1,721,020 research outputs found
A framework for digital twins solutions for 5 PL operators
No full textThe logistics industry is undergoing a profound transformation to cope with the fundamental changes in customer expectations and the need for digitalization imposed by the pandemic, changes in the socio-economic world, and technology. This research paper addresses the use of Digital Twins in the logistics industry at the network, site, and asset levels. There is no single definition of a Digital Twins framework for logistics twins in academic and industry practice, so a scientific method allows for investigation from an exploratory perspective. Data/fact findings were conducted in two ways: (1) in-depth interviews with experts from academia, ICT organizations, and key players in the logistics industry; (2) academic publications, industry reports, and written and media content from established national and international organizations. This paper proposes a conceptual Digital Twins framework for logistics (DTLs). This paper clarifies DTL concepts and defines an implementation from academic and practical points of view. It thoroughly explores actual use cases of DTLs to validate the concept and optimize its implementation. This paper explains how DTLs work and add value to businesses. In doing so, it outlines different technological requirements for solutions and logistical performance objectives when implementing different levels of DTLs. This paper focuses on Fifth-Party Logistics Providers (5 PLs) due to their complexity and the fact that they are becoming increasingly important and relatively widespread. This paper combines academic and industry perspectives to gain a shared understanding of DTLs as an entire logistics value chain in the case of 5 PLs. It provides a practical reference for researchers and practitioners to facilitate discussion on DTLs
Framework of IoT, blockchain, digital twins, and artificial intelligence solutions in support of the digital business transformation of logistics 5.0
No full textIn organizations, it is vital to reach the customer. For this reason, logistics is considered an essential
function in organizations. A general definition of logistics includes planning, production, purchasing,
transportation, storage, loading and unloading, handling, packaging, processing, distribution, control,
information processing, and traceability. These activities must be balanced to achieve the primary objectives
of logistics. This situation requires an appropriate flow of goods/services/people/information at
the right time with the right equipment/devices/competent people at the right place in the right quality
and quantity to satisfy customers. Logistics should also be sustainable, flexible, and resilient
Fragile site induction by aphidicolin may be increased in parents of neuroblastoma patients
No full textWe recently demonstrated an increased expression of fragile sites, induced by aphidicolin, in lymphocytes of neuroblastoma patients. We have now extended our studies to parents of affected children with neuroblastoma to verify if this characteristic may be genetically transmitted. We have examined 20 families. In most of them, the hypersensitivity to aphidicolin was found in the affected child and in at least one parent. Moreover, some of the parents showed an increase in the expression of the fragile sites 1p32, 1p13, or both that are preferentially expressed in neuroblastoma patients. The possible relations between the hypersensitivity to aphidicolin and the inheritance of predisposition to neuroblastoma must be clarified
Investigations on the PGM (phosphoglucomutase) polymorphism by isoelectric focusing in Drosophila melanogaster
No full textOptimal allocation of investment in a two- Region economy
No full textLecture Notes in Computer Scienc
A system approach to the optimal health-care districting
No full textThe paper presents a methodology for partitioning a given region in geographical areas in such a way as to insure an optimal allocation of the available health services. Two steps compose the proposed approach. In the first step, via mathematical programming one determines optimal hospital districts by taking into account demand and capacity, measured in number of hospital-beds. In the second step, one determines health-districts by aggregating together hospital districts, by taking into account lower and upper bounds for the population in each district and the existence of districts with a different nature (political, educational, etc.). A case study is presented for the Italian province of Cosenza. Although developed within the context of health-care services, the approach is general enough to be applicable also to the partition in a given region of other social services, i.e. school districts. © 1981
Artificial Intelligence for the Management of Servitization 5.0
Full text linkPurpose-The sale of physical products has been manufacturing companies' main revenue source. A trend is known as servitization for earning revenue comes from services. With the convergence of servitization and digitization, many manufacturing organizations are undergoing digital servitization. In parallel, the digitization of industry is pushing new technological solutions to the top of the business agenda. Artificial intelligence can play a substantial role in this digital business transformation. This evolution is referred to in this paper as Servitization 5.0 and requires substantial changes. Aim-This paper explores the applications of artificial intelligence to Servitization 5.0 strategies and its role, particularly in changing organizations to EverythiA.I.ng as a Service. The paper underlines the contribution that A.I. can provide in moving to a human-centric, sustainable, and resilient servitization. Method used-The basis of the work is a literature review supported by information collected from business case studies by the authors. A follow-up study defined the models. The validity of the model was tested by collecting ten experts' opinions who currently work within servitization contracts sessions. Findings-For manufacturing companies, selling services requires completely different business models. In this situation, it is essential to consider advanced solutions to support these new business models. Artificial Intelligence can make it possible. On the inter-organizational side, empirical evidence also points to the support of A.I. in collaborating with ecosystems to support sustainability and resilience, as requested by Industry 5.0. Original value-Regarding theoretical implications, this paper contributes to interdisciplinary research in corporate marketing and operational servitization. It is part of the growing literature that deals with the applications of artificial intelligence-based solutions in different areas of organizational management. The approach is interesting because it highlights that digital solutions require an integrated business model approach. It is necessary to implement the technological platform with appropriate processes, people, and partners (the four Ps). The outcome of this study can be generalized for industries in high-value manufacturing. Implications-As implications for management, this paper defines how to organize the structure and support for Servitization 5.0 and how to work with the external business environment to support sustainability
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