Articles de revues : « Automated rack supported warehouse »

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Caprili, Silvia, Francesco Morelli, Walter Salvatore et Agnese Natali. « Design and Analysis of Automated Rack Supported Warehouses ». Open Civil Engineering Journal 12, n^o 1 (29 juin 2018) : 150–66. http://dx.doi.org/10.2174/1874149501812010150.

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Background: The lack of codified standards for the design of automated rack supported warehouses forced engineers to use personal experience and commonly accepted rules. Objective: This paper investigates the efficacy of applying Eurocodes’ rules for the design and analysis of automated rack supported warehouses. Structural performance, construction feasibility and economic effort are considered. Method: A typical case study building was designed following the two approaches proposed by Eurocodes: elastic and dissipative. Results: The satisfaction of the capacity design requirements, used for dissipative approach, was not always possible. Analyses showed the development of non-uniform collapse mechanisms and yielding patterns. Conclusion: Specific design rules and analysis techniques shall be developed accounting for the structural performance of automated rack supported warehouses.

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Sim, K. S., et E. F. Ng. « Mechanical Design of Mini Automated Storage and Retrieval Warehouse System for Electronic Components ». Applied Mechanics and Materials 575 (juin 2014) : 753–56. http://dx.doi.org/10.4028/www.scientific.net/amm.575.753.

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Automated storage and retrieval warehouse systems (ASRS) have been implemented in industrial for few decades. This kind of combination of project has become common in current industry field. Refer to Pa. Pittsburgh, the enhancement of ASRS has helped to improve optimal stock capacity in limited space and minimize process flow time. The purpose of this project is to design a hardware prototype that can fulfill the concept of ASRS and can be implemented at electronic components store that requires store management. This is to improve the process in stock checking and also store or retrieve item. Furthermore, there have several major parts that can be considered to use this hardware such as method of store and retrieve, storage structure, movement of the machine and machine travelling system. The timing belt system is implemented on this hardware for performing linear X-Y-Z motions. Besides, the concept of pallets supported rack had been implemented in storage structure design. Last but not least, the concept of an automated guided machine travels to the desired location on rack is selected as a store and retrieve method for this hardware.

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Chang, Bang-Lee, Yi-Ting Tseng et Shih-Yi Kuo. « A Study on the Fire Safety of Automated Rack Supported Warehouses ». Journal of Applied Fire Science 23, n^o 2 (1 janvier 2013) : 115–29. http://dx.doi.org/10.2190/af.23.2.a.

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Tsarpalis, Dimitrios, Dimitrios Vamvatsikos, Ioannis Vayas et Filippo Delladonna. « Simplified Modeling for the Seismic Performance Assessment of Automated Rack-Supported Warehouses ». Journal of Structural Engineering 147, n^o 11 (novembre 2021) : 04021189. http://dx.doi.org/10.1061/(asce)st.1943-541x.0003153.

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Natali, Agnese, Francesco Morelli, Walter Salvatore, Dimitrios Tsarpalis et Dimitrios Vamvatsikos. « Experimental validation of plastic ovalization strategy for seismic-resistant Automated Rack Supported Warehouses ». Procedia Structural Integrity 44 (2023) : 2326–33. http://dx.doi.org/10.1016/j.prostr.2023.01.297.

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Pinkawa, Marius, Cristian Vulcu et Benno Hoffmeister. « Seismic Performance of Double-Depth Automated Steel Rack Supported Warehouses in Low Seismicity Regions ». Procedia Structural Integrity 44 (2023) : 2342–49. http://dx.doi.org/10.1016/j.prostr.2023.01.299.

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Natali, Agnese, et Francesco Morelli. « Experimental validation of dissipative reduced-section thin walled diagonals for seismic-resistant Automated Rack Supported Warehouses ». Procedia Structural Integrity 44 (2023) : 2334–41. http://dx.doi.org/10.1016/j.prostr.2023.01.298.

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Tsujimoto, Kazushi. « Transition Toward the Highly Advanced Technology for Automated Warehouse System ». International Journal of Automation Technology 1, n^o 1 (5 septembre 2007) : 7–10. http://dx.doi.org/10.20965/ijat.2007.p0007.

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In the 40 years since 1966, when we completed Japan's first automated warehouse, we have been developing new techniques and products targeting next-generation automated warehouses. Centering on the theme “highly advanced technology,” we have freely used state-of-the-art technology such as drives and software to enhance the applications of stacker cranes and peripheral equipment. Thanks to technological advances, automated warehouses expanded and evolved to provide “sorting and picking” in addition to “storage” advances are expected to bring unprecedented processing speed and high revolution enabling many different and novel distribution systems. Here we introduce the changes that have made the “Rack Master” stacker crane so advanced. The Rack Master is a core component of our automated warehouses.

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Yin, Ling Feng, Long Tan, Gan Tang, Min Zhang et Zhao Xin Zheng. « Structure Composition and Mechanical Principle of Assembled Self-Supported Warehouse ». Advanced Materials Research 838-841 (novembre 2013) : 574–78. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.574.

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This paper describes the structure composition and characteristic of assembled self-supported warehouse. And its mechanical principle is introduced and compared with both the assembled pallet rack and the building structure. The assembled self-supported warehouse combines the two structure systems effect. The longitudinal horizontal load is transferred to foundation by means of roof truss and multi-pan portal rigid frame and the lateral horizontal load is transferred by means of spine bracing system and semi-rigid frame. Load on roof and goods load are transferred separately from roof truss and beams to columns, then these loads are transferred to foundation.

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Lerher, Tone, et Primož Bencak. « Advanced Technologies in Logistics Engineering ». Tehnički glasnik 16, n^o 3 (23 juin 2022) : 336–42. http://dx.doi.org/10.31803/tg-20220509104609.

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This paper presents automated storage systems with shuttles integrated with hoisted carriage for successful application in intralogistics. The first part of the paper presents classic and advanced AVS/RS along with specific intralogistics automation systems known as AutoStore from Swisslog and Skypod from Exotec. The second part of the paper focuses on an advanced system with shuttle vehicles capable of serving multiple tiers of the storage rack. An analytical model for the shuttle vehicles capable of serving multiple tiers of the storage rack is presented, which is based on (i) the sequences of acceleration, constant velocity and deceleration, and (ii) randomised assignment policy. Based on the presented model, the expected Single Command (SC) and Dual Command (DC) travel (cycle) time as well as the throughput performance of the shuttle vehicles capable of serving several tiers of warehouse, could be calculated. A programme code in MATLAB has been presented for the computation of throughput performances of automated storage systems with shuttles integrated with hoisted carriage capable of serving several tiers of the storage rack.

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Wu, Bingzhao, Ningjie Miao, Liujun Wang, Linming Mao et Congyou Jin. « Technology and Application of Digital Nondestructive Prescreening Based on Automated Storage ». Wireless Communications and Mobile Computing 2022 (9 août 2022) : 1–9. http://dx.doi.org/10.1155/2022/9443943.

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This project around “DR digital imaging non-destructive prediction based on automatic warehousing screening technology and application” project can be divided into cable full inspection in coil based on DR digital imaging mode of the whole case study, with a small piece of material screening technology research, based on the data acquisition and recognition algorithm used for the detection of automated storage research and pilot test three corpus. The hardware framework structure and software system security access model are designed based on existing warehouse conditions. A non-destructive batch automatic pre-screening equipment is developed for small materials, which has both DR and CT functions. Cold cathode pulse ray source for needle tip pulse discharge is improved. A set of non-destructive pre-screening equipment for the whole length of the cable is developed and arranged on the warehouse automatic tray wire rack. Through the multiangle scan imaging of two ray sources, the application of image recognition is expanded, and the automatic size labeling problem warning is realized. The non-destructive pre-screening of the whole length of the cable is implemented synchronously during the process of unloading the cable from the warehouse. The insulation layer scars of the wire diameter and thickness are compared and checked, and the quality problems are visually reflected, and the detection report is automatically generated.

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Li, Li, et Zhi Sheng Shi. « The Design of Monitoring System Static Model for Storage and Retrieval Vehicles in an Automated Warehouse ». Advanced Materials Research 291-294 (juillet 2011) : 3268–71. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.3268.

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The goal of this paper was the design of monitoring system static model for storage and retrieval vehicles in an Automated Warehouse. As usual, the development of a static model required five preliminary steps: analysis of needs, identification of key object, design of static model, define of the attributes for the object class and creation of class diagram. The paper was also presented form above contents. First, the composition and operation process of R/S vehicles monitoring system were analyzed to identify the main entity object (Rack, InOutStation, Crane and association object (ConveyTask). Second, the core model of monitoring system was built up by analyzing the inter-relationships of the main objects. Three, by expanding the core model based on the needs of monitoring system, the static model was gained. Finally, the attributes for the object class were defined and the class diagram was created.

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Molina, Eduardo, Laszlo Horvath et Robert L. West. « Development of a Friction-Driven Finite Element Model to Simulate the Load Bridging Effect of Unit Loads Stored in Warehouse Racks ». Applied Sciences 11, n^o 7 (29 mars 2021) : 3029. http://dx.doi.org/10.3390/app11073029.

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Current pallet design methodology frequently underestimates the load capacity of the pallet by assuming the payload is uniformly distributed and flexible. By considering the effect of payload characteristics and their interactions during pallet design, the structure of the pallets can be optimized, and raw material consumption reduced. The objective of this study was to develop and validate a finite element model capable of simulating the bending of a generic pallet while supporting a payload made of corrugated boxes and stored on a warehouse load beam rack. The model was generalized in order to maximize its applicability in unit load design. Using a two-dimensional, nonlinear, implicit dynamic model, it allowed for the evaluation of the effect of different payload configurations on the pallet bending response. The model accurately predicted the deflection of the pallet segment and the movement of the packages for a unit load segment with three or four columns of boxes supported in a warehouse rack support. Further refinement of the model would be required to predict the behavior of unit loads carrying larger boxes. The model presented provides an efficient solution to the study of the affecting factors to ultimately optimize pallet design. Such a model has not been previously developed. The model successfully acts as a tool to study and predict the load bridging performance of unit loads requiring only widely available input data, therefore providing a general solution.

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Salah, Bashir, Mohammed Alnahhal et Rafiq Ahmad. « Automated Stacker Cranes : A Two-Step Storage Reallocation Process for Enhanced Service Efficiency ». Processes 10, n^o 1 (21 décembre 2021) : 2. http://dx.doi.org/10.3390/pr10010002.

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Automated storage and retrieval systems (AS/RS) play a key role in improving the performance of automated manufacturing systems, warehouses, and distribution centers. In the modern manufacturing industry, the term (AS/RS) refers to various methods under computer control for storing and retrieving loads automatically from defined storage locations. Using an (AS/RS) is not considered a value-added activity. Therefore, the longer (AS/RS) travels, the more expensive the warehousing process becomes. This paper presents an algorithm for minimizing total travel distance/time between input/output (I/O) stations. The proposed algorithm is used to manage the storage and retrieval orders on warehouse shelves in class-based storage on the storage racks. It contains two steps: the first step is to evacuate some storage compartments (locations) near the I/O station; in the second step, some tote bins are reallocated to compartments closer to the I/O station. Among the features of this algorithm are mechanisms that determine the number of reallocated tote bins, which tote bins to reallocate, and in which direction (toward the I/O station or away from it). A simulation model using R software developed specifically for this purpose was used to validate the suggested method. Based on the results, the new method can reduce the service time per order by about 10% to 20%, depending on parameters like the number of orders and the height of the storage rack.

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Yan, Qing, Jiansha Lu, Yiping Shao, Lili Xu et Chenhao Ren. « A scheduling optimization method for stacker path in double-ended compact storage system ». Advances in Mechanical Engineering 15, n^o 2 (février 2023) : 168781322311541. http://dx.doi.org/10.1177/16878132231154173.

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Given the low space usage rate of the traditional automated storage/retrieval system and the long aisle, it is easy for a stacker to take a long time to enter/leave the warehouse. Thus, a new type of double-ended compact storage system is proposed. This paper addresses the scheduling problem for the stacker to execute the single and dual commands mixed tasks in the system where the I/O ports are located at both ends of the aisle, and the power conveyor devices on the rack can meet the requirement of multi-depth storage and generate displacement. An improved shuffled frog leaping algorithm (ISFLA) is developed for the scheduling problem. In order to eliminate the disadvantages of local optimum and slow convergence in the standard shuffled frog leaping algorithm, a set of hybrid perturbation update methods are designed based on a role model learning strategy, and the feasibility of the improved algorithm is verified by a numerical simulation. The experimental results show that the solution quality and the convergence ability of the ISFLA are significantly improved, and it can effectively solve the stacker-scheduling problem in the double-ended compact storage system.

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Kmiecik, Mariusz. « Automation of warehouse resource planning process by using a cloud demand forecasting tool ». Scientific Papers of Silesian University of Technology. Organization and Management Series 2023, n^o 166 (2023) : 391–409. http://dx.doi.org/10.29119/1641-3466.2022.166.26.

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Purpose: Research paper is an extension of the concept connected with demand forecasting function acquisition by logistics operators in the whole distribution network (concept is considered among others in the following papers: (Kmiecik, 2021a, 2021b, 2020). The concept of centralized forecasting assumes that a logistics operator, whose attributes coincide with the features selected through analysis of forecasting-able entities in the distribution networks and flagship enterprises, is able to take over the forecasting function for the whole distribution network. Paper, which is based on the mentioned concept, shows one of the first stages of its implementation. This stage is the implementation of the forecasting tool in the logistics operator's actions to support his operational activities. Currently, the logistics operator doesn't conduct the forecasting activity, but there are attempts aimed at implementation of forecasting tool and increasing the offered services' added value level. Operational activity, which will be first to be supported, is the process of planning the warehouse resources. Mentioned resources concern the human and internal transportation resources, which are needed for fulfilling the processes connected with SKU (Stock Keeping Units) releasing from the warehouse. The main paper purpose to examine the concept the of automated cloud-based resource planning process at the selected 3PL entity which provides logistics services to wide range of manufacturers in the distribution network using the computer simulation model with comparison with the current resource planning process. Design/methodology/approach: Following research paper based on analysis the survey results and analyzing the simulation results. In the survey were tested the warehouse managers which are responsible for resource planning process. The analysis provides the general requirements of managers about resource planning process supported by automated cloud-based demand forecasting solution and information about expected forecasting tool accuracy. In the paper there were also created two simulation models based on BPMN 2.0 standard. First model reflects the current shape of resource planning process and was created to compare to the second, improved model. Improved model includes the examining of automated cloud-based resource planning solution. Findings: The main expectations of 3PL operational managers about usage the demand forecasting tool is to support of warehouse resource planning. They also state that the expected accuracy of such a tool is the weekly MAPE not greater than 5%. The main benefits of proposed solution are the time decreasing, increasing the level of automation, showing the main areas when the agile point of view should be implemented and show the perspective of resource possibility of usage in the different activities (beside the resource planning process). Originality/value: Automation and fully cloud integration will allow to reduce the process time more than 60% (in total and in average one process time). There are also some disadvantages of proposed solution which could be reduced by using other trends connected with Industry 4.0 development and by developing the collaborative strategies of the particular nodes of distribution networks. Keywords: logistics operator; distribution network; warehouse management; demand forecasting; BPMN 2.0 model. Category of the paper: research paper.

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Beck, A., T. Ganslandt, M. Hummel, M. Kiehntopf, U. Sax, F. Ückert, S. Semler et H. U. Prokosch. « IT Infrastructure Components for Biobanking ». Applied Clinical Informatics 01, n^o 04 (2010) : 419–29. http://dx.doi.org/10.4338/aci-2010-05-ra-0034.

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Summary Objective: Within translational research projects in the recent years large biobanks have been established, mostly supported by homegrown, proprietary software solutions. No general requirements for biobanking IT infrastructures have been published yet. This paper presents an exemplary biobanking IT architecture, a requirements specification for a biorepository management tool and exemplary illustrations of three major types of requirements. Methods: We have pursued a comprehensive literature review for biobanking IT solutions and established an interdisciplinary expert panel for creating the requirements specification. The exemplary illustrations were derived from a requirements analysis within two university hospitals. Results: The requirements specification comprises a catalog with more than 130 detailed requirements grouped into 3 major categories and 20 subcategories. Special attention is given to multitenancy capabilities in order to support the project-specific definition of varying research and bio-banking contexts, the definition of workflows to track sample processing, sample transportation and sample storage and the automated integration of preanalytic handling and storage robots. Conclusion: IT support for biobanking projects can be based on a federated architectural framework comprising primary data sources for clinical annotations, a pseudonymization service, a clinical data warehouse with a flexible and user-friendly query interface and a biorepository management system. Flexibility and scalability of all such components are vital since large medical facilities such as university hospitals will have to support biobanking for varying monocentric and multicentric research scenarios and multiple medical clients.

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Ma, Meng, Arielle Redfern, Xiang Zhou, Dan Li, Ying Ru, Kyeryoung Lee, Christopher Gilman et al. « Automated abstraction of real-world clinical outcome in lung cancer : A natural language processing and artificial intelligence approach from electronic health records. » Journal of Clinical Oncology 38, n^o 15_suppl (20 mai 2020) : e14062-e14062. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e14062.

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e14062 Background: Real world evidence generated from electronic health records (EHRs) is playing an increasing role in health care decisions. It has been recognized as an essential element to assess cancer outcomes in real-world settings. Automatically abstracting outcomes from notes is becoming a fundamental challenge in medical informatics. In this study, we aim to develop a system to automatically abstract outcomes (Progression, Response, Stable Disease) from notes in lung cancer. Methods: A lung cancer cohort (n = 5,003) was obtained from the Mount Sinai Data Warehouse. The progress, pathology and radiology notes of patients were used. We integrated various techniques of Natural Language Processing (NLP) and Artificial Intelligence (AI) and developed a system to automatically abstract outcomes. The corresponding images, biopsies and lines of treatments (LOTs) were abstracted as attributes of outcomes. This system includes four information models: 1. Customized NLP annotator model: preprocessor, section detector, sentence splitter, named entity recognition, relation detector; CRF and LSTM methods were applied to recognize entities and relations. 2. Clinical Outcome container model: biopsy evidence extractor, lines of treatment detector, image evidence extractor, clinical outcome event recognizer, date detector, and temporal reasoning; Domain-specific rules were crafted to automatically infer outcomes. 3. Document Summarizer; 4. Longitudinal Outcome Summarizer. Results: To evaluate the outcomes abstracted, we curated a subset (n = 792) from patient cohort for which LOTs were available. About 61% of the outcomes identified were supported by radiologic images (time window = ±14 days) or biopsy pathology results (time window = ±100 days). In 91% (720/792) of patients, Progression was abstracted within a time window of 90 days prior to first-line treatment. Also, 72% of the Progression events identified were accompanied by a downstream event (e.g., treatment change or death). We randomly selected 250 outcomes for manual curation, and 197 outcomes were assessed to be correct (precision = 79%). Moreover, our automated abstraction system improved human abstractor efficiency to curate outcomes, reducing curation time per patient by 90%. Conclusions: We have demonstrated the feasibility and effectiveness of NLP and AI approaches to abstract outcomes from lung cancer EHR data. It promises to automatically abstract outcomes and other clinical entities from notes across all cancers.

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Natali, Agnese, Francesco Morelli et Walter Salvatore. « On the seismic design and behavior of Automated Rack Supported Warehouses ». Bulletin of Earthquake Engineering, 1 décembre 2022. http://dx.doi.org/10.1007/s10518-022-01566-x.

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« Steel frame versus rack supported warehouse structures ». Tehnicki vjesnik - Technical Gazette 24, n^o 4 (août 2017). http://dx.doi.org/10.17559/tv-20140226220936.

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Hung, Boc Minh, Sam-Sang You, Bui Duc Hong Phuc et Hwan-Seong Kim. « Motion control with robust string stability of mobile-rack vehicles in autonomous logistics ». Proceedings of the Institution of Mechanical Engineers, Part C : Journal of Mechanical Engineering Science, 24 août 2020, 095440622095317. http://dx.doi.org/10.1177/0954406220953173.

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In order to reduce costs for a larger warehouse or expand the floor space of a small warehouse, it is impossible to implement this with a traditional warehouse, which is characterized as poorly utilized space. For the efficient storage and retrieval, the smart warehouse system with autonomous mobile-rack vehicles can optimize the space utilization by providing only a few open aisles at a time for accessing the racks with minimal intervention. This paper deals with designing the vehicle robust controller for maintaining safe spacing with collision avoidance in the fully automated warehouse. The compact vehicle dynamics are presented for the interconnected string of vehicles. Next, the string stability with safe working space of the mobile-rack vehicles has been described for guaranteeing complete autonomous logistics in smart warehouse. In addition, the controller order has been significantly reduced to a low-order system without performance degradation for real implementation. This control method can guarantee control stability as well as performances of mobile-rack vehicles against unavoidable uncertainties, disturbances, and noises for warehouse automation in the extremely cold environment without rail rack. Finally, the autonomous mobile-rack vehicle system is to become the promising vision of future smart warehouse technology in autonomous logistics.

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Ravipati, Tanya, Nadine E. Andrew, Velandai Srikanth et Richard Beare. « Challenges in public healthcare research data warehouse integration and operationalisation. » International Journal of Population Data Science 7, n^o 3 (25 août 2022). http://dx.doi.org/10.23889/ijpds.v7i3.1859.

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ObjectivesPublic health service organisations use multiple patient administration and electronic health record systems. We describe the implementation of a data warehouse automation tool within the National Centre for Healthy Ageing (NCHA) data platform to operationalise a research data warehouse to optimise data quality and data provision for health services research. ApproachThe traditional data warehouse life cycle comprises repetitive manual tasks and dependency on specialist developers. Automation tools overcome most of these inefficiencies. We conducted an internal risk benefit analysis which was validated by published literature containing data warehouse optimisation and automation. Industry-based data warehouse automation tools were reviewed to align the NCHA requirements with the tool’s functionality. Tools were then shortlisted and evaluated over a six-week period: (1) automation of standard tasks; (2) data pipeline alignment with the World Health Organization’s (WHO) Data Quality Review Framework; and (3) resource dependency risk mitigation through a Proof of Concept (PoC). ResultsThe priority areas identified by the risk benefit analysis included: end-to-end data warehouse automation; auto scripting; connectivity/linkage with multiple sources, reverse/forward engineering, audit trail conformance, scalability, multiple data warehouse architectures support, automated documentation; data management including data quality; and post-subscription independence. Twenty scientific publications were included in the final literature review (10% within healthcare) and supported the majority of identified priority areas. The industry-based review identified 11 suitable data warehouse/Extract-Transform-Load (ETL) automation tools. Five tools demonstrated adequate performance for task automation, data quality management, reduced dependency on specialist developers and on-premise linkage compatibility. Two automation tools were tested each for 6 weeks through PoC development. One automation tool met 8 out of the 10 automation requirements and was selected for implementation. ConclusionData warehouse development processes are complex and time consuming. Tools that offer automation of repetitive tasks and scripting increase the consistency while reducing the dependency on specialist staff. Integrated data quality management minimises the time researchers spend in pre-processing patient level data sourced through a semi-automated data warehouse.

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