Key performance indicators selection through an analytic network process model for tooling and die industry

Funding Information: Radu Godina and Pedro Espadinha-Cruz acknowledge Funda??o para a Ci?ncia e a Tecnologia (FCT-MCTES) for its financial support via the project UIDB/00667/2020 (UNIDEMI).In the last few decades, the fast technological development has caused high competitiveness among companies, encouraging a pursuit for strategies that allow them to gain competitive advantage, such as the monitoring of performance by using key performance indicators (KPIs). However, its selection process is complex since there are several KPIs available to evaluate performance and different relationships between them. To overcome this challenge, the use of a multiple criteria decision-making model (MCDM) was proposed, namely the analytic network process (ANP) through which a reduced number of them are prioritized. To identify which KPIs are suitable for the press cast and die manufacturing industry, a literature review was made, and 58 unique KPIs were identified. Thus, to validate the proposed methodology, a case study was carried out in an automotive press molding industry. With the implementation of the proposed ANP model it was possible to identify 9 KPIs that ensure the correct molding process monitoring, while being aligned with the Balanced Scorecard criteria. The results show that the proposed model is suitable for selecting KPIs for the molding industry.publishersversionpublishe

Implementing material efficiency in practice: A case study to improve the material utilisation of automotive sheet metal components

© 2019 There is an opportunity to reduce the amount of sheet metal currently used to manufacture automotive components, despite the available cost and CO2 savings, the automotive industry has not realised the full potential of these saving opportunities. To understand why, a practical case study was set up with an automotive manufacturer. A cross-functional team was established with the scope to make changes to five components using a structured design process to improve material efficiency. The trial identified realistic opportunities to improve material utilisation by 20%pts, and save £9million and 5 kilotonnes of CO2 annually. The greatest saving opportunities were found early in the product development cycle, before the production method is determined by component geometry. Of these, 3%pts were actually implemented on the production vehicle, saving £1.8million and 1.5 kilotonnes of CO2 annually. The case study identified significant barriers to implementing material efficiency strategies in an industrial setting. To overcome these barriers material utilisation should be considered early in the product design process and high in the vehicle platform hierarchy. As a result of this investigation, new business processes are being generated to support design for material utilisation at the automotive manufacturer. This case study approach should be considered to increase implementation for other aspects of material demand reduction.EP/N02351X/

Framework de business intelligence para o sector eléctrico português

Nesta última década, o tema de medição de desempenho no contexto de Business Intelligence(BI) tem ganho relevância, quer academicamente quer profissionalmente. Neste sentido, a presente dissertação tem como objectivo a concepção de uma frameworkde BI que disponibiliza um conjunto de indicadoreschave de desempenho (KPIs) para o sector da electricidade em Portugal, o qual possui características específicas e não tem sido muito estudado actualmente. Como tal, é feito um estudo de indicadores sugeridos por diversos autores que efectuaram estudos nesta área, sendo depois esses indicadores adaptados à realidade do sector português. A estrutura de fluxo de dados da frameworké também abordada para garantir que a informação disponibilizada aos utilizadores é correcta, coerente e sem redundância. Conclui-se que, com base no estudo efectuado, esta frameworkdestaca-se por oferecer um conjunto de KPIs, ao invés de sugerir metodologias de desenvolvimento. Os objectivos propostos foram atingidos e os resultados obtidos em cada etapa do trabalho são justificáveis e, portanto, coerentes e fiáveis. Este trabalho pretende oferecer um modelo base no qual as organizações se possam basear para criar um sistema de BI, contribuindo para uma entrega de valor acrescentado no sector de energia eléctrica português. Academicamente, pretende-se contribuir para o estudo deste sector, ao qual tem sido dada menos atenção, e impulsionar novos estudos nesta área.In the last decade, the topic of performance measurement in the context of Business Intelligence (BI) has gained importance, both academic and professionally. In this sense, this thesis aims to conceive a BI framework that provides a set of Key Performance Indicators (KPIs) for the electricity sector in Portugal, which has specific characteristics and has not been much studied nowadays. As such, it is made a study of indicators suggestedby several authors in studies performed in this area, which were then adapted to the reality of the Portuguese industry. The structure of the framework data flow is also addressed to ensure that the information provided to users is correct, consistent and without redundancy. It is concluded that, based on the study, this framework distinguishes itself by offering a set of KPIs, instead of suggesting development methodologies. The proposed objectives were achieved and the results obtained at each stage of the work are justified and, therefore, consistent and reliable. This work aims to provide a model upon which organizations can base themselves to create a BI system, contributing to a rapid delivery of value for the Portuguese electricity sector. Academically, it is intended tocontribute to the study of this sector, which has been given less attention, and spur further research in this area

Proposta de um modelo ANP para selecionar KPIs na indústria de manufatura de moldes de prensagem

Nos últimos anos, o desenvolvimento das tecnologias tem provocado uma elevada competitividade entre as empresas, motivando a procura de estratégias que permitam ganhar vantagem competitiva, como por exemplo a monitorização do desempenho, através do uso de Key Performance Indicators (KPIs). Contudo, o seu processo de seleção é complexo pelo facto de existirem diversos KPIs disponíveis para avaliar o desempenho e diversas relações entre os mesmos. Deste modo, a presente dissertação tem como objetivos a identificação de KPIs aplicáveis na indústria de manufatura de moldes de prensagem, e o desenvolvimento um modelo de decisão Analytic Network Process (ANP) na escolha de KPIs. De forma a cumprir com os objetivos propostos, é realizada uma revisão bibliográfica, através da qual foram identificados KPIs aplicáveis à indústria e possíveis estruturas e adaptações do modelo ANP, no processo de seleção de KPIs. Deste modo, foi possível desenvolver o modelo ANP aplicado à seleção de KPIs, através do qual serão priorizados um número reduzido dos mesmos. Com o objetivo de testar e validar a aplicação de um modelo de decisão, foi realizado um caso de estudo na empresa Volkswagen Autoeuropa. De forma a complementar a lista de KPIs previamente obtida foram realizadas entrevistas, obtendo uma lista de KPIs abrangente a todas as áreas. Procedeu-se à pré-seleção dos KPIs e posterior modelação do ANP através do software SuperDecisions, tendo-se aplicado o modelo ANP através de entrevistas diretas com o decisor, obtendo assim a ordenação por importância dos possíveis KPIs a implementar. Os KPIs foram implementados no sistema de informação BI da empresa, onde é possível visualizar o estado dos KPIs relativamente ao seu objetivo no dashboard. A implementação dos KPIs permitiu à empresa controlar as suas atividades, podendo assim implementar ações de melhoria que a levem a aumentar os seus níveis de desempenho e tornar a empresa competitiva no mercado

Making More Cars with Less Metal

Reducing sheet metal yield losses in automotive manufacturing would reduce material demand, providing environmental and financial benefits. This thesis explores material efficiency from four perspectives: 1. The opportunity for improvement: A part by part analysis of yield losses for every sheet metal component in a vehicle highlights nine material efficiency strategies. An industry study finds that on average only 56% of sheet metal purchased is used on the vehicle. Improving material utilisation to best practice of 70% would save £8 billion and 25 million tonnes of CO2 annually. 2. The potential to realise this opportunity: A design process to improve material efficiency is trialled within an automotive manufacturer and identifies opportunities of 20%. However, only 3% improvement is realised since the material efficiency opportunity is locked in at the start of the design process, where resource is not currently allocated. Earlier consideration of material utilisation is required. 3. Material efficiency within the circular economy: All existing metrics for recycling in sheet metal forming processes are mapped onto a diagram. A case study demonstrates that existing recycling metrics, do not promote the reduction of yield losses. Considering recycling process efficiencies rather than recycled content would enable recycling rates to be measured without penalising material efficiency. 4. Design for material efficiency: There are currently no suitable tools to inform process selection and geometry decisions for material efficiency. To address this, a novel set of experiments is conducted. These experiments identify a trend between the maximum draw depth and three critical radii. This trend could form a geometry based formability guideline which would enable design for material efficiency. Approaching material utilisation from these perspectives gives greater certainty of the saving opportunity for sheet metal material efficiency and clarifies the priority of material efficiency compared to other strategies to meet global climate change goals.Sponsored by Jaguar Land Rove