Abstract
The demand for sustainable logistic and supply chain processes poses enormous challenges in terms of technology integration, the development of new business models, cultural change and job qualification, and as such requires a real paradigm shift. In this paper, we start with a brief sketch of how modern logistics and supply chains emerged as a result of diversification and specialization of industrial production, globally scattered availability of resources and more demanding consumer markets. Jointly with advances in freight transport and communication technologies, these developments have led to the global economy we face today. The strong growth of trade and consumption however also revealed some essential weaknesses of the system that renders current practices in the long run unsustainable—in social, environmental and economic terms (people, planet, profit). Future supply chains should no longer deplete scarce natural resources or contribute to climate change, should avoid environmental pollution and withstand safety and security threats, while at the same time remaining competitive and satisfying high labor quality standards. This requires not only the application of advanced technologies to mitigate or even neutralize these negative effects, but also the development of smart business models, new job qualification standards and corresponding (lifelong) training and education programs at all levels, including artificial intelligence based learning.
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In 2007 the world passed the point in which more than half of its population is living in urbanized areas, in some developed countries the urban population percentage is well above 70 %, and continues to rise.
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“The first and foremost objective of research and practical application shall therefore be a method securing the establishment and preservation of tree cultivation, enabling a continuous and sustainable use as this is an essential prerequisite for the well-being of the land.”
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Competence is here understood as the application of knowledge and information for a given (exemplified) real-world problem, e.g. the transportation and placement of a container in a seaport terminal or the production of a car specified by a customer.
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The chess computer IBM “Deep Blue”; the first victory was already in 1997 against Garry Kasparov, but until 2005 human players still were able to score in some cases against computers. Today in chess ranking “ELO points” computers lead unchallenged with 3304 against the best human with 2.882 (Magnus Carlsen in 2014).
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Zijm, H., Klumpp, M. (2016). Logistics and Supply Chain Management: Developments and Trends. In: Zijm, H., Klumpp, M., Clausen, U., Hompel, M. (eds) Logistics and Supply Chain Innovation. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-22288-2_1
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