In the last years the aec (architecture, engineering and construction) industry has been influenced by the development of building information modelling (bim). With the creation of complex systems, the need for efficient in­teroperability arises. Based on a study of bim interoperability dimensions and its levels, this research presents an inter­operability assessment of bim system in the structural domain, especially considering cast-in-place concrete structures, since they present some special challenges for system interoperability. This assessment was conducted by experiments that imported and exported structural models and structural elements through a non-proprietarz standard for bim mod­els (ifc- industry foundation classes). The experiments were conducted twice, with a five year gap from each other, so the evolution of the interoperability could be assessed as well. The results showed that some special characteristics must be considered in order to achieve efficient interoperability for cast-in-place concrete structures – these structures are monolithic and they have reinforcement steel bars that need detailing. Also, the research showed that in the five-year gap there were evolutions in interoperability, like in object identifiers, which had a considerable improvement. However, some of the major problems remain, such as overlapping of structural parts.

With the arrival of the Fourth Industrial Revolution, also known as Industry 4.0, there is a need to deploy digital projects that have a dependency relationship with legacy systems in acquiring and managing information making it more accessible to the user. In addition, this integration needs to be synchronized with other countries so as not to lead to uneven maturity among organizations, leading to difficulties in adopting I4.0 in different plants around the world. The objective of this article is to introduce an evaluation methodology between legacy and local systems, using multi-criteria decision-making analysis (MCDM/A) methods, in order to verify if both attend the specifications of the organization’s digital transformation projects. To evaluate the proposed model was used in the case of an automotive company located in Brazil for more than 20 years that has one of its sites in South America (Colombia) with local systems that are bringing numerous difficulties of implementation of projects geared to I4.0. Based on this examination, it was noticed that some local systems would be able to attend the scope of the projects since it would allow a flexibilization to customize certain points of integration.

Process flexibility plays a key role in high variability environments, such as healthcare. In this type of environment, the process model needs to change some elements to adjust to specific sets of requirements. Thus, this paper proposes a process model customising method based on ontology and process mining. The method proposed is applied in customising process models for acute ischemic stroke treatment. During process model customisation, the method provides decision-making support for users, thereby ensuring a structurally correct process customisation and enabling improves patient treatment by means of recommendations.

Global competitiveness challenges manufacturing industry to rationalise different ways of bringing to the market new products in a short lead-time with competitive prices whilst ensuring higher quality levels and customisation. Industries need to effectively share heterogeneous information during Product Development Process (PDP) within and across their institutional boundaries to be competitive. However, problems with misinterpretation and mistakes have been identified during information exchange due to the semantic interoperability obstacles. Thus, this research proposes a systematic literature review to identify the main researches and the milestones reference works on semantic interoperability field. A rigorous methodology was conducted in different databases, covering the articles published in scientific journals from 2005 to 2015 as a preliminary study had indicated that the incidence of articles related to the subject was more frequent from the second half of the 2000s. The research structure consisted of four steps: Survey – searching, analysis and selection of recent researches; Categorisation – categorisation of the selected papers; References citation frequency analysis – the selected papers were analysed and the main researches and milestones references were identified; and Main researches critical analysis – the main researches were analysed for their contributions and limitations, their contributions and limitations, resulting in 14 selected scientific articles and 8 identified milestones references. It is evident that this field has interesting perspectives on future research opportunities on semantic interoperability of information issues across PDP, contributing to the new concepts of future factories.

Purpose: The purpose of this paper is to establish a Process-aware FMEA (PAFMEA) development environment in order to face the main Failure Mode Effect Analysis (FMEA) deficiencies concerning failure analysis in maintenance. Design/methodology/approach: The proposed framework integrates Delphi methodology to obtain consensus of specialists’ opinions, analytic hierarchy process (AHP) to perform multiple criteria-based risk assessment and a business process management system to instantiate the development cycle. A conceptual model is presented and analyzed through a case study. Findings: PAFMEA reveals a new perception in the evaluation and prioritization of failure modes during maintenance failure analysis, such as risk definition and resource availability, dealing with conflicting characteristics in decision-making approaches. Practical implications: The PAFMEA environment includes requirements that are grouped with a process instantiation of an AHP structure, providing a high degree of applicability and performance to the development cycles of the FMEA. The new method confronts the classical risk assessment approach and contributes to the literature, adding new perspectives to the FMEA analysis. Originality/value: PAFMEA brings new and promising perspectives to the FMEA development cycle, which, in short, means adding on a multi-criteria failure analysis method (AHP) through a process-aware platform, with performance impacts in FMEA knowledge sharing, decision making and delivery.