About the origin of low wafer performance and crystal defect generation on seed-cast growth of industrial mono-like silicon ingots

The era of the seed-cast grown monocrystalline-based silicon ingots is coming. Mono-like, pseudomono or quasimono wafers are product labels that can be nowadays found in the market, as a critical innovation for the photovoltaic industry. They integrate some of the most favorable features of the conventional silicon substrates for solar cells, so far, such as the high solar cell efficiency offered by the monocrystalline Czochralski-Si (Cz-Si) wafers and the lower cost, high productivity and full square-shape that characterize the well-known multicrystalline casting growth method. Nevertheless, this innovative crystal growth approach still faces a number of mass scale problems that need to be resolved, in order to gain a deep, 100% reliable and worldwide market: (i) extended defects formation during the growth process; (ii) optimization of the seed recycling; and (iii) parts of the ingots giving low solar cells performance, which directly affect the production costs and yield of this approach. Therefore, this paper presents a series of casting crystal growth experiments and characterization studies from ingots, wafers and cells manufactured in an industrial approach, showing the main sources of crystal defect formation, impurity enrichment and potential consequences at solar cell level. The previously mentioned technological drawbacks are directly addressed, proposing industrial actions to pave the way of this new wafer technology to high efficiency solar cells.

Descriptive study of production factors affecting performance traits in growing-finishing pgis in Spain.

The objective of this study was to build up a data set including productive performance and production factors data of growing-finishing (GF) pigs in Spain in order to perform a representative and reliable description of the traits of Spanish growing-finishing pig industry. Data from 764 batches from 452 farms belonging to nine companies (1,157,212 pigs) were collected between 2008 and 2010 through a survey including five parts: general, facilities, feeding, health status and performance. Most studied farms had only GF pigs on their facilities (94.7%), produced ‘industrial’ pigs (86.7%), had entire male and female (59.5%) and Pietrain-sired pigs (70.0%), housed between 13-20 pigs per pen (87.2%), had  50% of slatted floor (70%), single-space dry feeder (54.0%), nipple drinker (88.7%) and automatic ventilation systems (71.2%). A 75.0% of the farms used three feeding phases using mainly pelleted diets (91.0%), 61.3% performed three or more antibiotic treatments and 36.5% obtained water from the public supply. Continuous variables studied had the following average values: number of pigs placed per batch, 1,515 pigs; initial and final body weight, 19.0 and 108 kg; length of GF period, 136 days; culling rate, 1.4%; barn occupation, 99.7%; feed intake per pig and fattening cycle, 244 kg; daily gain, 0.657 kg; feed conversion ratio, 2.77 kg kg-1 and mortality rate, 4.3%. Data reflecting the practical situation of the Spanish growing and finishing pig production and it may contribute to develop new strategies in order to improve the productive and economic efficiency of GF pig units.

Wireless Sensor Network Solution for Sustainable Food Production

Environmental monitoring has become a key aspect in food production over the last few years. Due to their low cost, low power consumption and flexibility, Wireless Sensor Networks (WSNs) have turned up as a very convenient tool to be used in these environments where no intrusion is a must. In this work, a WSN application in a food factory is presented. The paper gives an overview of the system set up, covering from the initial study of the parameters and sensors, to the hardware-software design and development needed for the final tests in the factory facilities.

Coordination mechanisms and software in industrial networks - a literature review

This paper groups recent supply chain management research focused on organizational design and its software support. The classification encompasses criteria related to research methodology and content. Empirical studies from management science focus on network types and organizational fit. Novel planning algorithms and innovative coordination schemes are developed mostly in the field of operations research in order to propose new software features. Operations and production management realize cost-benefit analysis of IT software implementations. The success of software solutions for network coordination depends strongly on the fit of three dimensions: network configuration, coordination scheme and software functionality. This paper concludes with proposals for future research on unaddressed issues within and among the identified research streams.

Utilizing the Internet of Things to promote energy awareness and efficiency at discrete production processes: Practices and methodology

El actual contexto de fabricación, con incrementos en los precios de la energía, una creciente preocupación medioambiental y cambios continuos en los comportamientos de los consumidores, fomenta que los responsables prioricen la fabricación respetuosa con el medioambiente. El paradigma del Internet de las Cosas (IoT) promete incrementar la visibilidad y la atención prestada al consumo de energía gracias tanto a sensores como a medidores inteligentes en los niveles de máquina y de línea de producción. En consecuencia es posible y sencillo obtener datos de consumo de energía en tiempo real proveniente de los procesos de fabricación, pero además es posible analizarlos para incrementar su importancia en la toma de decisiones. Esta tesis pretende investigar cómo utilizar la adopción del Internet de las Cosas en el nivel de planta de producción, en procesos discretos, para incrementar la capacidad de uso de la información proveniente tanto de la energía como de la eficiencia energética. Para alcanzar este objetivo general, la investigación se ha dividido en cuatro sub-objetivos y la misma se ha desarrollado a lo largo de cuatro fases principales (en adelante estudios). El primer estudio de esta tesis, que se apoya sobre una revisión bibliográfica comprehensiva y sobre las aportaciones de expertos, define prácticas de gestión de la producción que son energéticamente eficientes y que se apoyan de un modo preeminente en la tecnología IoT. Este primer estudio también detalla los beneficios esperables al adoptar estas prácticas de gestión. Además, propugna un marco de referencia para permitir la integración de los datos que sobre el consumo energético se obtienen en el marco de las plataformas y sistemas de información de la compañía. Esto se lleva a cabo con el objetivo último de remarcar cómo estos datos pueden ser utilizados para apalancar decisiones en los niveles de procesos tanto tácticos como operativos. Segundo, considerando los precios de la energía como variables en el mercado intradiario y la disponibilidad de información detallada sobre el estado de las máquinas desde el punto de vista de consumo energético, el segundo estudio propone un modelo matemático para minimizar los costes del consumo de energía para la programación de asignaciones de una única máquina que deba atender a varios procesos de producción. Este modelo permite la toma de decisiones en el nivel de máquina para determinar los instantes de lanzamiento de cada trabajo de producción, los tiempos muertos, cuándo la máquina debe ser puesta en un estado de apagada, el momento adecuado para rearrancar, y para pararse, etc. Así, este modelo habilita al responsable de producción de implementar el esquema de producción menos costoso para cada turno de producción. En el tercer estudio esta investigación proporciona una metodología para ayudar a los responsables a implementar IoT en el nivel de los sistemas productivos. Se incluye un análisis del estado en que se encuentran los sistemas de gestión de energía y de producción en la factoría, así como también se proporcionan recomendaciones sobre procedimientos para implementar IoT para capturar y analizar los datos de consumo. Esta metodología ha sido validada en un estudio piloto, donde algunos indicadores clave de rendimiento (KPIs) han sido empleados para determinar la eficiencia energética. En el cuarto estudio el objetivo es introducir una vía para obtener visibilidad y relevancia a diferentes niveles de la energía consumida en los procesos de producción. El método propuesto permite que las factorías con procesos de producción discretos puedan determinar la energía consumida, el CO2 emitido o el coste de la energía consumida ya sea en cualquiera de los niveles: operación, producto o la orden de fabricación completa, siempre considerando las diferentes fuentes de energía y las fluctuaciones en los precios de la misma. Los resultados muestran que decisiones y prácticas de gestión para conseguir sistemas de producción energéticamente eficientes son posibles en virtud del Internet de las Cosas. También, con los resultados de esta tesis los responsables de la gestión energética en las compañías pueden plantearse una aproximación a la utilización del IoT desde un punto de vista de la obtención de beneficios, abordando aquellas prácticas de gestión energética que se encuentran más próximas al nivel de madurez de la factoría, a sus objetivos, al tipo de producción que desarrolla, etc. Así mismo esta tesis muestra que es posible obtener reducciones significativas de coste simplemente evitando los períodos de pico diario en el precio de la misma. Además la tesis permite identificar cómo el nivel de monitorización del consumo energético (es decir al nivel de máquina), el intervalo temporal, y el nivel del análisis de los datos son factores determinantes a la hora de localizar oportunidades para mejorar la eficiencia energética. Adicionalmente, la integración de datos de consumo energético en tiempo real con datos de producción (cuando existen altos niveles de estandarización en los procesos productivos y sus datos) es esencial para permitir que las factorías detallen la energía efectivamente consumida, su coste y CO2 emitido durante la producción de un producto o componente. Esto permite obtener una valiosa información a los gestores en el nivel decisor de la factoría así como a los consumidores y reguladores. ABSTRACT In today‘s manufacturing scenario, rising energy prices, increasing ecological awareness, and changing consumer behaviors are driving decision makers to prioritize green manufacturing. The Internet of Things (IoT) paradigm promises to increase the visibility and awareness of energy consumption, thanks to smart sensors and smart meters at the machine and production line level. Consequently, real-time energy consumption data from the manufacturing processes can be easily collected and then analyzed, to improve energy-aware decision-making. This thesis aims to investigate how to utilize the adoption of the Internet of Things at shop floor level to increase energy–awareness and the energy efficiency of discrete production processes. In order to achieve the main research goal, the research is divided into four sub-objectives, and is accomplished during four main phases (i.e., studies). In the first study, by relying on a comprehensive literature review and on experts‘ insights, the thesis defines energy-efficient production management practices that are enhanced and enabled by IoT technology. The first study also explains the benefits that can be obtained by adopting such management practices. Furthermore, it presents a framework to support the integration of gathered energy data into a company‘s information technology tools and platforms, which is done with the ultimate goal of highlighting how operational and tactical decision-making processes could leverage such data in order to improve energy efficiency. Considering the variable energy prices in one day, along with the availability of detailed machine status energy data, the second study proposes a mathematical model to minimize energy consumption costs for single machine production scheduling during production processes. This model works by making decisions at the machine level to determine the launch times for job processing, idle time, when the machine must be shut down, ―turning on‖ time, and ―turning off‖ time. This model enables the operations manager to implement the least expensive production schedule during a production shift. In the third study, the research provides a methodology to help managers implement the IoT at the production system level; it includes an analysis of current energy management and production systems at the factory, and recommends procedures for implementing the IoT to collect and analyze energy data. The methodology has been validated by a pilot study, where energy KPIs have been used to evaluate energy efficiency. In the fourth study, the goal is to introduce a way to achieve multi-level awareness of the energy consumed during production processes. The proposed method enables discrete factories to specify energy consumption, CO2 emissions, and the cost of the energy consumed at operation, production and order levels, while considering energy sources and fluctuations in energy prices. The results show that energy-efficient production management practices and decisions can be enhanced and enabled by the IoT. With the outcomes of the thesis, energy managers can approach the IoT adoption in a benefit-driven way, by addressing energy management practices that are close to the maturity level of the factory, target, production type, etc. The thesis also shows that significant reductions in energy costs can be achieved by avoiding high-energy price periods in a day. Furthermore, the thesis determines the level of monitoring energy consumption (i.e., machine level), the interval time, and the level of energy data analysis, which are all important factors involved in finding opportunities to improve energy efficiency. Eventually, integrating real-time energy data with production data (when there are high levels of production process standardization data) is essential to enable factories to specify the amount and cost of energy consumed, as well as the CO2 emitted while producing a product, providing valuable information to decision makers at the factory level as well as to consumers and regulators.

Loose Coupling Based Reference Scheme for Shop Floor-Control-System/Production-Equipment Integration.

Acoplamiento del sistema informático de control de piso de producción (SFS) con el conjunto de equipos de fabricación (SPE) es una tarea compleja. Tal acoplamiento involucra estándares abiertos y propietarios, tecnologías de información y comunicación, entre otras herramientas y técnicas. Debido a la turbulencia de mercados, ya sea soluciones personalizadas o soluciones basadas en estándares eventualmente requieren un esfuerzo considerable de adaptación. El concepto de acoplamiento débil ha sido identificado en la comunidad de diseño organizacional como soporte para la sobrevivencia de la organización. Su presencia reduce la resistencia de la organización a cambios en el ambiente. En este artículo los resultados obtenidos por la comunidad de diseño organizacional son identificados, traducidos y organizados para apoyar en la solución del problema de integración SFS-SPE. Un modelo clásico de acoplamiento débil, desarrollado por la comunidad de estudios de diseño organizacional, es resumido y trasladado al área de interés. Los aspectos claves son identificados para utilizarse como promotores del acoplamiento débil entre SFS-SPE, y presentados en forma de esquema de referencia. Así mismo, este esquema de referencia es presentado como base para el diseño e implementación de una solución genérica de acoplamiento o marco de trabajo (framework) de acoplamiento, a incluir como etapa de acoplamiento débil entre SFS y SPE. Un ejemplo de validación con varios conjuntos de equipos de fabricación, usando diferentes medios físicos de comunicación, comandos de controlador, lenguajes de programación de equipos y protocolos de comunicación es presentado, mostrando un nivel aceptable de autonomía del SFS. = Coupling shop floor software system (SFS) with the set of production equipment (SPE) becomes a complex task. It involves open and proprietary standards, information and communication technologies among other tools and techniques. Due to market turbulence, either custom solutions or standards based solutions eventually require a considerable effort of adaptation. Loose coupling concept has been identified in the organizational design community as a compensator for organization survival. Its presence reduces organization reaction to environment changes. In this paper the results obtained by the organizational de sign community are identified, translated and organized to support the SFS-SPE integration problem solution. A classical loose coupling model developed by organizational studies community is abstracted and translated to the area of interest. Key aspects are identified to be used as promoters of SFS-SPE loose coupling and presented in a form of a reference scheme. Furthermore, this reference scheme is proposed here as a basis for the design and implementation of a generic coupling solution or coupling framework, that is included as a loose coupling stage between SFS and SPE. A validation example with various sets of manufacturing equipment, using different physical communication media, controller commands, programming languages and wire protocols is presented, showing an acceptable level of autonomy gained by the SFS.

ISA S88 / Loose Coupling Based Solution for Production Control Software Reusability

A solution for the problem of reusability of software system for batch production systems is proposed. It is based on ISA S88 standard that prescribes the abstraction of elements in the manufacturing system that is equipment, processes and procedures abstraction, required to make a product batch. An easy to apply data scheme, compatible with the standard, is developed for management of production information. In addition to flexibility provided by the S88 standard, software system reusability requires a solution supporting manufacturing equipment reconfigurability. Toward this end a coupling mechanism is developed. A software tool, including these solutions, was developed and validated at laboratory level, using product manufacturing information of an actual plant.

Understanding and improving the chemical vapor deposition process for solar grade silicon production

Esta Tesis Doctoral se centra en la investigación del proceso de producción de polisilicio para aplicaciones fotovoltaicas (FV) por la vía química; mediante procesos de depósito en fase vapor (CVD). El polisilicio para la industria FV recibe el nombre de silicio de grado solar (SoG Si). Por un lado, el proceso que domina hoy en día la producción de SoG Si está basado en la síntesis, destilación y descomposición de triclorosilano (TCS) en un reactor CVD -denominado reactor Siemens-. El material obtenido mediante este proceso es de muy alta pureza, pero a costa de un elevado consumo energético. Así, para alcanzar los dos principales objetivos de la industria FV basada en silicio, bajos costes de producción y bajo tiempo de retorno de la energía invertida en su fabricación, es esencial disminuir el consumo energético de los reactores Siemens. Por otro lado, una alternativa al proceso Siemens considera la descomposición de monosilano (MS) en un reactor de lecho fluidizado (FBR). Este proceso alternativo tiene un consumo energético mucho menor que el de un reactor Siemens, si bien la calidad del material resultante es también menor; pero ésta puede ser suficiente para la industria FV. A día de hoy los FBR deben aún abordar una serie de retos para que su menor consumo energético sea una ventaja suficiente comparada con otras desventajas de estos reactores. En resumen, la investigación desarrollada se centra en el proceso de depósito de polysilicio por CVD a partir de TCS -reactor Siemens-; pero también se investiga el proceso de producción de SoG Si en los FBR exponiendo las fortalezas y debilidades de esta alternativa. Para poder profundizar en el conocimiento del proceso CVD para la producción de polisilicio es clave el conocimiento de las reacciones químicas fundamentales y cómo éstas influencian la calidad del producto resultante, al mismo tiempo que comprender los fenómenos responsables del consumo energético. Por medio de un reactor Siemens de laboratorio en el que se llevan a cabo un elevado número de experimentos de depósito de polisilicio de forma satisfactoria se adquiere el conocimiento previamente descrito. Se pone de manifiesto la complejidad de los reactores CVD y de los problemas asociados a la pérdidas de calor de estos procesos. Se identifican las contribuciones a las pérdidas de calor de los reactores CVD, éstas pérdidas de calor son debidas principalmente a los fenómenos de radiación y, conducción y convección vía gases. En el caso de los reactores Siemens el fenómeno que contribuye en mayor medida al alto consumo energético son las pérdidas de calor por radiación, mientras que en los FBRs tanto la radiación como el calor transferido por transporte másico contribuyen de forma importante. Se desarrolla un modelo teórico integral para el cálculo de las pérdidas de calor en reactores Siemens. Este modelo está formado a su vez por un modelo para la evaluación de las pérdidas de calor por radiación y modelos para la evaluación de las pérdidas de calor por conducción y convección vía gases. Se ponen de manifiesto una serie de limitaciones del modelo de pérdidas de calor por radiación, y se desarrollan una serie de modificaciones que mejoran el modelo previo. El modelo integral se valida por medio un reactor Siemens de laboratorio, y una vez validado se presenta su extrapolación a la escala industrial. El proceso de conversión de TCS y MS a polisilicio se investiga mediante modelos de fluidodinámica computacional (CFD). Se desarrollan modelados CFD para un reactor Siemens de laboratorio y para un prototipo FBR. Los resultados obtenidos mediante simulación son comparados, en ambos casos, con resultados experimentales. Los modelos desarrollados se convierten en herramientas para la identificación de aquellos parámetros que tienen mayor influencia en los procesos CVD. En el caso del reactor Siemens, ambos modelos -el modelo integral y el modelado CFD permiten el estudio de los parámetros que afectan en mayor medida al elevado consumo energético, y mediante su análisis se sugieren modificaciones para este tipo de reactores que se traducirían en un menor número de kilovatios-hora consumidos por kilogramo de silicio producido. Para el caso del FBR, el modelado CFD permite analizar el efecto de una serie de parámetros sobre la distribución de temperaturas en el lecho fluidizado; y dicha distribución de temperaturas está directamente relacionada con los principales retos de este tipo de reactores. Por último, existen nuevos conceptos de depósito de polisilicio; éstos se aprovechan de la ventaja teórica de un mayor volumen depositado por unidad de tiempo -cuando una mayor superficie de depósito está disponible- con el objetivo de reducir la energía consumida por los reactores Siemens. Estos conceptos se exploran mediante cálculos teóricos y pruebas en el reactor Siemens de laboratorio. ABSTRACT This Doctoral Thesis comprises research on polysilicon production for photovoltaic (PV) applications through the chemical route: chemical vapor deposition (CVD) process. PV polysilicon is named solar grade silicon (SoG Si). On the one hand, the besetting CVD process for SoG Si production is based on the synthesis, distillation, and decomposition of thriclorosilane (TCS) in the so called Siemens reactor; high purity silicon is obtained at the expense of high energy consumption. Thus, lowering the energy consumption of the Siemens process is essential to achieve the two wider objectives for silicon-based PV technology: low production cost and low energy payback time. On the other hand, a valuable variation of this process considers the use of monosilane (MS) in a fluidized bed reactor (FBR); lower output material quality is obtained but it may fulfil the requirements for the PV industry. FBRs demand lower energy consumption than Siemens reactors but further research is necessary to address the actual challenges of these reactors. In short, this work is centered in polysilicon CVD process from TCS -Siemens reactor-; but it also offers insights on the strengths and weaknesses of the FBR for SoG Si production. In order to aid further development in polysilicon CVD is key the understanding of the fundamental reactions and how they influence the product quality, at the same time as to comprehend the phenomena responsible for the energy consumption. Experiments conducted in a laboratory Siemens reactor prove the satisfactory operation of the prototype reactor, and allow to acquire the knowledge that has been described. Complexity of the CVD reactors is stated and the heat loss problem associated with polysilicon CVD is addressed. All contributions to the energy consumption of Siemens reactors and FBRs are put forward; these phenomena are radiation and, conduction and convection via gases heat loss. In a Siemens reactor the major contributor to the energy consumption is radiation heat loss; in case of FBRs radiation and heat transfer due to mass transport are both important contributors. Theoretical models for radiation, conduction and convection heat loss in a Siemens reactor are developed; shaping a comprehensive theoretical model for heat loss in Siemens reactors. Limitations of the radiation heat loss model are put forward, and a novel contribution to the existing model is developed. The comprehensive model for heat loss is validated through a laboratory Siemens reactor, and results are scaled to industrial reactors. The process of conversion of TCS and MS gases to solid polysilicon is investigated by means of computational fluid-dynamics models. CFD models for a laboratory Siemens reactor and a FBR prototype are developed. Simulated results for both CVD prototypes are compared with experimental data. The developed models are used as a tool to investigate the parameters that more strongly influence both processes. For the Siemens reactors, both, the comprehensive theoretical model and the CFD model allow to identify the parameters responsible for the great power consumption, and thus, suggest some modifications that could decrease the ratio kilowatts-hour per kilogram of silicon produced. For the FBR, the CFD model allows to explore the effect of a number of parameters on the thermal distribution of the fluidized bed; that is the main actual challenge of these type of reactors. Finally, there exist new deposition surface concepts that take advantage of higher volume deposited per time unit -when higher deposition area is available- trying to reduce the high energy consumption of the Siemens reactors. These novel concepts are explored by means of theoretical calculations and tests in the laboratory Siemens prototype.

Determinación de las características acústicas de materiales de construcción de Ecuador - Ladrillo artesanal e industrial

En el presente trabajo se plantea el estudio de las características acústicas del ladrillo artesanal e industrial fabricado en Ecuador, considerando las características particulares respecto a la calidad de la materia prima, además del hecho de que a nivel artesanal su producción no está regularizada, si bien existen una serie de reglamentos no siempre son acatados por el productor artesanal, lo que hace que presente propiedades particulares. La idea principal de este trabajo es generar datos referenciales e iniciales, sobre las propiedades acústicas del ladrillo artesanal e industrial ya que en Ecuador, no existe ningún estudio de esta naturaleza sobre el tema. Además de crear los mecanismos necesarios para una posible ampliación del estudio a otros materiales propios de Ecuador que permitan generar una base de datos sobre sus propiedades acústicas. Otro aspecto importante sobre esta investigación es el familiarizarse con el uso de técnicas de medición, manejo de equipamiento y software diverso, del manejo y comparación de normativa. ABSTRACT. The purpose of this paper is the study of the acoustic characteristics of artisanal and industrial brick manufactured in Ecuador, considering the particular characteristics regarding the quality of raw materials, besides the fact that artisanal production level is unregulated, although there are a number of regulations are not always complied with by the artisan producer, which makes this particular properties. The main idea of this paper is to generate reference and baseline data on the acoustic properties of artisanal and industrial brick as in Ecuador, there is no study of this nature on the subject. In addition to creating the necessary mechanisms for a possible extension of the study to other materials from Ecuador that will generate a database on its acoustic properties. Another important aspect of this research is to get familiar with the use of measurement techniques, equipment and miscellaneous management software, management and comparison of legislation.

Arquitectura industrial tabacalera en la España peninsular: secaderos y fábricas

La Arquitectura industrial del tabaco en España está representada por dos tipos de construcciones, que corresponden a las dos fases en las que se divide el proceso de producción del tabaco: los secaderos (arquitectura bioclimática donde se realiza el secado), y las fábricas (centros donde se elabora el tabaco procedente de los secaderos). Las fábricas se repartieron por todo el territorio español, ocupando preferiblemente los lugares costeros, aunque existen casos en los que su localización obedecía a razones políticas. Estos edificios, en su mayoría, incluidos en los centros históricos de las ciudades, han cambiando de uso, y las antiguas fábricas de tabaco se han transformado en su mayoría, en centros de cultura, o centros sociales y representativos. La tesis surge del análisis de las características constructivas de la arquitectura industrial del tabaco: de los secaderos y de las fábricas, por tratarse de una tipología con suficiente entidad y un ejemplo de arquitectura bioclimática de producción en el caso de los secaderos, y por conseguir haberse adaptado a otros usos en el caso de las fábricas. La arquitectura de producción emplea un lenguaje acorde con los avances de la industrialización, anticipando materiales y estructuras, y condensando en una tipología específica las complejas relaciones establecidas entre producto, hombres y espacio. Estos edificios tuvieron una extensa implantación en el territorio, y se caracterizan por una serie de valores tecnológicos, arquitectónicos, sociológicos y paisajísticos, que hacen de ellos un documento de primera magnitud para conocer: la evolución e implantación de las técnicas constructivas (materiales y estructuras), los procesos de innovación tipológica y la estructura económica y procedimientos técnicos utilizados. El territorio en el que se insertan constituye su contexto territorial, por lo que no sería adecuado considerar estos edificios como elementos aislados, sin analizar la relación con el entorno en el que se generaron. Por este motivo, se analizan las condiciones higrotérmicas ambientales de los secaderos para compararlas con las de confort humano y establecer relaciones y parámetros compatibles. Los ejemplos analizados de secaderos son todos de fábrica. El uso del ladrillo como módulo principal para la elaboración de un edificio, supone la consideración de un “grado cero” de todo el aparato constructivo y compositivo de la arquitectura. Dejar el ladrillo visto, supone hacer explícitos todos los procesos acumulativos. Este elemento mínimo, permite unas posibilidades enormemente abiertas, pero no absolutamente aleatorias, que definen su propia lógica combinatoria. La exigencia de sinceridad, característica de la arquitectura industrial, en la exposición de los materiales, exhibiéndolos en su propia naturaleza y en el modo real de ser utilizados, se hace patente en este tipo de construcción. Se realiza un estudio de permeabilidad en las fachadas de los secaderos, para determinar el grado de ventilación y su relación con la orientación, el patrón de celosía empleado y el volumen total. Este sistema de acondicionamiento climático específico, puede servir de recurso a otras construcciones, por lo que se podría trasladar el sistema constructivo y formal de los secaderos a otros usos, desde una doble vertiente: Arquitectura para la adaptación climática al entorno. Arquitectura como generadora de condiciones climáticas específicas, en el interior. La utilidad de los secaderos es fundamentalmente: proporcionar sombra, ventilación y un espacio cubierto, pero permeable en sus fachadas. La arquitectura industrial debe ser reconocida dentro del conjunto patrimonial, debido a sus características propias que permiten su diferenciación del resto de la arquitectura. Conocer la estructura productiva permite analizar correctamente estas construcciones, ya que el programa inicial es básico para entender la organización del espacio interior. Las fábricas no se situaron cerca de las zonas de producción del tabaco, excepto en dos casos: Cádiz y Palazuelo, en los que existen secaderos y campos de cultivo de hoja de tabaco en las áreas cercanas. La principal causa de esta separación es que el proceso de obtención de tabaco es un proceso dividido en dos fases principales: proceso primario y proceso secundario. En el proceso primario la hoja de tabaco se seca en los secaderos, en los que es determinante el clima, pero únicamente en el caso del secado del tabaco al aire. En el proceso secundario sin embargo, el tabaco llega previamente tratado a las fábricas, por lo que no influye el clima en esta parte del proceso. Esta razón determina que en las áreas climáticas donde se centra el estudio, haya zonas en las que existen fábrica y secaderos y otras en las que únicamente existe fábrica, o sólo secaderos. La localización de las fábricas atendía a razones de muy diferente índole, las más importantes fueron: geográficas, estratégicas, y políticas. En la mayoría de las fábricas la elección de la ciudad de emplazamiento estaba ligada a la recepción de la materia prima, que principalmente se hacía por vía marítima, o acuática (el caso de Sevilla), y por vía terrestre, utilizando como medio de transporte el ferrocarril. Sólo dos casos, de las antiguas fábricas, corresponden a razones políticas, son las dos únicas que no están en la costa: Madrid y Logroño. La de Madrid se construyó por centralidad política, y porque geográficamente ocupaba el punto central de todas las comunicaciones terrestres por carretera y ferrocarril. Muchas de las fábricas se situaron cercanas a las estaciones de ferrocarril. La de Logroño atendió, sin embargo, a razones políticas. Para finalizar, se realiza un estudio comparativo de las fábricas de Sevilla, Madrid y San Sebastián. Las razones que justifican esta elección son: - La de Sevilla fue históricamente la primera fábrica y la más importante. - La de Madrid fue la más importante a nivel administrativo, la sede de Tabacalera se instaló en la capital, y después de la de Sevilla, fue la que sirvió de modelo al resto de las fábricas. - La de San Sebastián era la más grande del Norte. Los análisis que se han realizado son de: volumen y superficies de patios, superficies de cubierta, permeabilidad o huecos en fachadas, orientación y soleamiento de patios, distribución espacial interior y organización, y evolución de usos. Podemos observar que en la mayoría de estas fábricas ha habido una transformación en el uso, pasando de ser edificios industriales a edificios culturales. Estas construcciones se pueden considerar como infraestructuras adaptables, por ser útiles, sostenibles y funcionales. ABSTRACT The Spanish industrial architecture of tobacco is represented by two construction types that correspond to the two phases of tobacco production: the drying sheds (bioclimatic constructions where the drying process takes place) and factories (centres where tobacco is processed after the drying process). The factories were distributed throughout the Spanish territory, preferably occupying coastal locations, although some of them were located elsewhere following political reasons. Most of the buildings inside city centres have suffered changes in their use, becoming cultural, social or representative centres. This thesis attempts the analysis of the constructive systems employed in tobacco industrial architecture, from drying sheds to factories. The drying sheds are an example of bioclimatic industrial architecture. The factories are a typology that have successfully adapted to new uses. Industrial architecture uses a language that follows the advances in industrialization, anticipating new materials and structures, and merging the complex relationships established among products, human beings, space and locations. These buildings were promoted extensively in the country. They are characterized by technological architectural sociological and landscaping innovations. They are considered as important examples of the evolution and the implementation of construction techniques (building materials and structures). They are also considered as examples of innovation in the building typology, in their economic structure and in the technologies that they have applied. The settings in which the drying sheds are placed have an important influence in them. They cannot be considered as isolated elements. Instead, there is a close relationship between drying sheds and the surroundings in which they are located. Drying sheds’ hygrotermal and environmental conditions are analyzed in this thesis to compare them with the values of human comfort and find suitable relationships and parameters. All the drying sheds that have been analyzed are constructed with brick. This implies a consideration of “zero degree” for both the construction and the composition of the architectural process. The detailing - entails making all the accumulative processes explicit as the brick walls are left exposed. This minimal component allows a wide range of options that are never random but based on the logic of the way in which it is combined. The “sincerity” in the exposition of material, displaying them in their very nature and showing how they are really used, is a basic characteristic of industrial architecture, and it is even more expressive in these types of buildings. The walls of the drying sheds undergo a permeability assessment in order to determine the degree of ventilation and orientation, the lattice pattern used and the overall volume. This specific conditioning system can serve as a resource for other buildings, and consequently, it could be transferred to other uses within a two-pronged approach: -Climatically adapted architecture that takes into account the surroundings. -Architecture as a generator of specific climatic conditions indoors. Drying sheds’ main purposes / aims deal with how to provide shade, ventilation and a covered space as well as permeability. The industrial architecture must be recognized as historical valuable buildings due to its intrinsic and distinctive characteristics. Knowing the productive structure, allow us to make a proper analysis of these buildings, since the basic aim, is to understand the spatial organization indoors. Factories did not come close to the tobacco production, with the exception of Cádiz and Palazuelo, where there are sheds and tobacco croplands nearby. The main reason for this separation is that the process of obtaining tobacco has two processes: the primary process and the secondary process. In the primary process tobacco leaves are left to dry. In the secondary process, previously manufactured tobacco allocated in the factories where the weather conditions are not important. This fact determines that in the climate areas where this study tales place there are some cases in which we can find both factories and drying sheds, and others where there are either factories or drying sheds only. The location of these factories met various demands, being the most outstanding the ones related to geographic, strategic and political reasons. In most factories the choice of its location was often linked to the incoming of raw goods, mainly delivered through waterways –it is the case of Seville,) and by land, using railways. The location of the factories was linked to political reasons in only two cases Madrid and Logroño, which are the only ones that are not placed near the coast. The one in Madrid was built due to its political centrality and because geographically speaking, it was the reference landmark of means of land and rail transports. Many factories, in fact, were settled nearby rail stations. For the factory in Logroño, only political reasons were taken into consideration. I should like to close by undertaking a comparative study of factories in Seville, Madrid and San Sebastian. There are a number of reasons to substantiate this choice: -The factory in Seville was historically speaking the first that was built and the most important one. -The factory in Madrid was the most important one administratively. This factory was the headquarters as well as being, after Seville, the one which provided a model for other factories. -The factory in San Sebastian is the biggest in the North of Spain. The analysis carried out are related to the volume of the buildings and the surface areas of the courtyards, the surface of the roofs, the permeability of the walls and the openings of the façade, the orientation and the sun exposure, the indoor spatial distribution and organization and evolution of the uses (formerly and currently) I observe that in most of these factories there has been a change in the use of the buildings, from industrial cultural purposes. These buildings can be considered as adaptable infrastructures based on a combination of architectural practicability, sustainability and functionality.

Analysing the complexity of the model-based decision making processes within the industrial management context

PURPOSE The decision-making process plays a key role in organizations. Every decision-making process produces a final choice that may or may not prompt action. Recurrently, decision makers find themselves in the dichotomous question of following a traditional sequence decision-making process where the output of a decision is used as the input of the next stage of the decision, or following a joint decision-making approach where several decisions are taken simultaneously. The implication of the decision-making process will impact different players of the organization. The choice of the decision- making approach becomes difficult to find, even with the current literature and practitioners’ knowledge. The pursuit of better ways for making decisions has been a common goal for academics and practitioners. Management scientists use different techniques and approaches to improve different types of decisions. The purpose of this decision is to use the available resources as well as possible (data and techniques) to achieve the objectives of the organization. The developing and applying of models and concepts may be helpful to solve managerial problems faced every day in different companies. As a result of this research different decision models are presented to contribute to the body of knowledge of management science. The first models are focused on the manufacturing industry and the second part of the models on the health care industry. Despite these models being case specific, they serve the purpose of exemplifying that different approaches to the problems and could provide interesting results. Unfortunately, there is no universal recipe that could be applied to all the problems. Furthermore, the same model could deliver good results with certain data and bad results for other data. A framework to analyse the data before selecting the model to be used is presented and tested in the models developed to exemplify the ideas. METHODOLOGY As the first step of the research a systematic literature review on the joint decision is presented, as are the different opinions and suggestions of different scholars. For the next stage of the thesis, the decision-making process of more than 50 companies was analysed in companies from different sectors in the production planning area at the Job Shop level. The data was obtained using surveys and face-to-face interviews. The following part of the research into the decision-making process was held in two application fields that are highly relevant for our society; manufacturing and health care. The first step was to study the interactions and develop a mathematical model for the replenishment of the car assembly where the problem of “Vehicle routing problem and Inventory” were combined. The next step was to add the scheduling or car production (car sequencing) decision and use some metaheuristics such as ant colony and genetic algorithms to measure if the behaviour is kept up with different case size problems. A similar approach is presented in a production of semiconductors and aviation parts, where a hoist has to change from one station to another to deal with the work, and a jobs schedule has to be done. However, for this problem simulation was used for experimentation. In parallel, the scheduling of operating rooms was studied. Surgeries were allocated to surgeons and the scheduling of operating rooms was analysed. The first part of the research was done in a Teaching hospital, and for the second part the interaction of uncertainty was added. Once the previous problem had been analysed a general framework to characterize the instance was built. In the final chapter a general conclusion is presented. FINDINGS AND PRACTICAL IMPLICATIONS The first part of the contributions is an update of the decision-making literature review. Also an analysis of the possible savings resulting from a change in the decision process is made. Then, the results of the survey, which present a lack of consistency between what the managers believe and the reality of the integration of their decisions. In the next stage of the thesis, a contribution to the body of knowledge of the operation research, with the joint solution of the replenishment, sequencing and inventory problem in the assembly line is made, together with a parallel work with the operating rooms scheduling where different solutions approaches are presented. In addition to the contribution of the solving methods, with the use of different techniques, the main contribution is the framework that is proposed to pre-evaluate the problem before thinking of the techniques to solve it. However, there is no straightforward answer as to whether it is better to have joint or sequential solutions. Following the proposed framework with the evaluation of factors such as the flexibility of the answer, the number of actors, and the tightness of the data, give us important hints as to the most suitable direction to take to tackle the problem. RESEARCH LIMITATIONS AND AVENUES FOR FUTURE RESEARCH In the first part of the work it was really complicated to calculate the possible savings of different projects, since in many papers these quantities are not reported or the impact is based on non-quantifiable benefits. The other issue is the confidentiality of many projects where the data cannot be presented. For the car assembly line problem more computational power would allow us to solve bigger instances. For the operation research problem there was a lack of historical data to perform a parallel analysis in the teaching hospital. In order to keep testing the decision framework it is necessary to keep applying more case studies in order to generalize the results and make them more evident and less ambiguous. The health care field offers great opportunities since despite the recent awareness of the need to improve the decision-making process there are many opportunities to improve. Another big difference with the automotive industry is that the last improvements are not spread among all the actors. Therefore, in the future this research will focus more on the collaboration between academia and the health care sector.