Sea Container Terminals

Due to a rapid growth in world trade and a huge increase in containerized goods, sea container terminals play a vital role in globe-spanning supply chains. Container terminals should be able to handle large ships, with large call sizes within the shortest time possible, and at competitive rates. In response, terminal operators, shipping liners, and port authorities are investing in new technologies to improve container handling infrastructure and operational efficiency. Container terminals face challenging research problems which have received much attention from the academic community. The focus of this paper is to highlight the recent developments in the container terminals, which can be categorized into three areas: (1) innovative container terminal technologies, (2) new OR directions and models for existing research areas, and (3) emerging areas in container terminal research. By choosing this focus, we complement existing reviews on container terminal operations

A pervasive computing system for the remote management of hospital waste

Waste generated by health care activities includes a broad range of materials, from used needles and syringes to soiled dressings, body parts, diagnostic samples, medical devices and radioactive materials. As a result of poor practice and large volumes, only a very small percentage ofmedical waste is actually disposed of properly in final reception units while the rest is unaccounted for potentially exposing the community at large to infection, toxic effects and injuries, and risking polluting the environment.This paper discusses, Greenactions, a novel Pervasive Computing system for the remote end-to-end management of hazardous medical waste. Greenactions provides real-time trace-ability for 100% of medical waste, by continually monitoring the full life cycle of each waste container, from their delivery to the hospitals, through to their collection and disposal, and providing remedial action in real-time, whenever an incident occurs. This is achieved by employing both fixed and handheld RFID and sensortechnology, supported by a state-machine model that knows at any time the current and next state of each waste container. Deployed together with a small fleet of appropriately modified vehicles for waste collection, Greenactions provides an integrated solution can be applied in any waste collection and tracking scenario, without requiring any costly, proprietary infrastructure thus alleviating the burden of medical waste management fromhealth-care units. A prototype system was developed using open source technology that is ready to be deployed to pilot healthcare units in Athens, while a set of KPIs were implemented for evaluating the efficiency of the system

Remote Vehicle Monitoring and Tracking System

Remote vehicle tracking and monitoring System has become one of the great systems in today industry. Many companies and institute are doing their research to enhance this system to another new level. Chapter one in this report gives a brief idea about the background of the study on what andwhy this system is develop. Theproblem statement and the scope of study are clearly stated in this section to indicate the main area of the system. Chapter two is the literature review whichis a finding or study about the system that already develop by other developer. It consists of various area of system that has relation with the basic idea which is meant for tracking and monitoring purposes. Chapter three is the section where the methodology use in developing the system and how the project works for the system is presented. The methodology is a step-by-step guide to develop the system in an organize way. The project works show how the system works using the diagram and its basic framework. Theframework developed is base on research being done and the best framework that suitable with the system that being develop is chose. Chapter four shows the result and discussion about the system development. The result is show in an illustrated figure. The discussion will give the basic idea on what is needed to be done and what should be improving for the system. Chapter five is the last section where in give the conclusion of the system development. It also gives the recommendation for any future upgrade or development on what need to be stressed out to build a sound system. i

Information technology application in intermodal terminal management

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.Page 125 blank.Includes bibliographical references (p. 119-124).by Ying Zhu.S.M

Information technology and efficiency in trucking

In this paper, we develop an econometric model to estimate the impacts of Electronic Vehicle Management Systems (EVMS) on the load factor (LF) of heavy trucks using data at the operational level. This technology is supposed to improve capacity utilization by reducing coordination costs between demand and supply. The model is estimated on a subsample of the 1999 National Roadside Survey, covering heavy trucks travelling in the province of Quebec. The LF is explained as a function of truck, trip and carrier characteristics. We show that the use of EVMS results in a 16 percentage points increase of LF on backhaul trips. However, we also find that the LF of equipped trucks is reduced by about 7.6 percentage points on fronthaul movements. This last effect could be explained by a rebound effect: higher expected LF on the returns lead carriers to accept shipments with lower fronthaul LF. Overall, we find that this technology has increased the tonne-kilometers transported of equipped trucks by 6.3% and their fuel efficiency by 5%.Information and Communication Technology, Efficiency, Load factor, Trucking, Energy Efficiency

Information technology and efficiency in trucking.

In this paper, we develop an econometric model to estimate the impacts of Electronic Vehicle Management Systems (EVMS) on the load factor (LF) of heavy trucks using data at the operational level. This technology is supposed to improve capacity utilization by reducing coordination costs between demand and supply. The model is estimated on a subsample of the 1999 National Roadside Survey, covering heavy trucks travelling in the province of Quebec. The LF is explained as a function of truck, trip and carrier characteristics. We show that the use of EVMS results in a 16 percentage points increase of LF on backhaul trips. However, we also find that the LF of equipped trucks is reduced by about 7.6 percentage points on fronthaul movements. This last effect could be explained by a rebound effect: higher expected LF on the returns lead carriers to accept shipments with lower fronthaul LF. Overall, we find that this technology has increased the tonne-kilometers transported of equipped trucks by 6.3% and their fuel efficiency by 5%.

Dynamics in Logistics

This open access book highlights the interdisciplinary aspects of logistics research. Featuring empirical, methodological, and practice-oriented articles, it addresses the modelling, planning, optimization and control of processes. Chiefly focusing on supply chains, logistics networks, production systems, and systems and facilities for material flows, the respective contributions combine research on classical supply chain management, digitalized business processes, production engineering, electrical engineering, computer science and mathematical optimization. To celebrate 25 years of interdisciplinary and collaborative research conducted at the Bremen Research Cluster for Dynamics in Logistics (LogDynamics), in this book hand-picked experts currently or formerly affiliated with the Cluster provide retrospectives, present cutting-edge research, and outline future research directions

Achieving the Dispatchability of Distribution Feeders through Prosumers Data Driven Forecasting and Model Predictive Control of Electrochemical Storage

We propose and experimentally validate a control strategy to dispatch the operation of a distribution feeder interfacing heterogeneous prosumers by using a grid-connected battery energy storage system (BESS) as a controllable element coupled with a minimally invasive monitoring infrastructure. It consists in a two-stage procedure: day-ahead dispatch planning, where the feeder 5-minute average power consumption trajectory for the next day of operation (called \emph{dispatch plan}) is determined, and intra-day/real-time operation, where the mismatch with respect to the \emph{dispatch plan} is corrected by applying receding horizon model predictive control (MPC) to decide the BESS charging/discharging profile while accounting for operational constraints. The consumption forecast necessary to compute the \emph{dispatch plan} and the battery model for the MPC algorithm are built by applying adaptive data driven methodologies. The discussed control framework currently operates on a daily basis to dispatch the operation of a 20~kV feeder of the EPFL university campus using a 750~kW/500~kWh lithium titanate BESS.Comment: Submitted for publication, 201

Towards a European ITS for freight transport and logistics: results of current EU funded research and prospects for the future

Objective The purpose of this paper is to review the developments of the last 15 years in the field of Freight Transport research and innovation, primarily (but not exclusively) in Europe focusing on the “Intelligent Transport Systems” aspects. Document type: Articl