The first IOF (Industrial Ontology Foundry) )working group workshop was held in Buffalo in July 2018. The objective was to develop a tentative roadmap for the next few months. Below is the summary of the developed roadmap:
Farhad Ameri, an associate professor of manufacturing engineering and technology at Texas State University and an expert in design theory and ontology engineering, will deliver the keynote address for a UB workshop that seeks to advance the understanding of capabilities within information systems.
“Capabilities: Human and Machine” will take place at 12:45 p.m. April 20 in 126 Bonner Hall, North Campus, University at Buffalo School of Engineering and Applied Sciences, Buffalo, NY
Our paper title”Concept-Based Text Mining Technique for Semantic Classification of Manufacturing Suppliers” was featured on the ASTM Journal of Sustainable and Smart Manufacturing Systems.
Our paper, titled ” A Thesaurus-guided Text Analytics Technique for Capability-based Classification of Manufacturing Suppliers” received the the 2017 SEIKM/CIE Best Paper award. The CIE conference was held is Cleveland, OH in August 2017.
Capability analysis is a necessary step in the early stages of supply chain formation. Most existing approaches to manufacturing capability evaluation and analysis use structured and formal capability models as input. However, manufacturing suppliers often publish their capability data in an unstructured format. The unstructured capability data usually portrays a more realistic view of the services a supplier can offer. If parsed and analyzed properly, unstructured capability data can be used effectively for initial screening and characterization of manufacturing suppliers specially when dealing with a large pool of prospective suppliers. This work proposes a novel framework for capability-based supplier classification that relies on the unstructured capability narratives available on the suppliers’ websites. Naïve Bayes is used as the text classification technique. One of the innovative aspects of this work is incorporating a thesaurus-guided method for feature selection and tokenization of capability data. The thesaurus contains the informal vocabulary used in the contract machining industry for advertising manufacturing capabilities. An Entity Extractor Tool (EET) is developed for the generation of the concept vector model associated with each capability narrative. The proposed supplier classification framework is validated experimentally through forming two capability classes, namely, heavy component machining and difficult and complex machining, based on real capability data.
Texas State’s first Digital Manufacturing and Design Innovation Institute ( DMDII ) project was kicked off in the UI LABS headquarter in downtown Chicago on February 10th 2017.Dr. Farhad Ameri is the PI from Texas State on this project. The project is titled “Capability Modeling for Digital Factory (CaMDiF)”.
The objective this project is to enhance the intelligence and effectiveness of various supply chain decisions through providing real-time, dynamic insight into the technological capabilities, capacities, and quality history of manufacturing suppliers. This project will result in creation of a cloud-based software solution for manufacturing capability modeling and sharing supported by a formal ontology. This project is conducted in collaboration with the Applied Research Institute (ARI) at the University of Illinois at Urbana- Champaign (UIUC), Indiana Technology and Manufacturing Companies (ITAMCO), and the Innovation Machines. Texas State leads this project technically.
Dr. Ameri Attended the first workshop on Industrial Ontology Foundry (IOF) at NIST, Gaithersburg, MD. The objective of this first workshop was to identify industry needs and research issues that will lead to a roadmap for development of such IOF. Academic and industrial representatives (including representatives form Dassault Systems, JPL, and Autodesk) participated in this workshop to identify the major challenges and develop a roadmap. .
Ontologies and semantic technologies have seen increasing uses in engineering applications; and most recently they have gained traction in the context of advanced manufacturing. Nearly all projects in the EU H2020 FoF project have adopted ontology as a component. Similarly, NIST’s smart manufacturing projects also have an ontology as a component. In addition, over the last two decades, NIST has developed several ontologies in the manufacturing and other engineering domains. These ontologies served various, overlapping objectives and related yet disparate. The goal of the IOF is to bring together ontologies in the industrial domain so that they can together provide more industrial value.
In November, Texas State students attended the annual FEF College Industry Conference at the Westin Hotel in downtown Chicago. Texas State is one of only 20 FEF accredited Metalcasting Programs in the United States. FEF provides thousands of dollars each year in scholarship opportunities and equipment to support our students. The College Industry Conference brings together what FEF is all about: students, professors, and industry leaders. Companies have a unique opportunity to meet the top engineering students in the country.The Career Information Session allows a company to interview or to acquaint future leaders with their products and services. More than $40,000 in special scholarships and grants is available to undergraduate and graduate students. Texas State Key Professor, Dr. Farhad Ameri attended this year’s CIC along with AFS students Eunice Solis, Parker Jackson, Jeremiah Converse, and Carter McCain.
Special congratulations to Eunice Solis, who won a$2,000 Scholarship. Eunice is the second Texas State student to win a scholarship at CIC since 2010.
Dr. Ameri presented two research papers co-authored by Peyman Yazdizadeh Shotorbani and Ramin Sabbagh (graduate students from Engineering Informatics Research Group) at Advances in Production Management Systems (APMS) in Iguassu Falls, Brazil . The papers presented at the conference are titled “ Digital Factories for Capability Modeling and Representation” and “A Hybrid Method for Manufacturing Text Mining based on Clustering and Topic Modeling Techniques”. Dr. Ameri was elected as a member of IFIP Working Group on Advances in Production Management Systems in 2015.
Dr. Farhad Ameri chaired the Product Lifecycle Management (PLM) International Conference in that was held in Columbia, South Carolina in July 2016. This year, 69 papers from 19 countries were presented at the conference. PLM International Conference (PLM IC) brings together researchers, developers, and users of Product Lifecycle Management (PLM), an integrated business approach to the collaborative creation, management and dissemination of product and process data throughout the extended enterprises that create, manufacture and operate engineered products and systems. The conference aims at involving all stakeholders of PLM, hoping to shape the future of this field and advance the science and practice of enterprise development.