PhyNetLab: An IoT-Based Warehouse Testbed

Future warehouses will be made of modular embedded entities with communication ability and energy aware operation attached to the traditional materials handling and warehousing objects. This advancement is mainly to fulfill the flexibility and scalability needs of the emerging warehouses. However, it leads to a new layer of complexity during development and evaluation of such systems due to the multidisciplinarity in logistics, embedded systems, and wireless communications. Although each discipline provides theoretical approaches and simulations for these tasks, many issues are often discovered in a real deployment of the full system. In this paper we introduce PhyNetLab as a real scale warehouse testbed made of cyber physical objects (PhyNodes) developed for this type of application. The presented platform provides a possibility to check the industrial requirement of an IoT-based warehouse in addition to the typical wireless sensor networks tests. We describe the hardware and software components of the nodes in addition to the overall structure of the testbed. Finally, we will demonstrate the advantages of the testbed by evaluating the performance of the ETSI compliant radio channel access procedure for an IoT warehouse

A robot swarm assisting a human fire-fighter

Emergencies in industrial warehouses are a major concern for fire-fighters. The large dimensions, together with the development of dense smoke that drastically reduces visibility, represent major challenges. The GUARDIANS robot swarm is designed to assist fire-fighters in searching a large warehouse. In this paper we discuss the technology developed for a swarm of robots assisting fire-fighters. We explain the swarming algorithms that provide the functionality by which the robots react to and follow humans while no communication is required. Next we discuss the wireless communication system, which is a so-called mobile ad-hoc network. The communication network provides also the means to locate the robots and humans. Thus, the robot swarm is able to provide guidance information to the humans. Together with the fire-fighters we explored how the robot swarm should feed information back to the human fire-fighter. We have designed and experimented with interfaces for presenting swarm-based information to human beings

Regional Warehouse Trip Production Analysis: Chicago Metro Area

This research report provides primary research data and analysis on heavy truck trip generation and characteristics from regional distribution centers (RDC) and similar facilities in an effort to facilitate future public policy making regarding roadway transportation needs as well as land-use and economic development decisions. The report also provides secondary data and information on intermodal freight transportation - its growth and its economic impacts ??? to provide a regional, national, and international context for the research. The primary data was obtained from a field survey of 12 distribution centers of various scales (7 of them regional) in Northeast Illinois. The 12 facilities and their supervisory personnel were visited by the research team and analyzed in depth for their general business characteristics (e.g. type of goods, number of employees, hours of operation etc.), property characteristics (e.g. location, facility size, ceiling height) and their truck trip productions (e.g. number of arrivals-departures, geographic distribution of inbound-outbound movement, volume per quarter etc.). The findings of this research project in reference to the 12 facilities indicate the uniqueness and significant complexity of the distribution centers. There is clear evidence of an increase in size (sq. ft & ceiling) and automation (racking systems) of the newer facilities as well as 24-hour operations. The comparison of daily heavy truck movement shows significant arrival concentration between 8am-10am and 8pm- 6am. In contrast the heaviest departure activity is between 4-6pm. The majority of originating freight is from the Midwest with the outbound distributions also being allocated regionally then nationally and internationally (minimal allocation). Another result was the increased volume concentration in the third quarter of each year between July and September. The above results along with the significant expansions of RDC facilities in the last few years indicate the additional need for studying the locations of the various facilities and the heavy truck traffic volume they generate. The results should also be useful in determining the economics benefits/costs and impacts of these facilities for purposes of making infrastructure investment, economic incentive, and land use decisions.Illinois Center for Transportation R27-15published or submitted for publicationis peer reviewe

Proximal business intelligence on the semantic web

This is the post-print version of this article. The official version can be accessed from the link below - Copyright @ 2010 Springer.Ubiquitous information systems (UBIS) extend current Information System thinking to explicitly differentiate technology between devices and software components with relation to people and process. Adapting business data and management information to support specific user actions in context is an ongoing topic of research. Approaches typically focus on providing mechanisms to improve specific information access and transcoding but not on how the information can be accessed in a mobile, dynamic and ad-hoc manner. Although web ontology has been used to facilitate the loading of data warehouses, less research has been carried out on ontology based mobile reporting. This paper explores how business data can be modeled and accessed using the web ontology language and then re-used to provide the invisibility of pervasive access; uncovering more effective architectural models for adaptive information system strategies of this type. This exploratory work is guided in part by a vision of business intelligence that is highly distributed, mobile and fluid, adapting to sensory understanding of the underlying environment in which it operates. A proof-of concept mobile and ambient data access architecture is developed in order to further test the viability of such an approach. The paper concludes with an ontology engineering framework for systems of this type – named UBIS-ONTO

Crossing geographical, legal and moral boundaries: the Belgian cigarette black market

Objectives: To describe and analyse the cigarette smuggling trade in Belgium and its role in the international cigarette black market. Design: Analysis of Belgian customs and prosecution files concerning the cigarette smuggling trade in the period 2000 to 2006 and interviews with law enforcement authorities and private tobacco industry. Results: Analyses were made of the geographical aspects, the modus operandi and the participants of the cigarette smuggling trade in Belgium. Belgium is mainly a transit country. The cigarettes are transported via the fine-meshed Belgian highway network to the UK, which is often the destination country of the cigarettes. China is the most popular country of origin, especially for counterfeited cigarettes. In order to transport the cigarettes often use was made of legal transport companies and warehouses were frequently used to store the cigarettes. Many of the persons involved in the Belgian cigarette smuggling trade are strongly connected to legitimate business activities. Conclusions: Belgium is an important transit country for cigarette smuggling to the UK. This study pictures the illicit tobacco trade as a complex, ambiguous phenomenon involving several legal and illegal participants whereby the transit of cigarettes across the licit/illicit divide is paralleled by the moral careers of those who smuggle them, not to mention those who consume them. From the legal world to the illegal and back again, this trade and its practitioners and customers blur the line between criminality and non- criminality. Dealing with this phenomenon therefore requires more than a strategy focusing on these lawbreakers alone

Solutions for decision support in university management

The paper proposes an overview of decision support systems in order to define the role of a system to assist decision in university management. The authors present new technologies and the basic concepts of multidimensional data analysis using models of business processes within the universities. Based on information provided by scientific literature and on the authors’ experience, the study aims to define selection criteria in choosing a development environment for designing a support system dedicated to university management. The contributions consist in designing a data warehouse model and models of OLAP analysis to assist decision in university management.university management, decision support, multidimensional analysis, data warehouse, OLAP