Introduction to Intelligent Decision Support and Big Data for Logistics and Supply Chain Management Minitrack

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AGILE SOLUTIONS & DATA ANALITICS FOR LOGISTICS PROVIDERS BASED ON SIMULATION

The current advances are enabling the development of new solutions in data analytics and decision making in many fields; it is quite interesting to analyze the impact of this approach on logistics providers; this paper proposes examples of these challenges in this context as well as an example of a simulation based solution able to interconnect the different information sources and to fuse the data in order to analyze the logistics processes and support decisions. The proposed solution is based on web services and web application that are adopting the MSaaS concept (Modeling & Simulation as a Service) by using stochastic models

Determinants of using telematics systems in road transport companies

Purpose: The aim of this study is to evaluate the scope of using telematics systems based on GPS/GPRS in the road transport as well as to identify determinants of applying telematics tools to increase the quality in the supply chain. Design/Methodology/Approach: The contribution is based on a review of literature, preparing of a questionnaire-based survey directed to road transport companies and estimating logit models. Findings: It is submitted that there is an observable trend of extending telematics in the road transport. The following variables increase the probability of using telematics systems for punctuality checking in supply chains such as the number of employed persons, importance of telematics for getting new orders, managers’ viewpoints that telematics increases the quality of order processing and forecasting punctuality of loadings as well as speeds up decision-making processes. Practical Implications: Application of IT solutions including telematics in road transport is growing continuously. However, the awareness of managers about possible areas of applying them is still unsatisfactory. The paper reveals the determinants of application telematics in supply chain, which can be used to motivate and train managers to extend its scope in practice. Originality/Value: The study is based on primary data from road transport companies and related to the scope of application of telematics systems in operational management. A logit model is applied to evaluate the determinants of using IT systems in the road transport industry. It may be useful for practitioners and analytics of transport industry to broaden applications of IT solutions.peer-reviewe

Big Data Management in Maritime Transport

As maritime transport produces a large amount of data from various sources and in different formats, authors have analysed current applications of Big Data by researching global applications and experiences and by studying journal and conference articles. Big Data innovations in maritime transport (both cargo and passenger) are demonstrated, mainly in the fields of seaport operations, weather routing, monitoring/tracking and security. After the analysis, the authors have concluded that Big Data analyses can provide deep understanding of causalities and correlations in maritime transport, thus improving decision making. However, there exist major challenges of an efficient data collection and processing in maritime transport, such as technology challenges, challenges due to competitive conditions etc. Finally, the authors provide a future perspective of Big Data usage in maritime transport

Rebuilding Evolution: A Service Science Perspective

This paper explores a simple idea and asks a simple question: What determines the speed limit of evolutionary processes, and might there be ways to speed up those processes for certain types of systems under certain conditions? Or even more simply, how rapidly can complex systems be rebuilt? To begin with, the universe can be viewed as an evolving ecology of entities. Entities correspond to types of systems - from atoms in stars to organisms on Earth to ideas in the heads of people. Service science is the study of the evolving ecology of service system entities, complex socio-technical systems with rights and responsibilities – such as people, businesses, and nations. We can only scratch the surface in this paper, but our explorations suggest this is an important research question and direction, especially as we enter the cognitive era of smart and wise service systems. For example, it takes a child multiple years of experience to learn language and basic social interactions skills, but could machine learning algorithms with the proper data sets learn those capabilities in a fraction of the time

Data-Driven Understanding of Smart Service Systems Through Text Mining

Smart service systems are everywhere, in homes and in the transportation, energy, and healthcare sectors. However, such systems have yet to be fully understood in the literature. Given the widespread applications of and research on smart service systems, we used text mining to develop a unified understanding of such systems in a data-driven way. Specifically, we used a combination of metrics and machine learning algorithms to preprocess and analyze text data related to smart service systems, including text from the scientific literature and news articles. By analyzing 5,378 scientific articles and 1,234 news articles, we identify important keywords, 16 research topics, 4 technology factors, and 13 application areas. We define ???smart service system??? based on the analytics results. Furthermore, we discuss the theoretical and methodological implications of our work, such as the 5Cs (connection, collection, computation, and communications for co-creation) of smart service systems and the text mining approach to understand service research topics. We believe this work, which aims to establish common ground for understanding these systems across multiple disciplinary perspectives, will encourage further research and development of modern service systems

The overview-analytical document of the international experience of building smart city

The population of the planet is constantly growing, people are moving to the cities. Recently, more and more interest is being given to smart cities as a guarantee of at least comfortable living of citizens, as a maximum – an ultramodern autonomous city with artificial intellect, anticipating the needs of residents, capable of functioning autonomously for a long time. The purpose of the article is to analyze the experience of smart cities, highlight the distinctive and common features and outline the initial stages of the route map for the development of a specific city into a smart city. After the study, it became clear that the concept of “smart city” is very broad, scientists are investing a huge number of parameters that characterize a smart city, but it was possible to identify common characteristics. Also, the hypothesis was tested that the city’s urbanization should be oriented towards the inhabitants of this city, i.е. implemented not by a single algorithm, but by an algorithm that is adapted to the needs of a particular city. We proposed a methodology for the preparatory stage of the city’s self-mastering, which is based on expert assessments by a prior ranking, includes 2 stages and which was tested on the example of Odessa (Ukraine). At the first stage, the questionnaire contained questions about the six main characteristics of a smart city. At this stage three characteristics were singled out, which are of particular concern to Odessa citizens and the second survey contained 36 clarifying questions only for these three characteristics. The results allowed to distinguish 6 characteristics from which it is necessary to start Odessa’s growth as a smart city

Sistema de apoio à decisão sobre transportes urbanos

Dissertação de mestrado em Engenharia e Gestão de Sistemas de InformaçãoCom o aumento do número de veículos nas estradas o engarrafamento de trânsito nas zonas urbanas tem-se tornado um problema. Os engarrafamentos levam a prejuízos, poluem o ambiente e causam riscos para a saúde pública. Existe uma necessidade de gerir o trânsito de forma a evitar o congestionamento nas vias sem aumentar o número de infraestruturas, o que se tem demonstrado desafiador. Para combater estas dificuldades têm sido desenvolvidas novas soluções de gestão de trânsito, como a que será apresentada nesta dissertação. Para este projeto de dissertação os Transportes Urbanos de Braga (TUB) forneceram dados relativos às suas rotas desde 2016, até ao presente ano. O que se pretende com esta tese é recorrendo a técnicas de Data Mining, alimentados com estes dados e com dados de datasets complementares sobre o ambiente, como por exemplo um calendário de eventos na cidade, se consiga prever o comportamento do trânsito, de modo a otimizar as rotas feitas pelos autocarros dos Transportes Urbanos de Braga (TUB), reduzindo assim gastos em combustível, baixando a poluição e ter horários mais precisos para os utilizadores destes transportes.With the raise of the number of vehicles on the roads, traffic jams on urban areas became a problem. Traffic jams lead to financial losses, pollute the environment and cause risks to the public health. There is a necessity to manage traffic in order to avoid road congestion without increasing the number of infrastructures, which has been challenging. To combat these difficulties new traffic management solutions have been developed, like the one that will be presented in this dissertation. For this dissertation project the TUB provided data relative to their routes since 2016, until the present year. The objective of this thesis is using Data Mining techniques, powered by this data and with data from complementary datasets about the environment like, for example a calendar with the city events, we will be able to predict the behavior of the traffic in the following days in order to optimize the TUB bus routes accordingly with what is expected, reducing the fuel costs, lowering the pollution levels and have more accurate schedules for the costumers of these transports

NASA thesaurus. Volume 3: Definitions

Publication of NASA Thesaurus definitions began with Supplement 1 to the 1985 NASA Thesaurus. The definitions given here represent the complete file of over 3,200 definitions, complimented by nearly 1,000 use references. Definitions of more common or general scientific terms are given a NASA slant if one exists. Certain terms are not defined as a matter of policy: common names, chemical elements, specific models of computers, and nontechnical terms. The NASA Thesaurus predates by a number of years the systematic effort to define terms, therefore not all Thesaurus terms have been defined. Nevertheless, definitions of older terms are continually being added. The following data are provided for each entry: term in uppercase/lowercase form, definition, source, and year the term (not the definition) was added to the NASA Thesaurus. The NASA History Office is the authority for capitalization in satellite and spacecraft names. Definitions with no source given were constructed by lexicographers at the NASA Scientific and Technical Information (STI) Facility who rely on the following sources for their information: experts in the field, literature searches from the NASA STI database, and specialized references

Spinoff 1997: 25 Years of Reporting Down-to-Earth Benefits

The 25th annual issue of NASA's report on technology transfer and research and development (R&D) from its ten field centers is presented. The publication is divided into three sections. Section 1 comprises a summary of R&D over the last 25 years. Section 2 presents details of the mechanisms NASA uses to transfer technology to private industry as well as the assistance NASA provides in commercialization efforts. Section 3, which is the focal point of the publication, features success stories of manufacturers and entrepreneurs in developing commercial products and services that improve the economy and life in general