959 resultados para Owner-manager
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This report describes a new approach to the problem of scheduling highway construction type projects. The technique can accurately model linear activities and identify the controlling activity path on a linear schedule. Current scheduling practices are unable to accomplish these two tasks with any accuracy for linear activities, leaving planners and manager suspicious of the information they provide. Basic linear scheduling is not a new technique, and many attempts have been made to apply it to various types of work in the past. However, the technique has never been widely used because of the lack of an analytical approach to activity relationships and development of an analytical approach to determining controlling activities. The Linear Scheduling Model (LSM) developed in this report, completes the linear scheduling technique by adding to linear scheduling all of the analytical capabilities, including computer applications, present in CPM scheduling today. The LSM has tremendous potential, and will likely have a significant impact on the way linear construction is scheduled in the future.
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The roman institution of the separatio bonorum is a pretorian remedy that relies on the principle of equity, created as to protect the deceased creditors and/or legatees. It provides them a"benefit" in the case of selling the goods of the heir-deubtor, enabling them to separate and reserve for themselves that whole patrimonium, as to avoid that by the act of selling, the heirs creditors could go to it; and like this they maintain intact their guarantee, which relies on the whole goods and assets left by the deceased. The separation of patrimonies implied the existence of 2 different groups of goods: that of the heirs" and that one of the deceased, which are not the same in legal terms, in spite of having a common owner at this point, the heir. This institution was regulated in the 6th title of the 42nd book of the Digesto, and in the 72th title, 7th book of the Justinean Code, and its interest is really high due to its material complexity and its procedure. The aim of this work is to analyze the institution of the separatio bonorum in Roman Law, and its importance in the same figure, actually regulated in the 4th book of the Catalan civil code.
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The bio-economic model "Heures" is a first attempt to develop a simulation procedure to understand the Northwestern Mediterranean fisheries, to evaluate management strategies and to analyze the feasibility of implementing an adaptative management. The model is built on the interaction among three boxes simulating the dynamics of each of the basic actors of a fishery: the stock, the market and the fishermen. A fourth actor, the manager, imposes or modifies the rules, or, in terms of the model, modifies some particular parameters. Thus, the model allows us to simulate and evaluate the mid-term biologic and economic effects of particular management measures. The bio-economic nature of the model is given by the interaction among the three boxes, by the market simulation and, particularly, by the fishermen behaviour. This last element confers to the model its Mediterranean"selfregulated" character. The fishermen allocate their investments to maximize fishing mortality but, having a legal effort limit, they invest in maintenance and technology in order to increase the catchability, which, as a consequence. will be function of the invested capital.
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This report is divided into two volumes. This volume (Volume I) summarizes a structural health monitoring (SHM) system that was developed for the Iowa DOT to remotely and continuously monitor fatigue critical bridges (FCB) to aid in the detection of crack formation. The developed FCB SHM system enables bridge owners to remotely monitor FCB for gradual or sudden damage formation. The SHM system utilizes fiber bragg grating (FBG) fiber optic sensors (FOSs) to measure strains at critical locations. The strain-based SHM system is trained with measured performance data to identify typical bridge response when subjected to ambient traffic loads, and that knowledge is used to evaluate newly collected data. At specified intervals, the SHM system autonomously generates evaluation reports that summarize the current behavior of the bridge. The evaluation reports are collected and distributed to the bridge owner for interpretation and decision making. Volume II summarizes the development and demonstration of an autonomous, continuous SHM system that can be used to monitor typical girder bridges. The developed SHM system can be grouped into two main categories: an office component and a field component. The office component is a structural analysis software program that can be used to generate thresholds which are used for identifying isolated events. The field component includes hardware and field monitoring software which performs data processing and evaluation. The hardware system consists of sensors, data acquisition equipment, and a communication system backbone. The field monitoring software has been developed such that, once started, it will operate autonomously with minimal user interaction. In general, the SHM system features two key uses. First, the system can be integrated into an active bridge management system that tracks usage and structural changes. Second, the system helps owners to identify damage and deterioration.
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This document was developed for the schools of Iowa to use as a template to enhance current school safety programs; the creation of this document was a partnered effort at the state level between the aforementioned agencies. The purpose of this document is to give school districts and individual schools a planning resource to use when creating their school safety plans. Ultimately, schools can decide how much of this document they would like to incorporate into their current plan. The original document was created by the Minnesota Department of Homeland Security, and its use was granted to Iowa Homeland Security in 2011. Iowa pulled together a panel of experts to make this document specific to Iowa’s schools, and laws. It’s important to note the partnership created by this document is intended to continue through information sharing in relation to critical assets, infrastructure protection, and school safety. Iowa Homeland Security is a representative in the Iowa Department of Public Safety, Division of Intelligence Fusion Center. This partnership allows for streamlined information sharing to the critical infrastructure owner/operators across the state. The current plan for information sharing is through the Iowa Homeland Security and Emergency Management, Threat information and Infrastructure Protection Program (TIIPP) to the Iowa Department of Education for processing and dissemination statewide. Depending on the type of information being released it could be specific to a school, district or the education sector statewide.
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La producció de biopolímers (polihidroxialcanoats (PHA) i substàncies polimèriques extracel·lulars (EPS)) a nivell industrial, resulta una nova àrea d’investigació que recull diverses disciplines, entre elles les Ciències Ambientals. Aquest projecte final de carrera amb el títol: “Producció de biopolímers amb cultius bacterians mixtes”, s’ha desenvolupat sota la supervisió de la directora de projecte Dra. María Eugenia Suárez Ojeda del Departament d’Enginyeria Química de la Universitat Autònoma de Barcelona (UAB) i s’ha dut a terme per l’estudiant Jordi Pérez i Forner de la Llicenciatura de Ciències Ambientals, Facultat de Ciències de la UAB, en el Departament d’Enginyeria Química de la mateixa universitat. L’objectiu d’aquest projecte ha estat produir biopolímers simultàniament amb l’eliminació de fòsfor i matèria orgànica en aigües residuals per obtenir un residu final amb un alt valor afegit. Aquests biopolímers reuneixen les característiques necessàries per a poder competir amb els plàstics convencionals i així, reduir l’elevat consum del petroli i la generació de residus no biodegradables. En aquest projecte s’ha dut a terme la posta en marxa d’un reactor discontinu seqüencial (SBR) per a l’acumulació de biopolímers amb cultius bacterians mixtes. Diferents investigadors han estudiat que aquests tipus de cultius bacterians arriben a nivells de fins el 53-97% [Pijuan et al., 2009] de contingut de biopolímers a la biomassa, sometent als microorganismes a diferents situacions d’estrés ja sigui per dèficit de nutrients o per variacions en les fases de feast-famine (festí-fam). Durant el projecte, s’ha realitzat el monitoratge del reactor alimentat amb una aigua sintètica, elaborada en el laboratori, amb les característiques d’un aigua residual provinent de la industria làctica. S’ha sotmès als microorganismes a diferents condicions operacionals, una d’elles amb limitació de fòsfor com a nutrient i una tercera condició amb una variació a les fases feast-famine. D’altra banda, com a segon objectiu, s’ha analitzat el contingut de biopolímers a la biomassa de dos SBRs més, del grup de recerca Bio-GLS del Departament d’Enginyeria Química de la UAB, alimentats amb diferents fonts de carboni, glicerol i àcids grassos de cadena llarga (AGCLL), per observar les influències que té el tipus de substrat en l’acumulació de biopolímers. Els resultats obtinguts en la primera part d’aquest projecte han estat similars als resultats d’altres investigadors [Pijuan et al., 2009; Guerrero et al., 2012]. S’ha determinat que sotmetre als microorganismes a situacions d’estrés té un efecte directe pel que fa a l’acumulació de biopolímers. També s’ha observat com al mateix temps que acumulaven aquests compostos, els microorganismes desenvolupaven la seva tasca de depurar l’aigua residual, obtenint al final del cicle una aigua amb un baix contingut en matèria orgànica i altres contaminants com amoni i fòsfor, en aquest cas. En la segona part del projecte, s’ha observat com el tipus de substrat té un efecte directe pel que fa a l’acumulació de biopolímers i també a l’activitat metabòlica dels microorganismes. Per tant, s’ha conclòs que la producció de biopolímers mitjançant la depuració d’aigües residuals es una via d’investigació molt prometedora pel que fa als resultats obtinguts. Alhora que es tracta un residu, s’obté una producte residual amb un alt valor afegit que pot ser utilitzat per la producció de bioplàstics 100% biodegradables.
Resumo:
Dans cette thèse, nous étudions les aspects comportementaux d'agents qui interagissent dans des systèmes de files d'attente à l'aide de modèles de simulation et de méthodologies expérimentales. Chaque période les clients doivent choisir un prestataire de servivce. L'objectif est d'analyser l'impact des décisions des clients et des prestataires sur la formation des files d'attente. Dans un premier cas nous considérons des clients ayant un certain degré d'aversion au risque. Sur la base de leur perception de l'attente moyenne et de la variabilité de cette attente, ils forment une estimation de la limite supérieure de l'attente chez chacun des prestataires. Chaque période, ils choisissent le prestataire pour lequel cette estimation est la plus basse. Nos résultats indiquent qu'il n'y a pas de relation monotone entre le degré d'aversion au risque et la performance globale. En effet, une population de clients ayant un degré d'aversion au risque intermédiaire encoure généralement une attente moyenne plus élevée qu'une population d'agents indifférents au risque ou très averses au risque. Ensuite, nous incorporons les décisions des prestataires en leur permettant d'ajuster leur capacité de service sur la base de leur perception de la fréquence moyenne d'arrivées. Les résultats montrent que le comportement des clients et les décisions des prestataires présentent une forte "dépendance au sentier". En outre, nous montrons que les décisions des prestataires font converger l'attente moyenne pondérée vers l'attente de référence du marché. Finalement, une expérience de laboratoire dans laquelle des sujets jouent le rôle de prestataire de service nous a permis de conclure que les délais d'installation et de démantèlement de capacité affectent de manière significative la performance et les décisions des sujets. En particulier, les décisions du prestataire, sont influencées par ses commandes en carnet, sa capacité de service actuellement disponible et les décisions d'ajustement de capacité qu'il a prises, mais pas encore implémentées. - Queuing is a fact of life that we witness daily. We all have had the experience of waiting in line for some reason and we also know that it is an annoying situation. As the adage says "time is money"; this is perhaps the best way of stating what queuing problems mean for customers. Human beings are not very tolerant, but they are even less so when having to wait in line for service. Banks, roads, post offices and restaurants are just some examples where people must wait for service. Studies of queuing phenomena have typically addressed the optimisation of performance measures (e.g. average waiting time, queue length and server utilisation rates) and the analysis of equilibrium solutions. The individual behaviour of the agents involved in queueing systems and their decision making process have received little attention. Although this work has been useful to improve the efficiency of many queueing systems, or to design new processes in social and physical systems, it has only provided us with a limited ability to explain the behaviour observed in many real queues. In this dissertation we differ from this traditional research by analysing how the agents involved in the system make decisions instead of focusing on optimising performance measures or analysing an equilibrium solution. This dissertation builds on and extends the framework proposed by van Ackere and Larsen (2004) and van Ackere et al. (2010). We focus on studying behavioural aspects in queueing systems and incorporate this still underdeveloped framework into the operations management field. In the first chapter of this thesis we provide a general introduction to the area, as well as an overview of the results. In Chapters 2 and 3, we use Cellular Automata (CA) to model service systems where captive interacting customers must decide each period which facility to join for service. They base this decision on their expectations of sojourn times. Each period, customers use new information (their most recent experience and that of their best performing neighbour) to form expectations of sojourn time at the different facilities. Customers update their expectations using an adaptive expectations process to combine their memory and their new information. We label "conservative" those customers who give more weight to their memory than to the xiv Summary new information. In contrast, when they give more weight to new information, we call them "reactive". In Chapter 2, we consider customers with different degree of risk-aversion who take into account uncertainty. They choose which facility to join based on an estimated upper-bound of the sojourn time which they compute using their perceptions of the average sojourn time and the level of uncertainty. We assume the same exogenous service capacity for all facilities, which remains constant throughout. We first analyse the collective behaviour generated by the customers' decisions. We show that the system achieves low weighted average sojourn times when the collective behaviour results in neighbourhoods of customers loyal to a facility and the customers are approximately equally split among all facilities. The lowest weighted average sojourn time is achieved when exactly the same number of customers patronises each facility, implying that they do not wish to switch facility. In this case, the system has achieved the Nash equilibrium. We show that there is a non-monotonic relationship between the degree of risk-aversion and system performance. Customers with an intermediate degree of riskaversion typically achieve higher sojourn times; in particular they rarely achieve the Nash equilibrium. Risk-neutral customers have the highest probability of achieving the Nash Equilibrium. Chapter 3 considers a service system similar to the previous one but with risk-neutral customers, and relaxes the assumption of exogenous service rates. In this sense, we model a queueing system with endogenous service rates by enabling managers to adjust the service capacity of the facilities. We assume that managers do so based on their perceptions of the arrival rates and use the same principle of adaptive expectations to model these perceptions. We consider service systems in which the managers' decisions take time to be implemented. Managers are characterised by a profile which is determined by the speed at which they update their perceptions, the speed at which they take decisions, and how coherent they are when accounting for their previous decisions still to be implemented when taking their next decision. We find that the managers' decisions exhibit a strong path-dependence: owing to the initial conditions of the model, the facilities of managers with identical profiles can evolve completely differently. In some cases the system becomes "locked-in" into a monopoly or duopoly situation. The competition between managers causes the weighted average sojourn time of the system to converge to the exogenous benchmark value which they use to estimate their desired capacity. Concerning the managers' profile, we found that the more conservative Summary xv a manager is regarding new information, the larger the market share his facility achieves. Additionally, the faster he takes decisions, the higher the probability that he achieves a monopoly position. In Chapter 4 we consider a one-server queueing system with non-captive customers. We carry out an experiment aimed at analysing the way human subjects, taking on the role of the manager, take decisions in a laboratory regarding the capacity of a service facility. We adapt the model proposed by van Ackere et al (2010). This model relaxes the assumption of a captive market and allows current customers to decide whether or not to use the facility. Additionally the facility also has potential customers who currently do not patronise it, but might consider doing so in the future. We identify three groups of subjects whose decisions cause similar behavioural patterns. These groups are labelled: gradual investors, lumpy investors, and random investor. Using an autocorrelation analysis of the subjects' decisions, we illustrate that these decisions are positively correlated to the decisions taken one period early. Subsequently we formulate a heuristic to model the decision rule considered by subjects in the laboratory. We found that this decision rule fits very well for those subjects who gradually adjust capacity, but it does not capture the behaviour of the subjects of the other two groups. In Chapter 5 we summarise the results and provide suggestions for further work. Our main contribution is the use of simulation and experimental methodologies to explain the collective behaviour generated by customers' and managers' decisions in queueing systems as well as the analysis of the individual behaviour of these agents. In this way, we differ from the typical literature related to queueing systems which focuses on optimising performance measures and the analysis of equilibrium solutions. Our work can be seen as a first step towards understanding the interaction between customer behaviour and the capacity adjustment process in queueing systems. This framework is still in its early stages and accordingly there is a large potential for further work that spans several research topics. Interesting extensions to this work include incorporating other characteristics of queueing systems which affect the customers' experience (e.g. balking, reneging and jockeying); providing customers and managers with additional information to take their decisions (e.g. service price, quality, customers' profile); analysing different decision rules and studying other characteristics which determine the profile of customers and managers.
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The orchestration of collaborative learning processes in face-to-facephysical settings, such as classrooms, requires teachers to coordinate students indicating them who belong to each group, which collaboration areas areassigned to each group, and how they should distribute the resources or roles within the group. In this paper we present an Orchestration Signal system,composed of wearable Personal Signal devices and an Orchestration Signal manager. Teachers can configure color signals in the manager so that they are transmitted to the wearable devices to indicate different orchestration aspects.In particular, the paper describes how the system has been used to carry out a Jigsaw collaborative learning flow in a classroom where students received signals indicating which documents they should read, in which group they were and in which area of the classroom they were expected to collaborate. The evaluation results show that the proposed system facilitates a dynamic, visual and flexible orchestration.
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Remote sensing was utilized in the Phase II Cultural Resources Investigation for this project in lieu of extensive excavations. The purpose of the present report is to compare the costs and benefits of the use of remote sensing to the hypothetical use of traditional excavation methods for this project. Estimates for this hypothetical situation are based on the project archaeologist's considerable past experience in conducting similar investigations. Only that part of the Phase II investigation involving field investigations is addressed in this report. Costs for literature review, laboratory analysis, report preparation, etc., are not included. The project manager proposed the use of this technique for the fol lowing logistic, safety and budgetary reasons.
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Information and telecommunication technologies are called to play a major role in the changes that healthcare systems have to face to cope with chronic disease. This paper reports a telemedicine experience for the home care of chronic patients suffering from chronic obstructive pulmonary disease (COPD) and an integrated system designed to carry out this experience. To determine the impact on health, the chronic care telemedicine system was used during one year (2002) with 157 COPD patients in a clinical experiment; endpoints were readmissions and mortality. Patients in the intervention group were followed up at their homes and could contact the care team at any time through the call center. The care team shared a unique electronic chronic patient record (ECPR) accessible through the web-based patient management module or the home visit units. Results suggest that integrated home telemedicine services can support health professionals caring for patients with chronic disease, and improve their health.We have found that simple telemedicine services (ubiquitous access to ECPR, ECPR shared by care team, accessibility to case manager, problem reporting integrated in ECPR) can increase the number of patients that were not readmitted (51% intervention, 33% control), are acceptable to professionals, and involve low installation and exploitation costs. Further research is needed to determine the role of telemonitoring and televisit services for this kind of patients.
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This article analyses different factors that influence the purchasing behaviour of online supermarket customers. These factors are related to both the appearance of the website as well as the processes that take place when making the purchase. Based on these analyses, the various groups of consumers with homogenous behaviour are studied and positioned according to their attitudes. The analysis also allows the quality of the service offered by this kind of establishment to be defined, as well as the main dimensions in which it develops. In the conclusions, factors which should influence the manager of an online supermarket to improve the quality of its service are given
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The Dickinson SWCD is applying for $486,800 over three years from the Watershed Improvement Fund to enhance water quality in Dickinson County through an impairment-based, locally directed watershed improvement project dealing specifically with storm water runoff. The LID Project will provide a cost share incentive and technical expertise to individual and business owners in specially targeted districts who are willing to implement low impact development techniques such as rain gardens, bioswales, pervious paving to reduce storm water runoff from their properties. Goals for the project include: 1) Defining and prioritizing urban watersheds in the Iowa Great Lakes region for implementation of Low Impact Development Practices; 2) Providing technical expertise in the form of a graduate assistant/project manager to design and oversee construction; 3) Continuing public education of such practices and their local existence through project kiosk, brochures, County Naturalist programs, local cable television shows, tours and other interactions of the Clean Water Alliance with its 50 partners in the area concerned about water quality; and 4) Completing 125 separate projects over a three year period.
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The Iowa Department of Homeland Security and Emergency Management (HSEMD) submits this enhanced 911 (E911) annual report to the Iowa General Assembly’s standing committees on government oversight pursuant to Iowa Code § 34A.7A (3) (a). This section of the Code requires the E911 program manager to advise the General Assembly of the status of E911 wireline and wireless implementation and operations, the distribution of surcharge receipts, and an accounting of revenue and expenses of the E911 program.
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The Iowa Department of Homeland Security and Emergency Management (HSEMD) submits this enhanced 911 (E911) annual report to the Iowa General Assembly’s standing committees on government oversight pursuant to Iowa Code § 34A.7A (3) (a). This section of the Code requires the E911 program manager to advise the General Assembly of the status of E911 wireline and wireless implementation and operations, the distribution of surcharge receipts, and an accounting of revenue and expenses of the E911 program.
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The final year project came to us as an opportunity to get involved in a topic which has appeared to be attractive during the learning process of majoring in economics: statistics and its application to the analysis of economic data, i.e. econometrics.Moreover, the combination of econometrics and computer science is a very hot topic nowadays, given the Information Technologies boom in the last decades and the consequent exponential increase in the amount of data collected and stored day by day. Data analysts able to deal with Big Data and to find useful results from it are verydemanded in these days and, according to our understanding, the work they do, although sometimes controversial in terms of ethics, is a clear source of value added both for private corporations and the public sector. For these reasons, the essence of this project is the study of a statistical instrument valid for the analysis of large datasets which is directly related to computer science: Partial Correlation Networks.The structure of the project has been determined by our objectives through the development of it. At first, the characteristics of the studied instrument are explained, from the basic ideas up to the features of the model behind it, with the final goal of presenting SPACE model as a tool for estimating interconnections in between elements in large data sets. Afterwards, an illustrated simulation is performed in order to show the power and efficiency of the model presented. And at last, the model is put into practice by analyzing a relatively large data set of real world data, with the objective of assessing whether the proposed statistical instrument is valid and useful when applied to a real multivariate time series. In short, our main goals are to present the model and evaluate if Partial Correlation Network Analysis is an effective, useful instrument and allows finding valuable results from Big Data.As a result, the findings all along this project suggest the Partial Correlation Estimation by Joint Sparse Regression Models approach presented by Peng et al. (2009) to work well under the assumption of sparsity of data. Moreover, partial correlation networks are shown to be a very valid tool to represent cross-sectional interconnections in between elements in large data sets.The scope of this project is however limited, as there are some sections in which deeper analysis would have been appropriate. Considering intertemporal connections in between elements, the choice of the tuning parameter lambda, or a deeper analysis of the results in the real data application are examples of aspects in which this project could be completed.To sum up, the analyzed statistical tool has been proved to be a very useful instrument to find relationships that connect the elements present in a large data set. And after all, partial correlation networks allow the owner of this set to observe and analyze the existing linkages that could have been omitted otherwise.