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Circular Economy and Product Longevity
Published in Louise Møller Haase, Linda Nhu Laursen, Designing for Longevity, 2023
Louise Møller Haase, Linda Nhu Laursen
Product lifecycle refers to the entire process and series of stages of a given product, ranging from materials being processed, design, production, distribution, sales and use to disposal and recycling (in closed loop models). In the field of CE, a lifecycle assessment (LCA) is a widely used technique for calculating the overall environmental impact of a product, from its raw materials to the resultant waste. In Figure 2.2, a full circle depicts one product lifecycle.
Advances in MQL Machining
Published in Kishor Kumar Gajrani, Arbind Prasad, Ashwani Kumar, Advances in Sustainable Machining and Manufacturing Processes, 2022
Milon Selvam Dennison, Kirubanidhi Jebabalan, M. Neelavannan, M. Abisha Meji
A sustainable development strategy is a major strategy for mankind to get rid of the dilemma of lack of resources and environmental degradation and to realize the transition from industrial civilization to an ecological civilization [17, 18]. It contains at least the following two meanings: first is development, and then is the sustainability of development. Specific to the sustainable development of the machining field, it is not only to continue to develop in the direction of high efficiency, high precision, high flexibility, and automation but also to adopt clear-cutting methods to achieve “sustainable manufacturing” or “green manufacturing” [3, 5]. The concept of green manufacturing was first proposed by the Organisation for Economic Co-operation and Development. It is a modern manufacturing model that comprehensively considers the environmental impact and resource efficiency. The goal is to make the product throughout the product life cycle, from design to manufacturing to transportation, with an optimum utilization of resources. Environment, resources, and population are the three main issues of the universe. It is imperative to implement green manufacturing in the manufacturing industry in the 21st century. The domains of green manufacturing are depicted in Figure 5.4. In the manufacturing sector, traditional machining technology is facing challenges due to its serious pollution to the environment. Therefore, green machining has emerged as the times require.
Sustainability of Large-Scale Industries in the Global Market
Published in Shwetank Avikal, Amit Raj Singh, Mangey Ram, Sustainability in Industry 4.0, 2021
Pragati Sinha, Monica Sharma, Rajeev Agarwal
“Product lifecycle sustainability” is an approach to managing the stages of a product’s existence so that any negative impact on the environment is minimized. Continuous monitoring of environmental footprint of materials used and products manufactured from beginning till end of product life cycle, in tandem with return, reutilization and remanufacture of products demands accuracy and never-ending standardization and control mechanism. At each stage of industrial manufacturing, natural resources are consumed and emissions to air, water and soil are released in the environment. Life-cycle assessments at each stage (design-extraction of raw materials-manufacturing-packaging-distribution-end consumption-recycling) in large scale industries are complicated and require lot of detailing (Sutherland et al., 2020).
Personal protective equipments (PPEs) for COVID-19: a product lifecycle perspective
Published in International Journal of Production Research, 2022
Shubhendu Kumar Singh, Raj Pradip Khawale, Haiyong Chen, Haolong Zhang, Rahul Rai
What can we do to alleviate the problem of the acute exigency of PPEs in pandemic crises? What can we learn from the current pandemic that can inform responses to future crises concerning PPEs How do we develop a structured process that provides a system-level approach for tackling the PPE exigency problem? This perspective paper's strong focus is to answer the questions posed above by focussing on initiating a system-level thinking process, particularly for policy, strategic, and tactical planning purposes. System thinking principles can act as a core to organise knowledge in issues related to PPEs. Product lifecycle management (PLM) is a system-level framework that focuses on managing and controlling entire product development, manufacturing, maintenance, and support processes all the way through until the product is retired or disposed of. A PLM based system-level thinking process is adhered to in the outlined paper. Next, we motivate why a PLM-based system thinking process is a required and reasonable approach for tackling the PPE exigency problem.
AI-enabled Enterprise Information Systems for Manufacturing
Published in Enterprise Information Systems, 2022
Milan Zdravković, Hervé Panetto, Georg Weichhart
AI application is found in the earliest phases of PL, namely product design. Explainable AI helps in understanding consumer shopping behaviour and using it to further optimise product design, development, and sourcing (Sajja et al. 2020). ANNs are used for assessing environmental impact of the products in the design and conception phase (Park and Seo 2003). In fact, reducing production waste is sometimes one of the key requirements, with intelligent manufacturing systems playing the key role in addressing that requirement (Ahmed and Kareem 2019). One of the main challenges for PLM that is being increasingly addressed by AI is predicting product life cycle cost. Product lifecycle cost includes all costs in all stages of product lifecycle, including use and disposal. Many different ML models including ANNs are used for predicting the life cycle cost of a new product (H. Liu et al. 2009). Predicting product obsolescence is in direct relation to LC cost. Product obsolescence is a major challenge, driven by frequent technology changes and innovation, especially since it can occur suddenly. ML is used to predict the level of obsolescence risk and the date when part becomes obsolete. RF, ANN and SVM are used to classify parts as active or obsolete with 98% accuracy (Jennings, Wu, and Terpenny 2016).
Formalising product deletion across the supply chain: blockchain technology as a relational governance mechanism
Published in International Journal of Production Research, 2022
Qingyun Zhu, Mahtab Kouhizadeh, Joseph Sarkis
Products and associated materials flow between and link supply chain activities. Extant product (portfolio) management studies have primarily focused on earlier stages of a product’s lifecycle; many of which have appeared in the past 60 years of IJPR publication. Respectively, product life cycle stages include product introduction stage (i.e.: new product development, product design) (e.g. see Ayag 2005), product development stage (i.e.: product proliferation, product line extension) (e.g. see Chaudhuri, Mohanty, and Singh 2013), product maturity stage (i.e.: product upgrade, product innovation, product efficiency) (e.g. see Dash, Gajanand, and Narendran 2018; Rahmanzadeh, Pishvaee, and Rasouli 2020). Product deletion has mostly occurred at the end of the product lifecycle – the product decline stage – which can also impact supply chain performance and outcomes, but has not received commensurate attention (Zhu et al. 2021).