Pub Date : 2022-01-31DOI: 10.5772/intechopen.102015
Enna Hirata, Daisuke Watanabe, M. Lambrou
Shipping, like most industries, is undergoing a digital transformation process which influences existing business models and operational practices, in a multifaceted way. Today, the shipping business context has been changing to incorporate further social demands, environmental, innovation and sustainability priorities, into fundamental shipping strategies, while taking advantage of technological advancements. In the era of Industry 4.0, which constitutes a recent evolution of advanced communications and information technologies and further promotes sustainable, human-centric, and resilient business development strategies, shipping and port entities need to embrace a broader perspective and a deeper understanding of various elemental technologies, namely: Artificial Intelligence, Blockchain, Cloud Computing, Big Data, and Physical Internet, in addition to core maritime logistics matters. This chapter proposes a descriptive framework of shipping digitalization and port automation, while providing a review of related technologies and business approaches, also international initiatives, for automation in global ports. Hence the chapter offers insights for business practitioners to steer through the current challenging global environment, also for policy makers to gain a more informed understanding of maritime logistics developments, towards necessary coordination and oversight mechanisms implementation.
{"title":"Shipping Digitalization and Automation for the Smart Port","authors":"Enna Hirata, Daisuke Watanabe, M. Lambrou","doi":"10.5772/intechopen.102015","DOIUrl":"https://doi.org/10.5772/intechopen.102015","url":null,"abstract":"Shipping, like most industries, is undergoing a digital transformation process which influences existing business models and operational practices, in a multifaceted way. Today, the shipping business context has been changing to incorporate further social demands, environmental, innovation and sustainability priorities, into fundamental shipping strategies, while taking advantage of technological advancements. In the era of Industry 4.0, which constitutes a recent evolution of advanced communications and information technologies and further promotes sustainable, human-centric, and resilient business development strategies, shipping and port entities need to embrace a broader perspective and a deeper understanding of various elemental technologies, namely: Artificial Intelligence, Blockchain, Cloud Computing, Big Data, and Physical Internet, in addition to core maritime logistics matters. This chapter proposes a descriptive framework of shipping digitalization and port automation, while providing a review of related technologies and business approaches, also international initiatives, for automation in global ports. Hence the chapter offers insights for business practitioners to steer through the current challenging global environment, also for policy makers to gain a more informed understanding of maritime logistics developments, towards necessary coordination and oversight mechanisms implementation.","PeriodicalId":430347,"journal":{"name":"Supply Chain - Recent Advances and New Perspectives in the Industry 4.0 Era [Working Title]","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115785976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-22DOI: 10.5772/intechopen.102040
Thuso Mphela, Christopher J. Savage, A. Gutierrez
Sustainability has become a global policy agenda following the United Nations adoption of Sustainable Development Goals 2030. Supply chains can contribute to this by adoption of eco-friendly technologies, sustainable materials, reducing waste, among others. Adopting and scaling innovative technologies such as machine learning, blockchain, internet of things (IoT), and 3D printing has potential to improve efficiency through improved visibility, flexibility and decision making across the supply chain. Efficiency and lean operations may induce vulnerability in supply chains, due to disruptions like the Covid-19 pandemic which can compromise business. The concept of sustainability is explored from both the business and customer perspectives, as well as in the broader policy environment that includes politics, the economy and society. Businesses are likely to adopt sustainable practices if there are financial incentives. However, environmental sustainability cannot be pursued at the expense of business survival. Therefore, the adoption of different technologies has potential to bring us closer to solving the sustainability-profitability paradox.
{"title":"Enabling Sustainable Supply Chains in the Industrial 4.0 Era","authors":"Thuso Mphela, Christopher J. Savage, A. Gutierrez","doi":"10.5772/intechopen.102040","DOIUrl":"https://doi.org/10.5772/intechopen.102040","url":null,"abstract":"Sustainability has become a global policy agenda following the United Nations adoption of Sustainable Development Goals 2030. Supply chains can contribute to this by adoption of eco-friendly technologies, sustainable materials, reducing waste, among others. Adopting and scaling innovative technologies such as machine learning, blockchain, internet of things (IoT), and 3D printing has potential to improve efficiency through improved visibility, flexibility and decision making across the supply chain. Efficiency and lean operations may induce vulnerability in supply chains, due to disruptions like the Covid-19 pandemic which can compromise business. The concept of sustainability is explored from both the business and customer perspectives, as well as in the broader policy environment that includes politics, the economy and society. Businesses are likely to adopt sustainable practices if there are financial incentives. However, environmental sustainability cannot be pursued at the expense of business survival. Therefore, the adoption of different technologies has potential to bring us closer to solving the sustainability-profitability paradox.","PeriodicalId":430347,"journal":{"name":"Supply Chain - Recent Advances and New Perspectives in the Industry 4.0 Era [Working Title]","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123708720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-21DOI: 10.5772/intechopen.102036
Paul-Eric Dossou, Valentin Verdier, Alan Ogor
The growth of enterprises is a constant source of research and development of new technologies. Indeed, to stand out from the competition and optimize their production, companies are moving toward the centralization of information and the implementation of machines. This dynamic requires a significant investment in terms of organization and research. Industry 4.0 is therefore at the heart of this reflection, as shown in the literature. It brings together many technologies, such as Artificial Intelligence (AI), the Internet of Things (IoT), and Big Data. This chapter focuses on company performance optimization through a sustainable Industry 4.0 framework involving methodologies such as lean manufacturing and DMAIC, new technologies as robotics, in addition to social, societal, and environmental transformations. This chapter will present robotic displacement solutions adapted to the industrial environment for improving production systems performance. Solutions for human-machine interaction problems such as human-machine interface or flexibility 4.0 will be shown.
{"title":"Production Systems Performance Optimization through Human/Machine Collaboration","authors":"Paul-Eric Dossou, Valentin Verdier, Alan Ogor","doi":"10.5772/intechopen.102036","DOIUrl":"https://doi.org/10.5772/intechopen.102036","url":null,"abstract":"The growth of enterprises is a constant source of research and development of new technologies. Indeed, to stand out from the competition and optimize their production, companies are moving toward the centralization of information and the implementation of machines. This dynamic requires a significant investment in terms of organization and research. Industry 4.0 is therefore at the heart of this reflection, as shown in the literature. It brings together many technologies, such as Artificial Intelligence (AI), the Internet of Things (IoT), and Big Data. This chapter focuses on company performance optimization through a sustainable Industry 4.0 framework involving methodologies such as lean manufacturing and DMAIC, new technologies as robotics, in addition to social, societal, and environmental transformations. This chapter will present robotic displacement solutions adapted to the industrial environment for improving production systems performance. Solutions for human-machine interaction problems such as human-machine interface or flexibility 4.0 will be shown.","PeriodicalId":430347,"journal":{"name":"Supply Chain - Recent Advances and New Perspectives in the Industry 4.0 Era [Working Title]","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125498438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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