1,005 research outputs found

    Autonomous Unmanned Ground Vehicles for Urban Logistics: Optimization of Last Mile Delivery Operations

    Get PDF
    In an era dominated by ongoing urbanization and rising e-commerce, the efficient delivery of goods within cities becomes a major challenge. As a new element of urban logistics, we discuss the potential of autonomous unmanned ground vehicles (AUGV) regarding the last mile delivery of shipments to customers. We propose an optimization model to minimize the delivery costs of urban shipments using AUGV. Simultaneously, best locations from a set of existing stations are selected for AUGV positioning and optimal route determination. With our developed Location Routing Problem, we provide decision support for parcel service providers, city authorities, and other relevant decision makers. Regarding the Green Information Systems domain, we tackle the lack of solution-oriented research addressing a more sustainable and locally emission free supply of goods within urban areas

    Modernized Management of Biomedical Waste Assisted with Artificial Intelligence

    Get PDF
    Biomedical waste can lead to severe environmental pollution and pose public health risks if not properly handled or disposed of. The efficient management of biomedical waste poses a significant challenge to healthcare facilities, environmental agencies, and regulatory bodies. Traditional management methods often fall short of efficient handling of biomedical waste due to its enormous quantity, diverse, and complex nature. In recent years, different approaches employing Artificial Intelligence (AI) techniques have been introduced and have shown promising potential in biomedical waste management. Wireless detection and IoT methods have enabled the monitoring of waste bins, predictions for the amount of waste, and optimization of the performance of waste processing facilities. This review paper aims to explore the application of AI through machine learning and deep learning models in optimizing the collection, segregation, transportation, disposal, and monitoring processes, which leads to improved resource allocation with risk mitigation of biomedical waste along with prediction, and decision-making using AI algorithms

    Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization

    Get PDF
    Nature-inspired algorithms have a great popularity in the current scientific community, being the focused scope of many research contributions in the literature year by year. The rationale behind the acquired momentum by this broad family of methods lies on their outstanding performance evinced in hundreds of research fields and problem instances. This book gravitates on the development of nature-inspired methods and their application to stochastic, dynamic and robust optimization. Topics covered by this book include the design and development of evolutionary algorithms, bio-inspired metaheuristics, or memetic methods, with empirical, innovative findings when used in different subfields of mathematical optimization, such as stochastic, dynamic, multimodal and robust optimization, as well as noisy optimization and dynamic and constraint satisfaction problems

    Tactical supply chain planning under a carbon tax policy scheme: a case study

    Get PDF
    Greenhouse gas emissions are receiving greater scrutiny in many countries due to international forces to reduce anthropogenic global climate change. Industry and their supply chains represent a major source of these emissions. This paper presents a tactical supply chain planning model that integrates economic and carbon emission objectives under a carbon tax policy scheme. A modified Cross-Entropy solution method is adopted to solve the proposed nonlinear supply chain planning model. Numerical experiments are completed utilizing data from an actual organization in Australia where a carbon tax is in operation. The analyses of the numerical results provide important organizational and policy insights on (1) the financial and emissions reduction impacts of a carbon tax at the tactical planning level, (2) the use of cost/emission tradeoff analysis for making informed decisions on investments, (3) the way to price carbon for maximum environmental returns per dollar increase in supply chain cost

    Savannah River Technology Center monthly report, February 1995

    Full text link

    Dynamics in Logistics

    Get PDF
    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

    AI Knowledge Transfer from the University to Society

    Get PDF
    AI Knowledge Transfer from the University to Society: Applications in High-Impact Sectors brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies that explore the use of Artificial Intelligence in a variety of high-impact sectors to lead innovation and assist in decision-making. Key Features Includes chapters on health and social welfare, transportation, digital economy, energy efficiency and sustainability, agro-industry, and tourism Great diversity of authors, expert in varied sectors, belonging to powerful research groups from the University of Seville with proven experience in the transfer of knowledge to the productive sector and agents attached to the AndalucĂ­a TECH Campu

    From Network to Web dimension in supply chain management

    Get PDF
    Cette thĂšse soutient que la dimension rĂ©seau, Ă©tant actuellement la portĂ©e du domaine de la gestion de chaĂźne logistique, contraint l’avancement de ce domaine et restreint des innovations conceptuelles et fondamentales capables d’adresser les grands dĂ©fis Ă©conomiques, environnementaux et sociaux. Les concepts de chaĂźne et de rĂ©seau ne reflĂštent pas la complexitĂ© des flux physiques, informationnels et financiers gĂ©nĂ©rĂ©s par les interactions qui ont lieu dans des rĂ©seaux interconnectĂ©s. Ces concepts n’offrent pas les fondations thĂ©oriques pour supporter des interventions allant au-delĂ  d’un seul rĂ©seau et laissent Ă©chapper des opportunitĂ©s nĂ©cessitant une vision multi-rĂ©seau. Ainsi, la dimension “web”, celle des rĂ©seaux de rĂ©seaux, est proposĂ©e comme une extension de la dimension rĂ©seau. Cette extension peut ĂȘtre vue comme l’étape naturelle suivante dans la progression qui a commencĂ© par le niveau de gestion des opĂ©rations internes, est passĂ©e au niveau de la chaĂźne logistique et se trouve actuellement au niveau du rĂ©seau logistique. AprĂšs l’investigation thĂ©orique des raisons et de la façon d’intĂ©grer la dimension web dans le domaine de la gestion de la chaĂźne logistique, la thĂšse Ă©tudie des implications importantes de cette intĂ©gration sur la collaboration inter-organisationnelle et le processus de prise de dĂ©cision dans des environnements de webs logistiques. Elle dĂ©montre, en exploitant l’exemple des rĂ©seaux interconnectĂ©s ouverts, des potentialitĂ©s inimaginables sans une vision web. Une mĂ©thodologie de conception d’un modĂšle de simulation permettant l’évaluation et la comparaison des webs ouverts par rapport aux webs existants est proposĂ©e. Puisque l’aide Ă  la dĂ©cision est une composante importante de la gestion de la chaĂźne logistique, la thĂšse contribue Ă  dĂ©terminer les besoins des gestionnaires et Ă  identifier les lignes directrices de la conception des outils d’aide Ă  la dĂ©cision offrant le support adĂ©quat pour faire face aux dĂ©fis et Ă  la complexitĂ© des webs logistiques. Ces lignes directrices ont Ă©tĂ© compilĂ©es dans un cadre de conception des logiciels d’aide Ă  la dĂ©cision supportant la dimension web. Ce cadre est exploitĂ© pour dĂ©velopper quatre applications logicielles offrant aux praticiens et aux chercheurs des outils nĂ©cessaires pour Ă©tudier, analyser et dĂ©mĂȘler la complexitĂ© des webs logistiques.This thesis argues that the network dimension as the current scope of supply chain management is confining the evolution of this field and restricting the conceptual and fundamental innovations required for addressing the major challenges imposed by the evolution of markets and the increased intricacies of business relationships. The concepts of chain and network are limitative when attempting to represent the complexity of physical, informational and financial flows resulting from the interactions occurring in overlapping networks. They lack the theoretical foundations necessary to explain and encompass initiatives that go beyond a single chain or network. They also lead to overlook substantial opportunities that require beyond a network vision. Therefore, the “web” dimension, as networks of networks, is proposed as an extension to the network dimension in supply chain management. This new scope is the natural next step in the progression from the internal operations management level to the supply chain level and then to the supply network level. After a theoretical investigation of why and how the web dimension should be integrated into the supply chain management field, the thesis studies and discusses important implications of this integration on inter-organisational collaboration and of the decision-making processes in the logistic web environments. It demonstrates through the example of open interconnected logistic webs some of the potentials that cannot be imagined without a web vision. A methodology for designing a simulation model to assess the impact of such open webs versus existing webs is proposed. Since decision support is a key element in supply chain management, the thesis contributes to determine the needs of supply chain managers and identify the important axes for designing decision support systems that provide adequate assistance in dealing with the challenges and complexity presented by logistic web environments. The identified elements result in the establishment of a foundation for designing software solutions required to handle the challenges revealed by the web dimension. This conceptual framework is applied to the prototyping of four applications that have the potential of providing practitioners and researchers with the appropriate understanding and necessary tools to deal with the complexity of logistics webs
    • 

    corecore