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    <subfield code="a">Injection moulding stands as a broadly employed production method for crafting plastic  components and items. The excellence of the eventual plastic product hinges significantly  on diverse process factors that necessitate meticulous management throughout the  injection moulding procedure. These factors assume a vital role in defining the physical  attributes, visual appeal, and operational capacity of the end result. Furthermore, the  adoption of sustainable manufacturing methods holds significance in mitigating the  ecological consequences of industrial procedures, all the while upholding product  excellence. The integration of sustainability principles into determinations regarding  injection moulding process parameters demands a comprehensive outlook.  Manufacturers must endeavour to harmonize product quality, procedural effectiveness,  and ecological influence. This entails a meticulous evaluation of how each parameter  influences both the calibre of the product and its ecological imprint. Key players in the  industry prioritize crucial parameters within the injection moulding process to attain topnotch plastic goods. These process parameters exhibit interconnectedness, and attaining  the optimal equilibrium necessitates an in-depth comprehension of the plastic material,  mould design, and desired product properties. However, fewer of them concentrate on  integrating sustainability competency, which also impacts the performance of process  parameters. The objective of this study is to carry out a thorough series of experiments  and analyses to advance the comprehension of how these factors influence the final  product's quality. Subsequently, the incorporation of sustainability competency into  injection moulding revolves around providing individuals and entities with the  understanding, abilities, and perspective required to make well-informed choices that  harmonize environmental, societal, and economic factors. The overarching aim is to  promote practices that contribute to a future that is more sustainable and accountable. The regression results demonstrate an error of less than 1%, underscoring the significance  of the optimised model. Hence, the established model is capable of quantifying the  competency value that bridges mechanical properties and comprehensive competency by  integrating attitudinal factors. This integration is achieved through the use of parameter  selection via Design of Experiments (DOE) and the expert elicitation method. The  evolution from the foundational model (prior to characterisation) to the proficient model  is showcased by the introduction of operational team description and sustainability  competency descriptors. These augmentations contribute context to the role of technical  personnel within a productive and streamlined setting, crucial for nurturing innovation  through the notion of knowledge creation, a concept highly esteemed by employers and  stakeholders.</subfield>
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