmental implications. The justification of investment projects may apply modern specialized software. Such software products do not provide an opportunity to fully automate the preparation of the environmental section of the business plan. The authors believe that it is wise to introduce automation into the development of the environmental section of the investment project business plan through an appropriate intelligent information system (expert system). Processing input data requested by the system with various prompts and explanations, the expert system should form the environmental section of the business plan. The proposed system should play the role of a consultant in the field of environmental legislation. It should offer the user a list of environmental protection measures corresponding to their project. The design and application of the expert system will lead to several positive effects: faster development of project materials, improved quality of planning, reduced number of mistakes, lower cost of assessment, increased confidence in the environmental section of the business plan by third-party participants, increased literacy of users of the expert system in the field of environmental protection.

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Section: Applications Of Expert Systemsmentioning

confidence: 99%

Section: Fig 1 Essential Features Of Expert System (Es)mentioning

confidence: 99%

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About the need to develop an intelligent information system to evaluate investment project environmental effectiveness

2023

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“…Diğer yandan, Usta ve arkadaşlarının yaptığı bir çalışmada, Kappa-PC yazılımını kullanarak on ayrı işin aynı anda yapılması durumunda, imalat hücresine karar veren, tezgah işlem sıralamalarını ve hücredeki robotun bu işleri tezgahlara hangi zamanlarda ve hangi sıra ile yerleştirip-alması gerektiğini belirleyen bir uzman sistem geliştirilmiştir [19]. Benzer bir çalışmayı Tan ve arkadaşları yapmışlardır [20]. Geliştirdikleri sistem, bir imalat alanına yönelik olarak robot seçimi yapmaktadır.…”

Section: Introductionunclassified

Takma Uçlu Matkap Ve Kesme Parametrelerinin Seçimi için Bir Uzman Sistem

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2018

El-Cezeri Fen Ve Mühendislik Dergisi

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Takma uçlu matkaplar, delik delme operasyonlarında yaygın kullanılan kesici takımlardır. Piyasada, çok farklı tip ve özellikte olan takma uçlu matkaplar bulunmaktadır. Arzu edilen delik kalitesinin elde edilmesinde, uygun bir takma uçlu matkabın ve doğru kesme parametrelerin belirlenmesi gerekmektedir. Bu hazırlıklar için bir uzmana ihtiyaç duyulmaktadır. Bundan dolayı, en uygun kesici takımı ve kesme parametrelerini otomatik belirleyen, Expert for Insert Drilling Tool (EIDT) olarak adlandırılan, bir uzman sistem geliştirilmiştir. EIDT'nin geliştirilmesinde KAPPA-PC uzman sistem paket programı kullanılmıştır. Sistemin tasarımında 150'den fazla kural oluşturulmuştur. Kurallar, ISO normlarına göre hazırlanmıştır. EIDT programı delik çapı ve boyu, tolerans aralıkları, işlenecek malzeme özellikleri, delik türü ve operasyon tipi, vb. gibi veriler kullanılarak en uygun kesici takım önermektedir. Yapılan bu çalışma ile delik delme operasyonlarında uzman olmayan bir kişinin takma uçlu matkapları ve kesme parametrelerini, kolay, hızlı ve doğru bir şekilde seçebilmesi sağlanmıştır.

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A Knowledge-Based Industrial Robot Selection System for Manufacturing Industries

Cited by 2 publications

References 0 publications

About the need to develop an intelligent information system to evaluate investment project environmental effectiveness

About the need to develop an intelligent information system to evaluate investment project environmental effectiveness

Takma Uçlu Matkap Ve Kesme Parametrelerinin Seçimi için Bir Uzman Sistem

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