The interaction type approach to relationships management

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A service-oriented approach to modeling and performance analysis of Port Community Systems:

A Port Community System (PCS) is an electronic platform that links the multiple systems operated by private and public organizations. Accordingly, PCSs can be interpreted as complex service system networks that coproduce services. The study proposes a three levels top-down methodology which aims to interpret existing PCS in order to: provide a formal description of this system network based on the enterprise architecture concepts of a PCS; illustrate how each actor of a PCS offers or requires services; and present a new approach to the measurement of services based on the Goal-Question-Metric paradigm

Improving the efficiency of Port Community Systems through integrated information flows of logistic processes

The aim of the paper is to investigate maritime logistic processes, focusing on efficiency and coordination. The topic is timely because, in the European context, the EU Directive no. 2010/65/EU imposes the adoption of digital procedures concerning documents and information, in order to facilitate the relationships between all the actors of a port community system (PCS). From a theoretical viewpoint, we adopt the evolutionary economic approach, since it helps to understand the change processes due to its focus on organizational routines and their institutionalization. From a methodological viewpoint, we adopt a case-study approach, investigating the port of Salerno (south of Italy), which is involved in the “Smart Tunnel Project”, whose aim is to create a platform for intelligent logistic services. As a result, we provide a model that aims to replace the old inter- organizational routines with new more efficient ones, also improving the knowledge of the logistic processes through a facilitation of the exchange of documents and information between all the involved actors

Text Mining for Industrial Machine Predictive Maintenance with Multiple Data Sources

This paper presents an innovative methodology, from which an efficient system prototype is derived, for the algorithmic prediction of malfunctions of a generic industrial machine tool. It integrates physical devices and machinery with Text Mining technologies and allows the identification of anomalous behaviors, even of minimal entity, rarely perceived by other strategies in a machine tool. The system works without waiting for the end of the shift or the planned stop of the machine. Operationally, the system analyzes the log messages emitted by multiple data sources associated with a machine tool (such as different types of sensors and log files produced by part programs running on CNC or PLC) and deduces whether they can be inferred from them future machine malfunctions. In a preliminary offline phase, the system associates an alert level with each message and stores it in a data structure. At runtime, three algorithms guide the system: pre-processing, matching and analysis: Preprocessing, performed only once, builds the data structure; Matching, in which the system issues the alert level associated with the message; Analysis, which identifies possible future criticalities. It can also analyze an entire historical series of stored messages The algorithms have a linear execution time and are independent of the size of the data structure, which does not need to be sorted and therefore can be updated without any computational effort

Improving the efficiency of Port Community Systems through integrated information flows of logistic processes

The aim of the paper is to investigate maritime logistic processes, focusing on efficiency and coordination. The topic is timely because, in the European context, the EU Directive no. 2010/65/EU imposes the adoption of digital procedures concerning documents and information, in order to facilitate the relationships between all the actors of a port community system (PCS). From a theoretical viewpoint, we adopt the evolutionary economic approach, since it helps to understand the change processes due to its focus on organizational routines and their institutionalization. From a methodological viewpoint, we adopt a case-study approach, investigating the port of Salerno (south of Italy), which is involved in the “Smart Tunnel Project”, whose aim is to create a platform for intelligent logistic services. As a result, we provide a model that aims to replace the old inter-organizational routines with new more efficient ones, also improving the knowledge of the logistic processes through a facilitation of the exchange of documents and information between all the involved actors

Notulae to the Italian alien vascular flora: 12

In this contribution, new data concerning the distribution of vascular flora alien to Italy are presented. It includes new records, confirmations, exclusions, and status changes for Italy or for Italian administrative regions. Nomenclatural and distribution updates published elsewhere are provided as Suppl. material 1

Biogeochemistry, grain size and mineralogy of the Central and Southern Adriatic Sea sediments: a review.

Volume 26 Supplement 1, January 2010