PurposeThe purpose of this paper is to address the difficulties faced by manufacturing enterprises by providing a project portfolio management approach supporting the selection and prioritization of various Industry 4.0 projects where business process analysis is used to ensure the strategic alignment and value of the project portfolio.Design/methodology/approachThe design research methodology, a mixed applied research methodology, was used to develop and test the proposed approach.FindingsDespite the growing interest of the scientific and industrial communities in I4.0, it seems that there is no method by which manufacturing companies can select a large number of improvement projects. Moreover, studies tend to focus on the evaluation and implementation of a single technology, while the transformation of an intelligent plant requires the consolidation and coordination of many initiatives to achieve a global objective.Originality/valueThe proposed project portfolio management model offers support to enterprises during their digital transformation and improves their processes by integrating technology levers through consistent and achievable selection of I4.0 initiatives while meeting strategic goals and objectives.
This paper outlines and discusses the possible causes of the slow adoption of technology for mass customization in the apparel and fashion industry. The study first identifies (based on a number of interviews with apparel producers) the performance indicators and the integration of technologies necessary for the implementation of a system of mass customization in the garment industry. The interviews with these producers reveal certain factors and characteristics that can explain this slow adoption. Our research looks into the factors and industry characteristics in large part explaining the apparel industry's difficulties and lateness in implementing one of the most important recent innovations: the mass customization of garment products. We argue that one of the major difficulties arises from the lack of integration between the technologies presently used by the industry and those offered by the providers of new systems. The products offered do not meet the apparel manufacturers' and distributors' needs and expectations. Our interviews with different stakeholders point to: (1) a lack of technological fluency on the part of both managers and labour, (2) a strong resistance to change in a very traditional industry that still relies on outdated work habits, (3) a lack of proactivity and implementation of strategic or technical watches, (4) minimal investment due in part to the difficulties of borrowing money, and (5) the bad press often given to technology and mass customization implementations by certain important industry actors. Past research has demonstrated the importance of understanding the mass customization of garment within the context of trade globalization and the industry 4.0, which has led to ever more fierce competition in the global fashion and apparel market. But, why is the manufacturing industry so late in understanding this? According to your results, the principal cause is the lack of integration between technologies currently in place and those offered by suppliers which do not adequately respond to the needs of manufacturers and distributers.
Digital 3D technologies are very powerful tools in many fields of application. Apparel industry has been adopting these technologies in order to optimize its design and fabrication processes. Recently, these digital approaches have been applied to try-on stages by using body scanners and are now foreseen for fitting of tailor-made garments. Virtual try-on consists of performing the registration of two 3D models: a human model and a garment model to try-on. Different methods of registration can be used, which have been well described in literature. The precision of the registration depends on the selected method. In the case where the old-fashion tailor-made work is involved, usually the tailor performs manual measurements using a measuring tape directly on the customer. Then a set of measurements is created and the tailor-made garment can be fabricated. This research explores the use of 3D technologies for performing virtual measurements and try-on. A friendly user 3D manipulation software tool has been developed, which performs virtual measurement using scanned data of the actual body. The set of measurements can be sent to a customer database which includes scanned data and mensuration. A second software tool will be used to perform the try-on for fitting a virtual garment. Different adjustments on the garment are possible by using control points of deformation on the meshed model. The try-on involves the creation of a virtual mannequin based on the customer mensuration.
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