958 resultados para material handling technology


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En el presente trabajo se describen los aportes más destacados de algunos de los gurúes representativos del ámbito administrativo Oriental y Occidental. En Occidental se cuenta con el legado de Henry Ford, Philip Kotler, Frederick Winslow Taylor, Henry Fayol, Michael Porter, Peter Drucker y Steve Jobs. En Oriente, los gurúes son Akio Morita, Edwards Deming, Kaoru Ishikawa, Familia Toyoda, Masaaki Imai y Taiichi Ohno. A partir de ello, se hacen comparaciones entre las tendencias de administración de cada cultura y entre los gurúes. Seguido, se comentan aspectos importantes de Mc Donald’s y Samsung, en cuanto a sus modelos de gestión y su adaptación en un mundo globalizado.

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This investigation assessed the applicability of Dr. William Haddon’s strategies for controlling hazards involving materials-handling operations in industrial and mining workplaces. Published over 20 years ago, Haddon’s strategies purport to include all strategies for preventing and mitigating harm to people, property, and the environment. Students in an undergraduate class were assigned to find tactical examples of each of Haddon’s strategies applicable to material handling. Haddon’s tenth strategy involving medical care and rehabilitation was not included. Their classifications were analyzed to identify points of confusion as well as points of general agreement. Students found numerous tactics for strategies involving engineering and behavioral strategies. Fewer tactics were identified for strategies involving damage control through effective and timely response.

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Dieser Artikel setzt sich mit den Einflussgrößen auf die Energieeffizienz von Intralogistikressourcen am Beispiel des Tragkettenförderers auseinander. Es wird beleuchtet durch welche Methoden der Energiebedarf und -verbrauch ermittelt werden kann und wie Abhängigkeiten und Wechselwirkungen der Einflussgrößen auf den Energieverbrauch bestimmt werden. Aus den Ergebnissen werden Maßnahmen abgeleitet, durch die der Energieverbrauch von Intralogistikressourcen reduziert werden kann. Zudem wird ein Ausblick auf Energieverbrauchserhöhungen durch die zeitliche Veränderung infolge von Verschleißerscheinungen gegeben. Die ermittelten Erkenntnisse bilden die Grundlage für die Erstellung eines Kostenmodells, das die real auftretenden Lebenszykluskosten für Energie und Instandhaltung transparenter als bestehende Kostenmodelle darstellt. Mit dem Modell sollen Energie- und Instandhaltungskosten über den Lebenszyklus verringert werden, indem die Instandhaltungsmaßnahmen aus Gesamtkostensicht optimal geplant werden.

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Flexible und wandelbare Fabrikstrukturen sind von hoher Bedeutung, wenn Produktionsstätten in einem turbulenten Umfeld langfristig wettbewerbsfähig bleiben sollen; darin sind sich Forschung und Praxis einig. Während der jüngsten weltweiten Wirtschaftskrise wurden Experten aus dem Airline-Catering-Umfeld befragt, wie Betriebe dieser Branche auf starke Veränderungen vorbereitet sind. Vorgespräche und Analysen des Autors legten die Vermutung nahe, dass diese Dienstleistungsbranche besonderen Flexibilitätsanforderungen unterliegt. Im Rahmen einer detaillierten Studie, deren Erkenntnisse in einer Dissertation zusammengefasst werden, sind Interviews mit Experten geführt worden. Aus den Ergebnissen der Interviews wurden Schlussfolgerungen auf erforderliche, flexible Materialflusstechniklösungen, im Speziellen Elektrohängebahnen (EHB), und bauliche Anpassungen nach dem „Konzept Internet der Dinge“ gezogen. Szenarioanalysen zu Wirtschaftlichkeits- und Risikoaspekten durchleuchteten die generierten Ansätze. Anschließend an die quantitative Analyse wurden die Ansätze ebenfalls durch eine qualitative Bewertung herkömmlichen Lösungen gegenübergestellt. Die aufgebaute Bewertungsmethode ist sowohl geeignet, um in zukünftigen Projekten die Entscheidung für oder gegen eine wandelbare Ausführung zu treffen, als auch andere Branchen auf die grundsätzliche Sinnhaftigkeit des Einsatzes wandelbarer Materialflusstechnik zu überprüfen.

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At the Chair of Logistics Engineering, TU Dresden, a particular focus is research and development of magnetic traction sheaves. Therein the main fundamentals of these special sheaves are determined for applications in different fields such as elevators, several kinds of winches, hoists and cranes. In the current research project “energy balance of magnetic traction sheaves”, the dynamic behaviour of systems with magnetic traction sheaves was investigated. The research focused on theoretical and practical examinations of energy balance. Moreover, a new approach for dimensioning magnetic traction sheave systems is presented. It is a project of the Research Foundation Intralogistics / Material Handling and Logistics (IFL), which is funded through the AiF under the program of Industrial Collective Research for SMEs (IGF) by the Federal Ministry of Economics and Technology (BMWi).

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Warehouse is an essential component in the supply chain, linking the chain partners and providing them with functions of product storage, inbound and outbound operations along with value-added processes. Allocation of warehouse resources should be efficient and effective to achieve optimum productivity and reduce operational costs. Radio frequency identification (RFID) is a technology capable of providing real-time information about supply chain operations. It has been used by warehousing and logistic enterprises to achieve reduced shrinkage, improved material handling and tracking as well as increased accuracy of data collection. However, both academics and practitioners express concerns about challenges to RFID adoption in the supply chain. This paper provides a comprehensive analysis of the problems encountered in RFID implementation at warehouses, discussing the theoretical and practical adoption barriers and causes of not achieving full potential of the technology. Lack of foreseeable return on investment (ROI) and high costs are the most commonly reported obstacles. Variety of standards and radio wave frequencies are identified as source of concern for decision makers. Inaccurate performance of the RFID within the warehouse environment is examined. Description of integration challenges between warehouse management system and RFID technology is given. The paper discusses the existing solutions to technological, investment and performance RFID adoption barriers. Factors to consider when implementing the RFID technology are given to help alleviate implementation problems. By illustrating the challenges of RFID in the warehouse environment and discussing possible solutions the paper aims to help both academics and practitioners to focus on key areas constituting an obstacle to the technology growth. As more studies will address these challenges, the realisation of RFID benefits for warehouses and supply chain will become a reality.

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In recent years the increased interest in introducing radio frequency technology (RFID) in warehousing was observed. First adopters of RFID reported numerous benefits, which included: reduced shrinkage, real-time tracking and better accuracy of data collection. Along with the academic and industrial discussion on benefits which can be achieved in RFID enabled warehouses there are reports on issues related to adoption of RFID technology in warehousing. This paper reviews results of scientific reports of RFID implementation in warehouses and discusses the adoption barriers and causes of not achieving full potential of the technology. Following adoption barriers are identified and set in warehousing context: lack of forseeable return on investment (ROI), unreliable performance of RFID systems, standarisation, integration with legacy systems and privacy/security concerns. As more studies will address these challenges, the realisation of RFID benefits for warehouses will become reality.

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Context The School of Information Technology at QUT has recently undertaken a major restructuring of their Bachelor of Information Technology (BIT) course. Some of the aims of this restructuring include a reduction in first year attrition and to provide an attractive degree course that meets both student and industry expectations. Emphasis has been placed on the first semester in the context of retaining students by introducing a set of four units that complement one another and provide introductory material on technology, programming and related skills, and generic skills that will aid the students throughout their undergraduate course and in their careers. This discussion relates to one of these four fist semester units, namely Building IT Systems. The aim of this unit is to create small Information Technology (IT) systems that use programming or scripting, databases as either standalone applications or web applications. In the prior history of teaching introductory computer programming at QUT, programming has been taught as a stand alone subject and integration of computer applications with other systems such as databases and networks was not undertaken until students had been given a thorough grounding in those topics as well. Feedback has indicated that students do not believe that working with a database requires programming skills. In fact, the teaching of the building blocks of computer applications have been compartmentalized and taught in isolation from each other. The teaching of introductory computer programming has been an industry requirement of IT degree courses as many jobs require at least some knowledge of the topic. Yet, computer programming is not a skill that all students have equal capabilities of learning (Bruce et al., 2004) and this is clearly shown by the volume of publications dedicated to this topic in the literature over a broad period of time (Eckerdal & Berglund, 2005; Mayer, 1981; Winslow, 1996). The teaching of this introductory material has been done pretty much the same way over the past thirty years. During this period of time that introductory computer programming courses have been taught at QUT, a number of different programming languages and programming paradigms have been used and different approaches to teaching and learning have been attempted in an effort to find the golden thread that would allow students to learn this complex topic. Unfortunately, computer programming is not a skill that can be learnt in one semester. Some basics can be learnt but it can take many years to master (Norvig, 2001). Faculty data typically has shown a bimodal distribution of results for students undertaking introductory programming courses with a high proportion of students receiving a high mark and a high proportion of students receiving a low or failing mark. This indicates that there are students who understand and excel with the introductory material while there is another group who struggle to understand the concepts and practices required to be able to translate a specification or problem statement into a computer program that achieves what is being requested. The consequence of a large group of students failing the introductory programming course has been a high level of attrition amongst first year students. This attrition level does not provide good continuity in student numbers in later years of the degree program and the current approach is not seen as sustainable.

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Computational fluid dynamics (CFD) models for ultrahigh velocity waterjets and abrasive waterjets (AWJs) are established using the Fluent 6 flow solver. Jet dynamic characteristics for the flow downstream from a very fine nozzle are then simulated under steady state, turbulent, two-phase and three-phase flow conditions. Water and particle velocities in a jet are obtained under different input and boundary conditions to provide an insight into the jet characteristics and a fundamental understanding of the kerf formation process in AWJ cutting. For the range of downstream distances considered, the results indicate that a jet is characterised by an initial rapid decay of the axial velocity at the jet centre while the cross-sectional flow evolves towards a top-hat profile downstream.

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From 2008-09 to 2012-13, the most prevalent worker compensation claim in the Queensland Ambulance Service (QAS) was musculoskeletal injuries at >80%. This is consistent with literature that shows Musculoskeletal Disorders (MSD) was one of the front runners for workplace injuries among many professions. In an attempt to reduce the injury rate and related claims, the QAS created a selection criterion for their workers based on the Health Related Fitness Test. This method intended to select workers based upon their fitness level, instead of selecting for their ability to perform the tasks or modify the tasks to better suit the workers. With injury rates remaining high, further research produced the Patient Handling Equipment Project Report, which provided the background for the Manual Handling Program Book. The Manual Handling Program Book however lacks in accurately addressing musculoskeletal hazards; actions which cause or avoid injury, correct posture and motion for patient movement, muscular biomechanics, static and dynamic workload including activities causing strain, and equipment use in relation to musculoskeletal hazards. The exploratory research aims to better understand the ambulance service’s perception of Manual Materials Handling (MMH), how it relates to musculoskeletal injuries and how the service has attempted to reduce its prevalence. Based on a literature review and a critical analysis of the QAS Health Related Fitness Test, QAS Patient Handling Equipment Project Report and the QAS Manual Handling Program Book, an understanding of their shortfalls in the prevention of musculoskeletal injuries was gained. This entails understanding the work tasks, workloads, strains and workflow of paramedics. This research creates a starting point for further research into musculoskeletal injuries in paramedics. This study specifically looks at hazards related to musculoskeletal disorders. It identifies work system deficiencies that contribute to the prevalence of musculoskeletal injuries, and possible interventions to avoid them in paramedics.

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Recently, efficient scheduling algorithms based on Lagrangian relaxation have been proposed for scheduling parallel machine systems and job shops. In this article, we develop real-world extensions to these scheduling methods. In the first part of the paper, we consider the problem of scheduling single operation jobs on parallel identical machines and extend the methodology to handle multiple classes of jobs, taking into account setup times and setup costs, The proposed methodology uses Lagrangian relaxation and simulated annealing in a hybrid framework, In the second part of the paper, we consider a Lagrangian relaxation based method for scheduling job shops and extend it to obtain a scheduling methodology for a real-world flexible manufacturing system with centralized material handling.

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The flow and heat transfer problem in the boundary layer induced by a continuous moving surface is important in many manufacturing processes in industry such as the boundary layer along material handling conveyers, the aerodynamic extrusion of plastic sheet, the cooling of an infinite metalic plate in a cooling bath (which may also be electrolyte). Glass blowing, continuous casting and spinning of fibres also involve the flow due to a stretching surface. Sakiadis [1] was the first to study the flow induced by a semi-infinite moving wall in an ambient fluid. On the other hand, Crane [2] first studied the flow over a linearly stretching sheet in an ambient fluid. Subsequently, Crane [3] also investigated the corresponding heat transfer problem. Since then several authors [4-8] have studied various aspects of this problem such as the effects of mass transfer, variable wall temperature, constant heat flux, magnetic field etc. Recently, Andersson [9] has obtained an exact solution of the Navier-Stokes equations for the MHD flow over a linearly stretching sheet in an ambient fluid. Also Chiam [10] has studied the heat transfer with variable thermal conductivity on a stretching sheet when the velocities of the sheet and the free stream are equal.

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The decision-making process for machine-tool selection and operation allocation in a flexible manufacturing system (FMS) usually involves multiple conflicting objectives. Thus, a fuzzy goal-programming model can be effectively applied to this decision problem. The paper addresses application of a fuzzy goal-programming concept to model the problem of machine-tool selection and operation allocation with explicit considerations given to objectives of minimizing the total cost of machining operation, material handling and set-up. The constraints pertaining to the capacity of machines, tool magazine and tool life are included in the model. A genetic algorithm (GA)-based approach is adopted to optimize this fuzzy goal-programming model. An illustrative example is provided and some results of computational experiments are reported.

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