scholarly journals Biopharmaceutical Industry Capability Building in India: Report from a Symposium

2021 ◽  
Author(s):  
Annu Uppal ◽  
Ranjan Chakrabarti ◽  
Narendra Chirmule ◽  
Anurag Rathore ◽  
Fouad Atouf
Keyword(s):  
Control Strategies ◽  
Biopharmaceutical Industry ◽  
Gene Therapies ◽  
Governmental Agencies ◽  
Global Standards ◽  
Advanced Manufacturing Technologies ◽  
The Us ◽  
Capability Building ◽  
Manufacturing Technologies ◽  
And Control

AbstractThe biopharmaceutical industry is evolving with a shift in focus from recombinant proteins and antibodies towards more complex cell and gene therapies. To be competitive globally, biomanufacturers need to focus on aligning with global standards with regard to drug quality, reducing manufacturing failures and delivering drugs to market quickly. Building these capabilities requires a multifaceted approach that includes improvements in operations, quality compliance, and control strategies. To address these needs, the US Pharmacopeia (USP), the Department of Biotechnology (DBT) India, and the Confederation of Indian Industry (CII) held a symposium to discuss the requirements and gaps in the biotechnology and pharmaceutical sectors in India and other developing countries. A panel of experts from academia, manufacturing, and governmental agencies identified several drivers needed for capability building, including a skilled workforce, public–private partnerships, advanced manufacturing technologies, novel biologics, and favorable policies. This article summarizes the recommendations put forward by this panel.

scholarly journals Value and barriers in the creation of intellectual property in advanced manufacturing: a country comparison

2019 ◽  
Vol 34 (3) ◽  
pp. 651-663
Author(s):  
Jon Charterina ◽  
Andrés Araujo
Keyword(s):  
Advanced Manufacturing ◽  
Enabling Technology ◽  
Content Type ◽  
Research Institutes ◽  
Advanced Manufacturing Technologies ◽  
The Us ◽  
Geographic Environment ◽  
Peripheral Areas ◽  
Manufacturing Technologies ◽  
Business To Business

PurposeThe purpose of this paper is to determine to what extent small sized and periphery-located firms compensate the comparative disadvantages of big centrally located firms, through patent ownership agreements with other agents, notably research institutes.Design/methodology/approachThe authors develop an empirical study of patents from two completely different economic areas, a central and a peripheral one, represented by Germany and Spain, respectively, in the domain of the Key Enabling Technology (KET) of advanced manufacturing technologies in robotics and automation. Comparing the population of 211 Spanish patents granted with a random sample of 500 German patents, from the files of the US Patent and Trademark Office, the authors obtain and test a series of logistic regression functions taking the predicted possibilities to develop patents with more citations, as a proxy for their value.FindingsWhereas big companies from central locations do not obtain more heavily cited patents from sharing their R&D activity with other firms or research institutes, smaller manufacturing firms in peripheral areas, namely, Spain, may find this advantageous. Additionally, patents containing fewer cited articles and citations of previous patents, tend to be cited more frequently. Finally, this same outcome is also observed with patents showing shorter time between the application and grant.Originality/valueTo the best of the authors’ knowledge, this is the first study on patent value which examines the KET of advanced manufacturing technologies in robotics and automation, comparing a central to a peripheral geographic environment, and determining the number, diversity and size of patent assignees. The results prove relevant in general for manufacturing businesses, especially in the Machine-Tool and machinery producing industry. Overwhelmingly, these firms tend to be SMEs basing their marketing activity entirely on a Business-to-Business (B2B) focus, and facing serious obstacles for R&D activity.

scholarly journals The concept of the industry 4.0 in a German multinational instrumentation and control company: a case study of a subsidiary in Brazil

2018 ◽  
Vol 9 (3) ◽  
pp. 933 ◽  
Author(s):  
Renato Mana ◽  
Francisco I. Giocondo César ◽  
Ieda Kanashiro Makiya ◽  
Waini Volpe
Keyword(s):  
Industry 4.0 ◽  
Descriptive Analysis ◽  
Advanced Manufacturing ◽  
Maturity Level ◽  
Future Studies ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies ◽  
New Applications ◽  
And Control

The study aims to present the industry's 4.0 concepts and facilities available on the market, applied in a German instrumentation and control industry in Brazil. The study aims to present advanced manufacturing technologies that are already being applied in the company studied. As a research method, a bibliographic review is done first, followed by a qualitative, quantitative and descriptive analysis of the results of a case study. The results are intended to present the company's maturity level in relation to Industry 4.0 (I.4.0) as well as to diagnose possible new applications to increase the control and monitoring of its activities. At the end of the paper, suggestions for future studies will be available to complement the methodology proposed in this study.

Effective infection prevention and control strategies in a large accredited psychiatric facility in Singapore

2020 ◽  
Author(s):  
Daniel Poremski ◽  
Sandra Henrietta Subner ◽  
Grace Lam Fong Kin ◽  
Raveen Dev Ram Dev ◽  
Mok Yee Ming ◽  
...  
Keyword(s):  
Mental Health ◽  
Prevention And Control ◽  
Infection Prevention ◽  
Control Strategies ◽  
Infection Prevention And Control ◽  
Psychiatric Facility ◽  
Essential Services ◽  
Community Transmission ◽  
And Control

The Institute of Mental Health in Singapore continues to attempt to prevent the introduction of COVID-19, despite community transmission. Essential services are maintained and quarantine measures are currently unnecessary. To help similar organizations, strategies are listed along three themes: sustaining essential services, preventing infection, and managing human and consumable resources.

Optimization and Control Petroleum Refinery Wastewater Treatment Systems — Status, Trends and Needs

1989 ◽  
Vol 24 (3) ◽  
pp. 463-477
Author(s):  
Stephen G. Nutt
Keyword(s):  
Wastewater Treatment ◽  
Process Control ◽  
Petroleum Refinery ◽  
Control Strategies ◽  
Refinery Wastewater ◽  
Statistical Process ◽  
Petroleum Refinery Wastewater ◽  
Optimization And Control ◽  
And Control ◽  
Wastewater Treatment Systems

Abstract Based on discussions in workshop sessions, several recurring themes became evident with respect to the optimization and control of petroleum refinery wastewater treatment systems to achieve effective removal of toxic contaminants. It was apparent that statistical process control (SPC) techniques are finding more widespread use and have been found to be effective. However, the implementation of real-time process control strategies in petroleum refinery wastewater treatment systems is in its infancy. Considerable effort will need to be expended to demonstrate the practicality of on-line sensors, and the utility of automated process control in petroleum refinery wastewater treatment systems. This paper provides a summary of the discussions held at the workshop.

Learning and control

2018 ◽  
Author(s):  
Ivan Herreros
Keyword(s):  
Machine Learning ◽  
Reinforcement Learning ◽  
Brain Function ◽  
Control Strategies ◽  
Learning Problems ◽  
Animal Learning ◽  
Feed Forward Control ◽  
Machine Learning Applications ◽  
And Control

This chapter discusses basic concepts from control theory and machine learning to facilitate a formal understanding of animal learning and motor control. It first distinguishes between feedback and feed-forward control strategies, and later introduces the classification of machine learning applications into supervised, unsupervised, and reinforcement learning problems. Next, it links these concepts with their counterparts in the domain of the psychology of animal learning, highlighting the analogies between supervised learning and classical conditioning, reinforcement learning and operant conditioning, and between unsupervised and perceptual learning. Additionally, it interprets innate and acquired actions from the standpoint of feedback vs anticipatory and adaptive control. Finally, it argues how this framework of translating knowledge between formal and biological disciplines can serve us to not only structure and advance our understanding of brain function but also enrich engineering solutions at the level of robot learning and control with insights coming from biology.

Current status, problems and control strategies of water resources pollution in China

Water Policy ◽  
2014 ◽  
Vol 17 (3) ◽  
pp. 423-440 ◽  
Author(s):  
Lei Wu ◽  
Tong Qi ◽  
Dan Li ◽  
Huijuan Yang ◽  
Guoqing Liu ◽  
...  
Keyword(s):  
Water Pollution ◽  
Control Strategies ◽  
Water Environment ◽  
Underground Water ◽  
National Standard ◽  
Current Status ◽  
Food Borne ◽  
Major River ◽  
And Control ◽  
Research And Policy

The surface water of 10 major river systems across China has been under intermediate pollution with striking eutrophication problems in major lakes (reservoirs). More data from the Ministry of Environmental Protection of China showed that underground water in 57% of monitoring sites across Chinese cities was polluted or extremely polluted. Rural water pollution, the rising number of incidents of industrial pollution, outdated sewerage systems, and the overuse of pesticides and chemical fertilizers also endanger the health of rural inhabitants in China. Nearly 0.2 billion rural residents could not use drinking water in accordance with the national standard, and there were reports of ‘cancer villages' and food-borne diseases (cancer village refers to a village where a certain proportion of its inhabitants suffer from the same kind of cancer or where there is a hike in cancer incidence in that area). This study aims to raise awareness of the prevention and control of water pollution and to propose a set of national research and policy initiatives for the future safety of the water environment in China.

scholarly journals Connectivity as a Design Feature for Industry 4.0 Production Equipment: Application for the Development of an In-Line Metrology System

2021 ◽  
Vol 11 (3) ◽  
pp. 1312
Author(s):  
Ana Pamela Castro-Martin ◽  
Horacio Ahuett-Garza ◽  
Darío Guamán-Lozada ◽  
Maria F. Márquez-Alderete ◽  
Pedro D. Urbina Coronado ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Design Feature ◽  
Production Equipment ◽  
Smart Manufacturing ◽  
Process Data ◽  
Industrial Sectors ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies ◽  
Equipment Application ◽  
The Impact

Industry 4.0 (I4.0) is built upon the capabilities of Internet of Things technologies that facilitate the recollection and processing of data. Originally conceived to improve the performance of manufacturing facilities, the field of application for I4.0 has expanded to reach most industrial sectors. To make the best use of the capabilities of I4.0, machine architectures and design paradigms have had to evolve. This is particularly important as the development of certain advanced manufacturing technologies has been passed from large companies to their subsidiaries and suppliers from around the world. This work discusses how design methodologies, such as those based on functional analysis, can incorporate new functions to enhance the architecture of machines. In particular, the article discusses how connectivity facilitates the development of smart manufacturing capabilities through the incorporation of I4.0 principles and resources that in turn improve the computing capacity available to machine controls and edge devices. These concepts are applied to the development of an in-line metrology station for automotive components. The impact on the design of the machine, particularly on the conception of the control, is analyzed. The resulting machine architecture allows for measurement of critical features of all parts as they are processed at the manufacturing floor, a critical operation in smart factories. Finally, this article discusses how the I4.0 infrastructure can be used to collect and process data to obtain useful information about the process.

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