Chris Kiranoudis

Chris Kiranoudis
National Technical University of Athens | NTUA · School of Chemical Engineering

Professor

About

155
Publications
33,039
Reads
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6,400
Citations

Publications

Publications (155)
Article
Full-text available
The diurnal and annual cycles of Earth drive the land surface temperature (LST) variations in space and time but their combined effects are conveyed differently from place to place as a function of climate, local weather conditions, and surface characteristics. Fitting a model of the diurnal or annual LST cycle (DTC and ATC, respectively) to satell...
Article
This paper proposes a novel matheuristic algorithm for solving the Production Routing Problem (PRP). The PRP is a hard-to-solve combinatorial optimization problem with numerous practical applications in the field of freight transportation, logistics and supply chain management. A manufacturer is responsible for determining production decisions, as...
Article
Full-text available
The urban heat island (UHI) effect influences the heating and cooling (H&C) energy demand of buildings and should be taken into account in H&C energy demand simulations. To provide information about this effect, the PLANHEAT integrated tool-which is a GIS-based, open-source software tool for selecting, simulating and comparing alternative low-carbo...
Conference Paper
Full-text available
The recent socioeconomic and environmental impacts of extreme flood events occurred in Europe are testimony to the disastrous consequences that such future hazards are likely to pose. Managing inundation risk requires prevention measures in close cooperation with Civil Protection authorities. This topic underlies the TRIBUTE (TRIgger BUffers for in...
Article
The land surface temperature (LST) drives many terrestrial biophysical processes and varies rapidly in space and time primarily due to the earth's diurnal and annual cycles. Models of the diurnal and annual LST cycle retrieved from satellite data can be reduced to several gap-free parameters that represent the surface's thermal characteristics and...
Article
Elevated urban temperatures and heatwaves are a serious threat to the health and wellbeing of the continuously growing urban population and are projected to worsen under climate change. For this reason well-informed disaster risk reduction (DRR) actions, where science and technology play a key role, are required. However insufficient communication...
Article
Full-text available
This work compares the transportation costs incurred by three alternative strategies for shipping items from a central warehouse to a set of customers and vice versa. Two-dimensional loading patterns have to be determined for the transported items. The vehicle routing problem (VRP) with simultaneous pick-ups and deliveries and two-dimensional loadi...
Article
Full-text available
The downscaling of geostationary diurnal thermal data can ease the lack of land surface temperature (LST) datasets that combine high spatial and temporal resolution. However, the downscaling of diurnal LST data is more demanding than single scenes. This is because the spatiotemporal interrelationships of the original LST data have to be preserved a...
Poster
Full-text available
TREASURE Mobile App is developed to provide citizens with real time information on their risk due to exposure to high temperatures. It estimates the air temperature at the specific location of the user. It then assesses the personalized heat wave risk based on the user profile. The app can also assess the heat wave risk of other people (e.g. family...
Poster
Full-text available
The downscaling of geostationary land surface temperature (LST) data is a recent advancement of thermal infrared (TIR) remote sensing that aims to address the current lack of high spatiotemporal LST data. Presently, the primary source of LST is satellite TIR remote sensing. However, due to technical constrains, TIR satellite sensors cannot offer LS...
Article
Full-text available
The Urban Heat Island (UHI) is an adverse environmental effect of urbanization that increases the energy demand of cities and impacts human health. The study of this effect for monitoring and mitigation purposes is crucial, but it is hampered by the lack of high spatiotemporal temperature data. This article presents the work undertaken for the impl...
Article
Full-text available
The downscaling of frequently-acquired geostationary Land Surface Temperature (LST) data can compensate the lack of high spatiotemporal LST data for urban climate studies. In order to be usable, the generated datasets must accurately reproduce the spatiotemporal features of the coarse-scale LST time series with greater spatial detail. This work con...
Article
We introduce and solve the Vehicle Routing Problem with Simultaneous Pick-ups and Deliveries and Two-Dimensional Loading Constraints (2L-SPD). The 2L-SPD model covers cases where customers raise delivery and pick-up requests for transporting non-stackable rectangular items. 2L-SPD belongs to the class of composite routing-packing optimization probl...
Article
The development of chemical accidents databases is considered as an important step in chemical accidents analysis. Still, there are deficiencies in implementing and populating such databases. On the other hand, processing of data stored in existing databases can lead to useful conclusions and assist chemical accident mitigation. In this presentatio...
Article
The increased temperatures of urban areas raise significant economic and health-related issues that affect more than half of the world population. This fact raised the need to assess and monitor the urban thermal environment and spurred the development of supportive information for decision-making, such as heat wave risk maps. Most of these require...
Conference Paper
The importance of studying the Urban Heat Island (UHI) phenomenon has increased over the years due to the processes of urbanization and industrialization. Thermal remote sensing imagery has been extensively utilized for surface UHI (SUHI) studies. However, the low image acquisition frequency of most sensors limits its use. The Institute for Astrono...
Article
The Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing of the National Observatory (NOA/IAASARS) has developed a system that retrieves and downscales thermal remote sensing data obtained from Meteosat Second Generation—Spinning Enhanced Visible and Infrared Imager (MSG-SEVIRI) in real time. This activity aims to facilitate...
Article
The present paper examines a Vehicle Routing Problem (VRP) of major practical importance which is referred to as the Load-Dependent VRP (LDVRP). LDVRP is applicable for transportation activities where the weight of the transported cargo accounts for a significant part of the vehicle gross weight. Contrary to the basic VRP which calls for the minimi...
Conference Paper
In recent years, the importance of monitoring the spatial and temporal characteristics of the Surface Urban Heat Island (SUHI) phenomenon has increased due to the rapid growth of the urban population. A system for real time and online monitoring of the urban thermal environment, which exploits the fine temporal resolution (15 min) of Meteosat Secon...
Conference Paper
Wildfire is a significant hazard for sensitive areas, i.e. geographic regions where urban communities, installations for processing or storing hazardous chemical substances, valuable assets and monuments, or other important infrastructure meet or intermix with fire-prone wildlands. To avoid human casualties, organized evacuation of the population s...
Article
This article introduces and solves a new rich routing problem integrated with practical operational constraints. The problem examined calls for the determination of the optimal routes for a vehicle fleet to satisfy a mix of two different request types. Firstly, vehicles must transport three-dimensional, rectangular and stackable boxes from a depot...
Article
Although Earth observation data have been used in urban thermal applications extensively, these studies are often limited by the choices made in data selection, i.e., either using data with high spatial and low temporal resolution, or data with high temporal and low spatial resolution. The challenge of advancing the low spatial (3-5 km) resolution...
Article
The present article examines a vehicle routing problem integrated with two-dimensional loading constraints, called 2L-CVRP. The problem is aimed at generating the optimal route set for satisfying customer demand. In addition, feasible loading arrangements have to be determined for the transported products. To solve 2L-CVRP, we propose a metaheurist...
Article
Full-text available
The average summer temperatures as well as the frequency and intensity of hot days and heat waves are expected to increase due to climate change. Motivated by this consequence, we propose a methodology to evaluate the monthly heat wave hazard and risk and its spatial distribution within large cities. A simple urban climate model with assimilated sa...
Article
This paper presents a smart phone based system for storing digital images of skin areas depicting regions of interest (lesions) and performing self-assessment of these skin lesions within these areas. The system consists of a mobile application that can acquire and identify moles in skin images and classify them according their severity into melano...
Article
This article introduces and solves a new transportation problem called the pallet-packing vehicle routing problem (PPVRP). PPVRP belongs to the category of practical routing models integrated with loading constraints, and assumes that customers raise a deterministic demand in the form of three-dimensional rectangular boxes. It is aimed at determini...
Article
This paper deals with a practical transportation model known as the Vehicle Routing Problem with Backhauls (VRPB), which aims at designing the minimum cost route set for satisfying both delivery and pick-up demands. In methodological terms, we propose a local search metaheuristic which explores rich solution neighborhoods composed of exchanges of v...
Article
This paper deals with a recently introduced routing problem variant called the undirected capacitated arc routing problem with profits (UCARPP). The UCARPP model considered in the present study is primarily aimed at generating the route set which maximizes the profit collected from a set of potential customers, represented by edges of the examined...
Article
An innovative system for detecting and extracting vehicles in traffic surveillance scenes is presented. This system involves locating moving objects present in complex road scenes by implementing an advanced background subtraction methodology. The innovation concerns a histogram-based filtering procedure, which collects scatter background informati...
Article
This article proposes a local search metaheuristic solution approach for the vehicle routing problem with simultaneous pick-ups and deliveries (VRPSPD), which models numerous practical transportation operations in the context of reverse logistics. The proposed algorithm is capable of exploring wide solution neighborhoods by statically encoding move...
Article
This article focuses on the mechanism of evaluating solution neighborhoods, an algorithmic aspect which plays a crucial role on the efficiency of local-search based approaches. In specific, it presents a strategy for reducing the computational complexity required for applying local search to tackle various combinatorial optimization problems. The v...
Article
This paper deals with a routing problem variant which considers customers to simultaneously require delivery and pick-up services. The examined problem is referred to as the Vehicle Routing Problem with Simultaneous Pick-ups and Deliveries (VRPSPD). VRPSPD is an NP-hard combinatorial optimization problem, practical large-scale instances of which ca...
Article
This paper examines a practical transportation model known as the open vehicle routing problem (OVRP). OVRP aims at designing the minimum cost set of routes originating from a central depot for satisfying customer demand. Vehicles do not need to return to the depot after completing their delivery services. In methodological terms, we propose an inn...
Article
Emergency response planning in case of a major accident (hazardous material event, nuclear accident) is very important for the protection of the public and workers' safety and health. In this context, several protective actions can be performed, such as, evacuation of an area; protection of the population in buildings; and use of personal protectiv...
Article
The present article studies an inventory routing model which integrates two important components of the supply chain: transportation logistics and inventory control. The distribution system examined consists of customers that face product demand at a deterministic and constant rate. Customer demand is satisfied by a fixed vehicle fleet located at t...
Article
This paper examines a recently addressed practical variant of the capacitated vehicle routing problem (VRP) called the capacitated vehicle routing problem with 3-D loading constraints (3L-CVRP). This problem considers customer demand to be formed by 3-D rectangular items. Additional loading constraints often encountered in real-life applications of...
Article
This article addresses a vehicle routing problem variant which considers customers to require simultaneous delivery and pick-up service (VRPSPD). The objective of this problem is to determine the optimal set of routes to totally satisfy both the delivery and pick-up demand of the customer population. VRPSPD is an NP-hard combinatorial optimization...
Chapter
The handling of certain quantities of hazardous materials (toxic, flammable and/or explosive) can potentially create major accidents endangering the public and worker's health, as well as the environment. Emergency response planning consists in assessing protective actions (evacuation, building protection of various degrees) for each and every area...
Chapter
Full-text available
The handling of certain quantities of hazardous materials (toxic, flammable and/or explosive) can potentially create major accidents endangering the public and worker’s health, as well as the environment. Emergency response planning consists in assessing protective actions (evacuation, building protection of various degrees) for each and every area...
Article
The aim of this paper is to present a new algorithmic methodology for the heterogeneous fixed fleet vehicle routeing problem (HFFVRP). HFFVRP consists of determining the minimum cost routes for a fleet of vehicles in order to satisfy the demand of the customer population. The fleet composition is fixed and consists of various types of vehicles that...
Article
Supply chains are complicated dynamical systems triggered by customer demands. Proper selection of equipment, machinery, buildings and transportation fleets is a key component for the success of such systems. However, efficiency of supply chains mostly depends on management decisions, which are often based on intuition and experience. Due to the in...
Article
A Web-based ERP system developed for attacking business problems and managing real-world business processes ranging from simple office automation procedures to complicated supply chain planning is presented. The system’s Web-aspect provides significant advantages, as the system is distributed through interoperable, cross-platform and highly pluggab...
Article
We propose a three-step algorithmic framework for solving a new variant of the vehicle-routing problem (VRP) called the vehicle-routing problem with intermediate replenishment facilities (VRPIRF). The aim of this problem is to determine optimal routes for a fleet of vehicles that can renew their capacity at intermediate replenishment stations. Alth...
Article
This study investigates the potential of applying the radial basis function (RBF) neural network architecture for the classification of biological microscopic images displaying lung tissue sections with idiopathic pulmonary fibrosis. For the development of the RBF classifiers, the fuzzy means clustering algorithm is utilized. This method is based o...
Article
A model providing the temporal and spatial distribution of the population under evacuation around a major hazard facility is developed. A discrete state stochastic Markov process simulates the movement of the evacuees. The area around the hazardous facility is divided into nodes connected among themselves with links representing the road system of...
Article
Effective routing of vehicles remains a focal goal of all modern enterprises, thriving for excellence in project management with minimal investment and operational costs. This paper proposes a metaheuristic methodology for solving a practical variant of the well-known Vehicle Routing Problem, called Heterogeneous Fixed Fleet VRP (HFFVRP). Using a t...
Article
Routing of vehicle fleet for collecting newly cropped raw materials for multi-product dehydration plants is a component of plant production schedule of utmost significance. A meta-heuristic algorithm for efficiently solving the collecting vehicle routing problem was developed and analyzed in detail in Tarantilis and Kiranoudis (2000). Meta-heuristi...
Article
Dehydration plants are characterized by a multi-product nature chiefly attributed to the utilization of different raw materials to be processed in parallel so that demand constraints are met. The Just-In-Time production planning policy of these plants require the collection of raw materials to be dehydrated shortly before the actual processing, imm...
Article
The present paper describes the development of a database that comprises all incidents from the Greek petrochemical industry for the period 1997–2003. This database includes industrial incidents, accidents, operational accidents and near misses from all petrochemical sites in Greece and Cyprus. The design of the database has been conceived in a use...
Article
This paper makes an analysis of all reported accidents and incidents in the Greek Petrochemical Industry for the period spanning from 1997 to 2003. The work performed is related to the analysis of important parameters of the incidents, their inclusion in a database adequately designed for the purposes of this analysis and an importance assessment o...
Article
This paper is using a fuzzy classification system for human reliability analysis in order to calculate the probability of erroneous actions according to CREAM in specific contexts e.g. maintenance tasks, in-field actions or control room operations in the running of a chemical plant. The complexities of such a system as well as the appropriate actio...
Article
Full-text available
This study investigates the potential of three advanced pixel window classification methods for habitat mapping, namely Kernel based spatial Re-Classification (KRC), Radial Basis Function (RBF) neural networks (NN) and Support Vector Machines (SVM). KRC classifier takes into account the spatial arrangement and frequency of spectral classes present...
Conference Paper
The paper presents a mathematical model, implemented in a general computer code that can provide detailed information for the prediction of flow field of closed spaces, using different turbulent models for the description of turbulence. For the comparison of the three models that describes the turbulent flow, the standard k-ε, the RNG k-ε and the a...
Article
A fully automated system for the identification of possible oil spills present on Synthetic Aperture Radar (SAR) satellite images based on artificial intelligence fuzzy logic has been developed. Oil spills are recognized by experts as dark patterns of characteristic shape, in particular context. The system analyzes the satellite images and assigns...
Article
Full-text available
In this paper, we consider the open vehicle routeing problem (OVRP), in which routes are not sequences of locations starting and ending at the depot but open paths. The problem is of particular importance for planning fleets of hired vehicles, a common practice in the distribution and service industry. In such cases, the travelling cost is a functi...
Article
In this paper, a commercial problem of enterprise logistics nature called multi-product warehouse sizing problem is formulated and solved. The optimal warehouse inventory level and the order points are determined by minimizing the total inventory ordering and holding costs for a specific time period. The problem is formulated as an appropriate math...
Article
Full-text available
Heuristic search is a core area of artificial intelligence and the employment of an efficient search algorithm is critical to the performance of an intelligent system. This paper addresses a productions scheduling problem with complex precedence constrains in an identical parallel machines environment. Although this particular problem can be found...
Article
Full-text available
In this paper we consider the operational planning problem of physical distribution via a fleet of hired vehicles, for which the travelling cost is solely a function of the sequence of locations visited within all open delivery routes, while vehicle fixed cost is inexistent. The problem is a special class of vehicle routing and is encountered i...
Article
This paper presents a decision support system (DSS) that enables logistics planners of a well-known hank to design intra-city safe delivery routes, using an intelligent metaheuristic method and exploiting risk methodologies and spatial data information. The DSS routes minimize the probability of successful vehicle robbery at a certain point of the...
Article
Operational crisis systems are widely known to aid management decisions by providing rational and quantitative information based on the site-specific circumstances and the possible consequences. Forest fire incidents are known to provoke irreparable damage to regions of utmost significance from the ecological point of view. The development of an op...
Article
Full-text available
A wildland fire is a serious threat for forest ecosystems in Southern Europe affecting severely and irreversibly regions of significant ecological value as well as human communities. To support decision makers during large-scale forest fire incidents, a multidisciplinary system has been developed that provides rational and quantitative information...