Understanding AI Application Dynamics in Oil and Gas Supply Chain Management and Development: A Location Perspective

The purpose of this paper is to gain a better understanding of Artificial Intelligence (AI) application dynamics in the oil and gas supply chain. A location perspective is used to explore the opportunities and challenges of specific AI technologies from upstream to downstream of the oil and gas supply chain. A literature review approach is adopted to capture representative research along these locations. This was followed by descriptive and comparative analysis for the reviewed literature. Results from the conducted analysis revealed important insights about AI implementation dynamics in the oil and gas industry. Furthermore, various recommendations for technology managers, policymakers, practitioners, and industry leaders in the oil and gas industry to ensure successful AI implementation were outlined. Doi: 10.28991/HIJ-SP2022-03-01 Full Text: PD

Factors Affecting U.S. Trade and Shipments of Information Technology Products: Computer Equipment, Telecommunications Equipment, and Semiconductors

Despite a recent downturn, the information technology (IT) products sector experienced a tremendous expansion in trade and shipments during the last decade and became an increasingly important component of the U.S. economy. This expansion was driven by a variety of factors such as the globalization of IT production, constant technological innovation, rapid growth in worldwide consumption, and global trade liberalization. This working paper will examine these factors, providing particular attention to the computer equipment, telecommunications equipment, and semiconductor industries.International Development,

Manufacturing Prosperity: A Bold Strategy for National Wealth and Security

Offshore production in advanced manufacturing has reached a critical point in which the strategy of “invent here, manufacture there” has become “invent there, manufacture there.” The United States must take bold steps to arrest this development and take advantage of transformational technologies to rebuild domestic manufacturing prowess for national wealth and security. These bold steps require a central national focal point with a comprehensive strategy, and significant and sustained public and private investments: 1. Invest in translational research and manufacturing innovation 2. Encourage domestic pilot production and scale-up 3. Empower small and medium-sized manufacturers to deploy advanced technologies 4. Grow domestic engineering and technical talentNational Science Foundation, Grant No. 1552534https://deepblue.lib.umich.edu/bitstream/2027.42/145156/1/ManufacturingProsperityReport_digital_reduced.pdfDescription of ManufacturingProsperityReport_digital_reduced.pdf : Repor

Robotic Process Automation: a review of organizational grey literature

Research on Robotic Process Automation (RPA) in the last decade has increased but lags behind developments in practice. This study explores the definition, evolution and categories of RPA, its benefits and challenges, identifies guidelines for implementation and provides a future outlook. Since there is an evident scarcity of comprehensive grey literature reviews in the area, this study presents an extensive narrative review of organizational grey literature on RPA by analyzing sixty-one organizational reports and white papers published between 2015 and 2020. This study provides a unified definition of RPA and groups the many categories of RPA into three types: basic automation, cognitive automation, and artificial intelligence. The study identifies the benefits of RPA and categorizes them into monetary; simplicity; efficiency and productivity; flexibility and scalability; reliability and consistency; compliance and governance; customer satisfaction; employee efficiency; and other long-term organizational benefits. The main challenges of RPA are awareness and perception of RPA; uncertainty about how to prepare for RPA; change management challenges while implementing RPA; and challenges associated with RPA vendors. Three main steps of RPA implementation are highlighted. This study provides practitioners and researchers with an extensive bird’s eye insight into RPA from an industry perspective

Robotic Process Automation: a review of organizational grey literature

Research on Robotic Process Automation (RPA) in the last decade has increased but lags behind developments in practice. This study explores the definition, evolution and categories of RPA, its benefits and challenges, identifies guidelines for implementation and provides a future outlook. Since there is an evident scarcity of comprehensive grey literature reviews in the area, this study presents an extensive narrative review of organizational grey literature on RPA by analyzing sixty-one organizational reports and white papers published between 2015 and 2020. This study provides a unified definition of RPA and groups the many categories of RPA into three types: basic automation, cognitive automation, and artificial intelligence. The study identifies the benefits of RPA and categorizes them into monetary; simplicity; efficiency and productivity; flexibility and scalability; reliability and consistency; compliance and governance; customer satisfaction; employee efficiency; and other long-term organizational benefits. The main challenges of RPA are awareness and perception of RPA; uncertainty about how to prepare for RPA; change management challenges while implementing RPA; and challenges associated with RPA vendors. Three main steps of RPA implementation are highlighted. This study provides practitioners and researchers with an extensive bird’s eye insight into RPA from an industry perspective

Evaluation of the potential for automation and robot technology, with focus on condition monitoring on static systems for topside offshore facilities.

Master's thesis in Offshore technologyDigitalization has become one of the most important development areas across industries and work processes. We know that this also has high focus in the oil industry today. Therefore, my contribution would be to try to see where the oil and gas industry is today, the trends and what are the potential moving forward. Automation and use of robot technology has developed very rapidly the last years. Technology trends indicates large potential for automated systems in maintenance and condition monitoring. We see that this technology is implemented to a large extent in other industries. The drivers for the oil and gas industry has historically been based on improved safety. We see now a potential for both cost avoidance, reduced downtime and less impact on the environment Maintenance and inspection is a large cost for the oil industry. In addition, these processes often cause shut down of the facilities. Condition monitoring and maintenance is based on the actual status of equipment and systems. Today’s technology makes it possible. In addition, robot technology has a potential for improving safety and reduce cost and downtime by avoiding human interactions. The oil and gas industry has not been a front runner compared to other industries. The conservatism driven by safety and reliability requirements might be one reason to this. At the same time, we see a growing interest and a lot of initiatives and developments. I have chosen to study topside static systems on offshore platforms. This to be able to narrow down the study. But in general, the descriptions, analysis and discussions may also be relevant for other systems

Employment Trends in Textiles and Apparel, 1973-2005

[Excerpt] The article “examines employment trends in the textile and apparel industries, reviewing the likely causes of both the recent historical and projected declines, their varied effects across occupations groups, and the response American producers have developed to adapt to the rapidly changing economic realities”