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Verification, validation and testing (VVT) for new products and technlogy

The development of new digital technology needs extensive verification, validation and testing (VVT). Implementing an effective way of analysing the requirements of different stakeholders, i.e., the customer’s voice, regulations and business’s voice and how these requirements must be considered often poses a significant challenge.

This project has developed a systematic method of analysing critical requirements and influences on VVT activity for new technology development and manufacturing. This offers support for the adoption of digital technologies and facilitates collaboration between SMEs and larger companies. The free to use online tool gives you the ability to visually analyse the transition of requirements from risk analysis to prioritisation and the impact of these choices.

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CarbonVue

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CarbonVue is an innovative digital tool that enables businesses to increase efficiency whilst reducing costs and CO2 emissions from their supply chains. Using CarbonVue, companies can highlight key points in the configuration of their supply chains to target with improvements to help produce a greener tomorrow.

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From supply chains towards manufacturing ecosystems: A system dynamics model

Overview

Rapid market changes call for demand-driven collaborations in manufacturing, which trigger supply chain evolution to more distributed supply structures.

This paper explores the system dynamics of the largest European aerospace manufacturer’s supply chain. The authors conceptualise a manufacturing ecosystem by observing the impacts of supplier development, digital platforms, smart contracting, and Industry 4.0 on demand-driven collaborations in time.

The research team offers further contributions to the literature on ecosystem strategy, particularly for regulated industries, by disclosing the role of demand-driven collaborations in supporting the ecosystems’ growth. This paper also provides manufacturing firms with an open-access tool to exemplify their ecosystem development and produce initial training datasets for AI/ML algorithms, supporting further analytics.

This research was conducted by Dr. Nikolai Kazantsev (IfM, University of Cambridge), Oleksii Petrovskyi (National University of Kyiv-Mohyla Academy), Professor Julian M. Müller (Seeburg Castle University, Austria and Erfurt University of Applied Sciences, Germany). This work was supported by the UKRI Made Smarter Innovation Challenge and the Economic and Social Research Council via InterAct [Grant Reference ES/W007231/1].

For further discussions or potential applications/collaborations, please contact Nikolai Kazantsev.

https://doi.org/10.1016/j.techfore.2023.122917

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Business model innovation and digital servitization in UK manufacturing small and medium sized enterprises

This project explores the application of digital servitization business models in the context of UK Manufacturing Small to Medium Sized Enterprises (SMEs), by empirically depicting its antecedents and firm-level implications. Following the completion of a large empirical study, the key contextual and organisational factors that determine successful implementation of business models have been identified. The study’s key findings suggest that SMEs can achieve high performance through adoption of digital servitization business models, depending on how well each model aligns with the organisation’s context and design.  

To assist the UK Manufacturing community, in addition to the main report, the project’s deliverables are accessible to stakeholders through its dedicated microsite, SME toolkit, video training manual and practitioner webinar.

Download “Report - Business model innovation and digital servitization in UK manufacturing small and medium sized enterprises”

Business-Model-Innovation-and-Digital-Servitization.pdf – Downloaded 3942 times – 1.46 MB

Project microsite 

The microsite provides SMEs with a valuable resource that practitioners can engage with, to better understand digital servitization and its corresponding business models. Developed in an illustrative manner, the microsite provides a visual overview of the study’s data and key findings and constitutes the project’s primary means of impact on business practice. 

SME toolkit 

A key project output, the self-assessment toolkit aspires to assist SME principal decision-makers in diagnosing the contextual and organisational conditions of their business and determine the suitability of digital servitization business models. Toolkit users are invited to complete an anonymised questionnaire and in turn, they receive a recommendation of which business model might represent the best match to their current conditions. 

Video training manual 

The video training manual represents a step-by-step guide to the toolkit and provides users with the key terms of interest and the process of answering the toolkit questions.  

Online webinar 

As a primary dissemination activity, the project’s first ex-post webinar has been delivered in early August 2023 to raise awareness about the project, communicate the study’s findings and promote the publication of the main report and its accompanying intellectual outputs. 

This research was conducted by Dr. Dimitrios Dousios and Dr. Antonios Karatzas (University of East Anglia). This work was supported by the UKRI Made Smarter Innovation Challenge and the Economic and Social Research Council via InterAct [Grant Reference ES/W007231/1].

For further discussions or potential applications/collaborations, please contact Antonios Karatzas.