Dissertations / Theses on the topic 'Warehouses Design'
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Romero, Moral Óscar. "Automating the multidimensional design of data warehouses." Doctoral thesis, Universitat Politècnica de Catalunya, 2010. http://hdl.handle.net/10803/6670.
Full textCom a qualsevol altre sistema, els requeriments són necessaris per garantir que el sistema desenvolupat satisfà les necessitats de l'usuari. A més, essent aquest un procés de reenginyeria, les fonts de dades s'han de tenir en compte per: (i) garantir que el magatzem de dades resultant pot ésser poblat amb dades de l'organització, i, a més, (ii) descobrir capacitats d'anàlisis no evidents o no conegudes per l'usuari.
Actualment, a la literatura s'han presentat diversos mètodes per donar suport al procés de modelatge del magatzem de dades. No obstant això, les propostes basades en un anàlisi dels requeriments assumeixen que aquestos són exhaustius, i no consideren que pot haver-hi informació rellevant amagada a les fonts de dades. Contràriament, les propostes basades en un anàlisi exhaustiu de les fonts de dades maximitzen aquest enfocament, i proposen tot el coneixement multidimensional que es pot derivar des de les fonts de dades i, conseqüentment, generen massa resultats. En aquest escenari, l'automatització del disseny del magatzem de dades és essencial per evitar que tot el pes de la tasca recaigui en el dissenyador (d'aquesta forma, no hem de confiar únicament en la seva habilitat i coneixement per aplicar el mètode de disseny elegit). A més, l'automatització de la tasca allibera al dissenyador del sempre complex i costós anàlisi de les fonts de dades (que pot arribar a ser inviable per grans fonts de dades).
Avui dia, els mètodes automatitzables analitzen en detall les fonts de dades i passen per alt els requeriments. En canvi, els mètodes basats en l'anàlisi dels requeriments no consideren l'automatització del procés, ja que treballen amb requeriments expressats en llenguatges d'alt nivell que un ordenador no pot manegar. Aquesta mateixa situació es dona en els mètodes híbrids actual, que proposen un enfocament seqüencial, on l'anàlisi de les dades es complementa amb l'anàlisi dels requeriments, ja que totes dues tasques pateixen els mateixos problemes que els enfocament purs.
En aquesta tesi proposem dos mètodes per donar suport a la tasca de modelatge del magatzem de dades: MDBE (Multidimensional Design Based on Examples) and AMDO (Automating the Multidimensional Design from Ontologies). Totes dues consideren els requeriments i les fonts de dades per portar a terme la tasca de modelatge i a més, van ser pensades per superar les limitacions dels enfocaments actuals.
1. MDBE segueix un enfocament clàssic, en el que els requeriments d'usuari són coneguts d'avantmà. Aquest mètode es beneficia del coneixement capturat a les fonts de dades, però guia el procés des dels requeriments i, conseqüentment, és capaç de treballar sobre fonts de dades semànticament pobres. És a dir, explotant el fet que amb uns requeriments de qualitat, podem superar els inconvenients de disposar de fonts de dades que no capturen apropiadament el nostre domini de treball.
2. A diferència d'MDBE, AMDO assumeix un escenari on es disposa de fonts de dades semànticament riques. Per aquest motiu, dirigeix el procés de modelatge des de les fonts de dades, i empra els requeriments per donar forma i adaptar els resultats generats a les necessitats de l'usuari. En aquest context, a diferència de l'anterior, unes fonts de dades semànticament riques esmorteeixen el fet de no tenir clars els requeriments d'usuari d'avantmà.
Cal notar que els nostres mètodes estableixen un marc de treball combinat que es pot emprar per decidir, donat un escenari concret, quin enfocament és més adient. Per exemple, no es pot seguir el mateix enfocament en un escenari on els requeriments són ben coneguts d'avantmà i en un escenari on aquestos encara no estan clars (un cas recorrent d'aquesta situació és quan l'usuari no té clares les capacitats d'anàlisi del seu propi sistema). De fet, disposar d'uns bons requeriments d'avantmà esmorteeix la necessitat de disposar de fonts de dades semànticament riques, mentre que a l'inversa, si disposem de fonts de dades que capturen adequadament el nostre domini de treball, els requeriments no són necessaris d'avantmà. Per aquests motius, en aquesta tesi aportem un marc de treball combinat que cobreix tots els possibles escenaris que podem trobar durant la tasca de modelatge del magatzem de dades.
Previous experiences in the data warehouse field have shown that the data warehouse multidimensional conceptual schema must be derived from a hybrid approach: i.e., by considering both the end-user requirements and the data sources, as first-class citizens. Like in any other system, requirements guarantee that the system devised meets the end-user necessities. In addition, since the data warehouse design task is a reengineering process, it must consider the underlying data sources of the organization: (i) to guarantee that the data warehouse must be populated from data available within the organization, and (ii) to allow the end-user discover unknown additional analysis capabilities.
Currently, several methods for supporting the data warehouse modeling task have been provided. However, they suffer from some significant drawbacks. In short, requirement-driven approaches assume that requirements are exhaustive (and therefore, do not consider the data sources to contain alternative interesting evidences of analysis), whereas data-driven approaches (i.e., those leading the design task from a thorough analysis of the data sources) rely on discovering as much multidimensional knowledge as possible from the data sources. As a consequence, data-driven approaches generate too many results, which mislead the user. Furthermore, the design task automation is essential in this scenario, as it removes the dependency on an expert's ability to properly apply the method chosen, and the need to analyze the data sources, which is a tedious and timeconsuming task (which can be unfeasible when working with large databases). In this sense, current automatable methods follow a data-driven approach, whereas current requirement-driven approaches overlook the process automation, since they tend to work with requirements at a high level of abstraction. Indeed, this scenario is repeated regarding data-driven and requirement-driven stages within current hybrid approaches, which suffer from the same drawbacks than pure data-driven or requirement-driven approaches.
In this thesis we introduce two different approaches for automating the multidimensional design of the data warehouse: MDBE (Multidimensional Design Based on Examples) and AMDO (Automating the Multidimensional Design from Ontologies). Both approaches were devised to overcome the limitations from which current approaches suffer. Importantly, our approaches consider opposite initial assumptions, but both consider the end-user requirements and the data sources as first-class citizens.
1. MDBE follows a classical approach, in which the end-user requirements are well-known beforehand. This approach benefits from the knowledge captured in the data sources, but guides the design task according to requirements and consequently, it is able to work and handle semantically poorer data sources. In other words, providing high-quality end-user requirements, we can guide the process from the knowledge they contain, and overcome the fact of disposing of bad quality (from a semantical point of view) data sources.
2. AMDO, as counterpart, assumes a scenario in which the data sources available are semantically richer. Thus, the approach proposed is guided by a thorough analysis of the data sources, which is properly adapted to shape the output result according to the end-user requirements. In this context, disposing of high-quality data sources, we can overcome the fact of lacking of expressive end-user requirements.
Importantly, our methods establish a combined and comprehensive framework that can be used to decide, according to the inputs provided in each scenario, which is the best approach to follow. For example, we cannot follow the same approach in a scenario where the end-user requirements are clear and well-known, and in a scenario in which the end-user requirements are not evident or cannot be easily elicited (e.g., this may happen when the users are not aware of the analysis capabilities of their own sources). Interestingly, the need to dispose of requirements beforehand is smoothed by the fact of having semantically rich data sources. In lack of that, requirements gain relevance to extract the multidimensional knowledge from the sources.
So that, we claim to provide two approaches whose combination turns up to be exhaustive with regard to the scenarios discussed in the literature
Romero, Moral Oscar. "Automating the multidimensional design of data warehouses." Doctoral thesis, Universitat Politècnica de Catalunya, 2010. http://hdl.handle.net/10803/6670.
Full textPrevious experiences in the data warehouse field have shown that the data warehouse multidimensional conceptual schema must be derived from a hybrid approach: i.e., by considering both the end-user requirements and the data sources, as first-class citizens. Like in any other system, requirements guarantee that the system devised meets the end-user necessities. In addition, since the data warehouse design task is a reengineering process, it must consider the underlying data sources of the organization: (i) to guarantee that the data warehouse must be populated from data available within the organization, and (ii) to allow the end-user discover unknown additional analysis capabilities.Currently, several methods for supporting the data warehouse modeling task have been provided. However, they suffer from some significant drawbacks. In short, requirement-driven approaches assume that requirements are exhaustive (and therefore, do not consider the data sources to contain alternative interesting evidences of analysis), whereas data-driven approaches (i.e., those leading the design task from a thorough analysis of the data sources) rely on discovering as much multidimensional knowledge as possible from the data sources. As a consequence, data-driven approaches generate too many results, which mislead the user. Furthermore, the design task automation is essential in this scenario, as it removes the dependency on an expert's ability to properly apply the method chosen, and the need to analyze the data sources, which is a tedious and timeconsuming task (which can be unfeasible when working with large databases). In this sense, current automatable methods follow a data-driven approach, whereas current requirement-driven approaches overlook the process automation, since they tend to work with requirements at a high level of abstraction. Indeed, this scenario is repeated regarding data-driven and requirement-driven stages within current hybrid approaches, which suffer from the same drawbacks than pure data-driven or requirement-driven approaches.In this thesis we introduce two different approaches for automating the multidimensional design of the data warehouse: MDBE (Multidimensional Design Based on Examples) and AMDO (Automating the Multidimensional Design from Ontologies). Both approaches were devised to overcome the limitations from which current approaches suffer. Importantly, our approaches consider opposite initial assumptions, but both consider the end-user requirements and the data sources as first-class citizens.1. MDBE follows a classical approach, in which the end-user requirements are well-known beforehand. This approach benefits from the knowledge captured in the data sources, but guides the design task according to requirements and consequently, it is able to work and handle semantically poorer data sources. In other words, providing high-quality end-user requirements, we can guide the process from the knowledge they contain, and overcome the fact of disposing of bad quality (from a semantical point of view) data sources.2. AMDO, as counterpart, assumes a scenario in which the data sources available are semantically richer. Thus, the approach proposed is guided by a thorough analysis of the data sources, which is properly adapted to shape the output result according to the end-user requirements. In this context, disposing of high-quality data sources, we can overcome the fact of lacking of expressive end-user requirements.Importantly, our methods establish a combined and comprehensive framework that can be used to decide, according to the inputs provided in each scenario, which is the best approach to follow. For example, we cannot follow the same approach in a scenario where the end-user requirements are clear and well-known, and in a scenario in which the end-user requirements are not evident or cannot be easily elicited (e.g., this may happen when the users are not aware of the analysis capabilities of their own sources). Interestingly, the need to dispose of requirements beforehand is smoothed by the fact of having semantically rich data sources. In lack of that, requirements gain relevance to extract the multidimensional knowledge from the sources.So that, we claim to provide two approaches whose combination turns up to be exhaustive with regard to the scenarios discussed in the literature
Jürgens, Marcus. "Index structures for data warehouses /." Berlin [u.a.] : Springer, 2002. http://www.loc.gov/catdir/enhancements/fy0817/2002021075-d.html.
Full textSiqueira, Thiago Luís Lopes. "The design of vague spatial data warehouses." Universidade Federal de São Carlos, 2015. https://repositorio.ufscar.br/handle/ufscar/298.
Full textUniversidade Federal de Minas Gerais
O data warehouse espacial (DWE) é um banco de dados multidimensional integrado e volumoso que armazena dados espaciais e dados convencionais. Já o processamento analítico espacial online (SOLAP) permite consultar o DWE, tanto pela seleção de dados espaciais que satisfazem um relacionamento topológico, quanto pela agregação dos dados espaciais. Deste modo, DWE e SOLAP beneficiam o suporte a tomada de decisão. As aplicações de DWE e SOLAP abordam majoritarimente fenômenos representados por dados espaciais exatos, ou seja, que assumem localizações e fronteiras bem definidas. Contudo, tais aplicações negligenciam dados espaciais afetados por imperfeições, tais como a vagueza espacial, a qual interfere na identificação precisa de um objeto e de seus vizinhos. Um objeto espacial vago não tem sua fronteira ou seu interior precisamente definidos. Além disso, é composto por partes que certamente pertencem a ele e partes que possivelmente pertencem a ele. Apesar de inúmeros fenômenos do mundo real serem caracterizados pela vagueza espacial, na literatura consultada não se identificaram trabalhos que considerassem a vagueza espacial no projeto de DWE e nem para consultar o DWE. Tal limitação motivou a elaboração desta tese de doutorado, a qual introduz os conceitos de DWE vago e de SOLAP vago. Um DWE vago é um DWE que armazena dados espaciais vagos, enquanto que SOLAP vago provê os meios para consultar o DWE vago. Nesta tese, o projeto de DWE vago é abordado e as principais contribuições providas são: (i) o modelo conceitual VSCube que viabiliza a criação de um cubos de dados multidimensional para representar o esquema conceitual de um DWE vago; (ii) o modelo conceitual VSMultiDim que permite criar um diagrama para representar o esquema conceitual de um DWE vago; (iii) diretrizes para o projeto lógico do DWE vago e de suas restrições de integridade, e para estender a linguagem SQL visando processar as consultas de SOLAP vago no DWE vago; e (iv) o índice VSB-index que aprimora o desempenho do processamento de consultas no DWE vago. A aplicabilidade dessas contribuições é demonstrada em dois estudos de caso no domínio da agricultura, por meio da criação de esquemas conceituais de DWE vago, da transformação dos esquemas conceituais em esquemas lógicos de DWE vago, e do processamento de consultas envolvendo as regiões vagas do DWE vago.
Spatial data warehouses (SDW) and spatial online analytical processing (SOLAP) enhance decision making by enabling spatial analysis combined with multidimensional analytical queries. A SDW is an integrated and voluminous multidimensional database containing both conventional and spatial data. SOLAP allows querying SDWs with multidimensional queries that select spatial data that satisfy a given topological relationship and that aggregate spatial data. Existing SDW and SOLAP applications mostly consider phenomena represented by spatial data having exact locations and sharp boundaries. They neglect the fact that spatial data may be affected by imperfections, such as spatial vagueness, which prevents distinguishing an object from its neighborhood. A vague spatial object does not have a precisely defined boundary and/or interior. Thus, it may have a broad boundary and a blurred interior, and is composed of parts that certainly belong to it and parts that possibly belong to it. Although several real-world phenomena are characterized by spatial vagueness, no approach in the literature addresses both spatial vagueness and the design of SDWs nor provides multidimensional analysis over vague spatial data. These shortcomings motivated the elaboration of this doctoral thesis, which addresses both vague spatial data warehouses (vague SDWs) and vague spatial online analytical processing (vague SOLAP). A vague SDW is a SDW that comprises vague spatial data, while vague SOLAP allows querying vague SDWs. The major contributions of this doctoral thesis are: (i) the Vague Spatial Cube (VSCube) conceptual model, which enables the creation of conceptual schemata for vague SDWs using data cubes; (ii) the Vague Spatial MultiDim (VSMultiDim) conceptual model, which enables the creation of conceptual schemata for vague SDWs using diagrams; (iii) guidelines for designing relational schemata and integrity constraints for vague SDWs, and for extending the SQL language to enable vague SOLAP; (iv) the Vague Spatial Bitmap Index (VSB-index), which improves the performance to process queries against vague SDWs. The applicability of these contributions is demonstrated in two applications of the agricultural domain, by creating conceptual schemata for vague SDWs, transforming these conceptual schemata into logical schemata for vague SDWs, and efficiently processing queries over vague SDWs.
Lopes, Siqueira Thiago Luis. "The Design of Vague Spatial Data Warehouses." Doctoral thesis, Universite Libre de Bruxelles, 2015. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/221701.
Full textLes entrepôts de données spatiales (EDS) et l'analyse en ligne spatiale (ALS) améliorent la prise de décision en permettant l'analyse spatiale combinée avec des requêtes analytiques multidimensionnelles. Un EDS est une base de données multidimensionnelle intégrée et volumineuse qui contient des données classiques et des données spatiales. L'ALS permet l'interrogation des EDS avec des requêtes multidimensionnelles qui sélectionnent des données spatiales qui satisfont une relation topologique donnée et qui agrègent les données spatiales. Les EDS et l'ALS considèrent essentiellement des phénomènes représentés par des données spatiales ayant une localisation exacte et des frontières précises. Ils négligent que les données spatiales peuvent être affectées par des imperfections, comme l'imprécision spatiale, ce qui empêche de distinguer précisément un objet de son entourage. Un objet spatial vague n'a pas de frontière et/ou un intérieur précisément définis. Ainsi, il peut avoir une frontière large et un intérieur flou, et est composé de parties qui lui appartiennent certainement et des parties qui lui appartiennent éventuellement. Bien que plusieurs phénomènes du monde réel sont caractérisés par l'imprécision spatiale, il n'y a pas dans la littérature des approches qui adressent en même temps l'imprécision spatiale et la conception d'EDS ni qui fournissent une analyse multidimensionnelle des données spatiales vagues. Ces lacunes ont motivé l'élaboration de cette thèse de doctorat, qui adresse à la fois les entrepôts de données spatiales vagues (EDS vagues) et l'analyse en ligne spatiale vague (ALS vague). Un EDS vague est un EDS qui comprend des données spatiales vagues, tandis que l'ALS vague permet d'interroger des EDS vagues. Les contributions majeures de cette thèse de doctorat sont: (i) le modèle conceptuel Vague Spatial Cube (VSCube), qui permet la création de schémas conceptuels pour des EDS vagues à l'aide de cubes de données; (ii) le modèle conceptuel Vague Spatial MultiDim (VSMultiDim), qui permet la création de schémas conceptuels pour des EDS vagues à l'aide de diagrammes; (iii) des directives pour la conception de schémas relationnels et des contraintes d'intégrité pour des EDS vagues, et pour l'extension du langage SQL pour permettre l'ALS vague; (iv) l'indice Vague Spatial Bitmap (VSB-index) qui améliore la performance pour traiter les requêtes adressées à des EDS vagues. L'applicabilité de ces contributions est démontrée dans deux applications dans le domaine agricole, en créant des schémas conceptuels des EDS vagues, la transformation de ces schémas conceptuels en schémas logiques pour des EDS vagues, et le traitement efficace des requêtes sur des EDS vagues.
O data warehouse espacial (DWE) é um banco de dados multidimensional integrado e volumoso que armazena dados espaciais e dados convencionais. Já o processamento analítico-espacial online (SOLAP) permite consultar o DWE, tanto pela seleção de dados espaciais que satisfazem um relacionamento topológico, quanto pela agregação dos dados espaciais. Deste modo, DWE e SOLAP beneficiam o suporte a tomada de decisão. As aplicações de DWE e SOLAP abordam majoritarimente fenômenos representados por dados espaciais exatos, ou seja, que assumem localizações e fronteiras bem definidas. Contudo, tais aplicações negligenciam dados espaciais afetados por imperfeições, tais como a vagueza espacial, a qual interfere na identificação precisa de um objeto e de seus vizinhos. Um objeto espacial vago não tem sua fronteira ou seu interior precisamente definidos. Além disso, é composto por partes que certamente pertencem a ele e partes que possivelmente pertencem a ele. Apesar de inúmeros fenômenos do mundo real serem caracterizados pela vagueza espacial, na literatura consultada não se identificaram trabalhos que considerassem a vagueza espacial no projeto de DWE e nem para consultar o DWE. Tal limitação motivou a elaboração desta tese de doutorado, a qual introduz os conceitos de DWE vago e de SOLAP vago. Um DWE vago é um DWE que armazena dados espaciais vagos, enquanto que SOLAP vago provê os meios para consultar o DWE vago. Nesta tese, o projeto de DWE vago é abordado e as principais contribuições providas são: (i) o modelo conceitual VSCube que viabiliza a criação de um cubos de dados multidimensional para representar o esquema conceitual de um DWE vago; (ii) o modelo conceitual VSMultiDim que permite criar um diagrama para representar o esquema conceitual de um DWE vago; (iii) diretrizes para o projeto lógico do DWE vago e de suas restrições de integridade, e para estender a linguagem SQL visando processar as consultas de SOLAP vago no DWE vago; e (iv) o índice VSB-index que aprimora o desempenho do processamento de consultas no DWE vago. A aplicabilidade dessas contribuições é demonstrada em dois estudos de caso no domínio da agricultura, por meio da criação de esquemas conceituais de DWE vago, da transformação dos esquemas conceituais em esquemas lógicos de DWE vago, e do processamento de consultas envolvendo as regiões vagas do DWE vago.
Doctorat en Sciences de l'ingénieur et technologie
Location of the public defense: Universidade Federal de São Carlos, São Carlos, SP, Brazil.
info:eu-repo/semantics/nonPublished
Dunkin, Ann Elizabeth. "Analysis and design of storage and retrieval systems for tote sized loads." Thesis, Georgia Institute of Technology, 1988. http://hdl.handle.net/1853/25525.
Full textVetencourt, Stull Rolando Jose. "Re-design warehouse plant layout for a food company." Online version, 2004. http://www.uwstout.edu/lib/thesis/2004/2004vetencourtr.pdf.
Full textZerangue, Natalie Frances. "Modeling expertise in the design of warehousing and distribution systems." Thesis, Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/21737.
Full textSchilling, Benjamin Fritz. "Robotic vacuum cleaner design to mitigate slip errors in warehouses." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/114052.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 83-84).
Warehouses are extremely dusty environments due to the concrete and cardboard dust generated. This is problematic in automated warehouses that use robots to move items from one location to another. If the robot slips, it can collide with other robots or lose track of where it is located. Currently, to reduce the amount of dust on the floor, warehouses use industrial scrubbers that users walk behind or ride. This requires manual labor and a regular scheduled maintenance plan that needs to be followed to mitigate the dust accumulation. Therefore, an industrial robotic vacuum cleaner that can continuously clean the warehouse floors is proposed. The five key parts to a vacuum are inlet duct, brush roller, filtration, storage, and suction. This thesis will discuss in detail the design and development of the filtration, storage, and suction of the robotic vacuums that were developed in this project. The thesis will go through design considerations and computational fluid dynamics that were conducted to validate and improve the design. Then, it will discuss the experimental results of the robotic vacuum cleaners.
by Benjamin Fritz Schilling.
M. Eng. in Advanced Manufacturing and Design
Veronica, Ruiz Castro Carla. "CSTM: a conceptual spatiotemporal model for data warehouses." Universidade Federal de Pernambuco, 2010. https://repositorio.ufpe.br/handle/123456789/2209.
Full textConselho Nacional de Desenvolvimento Científico e Tecnológico
Estudos abrangentes relacionados a data warehouse temporais e espaciais têm sido conduzidos. Data warehouse temporais permitem lidar com dados variáveis no tempo tanto em tabelas de fatos quanto em tabelas de dimensões. Uma ampla variedade de aplicações precisa capturar não só características espaciais, mas também temporais das entidades modeladas. Entretanto, estudos que unam essas duas áreas de pesquisa não têm sido suficientemente considerados. É neste contexto que o presente trabalho de dissertação está definido. Ele propõe um modelo conceitual para data warehouses espaço temporais. Este modelo permite aos usuários definir níveis, hierarquias e dimensões tanto com características espaciais como temporais. Como consequência disso, é possível representar atributos espaciais variáveis no tempo. Além disso, este trabalho define um conjunto de operadores espaço temporais que poderia ser útil na consulta de data warehouses espaço temporais. Diferentemente de propostas existentes, nossos operadores integram não só operadores multidimensionais e espaciais, mas também espaciais e temporais (i.e., espaço temporais) em uma única sintaxe. Um esquema taxonômico, o qual classifica os operadores propostos, também é definido. A importância da taxonomia proposta é que ajuda no desenvolvimento de tecnologia OLAP espaço temporal. Com o objetivo de automatizar a modelagem de esquemas espaço temporais, uma ferramenta CASE foi desenvolvida. Além de permitir a definição de esquemas conformes com o modelo conceitual proposto, esta ferramenta também permite a geração automática do esquema lógico correspondente usando uma abordagem objeto relacional. As ideias propostas são validadas com um estudo de caso na área meteorológica. O estudo apresenta uma aplicação prática do modelo conceitual espaço temporal e dos operadores espaço temporais apresentados neste trabalho
Yoon, Chang S. "A structured procedure for order pick system analysis and design." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/21708.
Full textAnderson, Rebecca. "Design and justification of an automated palletizing line." Online version, 2008. http://www.uwstout.edu/lib/thesis/2008/2008andersonr.pdf.
Full textMalinowski, Gajda Elzbieta. "Designing conventional, spatial, and temporal data warehouses: concepts and methodological framework." Doctoral thesis, Universite Libre de Bruxelles, 2006. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210837.
Full textA data warehouse is a database that allows to store high volume of historical data required for analytical purposes. This data is extracted from operational databases, transformed into a coherent whole, and loaded into a DW during the extraction-transformation-loading (ETL) process.
DW data can be dynamically manipulated using on-line analytical processing (OLAP) systems. DW and OLAP systems rely on a multidimensional model that includes measures, dimensions, and hierarchies. Measures are usually numeric additive values that are used for quantitative evaluation of different aspects about organization. Dimensions provide different analysis perspectives while hierarchies allow to analyze measures on different levels of detail.
Nevertheless, currently, designers as well as users find difficult to specify multidimensional elements required for analysis. One reason for that is the lack of conceptual models for DW and OLAP system design, which would allow to express data requirements on an abstract level without considering implementation details. Another problem is that many kinds of complex hierarchies arising in real-world situations are not addressed by current DW and OLAP systems.
In order to help designers to build conceptual models for decision-support systems and to help users in better understanding the data to be analyzed, in this thesis we propose the MultiDimER model - a conceptual model used for representing multidimensional data for DW and OLAP applications. Our model is mainly based on the existing ER constructs, for example, entity types, attributes, relationship types with their usual semantics, allowing to represent the common concepts of dimensions, hierarchies, and measures. It also includes a conceptual classification of different kinds of hierarchies existing in real-world situations and proposes graphical notations for them.
On the other hand, currently users of DW and OLAP systems demand also the inclusion of spatial data, visualization of which allows to reveal patterns that are difficult to discover otherwise. The advantage of using spatial data in the analysis process is widely recognized since it allows to reveal patterns that are difficult to discover otherwise.
However, although DWs typically include a spatial or a location dimension, this dimension is usually represented in an alphanumeric format. Furthermore, there is still a lack of a systematic study that analyze the inclusion as well as the management of hierarchies and measures that are represented using spatial data.
With the aim of satisfying the growing requirements of decision-making users, we extend the MultiDimER model by allowing to include spatial data in the different elements composing the multidimensional model. The novelty of our contribution lays in the fact that a multidimensional model is seldom used for representing spatial data. To succeed with our proposal, we applied the research achievements in the field of spatial databases to the specific features of a multidimensional model. The spatial extension of a multidimensional model raises several issues, to which we refer in this thesis, such as the influence of different topological relationships between spatial objects forming a hierarchy on the procedures required for measure aggregations, aggregations of spatial measures, the inclusion of spatial measures without the presence of spatial dimensions, among others.
Moreover, one of the important characteristics of multidimensional models is the presence of a time dimension for keeping track of changes in measures. However, this dimension cannot be used to model changes in other dimensions.
Therefore, usual multidimensional models are not symmetric in the way of representing changes for measures and dimensions. Further, there is still a lack of analysis indicating which concepts already developed for providing temporal support in conventional databases can be applied and be useful for different elements composing a multidimensional model.
In order to handle in a similar manner temporal changes to all elements of a multidimensional model, we introduce a temporal extension for the MultiDimER model. This extension is based on the research in the area of temporal databases, which have been successfully used for modeling time-varying information for several decades. We propose the inclusion of different temporal types, such as valid and transaction time, which are obtained from source systems, in addition to the DW loading time generated in DWs. We use this temporal support for a conceptual representation of time-varying dimensions, hierarchies, and measures. We also refer to specific constraints that should be imposed on time-varying hierarchies and to the problem of handling multiple time granularities between source systems and DWs.
Furthermore, the design of DWs is not an easy task. It requires to consider all phases from the requirements specification to the final implementation including the ETL process. It should also take into account that the inclusion of different data items in a DW depends on both, users' needs and data availability in source systems. However, currently, designers must rely on their experience due to the lack of a methodological framework that considers above-mentioned aspects.
In order to assist developers during the DW design process, we propose a methodology for the design of conventional, spatial, and temporal DWs. We refer to different phases, such as requirements specification, conceptual, logical, and physical modeling. We include three different methods for requirements specification depending on whether users, operational data sources, or both are the driving force in the process of requirement gathering. We show how each method leads to the creation of a conceptual multidimensional model. We also present logical and physical design phases that refer to DW structures and the ETL process.
To ensure the correctness of the proposed conceptual models, i.e. with conventional data, with the spatial data, and with time-varying data, we formally define them providing their syntax and semantics. With the aim of assessing the usability of our conceptual model including representation of different kinds of hierarchies as well as spatial and temporal support, we present real-world examples. Pursuing the goal that the proposed conceptual solutions can be implemented, we include their logical representations using relational and object-relational databases.
Doctorat en sciences appliquées
info:eu-repo/semantics/nonPublished
Ma, Kai Michael. "Revitalization of urban industrial waterfront area : the redevelopment of Taikoo Warehouses area of Guangzhou /." View the Table of Contents & Abstract, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42927547.
Full textPudleiner, David Burl. "Using uncertainty and sensitivity analysis to inform the design of net-zero energy vaccine warehouses." Thesis, Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52232.
Full textMandke, Yashodhan Vikas. "Using Haptics and Vibro-Tactile Technology to Assist Hard-of-Hearing Warehouse Employees." Miami University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=miami1524672552749124.
Full textMa, Kai Michael, and 馬愷. "Revitalization of urban industrial waterfront area: the redevelopment of Taikoo Warehouses area ofGuangzhou." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B45009843.
Full textKhan, Muhammad Aqib. "Design and control of a robotic system based on mobile robots and manipulator arms for picking in logistics warehouses." Thesis, Normandie, 2020. http://www.theses.fr/2020NORMLH31.
Full textLogistics involves the storage and displacement of goods. These goods are stored in warehouses and shipped to retailers in pallets. Pallets are produced on a customer’s order. Order picking for a pallet is a fatigue induced process resulting in poor performance of the workers, decreasing the productivity and inducing delays in supply chain. Flexibility is introduced to increase productivity by commissioning robots for process automation. These robots consist of autonomous ground vehicles for transporting freight and static manipulators for pick and place. A static robot has limited workspace and the capability of a manipulator is significantly enhanced by adding a mobile base. Mobile manipulation is now being exploited for pick & place and pallet production. This thesis presents a first attempt to achieve autonomous palletization using mobile manipulation. To acquire palletization by mobile manipulation requires the identification of functional blocks, to conceive a framework to achieve this task. A thorough state of the art has been prepared in this thesis corresponding to each element of the global framework. To realize the proof of concept, a prototype has been developed by leveraging existing technologies, by integrating a mobile base with manipulator and a grasping system with a gripping element. For each functional block of the global framework, control execution strategies have been developed and tested in industrial environment. Specifically, localization is acquired by the use of synthetic landmarks, a motion planning and control strategy is employed for global navigation and a rack tracking motion control has been developed for moving inside the racks. To combine and execute all the elements without deadlocks a coordination framework is used as a global supervisor. The path planner for global navigation is based on the shortest distance between two points, and rack tracking is developed by applying the conventional Hough transform to the lidar data and using the output in a nonlinear controller, while the motion planner for manipulation is based on linear trajectories. The framework for supervisory control is based on discrete event systems topology and state machines corresponding to each element have been modelized using Petri nets. Finally, the framework has been tested for a complete picking task on the mobile manipulator to validate the selection of strategies and performance of each functional element. The successful demonstration has been concluded as a first step towards the evolution of autonomous palletization
Habibulla, Murtuza. "Analyzing the performance of an order accumulation and sortation system using simulation a design of experiments approach." Ohio : Ohio University, 2001. http://www.ohiolink.edu/etd/view.cgi?ohiou1173895842.
Full textMangotra, Divya. "Integrated Decisions for Supply Chain Design and Inventory Allocation Problem." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19814.
Full textMedin, Robin. "Gesture-Driven Interaction in Head-Mounted Display AR: Guidelines for Design Within the Context of the Order Picking Process in Logistic Warehouses." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-23677.
Full textCheok, Tuan Sun. "Design and implementation of a micro-computer based bar coding data collection system for improving warehouse information handling and cost control." Ohio : Ohio University, 1990. http://www.ohiolink.edu/etd/view.cgi?ohiou1183488025.
Full textDevis, Gallego Sergio. "Una metodología para el diseño estratégico de almacenes de reserva basada en la selección de tecnologías y políticas de gestión." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/61444.
Full text[ES] El objetivo perseguido con el presente trabajo ha sido el de desarrollar una metodología de diseño de sistemas almacenamiento, ofreciendo igualmente las herramientas matemáticas necesarias para la toma de decisiones. Es por todo ello que con la presente tesis se han conseguido alcanzar los siguientes propósitos: 1- Definir una serie de pasos a seguir en el diseño de sistemas de almacenamiento. 2- En cada uno de los pasos descritos, establecer los criterios a tener a en cuenta para la toma de decisiones que permiten avanzar en el diseño del mismo. 3- Determinar las variables a tener en cuenta y como la relación entre estas mismas define las soluciones posibles alcanzadas, de forma que de todas las posibles combinaciones posibles en el diseño de almacenes, algunas se descartan por imposibilidades físicas. 4- Desarrollar herramientas matemáticas como el algoritmo de experimentación definido en el presente trabajo que permitan la elección de las mejores soluciones posibles. 5- Determinación de procedimientos de comprobación de que la solución adoptada corresponde con los objetivos perseguidos y se ajusta a las restricciones establecidas. 6- Validar la metodología y el algoritmo de experimentación definidos con la aplicación a un caso práctico real, que ha permitido definir el mejor diseño posible ajustado a unos objetivos y restricciones reales para satisfacer las necesidades planteadas. De esta forma, el vacío existente en la literatura relacionada con el diseño de sistemas de almacenamiento puede ser cubierto con la aportación realizada por el presente trabajo que pueda permitir a los expertos en este campo, apoyarse en la utilización de la misma para seguir avanzando en el complejo mundo del diseño de sistemas de almacenamiento.
[CAT] L'objectiu perseguit amb el present treball ha sigut el de desenvolupar una metodologia de disseny de sistemes emmagatzematge, oferint igualment les eines matemàtiques necessàries per a la presa de decisions. És per tot això que amb la present tesi s'han aconseguit assolir els següents propòsits : 1- Definir una sèrie de passos a seguir en el disseny de sistemes de emmagatzematge. 2- En cada un dels passos descrits, establir els criteris a tindre en compte per a la pressa de decisions que permeten avançar en el disseny del mateix. 3- Determinar les variables a tenir en compte i com la relació entre aquestes mateixes defineix les solucions possibles aconseguides, de manera que de totes les possibles combinacions possibles en el disseny de magatzems, algunes es descarten per impossibilitats físiques. 4- Desenvolupar eines matemàtiques com l'algoritme d'experimentació definit en el present treball que permetin l'elecció de les millors solucions possibles. 5- Determinació de procediments de comprovació que la solució adoptada correspon amb els objectius perseguits i s'ajusta a les restriccions establertes. 6- Validar la metodologia i l'algoritme d'experimentació definits amb l'aplicació a un cas pràctic real , que ha permès definir un el millor disseny posible ajustat a uns objectius i restriccions reals per satisfer les necessitats plantejades . D'aquesta manera , el buit existent en la literatura relacionada amb el disseny de sistemes d'emmagatzematge pot ser cobert amb l'aportació realitzada pel present treball que pugui permetre als experts en aquest camp , recolzar-se en la utilització de la mateixa per seguir avançant en el complex món del disseny de sistemes d'emmagatzematge.
Devis Gallego, S. (2016). Una metodología para el diseño estratégico de almacenes de reserva basada en la selección de tecnologías y políticas de gestión [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/61444
TESIS
Brand, Adele. "DiD Warehouse." Diss., University of Pretoria, 2003. http://hdl.handle.net/2263/29811.
Full textDissertation (MArch (Prof))--University of Pretoria, 2003.
Architecture
unrestricted
Yu, Ka-wah Janet, and 余嘉華. "Visual arts warehouses, Yau Tong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31986237.
Full textNoaman, Amin Yousef. "Distributed data warehouse architecture and design." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0027/NQ51662.pdf.
Full textCOSTA, NAYARA NOGUEIRA DA. "WAREHOUSE DESIGN: A SYSTEMATIC LITERATURE REVIEW." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=21401@1.
Full textCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
A implantação de instalações de armazenagem é vista como uma fonte de aumento do nível de serviço e redução de custos ao longo da cadeia de suprimentos. A presente dissertação busca analisar o estado do arte a respeito de design de armazéns utilizando a metodologia de revisão sistemática de literatura. O período de publicações levantado foi do ano de 1999 até 2011 e a base de dados eletrônica explorada foi a Science Direct. Para guiar a revisão foi elaborado um modelo conceitual contemplando as decisões que fazem parte do escopo do design de armazéns, o qual foi chamado de framework. O framework está dividido em três grandes partes. A primeira parte, input, representa as decisões que precedem ao desenho e implantação das operações de armazenagem em uma instalação e que impactam diretamente nesta fase. A segunda parte é desenho e implantação, e traz as decisões mais relevantes para instalar um armazém e quais as métricas usadas para acompanhar a performance das operações do armazém. E por fim, tem-se a última parte, output que representa o objetivo final do design de armazém para a empresa. A forma como o framework está estruturado sugere que os níveis de decisões são interativos, não podendo ser analisados separadamente, fato comprovado pela análise dos trabalhos encontrados. Por fim, pretende-se que esta dissertação sirva com uma ferramenta para profissionais de design de armazéns, bem como suporte a pesquisas futuras sobre o tema.
The deployment of warehousing facilities is seen as a source of increased level of service and reducing costs along the supply chain. This master thesis aims to analyze the state of the art regarding the design of warehouses using the methodology of systematic literature review. The period of publication raised ranges from 1999 until 2011 and Science Direct was the electronic database explored. To guide the review a conceptual model was developed considering the decisions that are beyond the scope of the design of warehouses, which was called a framework. The framework is divided into three major parts. The first part, input, represents the decisions that precede the design and deployment of warehousing operations in a facility and which directly impact at this stage. The second part is the design and deployment, and brings the most important decisions to install a warehouse and what metrics are used to evaluate the performance of warehouse operations. Finally, the last part, output, representes the the final goal of designing a warehouse for the company. The way the framework is structured suggests that levels of decisions are interactive and can not be analyzed separately, a fact corroborated by the analysis of the studies found. Finally, it is expected that the present master thesis becomes a tool to warehouse design professionals, as well as support for future research on the subject.
Gomes, Daniel. "Web Modelling for Web Warehouse Design." Doctoral thesis, Department of Informatics, University of Lisbon, 2007. http://hdl.handle.net/10451/14294.
Full textOzturk, Aybuke. "Design, Implementation and Analysis of a Description Model for Complex Archaeological Objects." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSE2048/document.
Full textCeramics are one of the most important archaeological materials to help in the reconstruction of past civilizations. Information about complex ceramic objects is composed of textual, numerical and multimedia data, which induce several research challenges addressed in this thesis. From a technical perspective, ceramic databases have different file formats, access protocols and query languages. From a data perspective, ceramic data are heterogeneous and experts have differentways of representing and storing data. There is no standardized content and terminology, especially in terms of description of ceramics. Moreover, data navigation and observation are difficult. Data integration is also difficult due to the presence of various dimensions from distant databases, which describe the same categories of objects in different ways.Therefore, the research project presented in this thesis aims to provide archaeologists and archaeological scientists with tools for enriching their knowledge by combining different information on ceramics. We divide our work into two complementary parts: (1) Modeling of Complex Archaeological Data and (2) Clustering Analysis of Complex Archaeological Data. The first part of this thesis is dedicated to the design of a complex archaeological database model for the storage of ceramic data. This database is also used to source a data warehouse for doing online analytical processing (OLAP). The second part of the thesis is dedicated to an in-depth clustering (categorization) analysis of ceramic objects. To do this, we propose a fuzzy approach, where ceramic objects may belong to more than one cluster (category). Such a fuzzy approach is well suited for collaborating with experts, by opening new discussions based on clustering results.We contribute to fuzzy clustering in three sub-tasks: (i) a novel fuzzy clustering initialization method that keeps the fuzzy approach linear; (ii) an innovative quality index that allows finding the optimal number of clusters; and (iii) the Multiple Clustering Analysis approach that builds smart links between visual, textual and numerical data, which assists in combining all types ofceramic information. Moreover, the methods we propose could also be adapted to other application domains such as economy or medicine
Munir, Wahab. "Optimization of Data Warehouse Design and Architecture." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-37233.
Full textDaraei, Maryam. "Warehouse Redesign Process: A case study at Enics Sweden AB." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-19508.
Full textTse, Ka-kwan Charmaine, and 謝鎵君. ""Click-and-Mortar" Bookstore + Distribution Warehouse." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31986808.
Full textPornnoparat, Dangfun. "Warehouse network design for a commodity chemicals manufacturer." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107512.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (page 31).
The choice of the location and number of warehouses is a strategic-level decision that can have a long- lasting impact on a firm's performance. Warehouse locations and their capacities determine how products flow within a firm's supply chain, which directly influences a firm's performance in terms of cost and service level. This research applies a mixed integer linear programming method to evaluate factors that drive existing inefficiencies in a warehouse network belonging to a Thai commodity chemicals manufacturer. The objective is to determine an optimal warehouse network configuration that minimizes the firm's total transportation and warehousing cost. Inventory turns and storage capacity constraints are found to be the key drivers of inefficiencies. The optimal solution suggests that the company should retain fewer warehouses and expand capacities at these locations. As the company continues to grow, the potential benefit from expansion becomes greater.
by Dangfun Pornnoparat.
M. Eng. in Logistics
Agrawal, Vikas R. "Data warehouse operational design : view selection and performance simulation." Toledo, Ohio : University of Toledo, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=toledo1104773641.
Full textTypescript. "Submitted as partial fulfillment of the requirements for the Doctor of Philosophy degree in Manufacturing Management and Engineering. " "A dissertation entitled"--at head of title. Title from title page of PDF document. Bibliography: p. 113-118.
AGRAWAL, VIKAS R. "Data Warehouse Operational Design: View Selection and Performance Simulation." University of Toledo / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1104773641.
Full textNayyar, Raghu. "Visualising Autonomous Warehouse Data Streams Through User-Centered Design." Thesis, KTH, Medieteknik och interaktionsdesign, MID, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233195.
Full textDenna studie ämnar att utveckla och utvärdera en design för ett dashboard som visualiserar dataströmmar från olika enheter som kan hittas i autonoma lager. Detta dashboard har utvecklats genom att använda metoder inom användarcentrerad design, som baserades på två iterationer med intressenter som är experter inom området, där semistrukturerade intervjuer gjordes. Denna studie diskuterar också de olika steg som är involverade i att bygga designen av detta dashboard, de olika beslut som togs i designprocessen, de tekniska aspekterna av de bibliotek som används och resultatet från de sessioner som hölls för att få feedback i slutet av projektet. Studien presenterar också det dashboard som utvecklades samt förklarar dess funktionalitet. Slutsatser dras från de semistrukturerade intervjuerna med respektive intressent och föreslår framtida funktioner som skulle vara möjliga att implementera.
Naviroj, Natachai. "A Warehouse Managed Inventory System for Multiple Retailers and Multiple Product." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1467052082.
Full textIvanović, Goran Gue Kevin R. "Aisle designs for unit-load warehouses with multiple pickup and deposit points." Auburn, Ala., 2007. http://repo.lib.auburn.edu/2007%20Fall%20Theses/Ivanovic_Goran_16.pdf.
Full textLester, Margaret C. "Factors in the design and development of a data warehouse for academic data." [Johnson City, Tenn. : East Tennessee State University], 2003. http://etd-submit.etsu.edu/etd/theses/available/etd-0328103-154549/unrestricted/Lester041403f.pdf.
Full textTitle from electronic submission form. ETSU ETD database URN: etd-0328103-154549. Includes bibliographical references. Also available via Internet at the UMI web site.
Naik, Vaibhav C. "Fuzzy C-means clustering approach to design a warehouse layout." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000437.
Full textIssa, Carla Mounir. "Data warehouse applications in modern day business." CSUSB ScholarWorks, 2002. https://scholarworks.lib.csusb.edu/etd-project/2148.
Full textRösch, Philipp. "Design von Stichproben in analytischen Datenbanken." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-22916.
Full textRecent studies have shown the fast and multi-dimensional growth in analytical databases: Over the last four years, the data volume has risen by a factor of 10; the number of users has increased by an average of 25% per year; and the number of queries has been doubling every year since 2004. These queries have increasingly become complex join queries with aggregations; they are often of an explorative nature and interactively submitted to the system. One option to address the need for interactivity in the context of this strong, multi-dimensional growth is the use of samples and an approximate query processing approach based on those samples. Such a solution offers significantly shorter response times as well as estimates with probabilistic error bounds. Given that joins, groupings and aggregations are the main components of analytical queries, the following requirements for the design of samples in analytical databases arise: 1) The foreign-key integrity between the samples of foreign-key related tables has to be preserved. 2) Any existing groups have to be represented appropriately. 3) Aggregation attributes have to be checked for extreme values. For each of these sub-problems, this dissertation presents sampling techniques that are characterized by memory-bounded samples and low estimation errors. In the first of these presented approaches, a correlated sampling process guarantees the referential integrity while only using up a minimum of additional memory. The second illustrated sampling technique considers the data distribution, and as a result, any arbitrary grouping is supported; all groups are appropriately represented. In the third approach, the multi-column outlier handling leads to low estimation errors for any number of aggregation attributes. For all three approaches, the quality of the resulting samples is discussed and considered when computing memory-bounded samples. In order to keep the computation effort - and thus the system load - at a low level, heuristics are provided for each algorithm; these are marked by high efficiency and minimal effects on the sampling quality. Furthermore, the dissertation examines all possible combinations of the presented sampling techniques; such combinations allow to additionally reduce estimation errors while increasing the range of applicability for the resulting samples at the same time. With the combination of all three techniques, a sampling technique is introduced that meets all requirements for the design of samples in analytical databases and that merges the advantages of the individual techniques. Thereby, the approximate but very precise answering of a wide range of queries becomes a true possibility
Brito, A. E. S. C. "Configuring Simulation Models Using CAD Techniques: A New Approach to Warehouse Design." Thesis, Cranfield University, 1992. http://dspace.lib.cranfield.ac.uk/handle/1826/4640.
Full textLindahl, Mattias, Erik Sundin, Tomohiko Sakao, and Yoshiki Shimomura. "An application of a service design tool at a global warehouse provider." Linköpings universitet, Institutionen för konstruktions- och produktionsteknik, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-29932.
Full textSmith, Clifford A. (Clifford Allen) 1972. "Simulation model used as design improvement decision tool for warehouse material flow." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34830.
Full textIncludes bibliographical references (p. 109-110).
The basis for this thesis involved a six and a half month LFM internship at Efficient Storage, Shipping, and Selection. ES3, Efficient Storage, Shipping, and Selection, is a third party logistics firm that specializes in a vendor-neutral consolidation model for the food distribution industry. ES3 receives, stores, and ships multi-vendor products through a distribution center (DC) in York, Pennsylvania. The product is moved and stored by an Automated Storage and Retrieval System (ASRS) which consists of a network of conveyors, vertical lifts, and Selection and Retrieval Machines (SRMs). The ASRS system is not performing to the designed put-away and shipping rates, thus limiting the DC's overall performance during peak operations. The warehouse operations and warehouse design teams had numerous design suggestions for improving the ASRS operations, but it was difficult to predict the enhancement or impact on performance. A simulation model for the inbound system was created to analyze the impact, prioritize, and develop new ideas for improving the system.
by Clifford A. Smith.
S.M.
M.B.A.
Abdul, Hamid Nor Hayati. "Seismic damage avoidance design of warehouse buildings constructed using precast hollow core panels." Thesis, University of Canterbury. Civil Engineering, 2006. http://hdl.handle.net/10092/1153.
Full textIveroth, Axel. "Using Work Domain Analysis to Evaluate the Design of a Data Warehouse System." Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-384575.
Full textSteffey, David William. "Layout design analysis for the storage area in a distribution center." 2009. http://etd.louisville.edu/data/UofL0472t2009.pdf.
Full textTitle and description from thesis home page (viewed May 15, 2009). Department of Industrial Engineering. Vita. "May 2009." Includes bibliographical references (p. 34).
"Automating the multidimensional design of data warehouses." Universitat Politècnica de Catalunya, 2010. http://www.tesisenxarxa.net/TDX-0528110-134628/.
Full textFernandes, Luís Miguel Teixeira. "Improving Operations and Layout Design in Retail Cross-Docking Warehouses." Master's thesis, 2018. https://hdl.handle.net/10216/113719.
Full text