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Affiliation

St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), St. Petersburg, Russia

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2 Papers

Product Configuration Automation: Digital Transformation Platform and Case Study

Topic: Digital Transformation Strategies of Industrial Enterprises

Authors: Alexander Smirnov ¹ , Alexey Kashevnik ¹ , Nikolay Shilov ¹ , Nikolay Teslya ¹ , Mikhail Petrov ¹ , Mario Sinko ² , Jens Arneving ² , Michael Humpf ² and Thorsten Kolmer ²

Affiliations: ¹ St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), St. Petersburg, Russia , ² Festo SE & Co. KG, Esslingen, Germany

Digital Object Identifier: 10.5220/0011524100003329

Proceedings of IN4PL 2022, ISBN: 978-989-758-612-5

Quick Abstract

The paper discusses more than 10-year experience in product configuration automation based on number of joint projects between an academic institution and an industrial partner. During the last years, the research and development in the era of digital transformation has enabled a shift from conventional company business processes to digital business processes. In the paper we present several business processes that have been successfully automated what in turn has significantly decreased the product configuration time as well as errors caused by the human factor. The following business processes are covered: identcode (product code) related procurement, product segmentation, delivery class specification, supply chain & production management; online & offline sales, and customer guidance. We present the developed platform to support these business processes that consists of 10 workflows. We have integrated the developed workflows to the company production processes and show that business process execution time in average has decreased by 2 times and for some processes by more than 10 times. At the moment, the developed platform is being successfully used by the company.

Early-identification of Human Resource Trends and Innovations through Web-scraping Technology

Topics: Knowledge Management; Applications of Expert Systems

Authors: Alexander Smirnov ¹ , Nikolay Shilov ¹ , Alexey Kashevnik ¹ , Mikhail Petrov ^{2

;

1} , Simon Brugger ³ and Tefik Ismaili ³

Affiliations: ¹ St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), St. Petersburg, Russia , ² ITMO University, St. Petersburg, Russia , ³ Festo SE & Co. KG, Esslingen, Germany

Digital Object Identifier: 10.5220/0010438606420651

Proceedings of ICEIS 2021, ISBN: 978-989-758-509-8

Quick Abstract

The paper presents an innovation management approach within the human resources (HR) management area. The approach provides possibilities to search and scrape HR trends and the joint global evaluation of those trends by an expert community. We developed a platform that scrapes human resources websites and parses the documents based on pre-defined keywords to support the innovation management approach and to identify the innovations that are applicable to the HR domain. It is based on the analysis of term occurrence frequency change during a period. The evaluations of innovations are done by HR Process Owners and the global HR Expert Community. For project staffing, innovation-specific requirements are matched with employee skill profiles.