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Understanding production activities
Published in Mike Tooley, Engineering Technologies Level 3, 2017
Continuous production describes a manufacturing process where a product moves through a series of processes without stopping. This type of production is only appropriate for very high-volume manufacturing and it usually involves a high degree of automation which, in turn, demands significant investment in plant and equipment.
Sustainability outcomes in multi-tier supply chains: an empirical study of Turkish manufacturing firms
Published in International Journal of Production Research, 2023
Damla Durak Uşar, Mehmet Ali Soytas
Chun and Bidanda (2013) document the historical development of sustainable production criteria in their literature study. The foundations of the sustainable production idea date back to the 1960s. Workplace design, human factors and ergonomics have put employee health and production efficiency into the centre. With the development of continuous production systems in the 1980s and 1990s, it was aimed to eliminate waste, control total quality and increase total labour productivity. With the increasing globalisation in the 1990s, the optimisation of supply chain activities came to the fore. In the 2000s, the product life cycle perspective was developed, and recycling and disposal began to be integrated into supply chain activities. Today, manufacturing firms continue their activities with a green supply chain perspective to minimise their negative environmental and social impacts.
The revised Tennessee Eastman process simulator as testbed for SPC and DoE methods
Published in Quality Engineering, 2019
Francesca Capaci, Erik Vanhatalo, Murat Kulahci, Bjarne Bergquist
Continuous production during which the product is gradually refined through different process steps and with minimal interruptions (Dennis and Meredith 2000) is common across different industries. Today these processes manufacture both consumption goods such as food, drugs, and cosmetics, and industrial goods such as steel, chemicals, oil, and ore. Full-scale continuous production plants present analytical challenges since they are characterized by, for example, high-technological and complex production machinery, low flexibility, engineering process control (closed-loop operations) and high production volume. Automated data collection schemes producing multi-dimensional and high-frequency data generate additional analytical challenges. However, these processes still need to be improved continuously to remain competitive. Statistical process control (SPC) and design of experiments (DoE) techniques are essential in these improvement efforts.