961 resultados para Lot-sizing and scheduling


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The Drivers Scheduling Problem (DSP) consists of selecting a set of duties for vehicle drivers, for example buses, trains, plane or boat drivers or pilots, for the transportation of passengers or goods. This is a complex problem because it involves several constraints related to labour and company rules and can also present different evaluation criteria and objectives. Being able to develop an adequate model for this problem that can represent the real problem as close as possible is an important research area.The main objective of this research work is to present new mathematical models to the DSP problem that represent all the complexity of the drivers scheduling problem, and also demonstrate that the solutions of these models can be easily implemented in real situations. This issue has been recognized by several authors and as important problem in Public Transportation. The most well-known and general formulation for the DSP is a Set Partition/Set Covering Model (SPP/SCP). However, to a large extend these models simplify some of the specific business aspects and issues of real problems. This makes it difficult to use these models as automatic planning systems because the schedules obtained must be modified manually to be implemented in real situations. Based on extensive passenger transportation experience in bus companies in Portugal, we propose new alternative models to formulate the DSP problem. These models are also based on Set Partitioning/Covering Models; however, they take into account the bus operator issues and the perspective opinions and environment of the user.We follow the steps of the Operations Research Methodology which consist of: Identify the Problem; Understand the System; Formulate a Mathematical Model; Verify the Model; Select the Best Alternative; Present the Results of theAnalysis and Implement and Evaluate. All the processes are done with close participation and involvement of the final users from different transportation companies. The planner s opinion and main criticisms are used to improve the proposed model in a continuous enrichment process. The final objective is to have a model that can be incorporated into an information system to be used as an automatic tool to produce driver schedules. Therefore, the criteria for evaluating the models is the capacity to generate real and useful schedules that can be implemented without many manual adjustments or modifications. We have considered the following as measures of the quality of the model: simplicity, solution quality and applicability. We tested the alternative models with a set of real data obtained from several different transportation companies and analyzed the optimal schedules obtained with respect to the applicability of the solution to the real situation. To do this, the schedules were analyzed by the planners to determine their quality and applicability. The main result of this work is the proposition of new mathematical models for the DSP that better represent the realities of the passenger transportation operators and lead to better schedules that can be implemented directly in real situations.

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The economic literature on crime and punishment focuses on the trade-off between probability and severity of punishment, and suggests that detection probability and fines are substitutes. In this paper it is shown that, in presence of substantial underdeterrence caused by costly detection and punishment, these instruments may become complements. When offenders are poor, the deterrent value of monetary sanctions is low. Thus, the government does not invest a lot in detection. If offenders are rich, however, the deterrent value of monetary sanctions is high, so it is more profitable to prosecute them.

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We develop a mathematical programming approach for the classicalPSPACE - hard restless bandit problem in stochastic optimization.We introduce a hierarchy of n (where n is the number of bandits)increasingly stronger linear programming relaxations, the lastof which is exact and corresponds to the (exponential size)formulation of the problem as a Markov decision chain, while theother relaxations provide bounds and are efficiently computed. Wealso propose a priority-index heuristic scheduling policy fromthe solution to the first-order relaxation, where the indices aredefined in terms of optimal dual variables. In this way wepropose a policy and a suboptimality guarantee. We report resultsof computational experiments that suggest that the proposedheuristic policy is nearly optimal. Moreover, the second-orderrelaxation is found to provide strong bounds on the optimalvalue.

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This paper presents a simple Optimised Search Heuristic for the Job Shop Scheduling problem that combines a GRASP heuristic with a branch-and-bound algorithm. The proposed method is compared with similar approaches and leads to better results in terms of solution quality and computing times.

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We present new metaheuristics for solving real crew scheduling problemsin a public transportation bus company. Since the crews of thesecompanies are drivers, we will designate the problem by the bus-driverscheduling problem. Crew scheduling problems are well known and severalmathematical programming based techniques have been proposed to solvethem, in particular using the set-covering formulation. However, inpractice, there exists the need for improvement in terms of computationalefficiency and capacity of solving large-scale instances. Moreover, thereal bus-driver scheduling problems that we consider can present variantaspects of the set covering, as for example a different objectivefunction, implying that alternative solutions methods have to bedeveloped. We propose metaheuristics based on the following approaches:GRASP (greedy randomized adaptive search procedure), tabu search andgenetic algorithms. These metaheuristics also present some innovationfeatures based on and genetic algorithms. These metaheuristics alsopresent some innovation features based on the structure of the crewscheduling problem, that guide the search efficiently and able them tofind good solutions. Some of these new features can also be applied inthe development of heuristics to other combinatorial optimizationproblems. A summary of computational results with real-data problems ispresented.

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PRECON S.A is a manufacturing company dedicated to produce prefabricatedconcrete parts to several industries as rail transportation andagricultural industries.Recently, PRECON signed a contract with RENFE,the Spanish Nnational Rail Transportation Company to manufacturepre-stressed concrete sleepers for siding of the new railways of the highspeed train AVE. The scheduling problem associated with the manufacturingprocess of the sleepers is very complex since it involves severalconstraints and objectives. The constraints are related with productioncapacity, the quantity of available moulds, satisfying demand and otheroperational constraints. The two main objectives are related withmaximizing the usage of the manufacturing resources and minimizing themoulds movements. We developed a deterministic crowding genetic algorithmfor this multiobjective problem. The algorithm has proved to be a powerfuland flexible tool to solve the large-scale instance of this complex realscheduling problem.

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Like most motorists, you want your trips to go as quickly and smoothly as possible. Things like having to wait at a railroad crossing while the train crosses, or having to slow for a rough railroad crossing may seem like an inconvenience. But, when you look at the overall picture, you will find there are many things that affect your trips: heavy traffic, including large trucks, on the interstates; congestion on urban freeways; a lot of pedestrian traffic at crosswalks; a bus stopped on the street while passengers are boarding or exiting; slow-moving farm equipment or bicyclists on a rural road; or any number of other disruptions. The reality is that Iowa’s transportation system is extremely complex. Iowa has many diverse transportation users and all types of vehicles traveling at differing speeds.

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RESUME Le diabète de type 1 se définit comme un désordre métabolique d'origine auto-immune qui aboutit à la destruction progressive et sélective de la cellule ß-pancréatique sécrétrice d'insuline. Cette maladie représente 10 % des cas de diabète enregistrés dans la population mondiale, et touche les jeunes de moins de 20 ans. Le traitement médical par insulinothérapie corrige le manque d'hormone mais ne prévient pas les nombreuses complications telles que les atteintes cardiaques, neurologiques, rénales, rétiniennes, et les amputations que la maladie provoque. Le remplacement de la cellule ß par transplantation d'îlots de Langerhans est une alternative prometteuse au traitement médical du diabète de type 1. Cependant la greffe d'îlots est encore un traitement expérimental et ne permet pas un contrôle efficace de la glycémie au long terme chez les patients transplantés, et les raisons de cet échec restent mal comprises. L'obstacle immédiat qui se pose est la purification d'un nombre suffisant d'îlots viables et la perte massive de ces îlots dans les premières heures suite à la greffe. Cette tendance presque systématique de la perte fonctionnelle du greffon immédiatement après la transplantation est connue sous le terme de « primary graft non-function » (PNF). En effet, la procédure d'isolement des îlots provoque la destruction des composantes cellulaires et non cellulaires du tissu pancréatique qui jouent un rôle déterminant dans le processus de survie de l'îlot. De plus, la transplantation elle-même expose les cellules à différents stress, notamment le stress par les cytokines inflammatoires qui encourage la mort cellulaire par apoptose et provoque par la suite le rejet de la greffe. L'ensemble de ces mécanismes aboutit a une perte de la masse d'îlot estimée a plus de 60%. Dans ce contexte, nous nous sommes intéressés à définir les voies majeures de stress qui régissent cette perte massive d'îlot par apoptose lors du processus d'isolement et suite à l'exposition immédiate aux cytokines. L'ensemble des résultats obtenus indique que plusieurs voies de signalisation intracellulaire sont recrutées qui s'activent de manière maximale très tôt lors des premières phases de l'isolement. La mise en culture des îlots deux jours permet aux voies activées de revenir aux taux de base. De ce fait nous proposons une stratégie dite de protection qui doit être 1) initiée aussitôt que possible lors de l'isolement des îlots pancréatiques, 2) devrait probablement bloquer l'activation de ces différentes voies de stress mis en évidence lors de notre étude et 3) devrait inclure la mise en culture des îlots purifiés deux jours après l'isolement et avant la transplantation. RESUME LARGE PUBLIC Le diabète est une maladie qui entraîne un taux anormalement élevé de sucre (glucose) dans le sang du à une insuffisance du pancréas endocrine à produire de l'insuline, une hormone qui régule la glycémie (taux de glucose dans le sang). On distingue deux types majeurs de diabètes; le diabète de type 1 ou juvénile ou encore appelé diabète maigre qui se manifeste souvent pendant l'enfance et qui se traduit par une déficience absolue en insuline. Le diabète de type 2 ou diabète gras est le plus fréquent, et touche les sujets de plus de 40 ans qui souffrent d'obésité et qui se traduit par une dysfonction de la cellule ß avec une incapacité à réguler la glycémie malgré la production d'insuline. Dans le diabète de type 1, la destruction de la cellule ß est programmée (apoptose) et est majoritairement provoquée par des médiateurs inflammatoires appelés cytokines qui sont produites localement par des cellules inflammatoires du système immunitaire qui envahissent la cellule ß-pancréatiques. Les cytokines activent différentes voies de signalisation parmi lesquelles on distingue celles des Mitogen-Activated Protein Kinase (MAPKs) composées de trois familles de MAPKs: ERK1/2, p38, et JNK, et la voie NF-κB. Le traitement médical par injections quotidiennes d'insuline permet de contrôler la glycémie mais ne prévient pas les nombreuses complications secondaires liées à cette maladie. La greffe d'îlots de Langerhans est une alternative possible au traitement médical, considérée avantageuse comparée a la greffe du pancréas entier. En effet l'embolisation d'îlots dans le foie par injection intraportale constitue une intervention simple sans complications majeures. Néanmoins la technique de préparation d'îlots altère la fonction endocrine et cause la perte massive d'îlots pancréatiques. De plus, la transplantation elle-même expose la cellule ß à différents stress, notamment le stress par les cytokines inflammatoires qui provoque le rejet de greffon cellulaire. Dans la perspective d'augmenter les rendements des îlots purifiés, nous nous sommes intéressés à définir les voies majeures de stress qui régissent cette perte massive d'îlot lors du processus d'isolement et suite à l'exposition immédiate aux cytokines après transplantation. L'ensemble de ces résultats indique que le stress induit lors de l'isolement des îlots et celui des cytokines recrute différentes voies de signalisation intracellulaire (JNK, p38 et NF-κB) qui s'additionnent entre-elles pour altérer la fonction et la viabilité de l'îlot. De ce fait une stratégie doit être mise en place pour bloquer toute action synergique entre ces différentes voies activées pour améliorer la viabilité et la fonction de la cellule ß lors du greffon cellulaire. SUMMARY Type 1 diabetes mellitus (T1DM) is an autoimmune disease characterized by the progressive and selective destruction of the pancreatic ß-cells that secrete insulin, leading to absolute insulin deficiency. T1DM accounts for about 10% of all diabetes cases, affecting persons younger than 20 years of age. Medical treatment using daily exogenous insulin injection corrects hormone deficiency but does not prevent devastating complications such as heart attack, neuropathy, kidney failure, blindness, and amputation caused by the disease. Pancreatic islet transplantation (PIT) is one strategy that holds promise to cure patients with T1DM, but purified pancreatic islet grafts have failed to maintain long-term glucose homeostasis in human recipients, the reasons for this failure being still poorly understood. There is however a more immediate problem with islet grafting that is dependent upon poor islet recovery from donors and early islet loss following the first hours of grafting. This tendency of islet grafts to fail to function within a short period after transplantation is termed primary graft non-function (PNF). Indeed, the islet isolation procedure itself destroys cellular and non-cellular components of the pancreas that may play a role in supporting islet survival. Further, islet transplantation exposes cells to a variety of stressful stimuli, notably pro-inflammatory cytokines that encourage ß-cell death by apoptosis and lead to early graft failure. Altogether these mechanisms lead to an estimated loss of 60% of the total islet mass. Here, we have mapped the major intracellular stress signaling pathways that may mediate human islet loss by apoptosis during isolation and following cytokine attack. We found that several stress pathways are maximally activated from the earliest stages of the isolation procedure. Culturing islet for two days allow for the activated pathways to return to basal levels. We propose that protective strategies should 1) be initiated as early as possible during isolation of the islets, 2) should probably target the activated stress pathways that we uncovered during our studies and 3) should include culturing islets for two days post-isolation and prior transplantation.

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OBJECTIVE. Data on human natality, stillbirth and perinatal mortality from Switzerland (1979-1987), available in four birthweight categories, are reexamined to assess any about-weekly (circaseptan) and changes in about-daily (circadian) patterns in central Europe over a century and a halfDESIGN. Retrospective analyses on archived data.SETTING. Federal Office of Statistics for Switzerland.RESULTS. In addition to prominent circadians, weekly patterns are also documented.CONCLUSION. Exogenous variations, prominent in early extrauterine life, such as changes of scheduling in obstetrics, may contribute to circadian and cireaseptan natality patterns. Information on these patterns serves in the optimization of neonatal care. Partly endogenous, partly physical environmental aspects, at least of about-weekly patterns, remain to be elucidated in series consisting exclusively of spontaneous parturitions.

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Dispersed information on water retention and availability in soils may be compiled in databases to generate pedotransfer functions. The objectives of this study were: to generate pedotransfer functions to estimate soil water retention based on easily measurable soil properties; to evaluate the efficiency of existing pedotransfer functions for different geographical regions for the estimation of water retention in soils of Rio Grande do Sul (RS); and to estimate plant-available water capacity based on soil particle-size distribution. Two databases were set up for soil properties, including water retention: one based on literature data (725 entries) and the other with soil data from an irrigation scheduling and management system (239 entries). From the literature database, pedotransfer functions were generated, nine pedofunctions available in the literature were evaluated and the plant-available water capacity was calculated. The coefficient of determination of some pedotransfer functions ranged from 0.56 to 0.66. Pedotransfer functions generated based on soils from other regions were not appropriate for estimating the water retention for RS soils. The plant-available water content varied with soil texture classes, from 0.089 kg kg-1 for the sand class to 0.191 kg kg-1 for the silty clay class. These variations were more related to sand and silt than to clay content. The soils with a greater silt/clay ratio, which were less weathered and with a greater quantity of smectite clay minerals, had high water retention and plant-available water capacity.

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A lot of research in cognition and decision making suffers from a lack of formalism. The quantum probability program could help to improve this situation, but we wonder whether it would provide even more added value if its presumed focus on outcome models were complemented by process models that are, ideally, informed by ecological analyses and integrated into cognitive architectures.

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BACKGROUND: Human speech is greatly influenced by the speakers' affective state, such as sadness, happiness, grief, guilt, fear, anger, aggression, faintheartedness, shame, sexual arousal, love, amongst others. Attentive listeners discover a lot about the affective state of their dialog partners with no great effort, and without having to talk about it explicitly during a conversation or on the phone. On the other hand, speech dysfunctions, such as slow, delayed or monotonous speech, are prominent features of affective disorders. METHODS: This project was comprised of four studies with healthy volunteers from Bristol (English: n = 117), Lausanne (French: n = 128), Zurich (German: n = 208), and Valencia (Spanish: n = 124). All samples were stratified according to gender, age, and education. The specific study design with different types of spoken text along with repeated assessments at 14-day intervals allowed us to estimate the 'natural' variation of speech parameters over time, and to analyze the sensitivity of speech parameters with respect to form and content of spoken text. Additionally, our project included a longitudinal self-assessment study with university students from Zurich (n = 18) and unemployed adults from Valencia (n = 18) in order to test the feasibility of the speech analysis method in home environments. RESULTS: The normative data showed that speaking behavior and voice sound characteristics can be quantified in a reproducible and language-independent way. The high resolution of the method was verified by a computerized assignment of speech parameter patterns to languages at a success rate of 90%, while the correct assignment to texts was 70%. In the longitudinal self-assessment study we calculated individual 'baselines' for each test person along with deviations thereof. The significance of such deviations was assessed through the normative reference data. CONCLUSIONS: Our data provided gender-, age-, and language-specific thresholds that allow one to reliably distinguish between 'natural fluctuations' and 'significant changes'. The longitudinal self-assessment study with repeated assessments at 1-day intervals over 14 days demonstrated the feasibility and efficiency of the speech analysis method in home environments, thus clearing the way to a broader range of applications in psychiatry. © 2014 S. Karger AG, Basel.

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Production flow analysis (PFA) is a well-established methodology used for transforming traditional functional layout into product-oriented layout. The method uses part routings to find natural clusters of workstations forming production cells able to complete parts and components swiftly with simplified material flow. Once implemented, the scheduling system is based on period batch control aiming to establish fixed planning, production and delivery cycles for the whole production unit. PFA is traditionally applied to job-shops with functional layouts, and after reorganization within groups lead times reduce, quality improves and motivation among personnel improves. Several papers have documented this, yet no research has studied its application to service operations management. This paper aims to show that PFA can well be applied not only to job-shop and assembly operations, but also to back-office and service processes with real cases. The cases clearly show that PFA reduces non-value adding operations, introduces flow by evening out bottlenecks and diminishes process variability, all of which contribute to efficient operations management.

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Résumé La structure, ou l'architecture, des êtres vivants définit le cadre dans lequel la physique de la vie s'accomplit. La connaissance de cette structure dans ses moindres détails est un but essentiel de la biologie. Son étude est toutefois entravée par des limitations techniques. Malgré son potentiel théorique, la microscopie électronique n'atteint pas une résolution atomique lorsqu'elle est appliquée ä la matièxe biologique. Cela est dû en grande partie au fait qu'elle contient beaucoup d'eau qui ne résiste pas au vide du microscope. Elle doit donc être déshydratée avant d'être introduite dans un microscope conventionnel. Des artéfacts d'agrégation en découlent inévitablement. La cryo-microscopie électronique des sections vitreuses (CEMOVIS) a ëté développée afin de résoudre cela. Les spécimens sont vitrifiés, c.-à-d. que leur eau est immobilisée sans cristalliser par le froid. Ils sont ensuite coupés en sections ultrafines et celles-ci sont observées à basse température. Les spécimens sont donc observés sous forme hydratée et non fixée; ils sont proches de leur état natif. Durant longtemps, CEMOVIS était très difficile à exécuter mais ce n'est plus le cas. Durant cette thèse, CEMOVIS a été appliqué à différents spécimens. La synapse du système nerveux central a été étudiée. La présence dans la fente synaptique d'une forte densité de molécules organisées de manière périodique a été démontrée. Des particules luminales ont été trouvées dans Ies microtubules cérébraux. Les microtubules ont servi d'objets-test et ont permis de démontrer que des détails moléculaires de l'ordre du nm sont préservés. La compréhension de la structure de l'enveloppe cellulaire des bactéries Grampositives aété améliorée. Nos observations ont abouti à l'élaboration d'un nouveau modèle hypothétique de la synthèse de la paroi. Nous avons aussi focalisé notre attention sur le nucléoïde bactérien et cela a suscité un modèle de la fonction des différents états structuraux du nucléoïde. En conclusion, cette thèse a démontré que CEMOVIS est une excellente méthode poux étudier la structure d'échantillons biologiques à haute résolution. L'étude de la structure de divers aspects des êtres vivants a évoqué des hypothèses quant à la compréhension de leur fonctionnement. Summary The structure, or the architecture, of living beings defines the framework in which the physics of life takes place. Understanding it in its finest details is an essential goal of biology. Its study is however hampered by technical limitations. Despite its theoretical potential, electron microscopy cannot resolve individual atoms in biological matter. This is in great part due to the fact. that it contains a lot of water that cannot stand the vacuum of the microscope. It must therefore be dehydrated before being introduced in a conventional mìcroscope. Aggregation artefacts unavoidably happen. Cryo-electron microscopy of vitreous sections (CEMOVIS) has been developed to solve this problem. Specimens are vitrified, i.e. they are rapidly cooled and their water is immobilised without crystallising by the cold. They are then. sectioned in ultrathin slices, which are observed at low temperatures. Specimens are therefore observed in hydrated and unfixed form; they are close to their native state. For a long time, CEMOVIS was extremely tedious but this is not the case anymore. During this thesis, CEMOVIS was applied to different specimens. Synapse of central nervous system was studied. A high density of periodically-organised molecules was shown in the synaptic cleft. Luminal particles were found in brain microtubules. Microtubules, used as test specimen, permitted to demonstrate that molecular details of the order of nm .are preserved. The understanding of the structure of cell envelope of Gram-positive bacteria was improved. Our observations led to the elaboration of a new hypothetic model of cell wall synthesis. We also focused our attention on bacterial nucleoids and this also gave rise to a functional model of nucleoid structural states. In conclusion, this thesis demonstrated that CEMOVIS is an excellent method for studying the structure of bìologìcal specimens at high resolution. The study of the structure of various aspects of living beings evoked hypothesis for their functioning.

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Naturalistic driving studies are the latest resource for gathering data associated with driver behavior. The University of Iowa has been studying teen driving using naturalistic methods since 2006. By instrumenting teen drivers’ vehicles with event-triggered video recorders (ETVR), we are able to record a 12-second video clip every time a vehicle exceeds a pre-set g-force threshold. Each of these video clips contains valuable data regarding the frequency and types of distractions present in vehicles driven by today’s young drivers. The 16-year old drivers who participated in the study had a distraction present in nearly half of the events that were captured. While a lot of attention has been given to the distractions associated with technology in the vehicle (cell phones, navigation devices, entertainment systems, etc.), the most frequent type of distraction coded was the presence of teen passengers engaging in conversation (45%). Cognitive distractions, such as singing along with the radio, were the second most common distraction. Cell phone use was the third most common distraction, detected in only 10% of the events containing distraction.