In May 1989, the United Nations Environment Program (UNEP) Governing Council asked UNEP to promote the establishment of a network to “allow the transfer of an environmental protection strategy”. This was prompted by a growing realization that the cost of dealing with pollution resulting from human activities, particularly in industry and agriculture, after it has been generated (the so-called end-of-pipe approach) has been increasing dramatically over the years since the Stockholm Conference of 1972. A new approach now emphasized that, rather than wait until pollution is generated, it would be more sensible to attempt to prevent it in the first place. As thinking moved along these lines, the investigation extended to consider other issues not looked into so far. These covered product design, the materials used to produce it, the production processes, and even the very social environment that created demand for such a product or service. It also became clear that we must continue along this path, always doing better than before, up to the theoretical ideal of zero pollution. The strategy of cleaner production (note the ‘er’ in cleaner, and the use of production rather than technology or product) formulated by UNEP to articulate this new approach was launched in a conference in Canterbury in 1990. The strategy is now adopted worldwide and applied in different ways, having shown a remarkable ability to interface and/or assimilate many of the ideas that developed over the last decade or so in environmental management.

「Cleaner Production国際会議」に参加して

/pdf/sustainable-social-supply-chain-practices-and-firm-social-2gqxmbqk.pdf

Sustainable social supply chain practices and firm social performance: Framework and empirical evidence

Although Industry 4.0 has received much attention in recent years due to the possibility of increasing companies’ productivity, the implementation process is complex. The aim of this study is to present a holistic model for implementing Industry 4.0 based on cleaner production as a fundamental tool for the development of production systems that meet the Sustainable Development 04026-002Goals (SDGs), and social stakeholders that cooperate with this implementation process, helping to develop sustainable infrastructure, processes and technologies to increase the sustainable transformation of these companies towards Industry 4.0. The method used was literature research, and the Delphi technique was used to ask specialists to contribute with their experience to evaluate and propose improvements to the model, in the form of a consensus. The model contributes to the Sustainable Development Goals 9, 12 and 15. This holistic and sustainable model is a contribution to theory and practice, helping executives, technicians, entrepreneurs and those involved with Industry 4.0 to base the implementation process in the needs and specificities of each company, avoiding the “one fits all” models, considering the peculiarities of each company and the complexity of the implementation process in a more efficient and collaborative digital production ecosystems base, seeking to reduce inequalities, through the joint effort of social stakeholders to find ways to restore and/or improve social harmony, impacted by Industry 4.0.

Implementing Industry 4.0 through Cleaner Production and Social Stakeholders: Holistic and Sustainable Model

Embracement of industry 4.0 and sustainable supply chain practices under the shadow of practice-based view theory: Ensuring environmental sustainability in corporate sector

The Internet of Things is a comprehensive system of connected computing devices and sensors that provide extensive data sharing capability for any specific purpose. For the construction industry, the applications of the Internet of Things have been increasing over the past few years, and it is because technology can provide full support to construction projects in attaining significant efficiency. The most critical part of construction products where the internet of things can be adopted is safety management because hundreds of accidents happen every year that result in significant injuries to construction workers and even death in some cases. For small construction projects, the situation is much worse, as there are never enough resources to adopt the latest technology, such as the Internet of Things. This study is structured with the aim of identifying the critical implementation barriers of the internet of things that affect small construction projects in Malaysia specifically. A mixed methodology study design is followed in which, after identifying the implementation barriers of the internet of things from existing literature, they are filtered with expert opinion. A pilot survey was conducted on which exploratory factor analysis was applied to further identify the significant barriers relating to the Internet of Things in small construction projects in Malaysia. A main survey was conducted afterwards, on which the structural equation modelling was done to develop the model involving the final 16 barriers divided into 5 formative constructs. The most critical barriers are found to be related to databases and technology, while the least impact is created by management barriers. Positive theoretical and managerial implications are indicated for future researchers and construction workers, respectively, by which they can improve the implementation of internet of things in small construction projects in Malaysia.

/pdf/assessment-of-challenges-to-the-adoption-of-iot-for-the-38j0xk5t.pdf

Assessment of Challenges to the Adoption of IOT for the Safety Management of Small Construction Projects in Malaysia: Structural Equation Modeling Approach

Industry 4.0 implementation: The relevance of sustainability and the potential social impact in a developing country

Industry 4.0, the new production paradigm, has been arousing the interest of researchers around the world, due to its potential for improvements for companies, however little has been studied of its potential in the construction industry. This paper aims to identify which enabling technologies of Industry 4.0 can be applied to improve job security in civil construction. The methodology adopted was literature review, followed by field study / research with interviews with specialists, to identify the possibility of improving work safety in civil construction, through the technologies of Industry 4.0. The results of this research showed that the main technologies listed were: (1st) 3D printing and drone, (2nd) Augmented Reality and Wearable sensors, (3rd) safety vest, (4th) Virtual Reality, (5th) Bionic exoskeleton, (6th) Building Information Modeling (BIM), Radio Frequency Identification (RFID), helmet with sensors and smart helmets, (7th) Internet of Things (IoT) and finally, (8th) concrete mixer truck. The theoretical and practical contribution of this work is given by the presentation of technologies from Industry 4.0 that can maximize work safety in the construction industry, mitigating accidents at work, thus collaborating for the management of technology and innovation.

/pdf/construction-4-0-industry-4-0-enabling-technologies-applied-4rdrhbvaib.pdf

Construction 4.0: Industry 4.0 enabling technologies applied to improve workplace safety in construction

PurposeThis study aims to broaden the understanding of the additive manufacturing (AM) body of knowledge, presenting a model better suited to the current level of technological development that supports the decision to implement AM in industries, based on the experience of companies in the industry of orthopedic medical implants.Design/methodology/approachBased on the design-science research, the model for the decision to adopt the AM was designed and submitted to experts from the industry of orthopedic implants in Brazil for refinement. For the empirical test of the final model, interviews were used in a company that was considering implementing AM and in another that was not, to evaluate the model.FindingsThe model considers seven dimensions for decision analysis of AM implementation: legal constraints, financial, technological, operational, organizational, supply chain and external factors, being subdivided into 42 criteria that play a relevant role in the implementation decision. The analysis factor of each dimension and criteria are also presented.Originality/valueThe model seeks to be as complete as possible and can be used by various industrial productive sectors, incorporating the analysis of the requirements of health regulatory agencies, suitable for the analysis of the decision to implement AM for the manufacturing of medical implants, not found in other models.

Marco Aurelio Fragomeni

Papers

Industry 4.0 implementation: The relevance of sustainability and the potential social impact in a developing country

Implementing Industry 4.0 through Cleaner Production and Social Stakeholders: Holistic and Sustainable Model

Construction 4.0: Industry 4.0 enabling technologies applied to improve workplace safety in construction

The “V” model for decision analysis of additive manufacturing implementation