Relevant bibliographies by topics / Warehouse performance

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Warehouse performance'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Warehouse performance"

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Kusrini, Elisa, Fadrizal Novendri, and Vembri Noor Helia. "Determining key performance indicators for warehouse performance measurement – a case study in construction materials warehouse." MATEC Web of Conferences 154 (2018): 01058. http://dx.doi.org/10.1051/matecconf/201815401058.

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Warehouse performance measurement is needed to improve performance of logistics system. In order to improve warehouse performance, it is necessary to identify Key Performance Indicator (KPI). Different warehouses have different KPI, therefore this research aims to identify the most important KPI of warehouse so that warehouse manager can determine corrective actions in their warehouse efficiently and effectively. In this research, 25 KPI of warehouse are identified in five warehouse activities based on Frazelle model. The most important KPI are then determined in each warehouse activity using Analytical Hierarchy Process (AHP). Warehouse performance are measured and final score is determined using SNORM. Improvement steps are proposed base on benchmarking among warehouses. Warehouse performance measurement is conducted in 5 construction’s material warehouses located in Yogyakarta, Indonesia. From this study, it is found that most important KPI for receiving is productivity (receive per man-hour), KPI for put away is cycle time (put away cycle time), KPI for storage is utilization (% location and cube occupied), KPI for order picking is cycle time (order picking cycle time) and KPI for shipping is productivity (order prepared for shipment per man-hour). Improving warehouse performance could be done by comparing warehouse performance with the best performance among peer group.
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Phan, Mai Ha, Ha Quang Thinh Ngo, Tien Trung Kieu, and Linh Y. Thai. "Redesigning Finished Product Warehouse Layout - A Case Study." Applied Mechanics and Materials 902 (September 2020): 103–13. http://dx.doi.org/10.4028/www.scientific.net/amm.902.103.

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System engineering methods are often used to design complex systems like airplanes. However, this method is also useful to propose solutions to redesign logistics systems such as warehouses and transport systems. This paper will apply system engineering in analyzing the late order problem at a pesticide company, thereby surveying stakeholders needs for warehouse re-designing. The functional analysis in the warehouse will be carried out in the concept analysis section to propose warehouse’s layout redesign alternatives that based on the demand of storage capacity and throughput. The authors also used the AHP method to select the final design layout. The detailed design section builds the operation process for the warehouse as well as the codification for commodity storage slots along with these tables forms that support for warehouse management. These solutions increase warehouse performance as well as the utilization in warehouses when applied in practice. Therefore, the system engineering method should be used in warehouse’s redesign
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Islam, Md Rakibul, Syed Mithun Ali, Amir Mohammad Fathollahi-Fard, and Golam Kabir. "A novel particle swarm optimization-based grey model for the prediction of warehouse performance." Journal of Computational Design and Engineering 8, no. 2 (February 24, 2021): 705–27. http://dx.doi.org/10.1093/jcde/qwab009.

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Abstract Warehouses constitute a key component of supply chain networks. An improvement to the operational efficiency and the productivity of warehouses is crucial for supply chain practitioners and industrial managers. Overall warehouse efficiency largely depends on synergic performance. The managers preemptively estimate the overall warehouse performance (OWP), which requires an accurate prediction of a warehouse’s key performance indicators (KPIs). This research aims to predict the KPIs of a ready-made garment (RMG) warehouse in Bangladesh with a low forecasting error in order to precisely measure OWP. Incorporating advice from experts, conducting a literature review, and accepting the limitations of data availability, this study identifies 13 KPIs. The traditional grey method (GM)—the GM (1, 1) model—is established to estimate the grey data with limited historical information but not absolute. To reduce the limitations of GM (1, 1), this paper introduces a novel particle swarm optimization (PSO)-based grey model—PSOGM (1, 1)—to predict the warehouse’s KPIs with less forecasting error. This study also uses the genetic algorithm (GA)-based grey model—GAGM (1, 1)—the discrete grey model—DGM (1, 1)—to assess the performance of the proposed model in terms of the mean absolute percentage error and other assessment metrics. The proposed model outperforms the existing grey models in projecting OWP through the forecasting of KPIs over a 5-month period. To find out the optimal parameters of the PSO and GA algorithms before combining them with the grey model, this study adopts the Taguchi design method. Finally, this study aims to help warehouse professionals make quick OWP estimations in advance to take control measures regarding warehouse productivity and efficiency.
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Abushaikha, Ismail, Loay Salhieh, and Neil Towers. "Improving distribution and business performance through lean warehousing." International Journal of Retail & Distribution Management 46, no. 8 (August 13, 2018): 780–800. http://dx.doi.org/10.1108/ijrdm-03-2018-0059.

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Purpose Recent literature recognizes the role of warehouses in enhancing the overall logistics performance. Thus, lean thinking has recently found its way in supporting warehouse and distribution centre operations. The purpose of this paper is to examine the relationships among warehouse waste reduction practices, warehouse operational performance, distribution performance and business performance. Design/methodology/approach A two-stage study was conducted. First, a Delphi technique was adopted to develop a relevant questionnaire. Second, this questionnaire was used to measure the degree of waste reduction in the different warehouse activities and to test the developed research hypotheses. The authors test the hypotheses with a sample of Middle Eastern warehouse operators. Findings There exists a positive relationship between warehouse waste reduction level and both warehouse operational performance and distribution performance. There was no direct relationship between warehouse waste reduction level and business performance. However, results revealed that the relationship between warehouse waste reduction level and business performance was mediated by warehouse operational performance and distribution performance. Practical implications The developed instrument provides a guide for logistics managers as to understand how to reduce waste in each warehousing activity. The results also inform logistics managers of how distribution performance can be improved through lean warehousing. The resulting performance improvements in the distribution operations will ultimately be reflected in the logistics performance of downstream retailers. Originality/value The study develops an original instrument for measuring waste reduction in warehouses, and provides insights into the evolving lean warehousing research area. This is the first scholarly work to uncover the relationships among warehouse waste reduction practices, warehouse operational performance, distribution performance and business performance.
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Akhtar, Pervaiz, and Christian Fischer. "Supervision environments and performance of UK dairy warehouses: a path analysis." British Food Journal 116, no. 6 (May 27, 2014): 1000–1013. http://dx.doi.org/10.1108/bfj-12-2012-0313.

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Purpose – For team leaders or supervisors (functional coordinators (FCs)) warehouses are one of the most difficult places to supervise and manage subordinate workers. FCs themselves can be supervised by their bosses in different ways, either semi-autonomously or in a traditional authoritarian manner. However, different supervision environments for FCs may affect the performance of the warehouses they work in. The purpose of this paper is to investigate the linkages between different supervision environments; FCs’ trust in and satisfaction with their bosses, warehouse service quality and company growth. Design/methodology/approach – Structural equation modelling (path analysis) is applied to a randomly drawn data sample (n=95) of dairy warehouses from the UK. Findings – The results show that semi-autonomous supervision has a strong positive impact on FCs’ trust and satisfaction and on warehouse service quality which positively affects company growth. In addition, FCs’ trust and satisfaction are found to be important antecedents of warehouse service quality and they also directly enhance company growth. In contrast, traditional supervision does not build trust nor creates satisfaction and has a negative direct impact on warehouse service quality. Research limitations/implications – While conducted based on a small sample, the study examines important performance determinants and thus enhances the understanding of how to better manage warehouses in particular in a logistically challenging industry. Originality/value – This study empirically analyses the linkages between supervision environments, warehouse service quality and company growth and thus contributes to determine a best-practice approach for modern warehouse management.
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YAO, CAN-ZHONG, JI-NAN LIN, and XU-ZHOU ZHENG. "MULTIFRACTAL DETRENDED CROSS-CORRELATION ANALYSIS FOR LARGE-SCALE WAREHOUSE-OUT BEHAVIORS." Fractals 23, no. 04 (December 2015): 1550044. http://dx.doi.org/10.1142/s0218348x15500449.

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Based on cross-correlation algorithm, we analyze the correlation property of warehouse-out quantity of different warehouses, respectively, and different products of each warehouse. Our study identifies that significant cross-correlation relationship for warehouse-out quantity exists among different warehouses and different products of a warehouse. Further, we take multifractal detrended cross-correlation analysis for warehouse-out quantity among different warehouses and different products of a warehouse. The results show that for the warehouse-out behaviors of total amount, different warehouses and different products of a warehouse significantly follow multifractal property. Specifically for each warehouse, the coupling relationships of rebar and wire rod reveal long-term memory characteristics, no matter for large fluctuation or small one. The cross-correlation effect on long-range memory property among warehouses probably has less to do with product types,and the long-term memory of YZ warehouse is greater than others especially in total amount and wire rod product. Finally, we shuffle and surrogate data to explore the source of multifractal cross-correlation property in logistics system. Taking the total amount of warehouse-out quantity as example, we confirm that the fat-tail distribution of warehouse-out quantity sequences is the main factor for multifractal cross-correlation. Through comparing the performance of the multifractal detrended cross-correlation analysis (MF-DCCA), centered multifractal detrending moving average cross-correlation analysis (MF-X-DMA) algorithms, the forward and backward MF-X-DMA algorithms, we find that the forward and backward MF-X-DMA algorithms exhibit a better performance than the other ones.
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Tahboub, Khaldoun K., and Loay Salhieh. "Warehouse Waste Reduction Level and Its Impact on Warehouse and Business Performance." Industrial and Systems Engineering Review 7, no. 2 (December 30, 2019): 85–101. http://dx.doi.org/10.37266/iser.2019v7i2.pp85-101.

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Warehouses considered as having a strategic role in supporting the overall competitiveness of the supply chain through achieving improved efficiency. Accordingly, lean thinking have recently found its way in the warehouse operations. The aim of this paper is to propose and test a model to assess the level of waste reduction practices and its impact on warehouse and business performance, and to encourage scholars to develop models to assess lean thinking and waste reduction in warehouse operations. A Delphi technique used in order to develop related questionnaires to measure the degree of waste reduction in the different warehouse activities. The results suggested the existence of a positive relationship between waste reduction activities and business performance and warehouse operational performance. Finally, this paper provides practical implications for warehouse and supply chains managers and directions for future researchers in this field.
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Kusrini, Elisa, Citra Indah Asmarawati, Galuh Masita Sari, Anisa Nurjanah, Alex Kisanjani, Sadiq Ardo Wibowo, and Indro Prakoso. "Warehousing performance improvement using Frazelle Model and per group benchmarking: A case study in retail warehouse in Yogyakarta and Central Java." MATEC Web of Conferences 154 (2018): 01091. http://dx.doi.org/10.1051/matecconf/201815401091.

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Warehouse performance management has an important role in improving logistic's business activities. Good warehouse management could increase profit, time delivery, quality and customer service. This study is conducted to assess performance of retail warehouses in some supermarket located in Central Java and Yogyakarta. Performance improvement is proposed base on the warehouse measurement using Frazelle model (2002), that measure on five indicators, namely Financial, Productivity, Utility, Quality and Cycle time along five business process in warehousing, i.e. Receiving, Put Away, Storage, Order picking and shipping. In order to obtain more precise performance, the indicators are weighted using Analytic Hierarchy Analysis (AHP) method. Then, warehouse performance are measured and final score is determined using SNORM method. From this study, it is found the final score of each warehouse and opportunity to improve warehouse performance using peer group benchmarking
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Morley, Stuart. "Retail warehouse performance." Journal of Retail & Leisure Property 3, no. 2 (October 2003): 142–49. http://dx.doi.org/10.1057/palgrave.rlp.5090171.

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Hamad, Murtadha M., and Muhammed Abdul Raheem. "EVALUATION OF BITMAP INDEX USING PROTOTYPE DATA WAREHOUSE." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2, no. 2 (April 30, 2012): 39–42. http://dx.doi.org/10.24297/ijct.v2i1.2614.

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Bitmap indices have become popular access methods for data warehouse applications and decision support systems with large amounts of read-mostly data. This paper could arrive a number of results such as ; Bitmap Index highly improves the performance of Query Answering in Data Warehouses, It highly increases the efficiency of Complex Query processing through using bitwise operations (AND, OR). A prototype of Data Warehouse “STUDENTS DW” has been built according to the conditions of W. Inomn of Data Warehouses. This prototype is built for student's information.
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Dissertations / Theses on the topic "Warehouse performance"

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Schefczyk, Michael. "Warehouse performance analysis: techniques and applications." Thesis, Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/25125.

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Mathews, Reena. "Simple Strategies to Improve Data Warehouse Performance." NCSU, 2004. http://www.lib.ncsu.edu/theses/available/etd-05172004-213304/.

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Data warehouse management is fast becoming one of the most popular and important topics in industries today. For business executives, it promises significant competitive advantage for their companies, while presenting the information system managers a way to overcome the obstructions in providing business information to managers and other users. Here the company is going through the problem of inefficient performance of its data warehouse. To find an appropriate solution to this problem we first try to understand the data warehouse concept and its basic architecture, followed by an in depth study of the company data warehouse and the various issues affecting it. We propose and evaluate a set of solutions including classification of suppliers, implementing corporate commodity classification and coding system, obtaining level three spend details for PCard purchases, etc. The experimental results show considerable improvement in the data quality and the data warehouse performance. We further support these recommendations by evaluating the return on investment for improved quality data. Lastly, we discuss the future scope and other possible improvement techniques for obtaining better results.
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Francis, Jimmy E. "A data warehouse architecture for DoD healthcare performance measurements." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA369640.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, September 1999.
"September 1999". Thesis advisor(s): Daniel R. Dolk, Gregory Hildebrandt. Includes bibliographical references (p. 119). Also available online.
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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.

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Dissertation (Ph.D.)--University of Toledo, 2005.
Typescript. "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.
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CARVALHO, ELAINE ALVES DE. "HEURISTICS FOR DATA WAREHOUSE REQUIREMENTS ELICITATION USING PERFORMANCE INDICATORS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=15136@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
As organizações se deparam com uma necessidade cada vez maior de mudar e evoluir, mas para isso elas precisam tomar as decisões corretas. Para essa tomada de decisão, as empresas estão adotando os recursos disponibilizados pela Tecnologia da Informação (TI) como parte fundamental para apoiar suas decisões. Um componente de TI essencial para aprimorar o processo de tomada de decisão é o data warehouse. Para cumprir bem o seu papel, o data warehouse deve ser bem definido. Embora existam diversas abordagens que buscam melhorar a tarefa de identificação dos requisitos para data warehouses, poucas exploram as contribuições da Engenharia de Processos de Negócios (EPN) no processo de definição dos requisitos. Esta dissertação estuda um meio de aprimorar a tarefa de elicitação de requisitos para data warehouses, utilizando indicadores de desempenho aliados aos processos de negócio. Para isso é sugerido um conjunto de heurísticas que visam, a partir dos indicadores de desempenho, orientar a descoberta dos requisitos de data warehouse. A aplicação das heurísticas propostas é feita em um caso, facilitando a compreensão da abordagem sugerida nesse trabalho.
Organizations need to change and evolve, but for that it is necessary to make the right decisions. For this decision, companies are using Information Technology (IT) as a fundamental part to support their decisions. An essential IT component to improve the process of decision making is the data warehouse. In order to fulfill its role well, the data warehouse must be well defined. There are various approaches that try to improve the task of identifying data warehouses requirements, but few explore the contributions of Business Processes Engineering (BPE) in the process of requirements gathering. This dissertation studies how to improve data warehouses requirements elicitation using performance indicators allied to business processes. For this it is suggested a set of heuristics designed to guide performance measures identification and data warehouse requirements discovery. The heuristics are applied in a case to facilitate understanding of suggested approach in this work.
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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.

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Hedler, Francielly. "Global warehouse management : a methodology to determine an integrated performance measurement." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAI082/document.

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La complexité croissante des opérations dans les entrepôts a conduit les entreprises à adopter un grand nombre d'indicateurs de performances, ce qui rend leur gestion de plus en plus difficile. De plus, comme ces nombreux indicateurs sont souvent interdépendants, avec des objectifs différents, parfois contraires (par exemple, le résultat d'un indicateur de coût doit diminuer, tandis qu'un indicateur de qualité doit être maximisé), il est souvent très difficile pour un manager d'évaluer la performance globale des systèmes logistiques, comprenant l'entrepôt. Dans ce contexte, cette thèse développe une méthodologie pour atteindre une mesure agrégée de la performance de l'entrepôt. Elle comprend quatre étapes principales: (i) le développement d'un modèle analytique d'indicateurs de performance habituellement utilisés pour la gestion de l'entrepôt; (ii) la définition de relations entre les indicateurs, de façon analytique et statistique ; (iii) l'agrégation de ces indicateurs dans un modèle intégré; (iv) la proposition d'une échelle pour suivre l'évolution de la performance de l'entrepôt au fil du temps, selon les résultats du modèle agrégé.La méthodologie est illustrée sur un entrepôt théorique pour démontrer son applicabilité. Les indicateurs utilisés pour évaluer la performance de l'entrepôt proviennent de la littérature, et une base de données est générée pour permettre l'utilisation des outils mathématiques. La matrice jacobienne est utilisée pour définir de façon analytique les relations entre les indicateurs, et une analyse en composantes principales est faite pour agréger les indicateurs de façon statistique. Le modèle agrégé final comprend 33 indicateurs, répartis en six composants différents, et l'équation de l'indicateur de performance globale est obtenue à partir de la moyenne pondérée de ces six composants. Une échelle est développée pour l'indicateur de performance globale en utilisant une approche d'optimisation pour obtenir ses limites supérieure et inférieure. L'utilisation du modèle intégré est testée sur deux situations différentes de performance de l'entrepôt, et des résultats intéressants sur la performance finale de l'entrepôt sont discutés. Par conséquent, nous concluons que la méthodologie proposée atteint son objectif en fournissant un outil d'aide à la décision pour les managers afin qu'ils puissent être plus efficaces dans la gestion globale de la performance de l'entrepôt, sans négliger des informations importantes fournis par les indicateurs
The growing warehouse operation complexity has led companies to adopt a large number of indicators, making its management increasingly difficult. It may be hard for managers to evaluate the overall performance of the logistic systems, including the warehouse, because the assessment of the interdependence of indicators with distinct objectives is rather complex (e.g. the level of a cost indicator shall decrease, whereas a quality indicator level shall be maximized). This fact could lead to biases in the analysis executed by the manager in the evaluation of the global warehouse performance.In this context, this thesis develops a methodology to achieve an integrated warehouse performance measurement. It encompasses four main steps: (i) the development of an analytical model of performance indicators usually used for warehouse management; (ii) the definition of indicator relationships analytically and statistically; (iii) the aggregation of these indicators in an integrated model; (iv) the proposition of a scale to assess the evolution of the warehouse performance over time according to the integrated model results.The methodology is applied to a theoretical warehouse to demonstrate its application. The indicators used to evaluate the warehouse come from the literature and the database is generated to perform the mathematical tools. The Jacobian matrix is used to define indicator relationships analytically, and the principal component analysis to achieve indicator's aggregation statistically. The final aggregated model comprehends 33 indicators assigned in six different components, which compose the global performance indicator equation by means of component's weighted average. A scale is developed for the global performance indicator using an optimization approach to obtain its upper and lower boundaries.The usability of the integrated model is tested for two different warehouse performance situations and interesting insights about the final warehouse performance are discussed. Therefore, we conclude that the proposed methodology reaches its objective providing a decision support tool for managers so that they can be more efficient in the global warehouse performance management without neglecting important information from indicators
A crescente complexidade das operações em armazéns tem levado as empresasa adotarem um grande número de indicadores de desempenho, o que tem dificultadocada vez mais o seu gerenciamento. Além do volume de informações, os indicadores normalmentepossuem interdependências e objetivos distintos, as vezes até opostos (por exemplo,o indicador de custo deve ser reduzido enquanto o indicador de qualidade deve sempre seraumentado), tornando complexo para o gestor avaliar o desempenho logístico global dosistema, incluindo o armazém.Dentro deste contexto, esta tese desenvolve uma metodologia para obter uma medidaagregada do desempenho global do armazém. A metodologia é composta de quatro etapasprincipais: (i) o desenvolvimento de um modelo analítico dos indicadores de desempenhojá utilizados para o gerenciamento do armazém; (ii) a definição das relações entre os indicadoresde forma analítica e estatística; (iii) a agregação destes indicadores em um modelointegrado; (iv) a proposição de uma escala para avaliar a evolução do desempenho globaldo armazém ao longo do tempo, de acordo com o resultado do modelo integrado.A metodologia é aplicada em um armazém teórico para demonstrar sua aplicabilidade.Os indicadores utilizados para avaliar o desempenho do armazém são provenientesda literatura, e uma base de dados é gerada para permitir a utilização de ferramentasmatemáticas. A matriz jacobiana é utilizada para definir de forma analítica as relaçõesentre os indicadores, e uma análise de componentes principais é realizada para agregaros indicadores de forma estatística. O modelo agregado final compreende 33 indicadores,divididos em seis componentes diferentes, e a equação do indicador de desempenho globalé obtido a partir da média ponderada dos seis componentes. Uma escala é desenvolvidapara o indicador de desempenho global utilizando um modelo de otimização para obter oslimites superior e inferior da escala.Depois de testes com o modelo integrado, pôde-se concluir que a metodologia propostaatingiu seu objetivo ao fornecer uma ferramenta de ajuda à decisão para os gestores, permitindoque eles sejam mais eficazes no gerenciamento global do armazém sem negligenciarinformações importantes que são fornecidas pelos indicadores
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Tashakor, Ghazal. "Delivering Business Intelligence Performance by Data Warehouse and ETL Tuning." Thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-20062.

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Abstract The aim of this thesis is to show how numerous organizations such as CGI Consultant attempt to introduce BI-Solutions through IT and other operational methods in order to deal with large companies, which want to make their competitive market position stronger. This aim is achieved by Gap Analyzing in the BI roadmap and available Data Warehouses based on one of the company projects which were handed over to CGI from Lithuania. The fundamentals in achieving the BI-Solutions through IT, which has built the thesis methodology by research are, data warehousing, content analytics and performance management, data movement (Extract, Transform and Load) and CGI BI methodology, business process management, TeliaSonera Maintenance Management Model (TSM3) and AM model of CGI in the high level. The part of the thesis basically requires some research and practical work on Informatica PowerCenter, Microsoft SQL Server Management Studio and low level details such as database tuning, DBMS tuning implementation and ETL workflows optimization.   Keywords: BI, ETL, DW, DBMS, TSM3, AM, Gap Analysing
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Abid, Abbas Syhood. "Job satisfaction and job performance of warehouse employees in Iraqi industry." Thesis, University of Glasgow, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309615.

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Daraei, 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.

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Nowadays warehousing became one of the most important and critical part in supply chain systems due to the fact that it consumes a considerable part of logistic cost. Designing phase of warehousing system is the most important part in warehousing since most of the strategic and tactical decisions should be taken in this phase. Majority of academic papers are primarily analysis oriented and does not give a systematic method and techniques as a basis for warehouse redesign. So there is a need to develop a structured procedure that can be applied for different type of warehouses. Therefore the purpose of this thesis is to develop a process for redesigning production warehouses, and analyzing major problems during redesign steps. The thesis is designed as a case study, and a mix of quantitative and qualitative methods were used for data collection and data analysis. The methodology focuses around the warehousing process and redesign steps as described in the literature. Results of the thesis develop a seven steps procedure for redesigning of the production warehouse, also different problems and challenges are faced during redesign steps. It was tried to choose the best redesigning method which fit with the characteristics of the warehouse, in order to cover the space reduction of the warehouse with the consideration of existing facilities and reducing of cost. In addition, the performance of the current warehouse system was evaluated based on current design of the warehouse in order to avoid repeating of same mistake in redesign process. Storage assignment policy as one of the redesign steps was discussed and a framework for storage system of the components were suggested. The findings of the thesis to some extent can be applicable to other production warehouses. Further research is suggested for more specific results and new developed redesign methods for all types of warehouses.
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Books on the topic "Warehouse performance"

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Andrews, D. F. Measuring warehouse performance. Toronto, Ont: University of Toronto, Dept. of Statistics, 1997.

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Scheuermann, Peter. WATCHMAN: A data warehouse intelligent cache manager. [Washington, DC: National Aeronautics and Space Administration, 1996.

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Pat, Kelley. Warehouse productivity: Improving workforce performance with simplified gainsharing. New York, NY: Distribution Group, 2005.

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North Carolina. Office of the State Auditor. Performance audit of the Department of Public Instruction, Textbook Services Section (Textbook Warehouse). [Raleigh, N.C.]: The Office, 1997.

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Seal, W. B. De-industrialisation, asset specificity and performance ambiguity: Towards a theory of the 'warehouse and screw-drivereconomy'. Nottingham: Trent Business School, Trent Polytechnic, 1988.

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Davis, Gerald. Rating scales for service yards. Ottawa, Ont., Canada: International Centre for Facilities, 2000.

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Davis, Gerald. Requirement scales for service yards. Ottawa, Ont., Canada: International Centre for Facilities, 2000.

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H, Inmon William, ed. Data warehouse performance. New York: Wiley, 1999.

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H, Inmon William, ed. Data warehouse performance. New York: John Wiley, 1998.

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Auditing Warehouse Performance. Ackerman Publications, 2004.

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Book chapters on the topic "Warehouse performance"

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Ackerman, Kenneth B. "Auditing Warehouse Performance." In Practical Handbook of Warehousing, 91–100. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6013-5_10.

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Ackerman, Kenneth B. "Warehouse Performance Audits." In Practical Handbook of Warehousing, 113–20. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4757-1194-3_10.

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Fasel, Daniel. "Fuzzy Data Warehouse." In Fuzzy Data Warehousing for Performance Measurement, 43–114. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04226-8_3.

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Brunner, Jürgen, and Barbara Dinter. "Vom Data Warehouse zum Business Performance Management — Anforderungen an das Metadatenmanagement." In Data Warehouse Management, 291–311. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55477-3_12.

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Fasel, Daniel. "Application of Fuzzy Data Warehouse." In Fuzzy Data Warehousing for Performance Measurement, 117–50. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04226-8_4.

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Fasel, Daniel. "Implementation of Fuzzy Data Warehouse." In Fuzzy Data Warehousing for Performance Measurement, 153–82. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04226-8_5.

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Mahboubi, Hadj, and Jérôme Darmont. "XWeB: The XML Warehouse Benchmark." In Performance Evaluation, Measurement and Characterization of Complex Systems, 185–203. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18206-8_14.

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Fasel, Daniel. "Evaluation and Conclusion of Fuzzy Data Warehouse." In Fuzzy Data Warehousing for Performance Measurement, 185–93. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04226-8_6.

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Hauth, Michael. "Green Warehouse – Energieeffizienz und Performance in Logistikzentren." In CSR und Logistik, 187–211. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-46934-7_9.

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Wrembel, Robert. "Data Warehouse Performance: Selected Techniques and Data Structures." In Business Intelligence, 27–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27358-2_2.

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Conference papers on the topic "Warehouse performance"

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Indrawati, Sri, Suci Miranda, and Affrizal Bryan Pratama. "Model of Warehouse Performance Measurement Based on Sustainable Warehouse Design." In 2018 4th International Conference on Science and Technology (ICST). IEEE, 2018. http://dx.doi.org/10.1109/icstc.2018.8528712.

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Tiwari, Prayag, Sachin Kumar, Avinash Chandra Mishra, Vivek Kumar, and Bodena Terfa. "Improved performance of data warehouse." In 2017 International Conference on Inventive Communication and Computational Technologies (ICICCT). IEEE, 2017. http://dx.doi.org/10.1109/icicct.2017.7975167.

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Shuigeng Zhou, Aoying Zhou, Xiaopeng Tao, and Yunfa Hu. "Hierarchically distributed data warehouse." In Proceedings Fourth International Conference/Exhibition on High Performance Computing in the Asia-Pacific Region. IEEE, 2000. http://dx.doi.org/10.1109/hpc.2000.843558.

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Khan, S. A., F. Dweiri, and A. Chaabane. "Fuzzy-AHP approach for warehouse performance measurement." In 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2016. http://dx.doi.org/10.1109/ieem.2016.7798001.

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Lingjia Tang, J. Mars, Xiao Zhang, R. Hagmann, R. Hundt, and E. Tune. "Optimizing Google's warehouse scale computers: The NUMA experience." In 2013 IEEE 19th International Symposium on High Performance Computer Architecture (HPCA). IEEE, 2013. http://dx.doi.org/10.1109/hpca.2013.6522318.

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Mahboubi, Hadj, and Jérôme Darmont. "Enhancing XML data warehouse query performance by fragmentation." In the 2009 ACM symposium. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1529282.1529630.

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You, Jinguo, Jianqing Xi, Chuan Zhang, and Gengqi Guo. "HDW: A High Performance Large Scale Data Warehouse." In 2008 International Multi-symposiums on Computer and Computational Sciences (IMSCCS). IEEE, 2008. http://dx.doi.org/10.1109/imsccs.2008.16.

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Gour, Vishal, S. S. Sarangdevot, Anand Sharma, Vinod Choudhary, R. B. Patel, and B. P. Singh. "Improve Performance of Data Warehouse by Query Cache." In INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST-10). AIP, 2010. http://dx.doi.org/10.1063/1.3526191.

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Kim, Jong Wook, Sae-Hong Cho, and Il-Min Kim. "Column Partitioning to Improve Data Warehouse Query Performance." In Ubiquitous Science and Engineering 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.86.02.

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Kim, Jong Wook, Sae-Hong Cho, and Il-Min Kim. "Column Partitioning to Improve Data Warehouse Query Performance." In Ubiquitous Science and Engineering 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/ijdta.2015.86.02.

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Reports on the topic "Warehouse performance"

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Labrindis, Alexandros, and Nick Roussopoulos. A Performance Evaluation of Online Warehouse Update Algorithms. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada441038.

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