An overview of Industry 4.0 Applications for Advanced Maintenance Services

Manufacturing today has experienced dynamic changes imposed by social-technical systems that address economic, social and sustainable requirements. Furthermore, the technologies in Industry 4.0 have also brought many smart applications to advance manufacturing to the next level of development. In a focused sense, maintenance plays a key role in manufacturing to create value propositions—extension of equipment useful life and enhancement in overall equipment effectiveness—for stakeholders towards economics and sustainability. In this context, the maintenance services that create the value propositions are not only delivered as after-sales maintenance services but developed to advanced maintenance services embedded into Industry 4.0 applications. To provide a clearer picture of the development, this work aims to review and categorize the maintenance services in three groups—basic services, intermediate services, advanced services—associated with technologies in Industry 4.0 across the life-cycle maintenance service

Human‑centred design in industry 4.0: case study review and opportunities for future research

The transition to industry 4.0 has impacted factories, but it also afects the entire value chain. In this sense, human-centred factors play a core role in transitioning to sustainable manufacturing processes and consumption. The awareness of human roles in Industry 4.0 is increasing, as evidenced by active work in developing methods, exploring infuencing factors, and proving the efectiveness of design oriented to humans. However, numerous studies have been brought into existence but then disconnected from other studies. As a consequence, these studies in industry and research alike are not regularly adopted, and the network of studies is seemingly broad and expands without forming a coherent structure. This study is a unique attempt to bridge the gap through the literature characteristics and lessons learnt derived from a collection of case studies regarding human-centred design (HCD) in the context of Industry 4.0. This objective is achieved by a well-rounded systematic literature review whose special unit of analysis is given to the case studies, delivering contributions in three ways: (1) providing an insight into how the literature has evolved through the cross-disciplinary lens; (2) identifying what research themes associated with design methods are emerging in the feld; (3) and setting the research agenda in the context of HCD in Industry 4.0, taking into account the lessons learnt, as uncovered by the in-depth review of case studies

Human-Centred Design in the context of Servitization in Industry 4.0: A Collaborative Approach

The competitiveness of the business today will depend on empowering hu-man intelligence and creativity, capturing and capitalizing on available infor-mation and knowledge for the total product and service lifecycle. To realize this beyond technical aspects, the collaborative work of multidisciplinary and inter-sectoral teams is constituted to develop an appropriate methodology of human-centred design (HCD) with advanced service innovation in indus-try 4.0. Based on the state-of-the-art analysis and industrial requirements, the methodology is tested with European industrial cases in various sectors to validate its implementation and benefits. This paper aims to provide the well-rounded collaborative framework to deliver the new HCD methodology

A Model for Measuring and Managing the Impact of Design on the Organization: Insights from Four Companies

Increasing numbers of companies are looking to embed design as a strategic capability to meet today’s business and social challenges. However, integrating design in an organization is a challenge, due to the scarcity of knowledge on managing this process and measuring its impact. This study presents a model for measuring and managing the impact of design on the organization (DIMM). The model builds on four levels of design impact identified in the literature: results, perception, processes, and design culture. The model was tested with four service companies that have recently developed design capabilities. To this end, those responsible for the integration of design were interviewed, using the model itself as an interview guide to confirm its usefulness and identify possible improvements. The results showed that the model was useful to assess the impact of design on companies with emerging design capabilities, but also as a reflection and management tool to align design with strategic objectives and promote its integration into the organization. Finally, future research should test the model longitudinally, as well as in a broader scope of organizations, to validate its usefulness for organizations with greater design maturity

Diagnóstico y nuevos retos del diseño industrial. El caso del área industrial de la Corporación Mondragón

La integración del diseño en los procesos de innovación conlleva una mejora de la competitividad. No obstante, investigaciones a nivel estatal indican que en la industria predomina todavía una visión estético-funcional del diseño. Este estudio, dirigido a los responsables de Innovación y Desarrollo del Área Industria de la Corporación MONDRAGON permite: (i) conocer el grado de madurez de la aplicación del diseño en las empresas industriales de la Corporación MONDRAGON, (ii) analizar el estado actual en dos ámbitos específicos del diseño que son de interés para dicho grupo: el Diseño Centrado en los Usuarios y el Diseño de Servicios, e (iii) identificar intereses futuros en el ámbito del diseño para este grupo. Los resultados sugieren que el diseño está parcialmente integrado en los procesos de desarrollo de los productos, principalmente relacionado con la mejora de los aspectos técnico-funcionales. A su vez, se identifica que las técnicas del Diseño Centrado en los Usuarios se aplican de manera no sistemática, solo una minoría de las empresas tiene procesos estructurados para ello. Además, el estudio indica que aunque la servitización es ya evidente en este grupo industrial, solo una minoría de las empresas reconoce tener un método para el diseño de nuevos servicios. Las empresas indican que la identificación de las necesidades del usuario y el diseño conjunto de producto y servicio, serán claves en un futuro. Para ello, es necesario que el Diseño Centrado en los Usuarios y el Diseño de Servicios sean parte integral de los procesos de innovación. Así, los autores subrayan la necesidad de activar procesos de aprendizaje en las empresas, fomentando nuevas dinámicas de colaboración entre la industria y la universidad

Human-centered design for advanced services: A multidimensional design methodology

Advanced services have caught the attention of industries and academics as a way to exploit new customer value propositions. However, the existing design methodologies for advanced services are limited to partially addressing one or some key design elements, hence causing confusion in practice. Moreover, human factors are not often addressed, even though the design for advanced services requires human-centered thinking. Aiming to advance the body of research, the current study aims to conceptually propose a multidimensional design methodology called DIMAND that captures the key design elements and their relations in a single-view structure in accordance with a human-centric approach. Specifically, DIMAND encapsulates the (i) life-cycle service design interrelated with other key design elements—(ii) stakeholder networks, (iii) new service development methods, and (iv) design skills—that must be considered to develop effective advanced service design. Based on a hybrid research design, DIMAND was conceptually developed through systematic reviews and structured analysis of existing design methodologies, as well as an elicitation of expert knowledge in the domain through the analytical hierarchy process (AHP). For validation, the average usability score of DIMAND as evaluated by 26 practitioners was 72.2, which falls into “excellence” on the simplified system usability scale (SUS), hence confirming its potential utility. As a result, DIMAND offers a novel and holistic guideline for design practitioners and engineers to obtain coherence in all the life-cycle design processes by simultaneously taking these key design elements and their relations into account, making the design of advanced services more practical

A Framework For Product Design Based On Semantic Attribution Process

Existing brands already have certain products that generate a particular experience in customer minds. Every time a customer’s interacts with of brand’s products and related touchpoints, the customer form an idea about the brand. This is how a brand experience is 9constructed in the mind of the customer. Understanding how customers perceive and respond to certain products along the experience, helps designers to better align product design with brand value, in order to guarantee a consistent brand experience. While current literature provide in deep research into customer–brand and customer-product interaction, there is a distinct lack of any substantive assessment of how customer´s interaction with branded product impact on the brand experience. To do so, this paper presents a operational hypothesis to comprehend customer responses to certain branded product. The framework combines general brand experience assessment scales and product cantered experience approaches

Datasets of skills-rating questionnaires for advanced service design through expert knowledge elicitation

This article presents a dataset of service design skills which service design experts value as important requirements for design team members. Purposive sampling and a chain referral approach were used to recruit appropriate experts to conduct questionnaire-based research. Using the analytical hierarchy process (AHP), pairwise skills-rating questionnaires were designed to elicit the experts’ responses. The resulting dataset was processed using AHP algorithms programmed in R programming language. The transparent data and available codes of the research may be reused by design practitioners and researchers for replication and further analysis. This paper offers a reproduceable research process and associated dataset for conducting multiple-criteria decision analysis with expert purposive sampling