The fourth industrial revolution, called Industry 4.0, is transforming decision-making through the increasing use of information and digitization technologies. While Industry 4.0 is expanding rapidly in manufacturing industries, its induced transformations are gradually affecting other sectors, including the construction industry. In recent years, the use of 4.0 technologies in the construction industry, termed as ‘Construction 4.0’, has increased, mostly due to the immense potential of Industry 4.0 for improving the performance of construction projects and structuring their underlying management processes. This paper proposes a classification of existing literature on applications of Construction 4.0 technologies to allow for a better analysis of trends and gaps in the research. A total of nearly 200 research papers between 2009 and 2020 were reviewed and analyzed. Overall, the analysis shows that research on Construction 4.0 is closely aligned with the construction phase. Also, the most researched topics seem to be related to the management processes of quality, risk, and health and safety.

The paper presents a proposal to ensure Closed-Loop Manufacturing from CNC machines to CAM systems. The main goal is to manage knowledge from the CNC machine and to reuse it in the CAM system. This proposal aims to help CAM programmers for programming new machining sequences by choosing the best CNC machines parameters. The main contribution of this paper focuses on how to provide guidelines extracted from past CNC programs to the CAM programme for future cases. Although STEP-NC standard enhances bidirectional exchanges in the digital chain, from CAD systems to CNC machines, it does not allow the management of manufacturing knowledge. To achieve the information feedback from CNC machine to CAM system, Closed-Loop Manufacturing approach sets up a manufacturing loop using PLM systems supported by OntoSTEP-NC – an ontology based on STEP-NC. Centred on the Manufacturing Process Management platform Closed-Loop Manufacturing is a three-step process: (1) capitalisation of cutting parameters, the manufacturing features and the material to fill the Manufacturing Process Management database, (2) validation of last machining sequences and (3) manufacturing feature recognition to have the most relevant information integration from the Manufacturing Process Management in the CAM programming stage.

This article exposes a solution to ensure Closed-Loop Manufacturing from CNC machines to CAM systems. The main goal is to capitalize knowledge from the CNC machine and to reuse it in the CAM system. This proposal aims to help CAM programmers in making choices for planning new machining sequences.The STEP-NC standard allows bi-directional exchanges in the digital chain – from CAD systems to CNC machines. Unfortunately, STEP-NC standard does not allow having a traceability of machining program. To achieve the information feedback from CNC machine to CAM system, Closed-Loop Manufacturing sets up a manufacturing loop using PLM systems. This solution is based on OntoSTEP-NC, an ontology based on STEP-NC which provides trades between Product Data Management, Manufacturing Process Management and Enterprise Resource Planning. As a solution OntoSTEP-NC supports data extraction from CNC machines, and relevant information reinjection to CAM systems. Closed-Loop Manufacturing is a three steps process: (1) Manufacturing feature recognition to have the most relevant information reinjection from the Manufacturing Process Management database in the CAM programming stage, (2) validation of machining sequences before capitalizing them, (3) capitalization of cutting parameters, the manufacturing feature and the material to fill the Manufacturing Process Management database. This process will help CAM programmers making choices for cutting conditions based on company good practices.A case study has been chosen to test Closed-Loop Manufacturing concepts. The case study is divided into three scenarios aiming at testing first the “reuse phase” including manufacturing feature recognition for the reinjection of relevant information. The third scenario tests the “capitalization phase” and the ability of the system to detect the changes made by the operator directly on the CNC machine. This paper also details the trades between the CAM systems and OntoSTEP-NC by focusing on extracted data and the way the information is capitalized into the Manufacturing Process Management database. It also details the queries addressed to the Manufacturing Process Management database to send the most relevant information

In response to the dynamic and ever-changing landscape of supply chains, which are continually challenged by internal and external factors, there is a critical need for continuous adaptation, learning, and improvement. Historically, scholars have argued that traditional information systems lack the capacity to effectively support resilience strategies within supply chains. However, advancements in Industry 4.0 technologies may have shifted this paradigm. This paper explores how enabling technologies can support the development of resilient operations at the supply chain level. To that end, a systematic literature review is combined with a multiple case study to understand how these technologies can support the development of elements of resilience. Three distinct sectors from different geographical locations were chosen for this study: an agri-food company in Brazil, a manufacturing firm in the food industry in Canada, and a logistics service provider in Italy. Integrating both theoretical insights and empirical findings leads to the formulation of a research framework, the primary contribution of this study, which serves as a resource for scholars and practitioners aiming to leverage enabling technologies to increase supply chain resilience. The paper concludes with key findings and suggests avenues for future research