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1.
Pharmaceutical Technology Europe ; 34(1):27-28, 2022.
Article in English | ProQuest Central | ID: covidwho-20240231

ABSTRACT

During the United States government's push for vaccine development and manufacturing (dubbed Operation Warp Speed)-and partly because of it-capital projects struggled to acquire adequate construction materials and equipment. Additionally, video production equipment was leveraged to offer an overview of progress in real time and even perform equipment testing. [...]startups are competing for a few outsourced manufacturing slots. The main solution to limited manufacturing opportunities is to work with a consulting partner who can help them accelerate the process of finding, prequalifying, and negotiating with appropriate and available contract manufacturers.

2.
European Journal of Operational Research ; 304(1):353-365, 2023.
Article in English | Web of Science | ID: covidwho-2309551

ABSTRACT

In this paper, a comprehensive production planning problem under uncertain demand is investigated. The problem intertwines two NP-hard optimization problems: an assembly line balancing problem and a capacitated lot-sizing problem. The problem is modelled as a two-stage stochastic program assuming a risk-averse decision maker. Efficient solution procedures are proposed for tackling the problem. A case study related to mask production is presented. Several insights are provided stemming from the COVID-19 pandemic. Finally, the results of a series of computational tests are reported. (c) 2021 Elsevier B.V. All rights reserved.

3.
Applied Sciences ; 12(15):7534, 2022.
Article in English | ProQuest Central | ID: covidwho-1993921

ABSTRACT

In order to cope with the changing era of the innovative management paradigm of the manufacturing industry, it is necessary to advance the construction of smart factories in the domestic manufacturing industry, and in particular, the 3D design and manufacturing content sector is highly growthable. In particular, the core technologies that enable digital transformation VR (Virtual Reality)/AR (Augmented Reality) technologies have developed rapidly in recent years, but have not yet achieved any particular results in industrial engineering. In the manufacturing industry, digital threads and collaboration systems are needed to reduce design costs that change over and over again due to the inability to respond to various problems and demands that should be considered when designing products. To this end, we propose a VR/AR collaboration model that increases efficiency of manufacturing environments such as inspection and maintenance as well as design simultaneously with participants through 3D rendering virtualization of facilities or robot 3D designs in VR/AR. We implemented converting programs and middleware CPS (Cyber Physical System) servers that convert to BOM (Bill of Material)-based 3D graphics models and CPS models to test the accuracy of data and optimization of 3D modeling and study their performance through robotic arms in real factories.

4.
European Research Studies ; 25(2B):307-315, 2022.
Article in English | ProQuest Central | ID: covidwho-1989391

ABSTRACT

Purpose: The purpose of this paper is an analysis of the implementation of robotic process automation in the logistics processes of a selected production company (case study). Design/Methodology/Approach: The following research methods were used: desk research and case study. The results of the research can be used in terms of recommendations for entrepreneurs in the approach to implementing the RPA concept, and thus improving the functioning of the organization. Findings: The results of the research can be used in terms of recommendations for entrepreneurs in the approach to implementing the RPA concept, and thus improving the functioning of the organization. The term Robotic Process Automation (RPA) appeared relatively recently, but the phenomenon itself has been around for a long time. Practical Implications: Logistics processes, and in particular the costs related to their implementation, are an important element of the economic process. Automation of logistics processes related to logistics processes, and even entire production lines, is becoming a global trend. At the same time, the implementation of this type of improvements and innovations can be carried out in virtually any organization, regardless of the industry and scale of activity. Based on the case study, it was shown that the robotic automation of processes in the logistics of the tested production company contributed to the reduction of the total costs of the entity by about 10%. Originality/Value: The added value of the article is related to tracing the effects of RPA application in the field of logistics processes of a production company - thanks to which it is possible to indicate benefits in the case of a relatively small scale of activity (entity from the SME sector).

5.
IOP Conference Series. Materials Science and Engineering ; 1235(1):012012, 2022.
Article in English | ProQuest Central | ID: covidwho-1774312

ABSTRACT

An industrial manufacturing company must adapt to the market all the time. If not, there is a high risk of losing money and the business can fail (for example in 2020, due to COVID 19 situation, more than 40% of businesses have temporary close their business and 60% of them have remained permanently closed). Wouldn’t be wonderful if the manufacturing process can be flexible and adapted in function of the customer demand? Industry 4.0 does that – in the function of orders, software can tell us with how many people or machines can work, what will be the rooting/flow, how much energy is needed for that manufacturing process, etc. and most important – when the goods will be on the market. Industry 4.0 is playing a role more and more important in all the fields, as everybody is looking for performance and efficiency. This article is showing a study on an assembly line for the gear shifter of a manual gearbox. People might be taking wrong decisions when there is a tight situation regarding breakdowns or capacity crisis, but a good system in place can guide the humans to apply the best solution to avoid losses and increase productivity. In this article you will find an example of how Industry 4.0 can influence an assembly line, for a simple product, by increasing the productivity at 133% versus a traditional line who lost 40% in productivity due to a machinery breakdown.

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