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The Chicken or the Egg? On the Interplay between Culture and Quality Management Systems
Published in Norhayati Zakaria, Flevy Lasrado, Embedding Culture and Quality for High Performing Organizations, 2019
Roslina Ab Wahid, Nigel P. Grigg
The field of quality management has evolved over the twentieth and twenty-first centuries; from an era of mass production and inspection, through more preventive quality control including statistical methodologies, to the documentation of systems providing quality assurance, and finally the extension of quality management to the whole organization, or even the supply chain (Dale et al., 2016; Bounds et al., 1994; Kaye and Anderson, 1999; Saad and Siha, 2000). The final stage in this evolution has been known as total quality control (TQC) and total quality management (TQM), and now goes by many names including organizational excellence or performance excellence. The essential component element that is continuous improvement is increasingly tackled using methodologies such as Lean thinking, Six Sigma, Kaizen, and other variants.
Environmentally led strategies
Published in Jane Penty, Product Design and Sustainability, 2019
Additive manufacturing in the form of 3D printing is rapidly changing what, who and how we make physical objects. This is forcing product designers to re-examine their role and ask themselves: Can anyone be a designer? While 3D printing is not yet in a position to replace mass production in speed or efficiency, it is revolutionising the on-demand, low-volume and one-off production of medical implants and prosthetics, furniture, architecture, aerospace, fashion accessories and personalised products. AM also has the potential to create designs that are much more efficient in their use of materials, reduce waste in production and extend product life by printing parts for repairing. In spite of this, unless we build in recycling, recyclability and closed loops into our products and systems now, 3D printing has the potential to be another feedstock for our plastic waste mountains.
Manufacturing Excellence in Ceramic Industry
Published in Debasish Sarkar, Ceramic Processing, 2019
Mithugopal Mandal, Debasish Sarkar
Upcoming technologies, including 3D printing, will evolve from prototyping to a viable means of mass production in the 2020s. Advances in 3D printing will enhance parts design, manufacturing processes, and printing technology. At the same time, the use of nanomaterials, which we’re seeing today in products like clothing, sports goods and electronics, will expand into an industry worth $170 billion a year. Coupled with improvements in robotics and AI, new areas of demand will emerge.
Evaluating barriers to implementing green supply chain management: An example from an emerging economy
Published in Production Planning & Control, 2020
Towfique Rahman, Syed Mithun Ali, Md. Abdul Moktadir, Simonov Kusi-Sarpong
The present economy of the world is largely dependent on manufacturing and production (Agyemang et al. 2019). However, due to the emerging needs, manufacturers are giving utmost priority to mass production giving less priority to the environmental sustainability (Ho et al. 2009; Petljak et al. 2018; Tseng et al. 2013). Yet, ecological balance is a must for the existence of human being. Energy is limited, therefore, reduction in energy use can result in dramatic positive consequences in the long run (Kaviani et al. 2019). Local and global advocacy groups and governments are very much concerned about the present condition of the world. Therefore, they are giving pressures to the industries to adopt GSCM practices in their management and operations (Tseng et al. 2019; Zhu, Sarkis, and Lai 2007; Zhu and Cote 2004).
Influence of 3D printing on transport: a theory and experts judgment based conceptual model
Published in Transport Reviews, 2018
Most publications concern the impact of 3D printing on the location of manufacturing. 3D printing creates the opportunity to move from mass production to mass customisation to personalisation and distributed production (Bhattacharjya et al., 2014; Mourtzis & Doukas, 2013). This development is associated with two extreme scenarios: centralised versus decentralised manufacturing (Li, Jia, Cheng, & Hu, 2016). Most publications envisage that 3D printing means a more decentralised manufacturing, offering greater proximity to customers and responsiveness to market needs (Fornasiero, Chiodi, Carpanzano, & Carneiro, 2010; Manners-Bell & Lyon, 2012), possibilities to cut out middlemen (Jia, Wang, Mustafee, & Hao, 2016), and even a “de-globalisation” or reshoring of manufacturing to high-income countries (Campbell, Williams, Ivanova, & Garrett, 2011). This is driven by the fact that designs can travel digitally across the globe (Janssen et al., 2014) and may even replace movement of products (Garrett, 2014). The precise locations of the 3D printers can vary, ranging from “print shops” on different continents, city- or neighbourhood-level hubs or “mini-factories” at local service providers such as libraries, community centres and post offices), to printers located at consumers’ homes (PWC, 2014; Rauch et al., 2016; United States Postal Service Office of Inspector General, 2014). Production sites that are flexible, lean, agile and responsive are likely to perform well (Barz et al., 2016; Bogers et al., 2016; Jonsson & Holmström, 2016).
Human-robot collaborative work cell implementation through lean thinking
Published in International Journal of Computer Integrated Manufacturing, 2019
Dorota Stadnicka, Dario Antonelli
Traditionally, the main purposes of upgrading manual production cells with robot automation are to guarantee the safety of workers during heavy work activities, to improve production quality and to ensure a better repeatability of the process. Robot automation requires the replacement of humans with robots in fully automated cells because of safety issues and robot limited sensory capacities (Charalambous, Fletcher, and Webb 2015a). Full automation may increase productivity, but it is expensive and does not have the flexibility required to adapt to frequent variable productions. Therefore, in the past, robot automation was mainly employed in a mass production context.