Academic literature on the topic 'Warehouse management system'

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Journal articles on the topic "Warehouse management system"

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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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Chen, Chen, Jian Mao, and Xingwen Gan. "Design of Automated Warehouse Management System." MATEC Web of Conferences 232 (2018): 03049. http://dx.doi.org/10.1051/matecconf/201823203049.

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Aiming at the low degree of automation in production enterprises, real-time tracking and automatic access to warehouses are realized by developing warehouse management software. The paper first analyzes the system requirements, and then gives the overall design plan, through C#, MySQL and TCP. IP communication protocol, compiled a set of warehouse management system software. The actual application shows that the automation level and management efficiency of production enterprises are improved.
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Yang, Xiu Fang. "Key Technologies Analysis on Management System Data Warehouse." Applied Mechanics and Materials 644-650 (September 2014): 2925–28. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2925.

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In order to further analyze data warehouse’s application value in teaching management system, this paper first analyzes the disadvantages of previous teaching management system data extraction, illustrates the basic structure of data warehouse system, then discusses the establishment of three kinds of models of data warehouse, finally from the demand perspective of teaching management system, analyzes key technologies such as the design of data warehouse model of teaching management system, the upload of teaching data, data display and data warehouse interfaces.
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กิตติธีรพรชัย, โอฬาร, and นระเกณฑ์ พุ่มชูศรี. "Warehouse Management System." วารสารวิศวกรรมศาสตร์ 5, no. 2 (May 2013): 49–62. http://dx.doi.org/10.4186/ejth.2013.5.2.49.

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Hu, Qing Ming, Dong Sheng Li, Xi Bing Li, Jian Hua Guo, and Shi Gang Wang. "Research on Storage Automation Rebuilding of Traditional Warehouse." Applied Mechanics and Materials 151 (January 2012): 544–48. http://dx.doi.org/10.4028/www.scientific.net/amm.151.544.

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A storage automation rebuilding scheme was proposed to enhance the space utilization and operational efficiency based on the analysis of the existing problem on traditional warehouse. The warehouse’s re-designing & re-planning scheme was determined, and the computer management & control system based on barcode and Radio Frequency (RP) technology was introduced with the fully utilization of traditional warehouse and original equipment. The hardware and software of the system were also expounded. Finally according to the requirement of host computer management & control system, operational control technology is integrated with information management, and the operation-oriented warehouse dynamic information management system was elaborated. The research results show that the rebuilding schemes have important theoretical and realistic significance on the improvement of changing the traditional warehouses into logistics centers.
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Krishnan, BrisinB, JainV John, Kishore S, Mahantesh S, and SavitaC H. "AGRICULTURAL WAREHOUSE MANAGEMENT SYSTEM." International Journal of Advanced Research 5, no. 5 (May 31, 2017): 600–603. http://dx.doi.org/10.21474/ijar01/4151.

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Likhouzova, Tetiana, and Yuliia Demianova. "Robotic Warehouse Management System." International Review of Automatic Control (IREACO) 14, no. 1 (January 31, 2021): 12. http://dx.doi.org/10.15866/ireaco.v14i1.19993.

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Li, Qi, and Xiao Hong Cheng. "Warehouse Information Intelligent Optimization System." Advanced Materials Research 791-793 (September 2013): 1597–600. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1597.

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Scientific and rational management of warehouses and warehouse information to build flexible and effective business development is an important factor. The use of modern computer technology advanced and mature, network communication technology, software development, technical and scientific analysis and design methods, modern scientific management ideas and methods of storage of organic integration into the system, to achieve in all types of enterprise management system procedures, system security electronics.
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Vatumalae, Vellian, Premkumar Rajagopal, and Veera Pandiyan Kaliani Sundram. "Warehouse Management System of a Third Party Logistics Provider in Malaysia." International Journal of Economics and Finance 12, no. 9 (August 25, 2020): 73. http://dx.doi.org/10.5539/ijef.v12n9p73.

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This study aims to explore the significant benefits gained from the implementation of the Warehouse Management System in 3rd Party Logistics Service Provider. A qualitative research approach been adopted by conducting an in-depth case study in one of Halal third-party logistics (3PLs) company located in central Malaysia, offering most of the logistics services, including transportation and warehousing. Information obtained from the warehouse operations managers in understanding the overall benefit of the warehouse management system. As a result of the highly competitive in 3rd party logistics market, environment companies are continuously forced to improve their warehousing operations into a system based applications. Many 3rd party logistics companies have also customized their value proposition to meet better customer demands, which has led to changes in the role of warehouses. The findings of this study have significant implications for both academicians and the 3PLs organizations to further explore the theories, practices, and the implementation of the Warehouse Management System in the warehouse operations. The future studies may lead to an investigation of the relationship of the warehouse management system with 3PL business competitiveness among the 3PL’s organization.
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Kolarovszki, Peter, and Juraj Vaculík. "Intelligent Storage System Based on Automatic Identification." Transport and Telecommunication Journal 15, no. 3 (September 1, 2014): 185–95. http://dx.doi.org/10.2478/ttj-2014-0016.

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Abstract This article describes RFID technology in conjunction with warehouse management systems. Article also deals with automatic identification and data capture technologies and each processes, which are used in warehouse management system. It describes processes from entering goods into production to identification of goods and also palletizing, storing, bin transferring and removing goods from warehouse. Article focuses on utilizing AMP middleware in WMS processes in Nowadays, the identification of goods in most warehouses is carried through barcodes. In this article we want to specify, how can be processes described above identified through RFID technology. All results are verified by measurement in our AIDC laboratory, which is located at the University of Žilina, and also in Laboratory of Automatic Identification Goods and Services located in GS1 Slovakia. The results of our research bring the new point of view and indicate the ways using of RFID technology in warehouse management system.
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Dissertations / Theses on the topic "Warehouse management system"

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С, Курбацький Д. "АРХІТЕКТУРА ПРОГРАМНОГО ЗАБЕЗПЕЧЕННЯ WAREHOUSE MANAGEMENT SYSTEM." Thesis, Київ, Національний авіаційний університет, 2015. http://er.nau.edu.ua/handle/NAU/19291.

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Warehouse Management System, або скорочено WMS – це прийнятий у сучасній літературі термін, що позначає програмно-апаратну систему управління складом. Метою такої системи є комплексна автоматизація управління складськими та логістичними процесами. WMS-системи можуть використовуватись як окремий програмний продукт, а також і в комплексі з іншими продуктами в складі ERP-систем.
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Kovalenko, Darya, and Дар'я Юріївна Коваленко. "It product comparison for warehouse management." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50512.

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1. Womack, J., & Jones, D. (1996).- Lean Thinking: Banish Waste and Create Wealth in Your Corporation" ( edition of 2018 years). 2. Heizer, J., & Render, B. (1999). Operations management. Upper Saddle River, N.J: Prentice Hall. Chicago (Author-Date, 11th ed.). 3. Inmon, Bill (1992). Building the Data Warehouse
Warehouse management software, or WMS, is an automated system, designated to manage the mundane operations of warehouse. Warehouse management software, also may be able to refer as warehouse management system, has built-in programs being enabled business to manage various tasks from centralized location. Warehouse Management Software has the goal of optimization warehouse center management. Furthermore, facilitation the processes of planning, controlling and utilization of available resources to move and store finished products and materials.
Програмне забезпечення для управління складом (WMS) - це автоматизована система, призначена для управління буденними операціями складу. Програмне забезпечення для управління складами, яке також може називатися системою управління складом, має вбудовані програми, що дозволяють бізнесу керувати різними завданнями з централізованого розташування. Програма управління складами має на меті оптимізацію управління складським центром. Крім того, полегшення процесів планування, контролю та використання наявних ресурсів для переміщення та зберігання готової продукції та матеріалів.
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Brunner, Ralf. "Design of external interfaces for the integration of a generic logistics and distribution centre with associated systems." Thesis, University of Sunderland, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241021.

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Rydeman, Gustav. "Decision Support for Work Flow Control in a Warehouse Management System." Thesis, Uppsala University, Department of Information Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-112111.

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As volatility and customer demands increase, companies are simultaneously trying to reduce their logistic costs. Distribution centers are being forced to increase their agility and flexibility in order to rapidly execute on continuously evolving logistics plans. One proven way of gaining warehouse efficiency and create visibility into processes is through implementation of a Warehouse Management System (WMS) – a leverage technology that introduces automation in warehouse processes. With system directed task assignment work can be optimally balanced and distributed to available resources and auto-generate tasks with high quality. A critical aspect of this have shown to be prioritization of tasks in the dynamic terminal environment. To introduce a new work flow support into an existing organization requires changes in routines, roles and organization to harvest the real efficiency gains. In this report these problematics are applied to the distributing terminal of SCA Transforest, Tunadal, Sweden. A benchmarking study of a terminal in the same business, the Stora Enso terminal in Zeebrügge, Belgium, is the object of comparison. At the latter terminal system directed task assignment has been successfully implemented. Based on the findings from the benchmarking study and other research this report present important success factors as well as specific solutions to issues regarding automation, flexibility and process visibility - with the purpose to guide SCA Transforest in the future system development.

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Genade, Marius. "Defining key success criteria to measure project success for Warehouse management system implementations." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/95589.

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Thesis (MBA)--Stellenbosch University, 2012.
The storage and distribution of goods in warehouses have been around for centuries. Information systems and technology have enabled business to run various different functions, like accounting, successfully. Companies soon realised the additional benefits technology can bring to their operations. Increase in product throughput and increase in product range are some of the examples that add additional complexity to the warehousing and distribution functions. In order to cater for the additional complexity, to gain improved customer service levels and gain a strategic advantage in delivering the right product, in the right place at the right time, companies are implementing warehouse management systems (WMS). However, the WMS implementations are complex and involve various different stakeholders. Failed WMS implementations can negatively affect the operations. There are many risks associated with the WMS implementations and many companies have had to issue profit warnings in the past due to failed implementations. Various viewpoints on project success exist but this research report has aimed to provide a framework of key success criteria which organisations can use to evaluate the success of their implementation. Since WMS are generally rolled-out across various sites within a specific supply chain, measuring and evaluating the success of the first project can guide the project team to achieve more project success in the future, eliminating the risks associated with failed implementations. This study clearly defines the difference between project success, project management success, critical success factors and key success criteria. Literature on the topic is limited and therefore this study looked at various sources like peer-reviewed literature, popular literature and case studies. The findings of the report indicate that there is a list of ten different key success criteria which organisations can focus on in order to measure and improve their project success. Taking ownership, change management, managing stakeholder expectations, communication, training and testing are some of the key success criteria that were identified. This study concludes by presenting a framework which organisations can use to measure the success of their WMS implementation.
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BARROS, MONICA COUTINHO DE. "WAREHOUSE MANAGEMENT SYSTEM (WMS): THEORETICAL CONCEPTS AND IMPLEMENTATION AT A DISTRIBUTION CENTER." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7340@1.

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Nos dias de hoje, com o ambiente empresarial cada vez mais competitivo, a tecnologia de informação, quando bem utilizada, torna-se um importante diferencial entre as empresas na busca pela excelência no atendimento ao cliente. Desta forma, cada vez mais as empresas procuram alternativas para facilitar o gerenciamento de suas atividades, visando aumentar o controle, reduzir os custos e obter informações precisas que possam de fato agilizar a tomada de decisões e consequentemente melhorar o ní­vel do serviço prestado. O Sistema de Gestão de Armazéns (Warehouse Management System - WMS) vem sendo implementado principalmente pelos grandes operadores logí­sticos. A pesquisa realizada pela Booz Allen & Hamilton em parceria com o Centro de Estudos em Logí­stica em 2001 (CEL-Coppead) constatou que até 50% dos operadores logí­sticos pesquisados já utilizavam esta tecnologia (Costa et al., 2001). Dado o crescimento do uso do WMS, e a possibilidade por parte da autora de participar da implementação desta tecnologia em uma empresa durante o desenvolvimento de sua pesquisa de mestrado, os objetivos desta dissertação são: mapear a operação do Centro de Distribuição (CD) da Empresa Alfa antes da implementação do WMS; e analisar o processo de implementação de um WMS em um CD em operação. Como a autora fizera parte da equipe de implementação do WMS na Empresa Alfa, a metodologia utilizada para a elaboração desse trabalho incluiu: pesquisa bibliográfica, visitas in loco e entrevistas não estruturadas junto aos envolvidos na operação. O resultado desta dissertação é uma análise da operação antes e durante a implementação do WMS, aliado aos principais resultados extraí­dos pelas simulações, dado que até o presente momento o WMS ainda não se tornou uma realidade junto a Empresa Alfa devido a mudanças estratégicas no cronograma de implementação.
Nowadays, in a competitive business environment, when the information of technology is well used it becomes of a great value among companies that search for excellence in customer relationship attendance. Therefore, more and more often, the companies are searching for alternatives to ease the management of activities, increasing control, reducing costs and getting important information that can result in quicker decisions and consequently improve the level of the service. Recently, the WMS is being implemented in general by the biggest logistics operators. A Booz Allen & Hamilton´s research in partnership with the Center of Studies in Logistic in 2001 (CEL-Coppead) evidenced that up to 50% of the logistic operators have already been using this technology (Costa et al., 2001). Due to the growth of WMS use and the possibility for the author to participate in an implementation of this technology in a company during her Master Research, the objectives of this work are: to map the operation of the Alpha Company´s Distribution Center (DC) before WMS implementation; and analyze the WMS implementation process in a DC that is in operation. Since the author was part of the team in the implementation of WMS in the Alpha Company, the methodology used for the elaboration of this work included: bibliographical research, visits in loco to the Alpha Company´s DC and non structuralized interviews with the involved parts in the operation. As a result of this work, we have an analysis of the operation before and during the implementation of the WMS in line with the main results of the simulations, given that until the present moment, due to strategic changes in implementation chronogram the WMS still has not become a reality in the Alpha Company.
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Cross, Nicholas J. "The Impact of Executing a Warehouse Management System Change: A Case Study." TopSCHOLAR®, 2019. https://digitalcommons.wku.edu/theses/3162.

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The increased demand on distribution centers to provide quicker turnarounds from receiving to shipping while maintaining precise inventory accuracies is spurring the acquisition of a warehouse management system (WMS) to improve operations and increase efficiency. With the rapid expansion of WMS technology, it seems inevitable that warehouses will outgrow inefficient operational processes and switch to a system that can accommodate rapid development. Research has explained the financial burdens and benefits of acquiring a WMS, but there’s been minimal research describing the impacts of the actual implementation. This study took place within a 600,000 sq. ft. fulfillment center and focused on the day-to-day activities of its 300+ employees. A qualitative methodology was used while observing daily processes within the inbound, inventory control, outbound, and shipping departments throughout the implementation process to determine the impacts on operational procedures and the people involved. The results describe the adaptations necessary within each department to transform the former manually based processes into automated processes that support the WMS. Also, the configurational oversights within the WMS that led to time consuming complications when performing daily operational tasks. The findings of this study explain the key factors that impact a WMS implementation and opportunities to increase the chances of a successful implementation.
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Carlswärd, Martin. "Riktlinjer för att förbättra datakvaliteten hos data warehouse system." Thesis, Linköping University, Department of Management and Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15449.

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Data warehouse system är något som har växt fram under 1990-talet och det har implementeras hos flera verksamheter. De källsystem som en verksamhet har kan integreras ihop med ett data warehouse system för att skapa en version av verkligheten och ta fram rapporter för beslutsunderlag. Med en version av verkligheten menas att det skapas en gemensam bild som visar hur verksamhetens dagliga arbete sker och utgör grundinformation för de framtagna analyserna från data warehouse systemet. Det blir därför väsenligt för verksamheten att de framtagna rapporterna håller en, enligt verksamheten, tillfredställande god datakvalitet. Detta leder till att datakvaliteten hos data warehouse systemet behöver hålla en tillräckligt hög kvalitetsnivå. Om datakvaliteten hos beslutsunderlaget brister kommer verksamheten inte att ta de optimala besluten för verksamheten utan det kan förekomma att beslut tas som annars inte hade tagits.

Att förbättra datakvaliteten hos data warehouse systemet blir därför centralt för verksamheten. Med hjälp av kvalitetsfilosofin Total Quality Management, TQM, har verksamheten ett stöd för att kunna förbättra datakvaliteten eftersom det möjliggör att ett helhetsgrepp om kvaliteten kan tas. Anledningen till att ta ett helhetsperspektiv angående datakvaliteten är att orsakerna till bristande datakvalitet inte enbart beror på orsaker inom själva data warehouse systemet utan beror även på andra orsaker. De kvalitetsförbättrande åtgärder som behöver utföras inom verksamheter varierar eftersom de är situationsanpassade beroende på hur verksamheten fungerar även om det finns mer övergripande gemensamma åtgärder.

Det som kommuniceras i form av exempelvis rapporter från data warehouse systemet behöver anses av verksamhetens aktörer som förståeligt och trovärdigt. Anledningen till det är att de framtagna beslutunderlagen behöver vara förståliga och trovärdiga för mottagaren av informationen. Om exempelvis det som kommuniceras i form av rapporter innehåller skräptecken bli det svårt för mottagaren att anse informationen som trovärdig och förståelig. Förbättras kvaliteten hos det kommunikativa budskapet, det vill säga om kommunikationskvaliteten förbättras, kommer datakvaliteten hos data warehouse systemet i slutändan också förbättras. Inom uppsatsen har det tagits fram riktlinjer för att kunna förbättra datakvaliteten hos data warehouse system med hjälp av kommunikationskvaliteten samt TQM. Riktlinjernas syfte är att förbättra datakvaliteten genom att förbättra kvaliteten hos det som kommuniceras inom företagets data warehouse system.

Det finns olika åtgärder som är situationsanpassade för att förbättra datakvaliteten med hjälp av kommunikationskvalitet. Ett exempel är att införa en möjlighet för mottagaren att få reda på vem som är sändaren av informationsinnehållet hos de framtagna rapporterna. Detta för att mottagaren bör ha möjlighet att kritisera och kontrollera den kommunikativa handlingen med sändaren, som i sin tur har möjlighet att försvara budskapet. Detta leder till att öka trovärdigheten hos den kommunikativa handlingen. Ett annat exempel är att införa inmatningskontroller hos källsystemen för att undvika att aktörer matar in skräptecken som sedan hamnar i data warehouse systemet. Detta leder till att mottagarens förståelse av det som kommuniceras förbättras.


The data warehouse system is something that has grown during the 1990s and has been implemented in many companies. The operative information system that a company has, can be integrated with a data warehouse system to build one version of the reality and take forward the decision basis. This means that a version of the reality creates a common picture that show how the company’s daily work occurs and constitutes the base of information for the created analysis reports from the data warehouse system. It is therefore important for a company that the reports have an acceptable data quality. This leads to that the data quality in the data warehouse system needs to hold an acceptable level of high quality. If data quality at the decision basis falls short, the company will not take the optimal decision for the company. Instead the company will take decision that normally would not have been taken.

To improve the data quality in the data warehouse system would therefore be central for the company. With help from a quality philosophy, like TQM, the company have support to improve the data quality since it makes it possible for wholeness about the quality to be taken. The reason to take a holistic perspective about the data quality is because lacking of the data quality not only depends on reasons in the data warehouse system, but also on other reasons. The measurement of the quality improvement which needs to perform in the company depends on the situation on how the company works even in the more overall actions.

The communication in form of for example reports from the data warehouse system needs to be understandable and trustworthy for the company’s actors. The reason is that the decision basis needs to be understandable and trustworthy for the receiver of the information. If for example the communication in form of reports contains junk characters it gets difficulty for the receiver of the information to consider if it is trustworthy and understandable. If the quality in the communication message is improving, videlicet that the communication quality improves, the data quality in the data warehouse will also improve in the end. In the thesis has guiding principles been created with the purpose to improve data quality in a data warehouse system with help of communication quality and TQM. Improving the quality in the communication, which is performed at the company’s data warehouse to improve the data quality, does this.

There are different measures that are depending on the situations to improve the data quality with help of communication quality. One example is to introduce a possibility for the receiver to get information about who the sender of the information content in the reports is. This is because the receiver needs to have the option to criticize and control the communication acts with the sender, which will have the possibility to defend the message. This leads to a more improved trustworthy in the communication act. Another example is to introduce input controls in the operative system to avoid the actors to feed junk characters that land in the data warehouse system. This leads to that the receivers understanding of the communication improves.

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Horká, Tereza. "Výběr a implementace informačního systému." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-417681.

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This Master’s thesis deals with the selection and implementation of an information system for the company SunSport s.r.o. In this thesis is firstly introduced the theoretical foundation necessary for the understanding of this topic and subsequently is analysed the current state of the company with an emphasis on the information system. The third part of the thesis focuses on the selection of the system and its implementation, which is described using the techniques of project management.
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Choi, Jason Jinho. "Raw material inventory planning in a serial system with warehouse capacity." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90775.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2014. In conjunction with the Leaders for Global Operations Program at MIT.
Thesis: S.M., Massachusetts Institute of Technology, Engineering Systems Division, 2014. In conjunction with the Leaders for Global Operations Program at MIT.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 53-54).
The thesis explores inventory management principles in the context of a storage capacity constrained warehouse. Amgen Inc. is building a new manufacturing facility in Singapore. Due to internal raw material warehouse capacity constraints, Amgen is evaluating the use of a 3rd Party Logistics (3PL) for additional warehousing space. The goal of this project is to recommend a raw material inventory strategy to reduce inventory levels and a 3PL operation guideline to ensure the availability of storage space and to minimize the transfers of raw material between Amgen and the 3PL. The project developed four inventory management methodologies to reduce raw material inventory in the context of a warehouse with a capacity constraint: I. Batch size optimization with an extension of the economic order quantity (EOQ) that adjusts batch size based on available warehouse space. 2. Safety stock reduction with the removal of demand variability by fixing the production schedule for 6 months. This results in a 10% inventory reduction by value and an 18% reduction in warehouse space usage. 3. Vendor managed inventory (VMI) with suppliers in Singapore to reduce inventory by 5%. 4. Maintaining commonality of disposable raw materials at 75% for new products that use the Manufacturing of the Future (MoF) platform to mitigate a 46% increase in room temperature warehouse space. As Amgen starts to use a 3PL, we recommend: 1. Use the 3PL in series with Amgen's warehouse to minimize raw material transfers. 2. Use the created warehouse model for 3PL operation guidelines. The model calculates the raw material requirements for a given production plan and recommends how to route the raw material and computes the space required for Amgen and the 3PL. 3. Use recommended key performance indicators to ensure data input into the warehouse model is accurate for correctly optimized results.
by Jason Jinho Choi.
M.B.A.
S.M.
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Books on the topic "Warehouse management system"

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Slater, Alan. Example agreement for the supply of a warehouse management system plus equipment and software support services. Altrincham: Institute of Logistics & Transport, 2004.

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1938-, Gupta A. K., ed. Information-statistical data mining: Warehouse integration with examples of Oracle basics. Boston: Kluwer Academic, 2004.

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Sy, Bon K. Information-statistical data mining: Warehouse integration with examples of Oracle basics. Boston: Kluwer Academic, 2004.

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Hompel, Michael Ten. Warehouse management: Automation and organisation of warehouse and order picking systems. Berlin: Springer, 2007.

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1945-, Hackathorn Richard D., ed. Using the data warehouse. New York: Wiley, 1994.

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Uppuleti, Varun. Customizing extended warehouse management with SAP ERP. Bonn [Germany]: Galileo Press, 2010.

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Uppuleti, Varun. Customizing extended warehouse management with SAP ERP. Bonn [Germany]: Galileo Press, 2010.

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Uppuleti, Varun. Customizing extended warehouse management with SAP ERP. Bonn: Galileo Press, 2009.

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Obal, Philip. What to look for in warehouse management systems software. Webbers Falls, OK: Industrial Data & Information, 1998.

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Co, Business Communications. Global markets for warehouse management systems and related services. Norwalk, CT: Business Communications Co., 2002.

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Book chapters on the topic "Warehouse management system"

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Sai Chitti Subrahmanyam, V., A. Vasantha Raman, S. L. Sharrik Krishna, I. Sitharthan, S. Shaheen Basha, Balasundaram Prabavathy, and S. Angel Deborah. "Smart Warehouse Management System." In Springer Proceedings in Energy, 99–114. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0669-4_8.

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Wang, Hengwei. "Logistics Enterprise Warehouse Management System Optimization." In Lecture Notes in Electrical Engineering, 107–13. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4796-1_14.

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Stamelos, Ioannis, Charalampos Avratoglou, Panayotis Tzinis, George Kakarontzas, Alexander Chatzigeorgiou, Apostolos Ampatzoglou, Dimitris Folinas, et al. "Towards a Remote Warehouse Management System." In Cross Reality and Data Science in Engineering, 338–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52575-0_28.

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Wang, Lili, Tao Wang, Defang Zhao, Xin Zhang, and Li Ding. "Management and Control System of Tobacco Factory Warehouse." In Lecture Notes in Electrical Engineering, 107–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35440-3_15.

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Ma, Haishu. "An Industry 4.0 Technologies-Driven Warehouse Resource Management System." In Advanced Manufacturing and Automation VIII, 27–33. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2375-1_4.

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Ding, Wen. "Study of Smart Warehouse Management System Based on the IOT." In Intelligence Computation and Evolutionary Computation, 203–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31656-2_30.

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de S. e Silva, Diva, Sean W. M. Siqueira, Elvira Ma A. Uchôa, Ma Helena L. B. Braz, and Rubens N. Melo. "An Architecture for Data Warehouse Systems Using a Heterogeneous Database Management System — HEROS." In Heterogeneous Information Exchange and Organizational Hubs, 87–104. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-1769-4_6.

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Sato, Tetsuya, and Hiroshi Katayama. "Bottleneck Management of Multi-stage Sorting-Packing Operations with Large-Scale Warehouse System." In Proceedings of the Eleventh International Conference on Management Science and Engineering Management, 1054–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59280-0_87.

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Choong, Chun Sern, Ahmad Fakhri Ab Nasir, Anwar P. P. Abdul Majeed, Muhammad Aizzat Zakaria, and Mohd Azraai Mohd Razman. "Automatic Identification and Categorize Zone of RFID Reading in Warehouse Management System." In Lecture Notes in Mechanical Engineering, 194–206. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7309-5_20.

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Moufaddal, Mariam, Asmaa Benghabrit, and Imane Bouhaddou. "A Cyber-Physical Warehouse Management System Architecture in an Industry 4.0 Context." In Advances in Intelligent Systems and Computing, 125–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51186-9_9.

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Conference papers on the topic "Warehouse management system"

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Dhouioui, Mohamed, and Tarek Frikha. "Intelligent Warehouse Management System." In 2020 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS). IEEE, 2020. http://dx.doi.org/10.1109/dts48731.2020.9196063.

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Zhang, Binghua, Weigang Pan, and Zhencai Huc. "Intelligent Warehouse Management System." In 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/icmmcce-17.2017.154.

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Alias, Cyril, Udo Salewski, Viviana Elizabeth Ortiz Ruiz, Frank Eduardo Alarcón Olalla, José do Egypto Neirão Reymão, and Bernd Noche. "Adapting Warehouse Management Systems to the Requirements of the Evolving Era of Industry 4.0." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-2611.

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With global megatrends like automation and digitization changing societies, economies, and ultimately businesses, shift is underway, disrupting current business plans and entire industries. Business actors have accordingly developed an instinctive fear of economic decline and realized the necessity of taking adequate measures to keep up with the times. Increasingly, organizations find themselves in an evolve-or-die race with their success depending on their capability of recognizing the requirements for serving a specific market and adopting those requirements accurately into their own structure. In the transportation and logistics sector, emerging technological and information challenges are reflected in fierce competition from within and outside. Especially, processes and supporting information systems are put to the test when technological innovation start to spread among an increasing number of actors and promise higher performance or lower cost. As to warehousing, technological innovation continuously finds its way into the premises of the heterogeneous warehouse operators, leading to modifications and process improvements. Such innovation can be at the side of the hardware equipment or in the form of new software solutions. Particularly, the fourth industrial revolution is globally underway. Same applies to Future Internet technologies, a European term for innovative software technologies and the research upon them. On the one hand, new hardware solutions using robotics, cyber-physical systems and sensors, and advanced materials are constantly put to widespread use. On the other one, software solutions based on intensified digitization including new and more heterogeneous sources of information, higher volumes of data, and increasing processing speed are also becoming an integral part of popular information systems for warehouses, particularly for warehouse management systems. With a rapidly and dynamically changing environment and new legal and business requirements towards processes in the warehouses and supporting information systems, new performance levels in terms of quality and cost of service are to be obtained. For this purpose, new expectations of the functionality of warehouse management systems need to be derived. While introducing wholly new solutions is one option, retrofitting and adapting existing systems to the new requirements is another one. The warehouse management systems will need to deal with more types of data from new and heterogeneous data sources. Also, it will need to connect to innovative machines and represent their respective operating principles. In both scenarios, systems need to satisfy the demand for new features in order to remain capable of processing information and acting and, thereby, to optimize logistics processes in real time. By taking a closer look at an industrial use case of a warehouse management system, opportunities of incorporating such new requirements are presented as the system adapts to new data types, increased processing speed, and new machines and equipment used in the warehouse. Eventually, the present paper proves the adaptability of existing warehouse management systems to the requirements of the new digital world, and viable methods to adopt the necessary renovation processes.
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Zunic, Emir, Sead Delalic, Kerim Hodzic, Admir Besirevic, and Harun Hindija. "Smart Warehouse Management System Concept with Implementation." In 2018 14th Symposium on Neural Networks and Applications (NEUREL). IEEE, 2018. http://dx.doi.org/10.1109/neurel.2018.8587004.

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Yan, Bo, Yiyun Chen, and Xiaosheng Meng. "RFID Technology Applied in Warehouse Management System." In 2008 ISECS International Colloquium on Computing, Communication, Control, and Management. IEEE, 2008. http://dx.doi.org/10.1109/cccm.2008.372.

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Puehs, Helmuth. "Rolling Stock Equipment &Warehouse Management System." In World Urban Transit Conference 2010. Singapore: Research Publishing Services, 2010. http://dx.doi.org/10.3850/978-981-08-6396-8_p186.

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Gunawan, Ali. "Project Management Application Using Data Warehouse." In 2021 3rd International Conference on Cybernetics and Intelligent System (ICORIS). IEEE, 2021. http://dx.doi.org/10.1109/icoris52787.2021.9649543.

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Li, Gen, Jianmin Zhang, Minghua Niu, and Yong Li. "Warehouse Security System based on Embedded System." In International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015). Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/lemcs-15.2015.245.

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Zizhuo Yang, Jun Wang, Qianmin Su, and Bocheng Zhong. "The design of web-based warehouse management system." In 2014 11th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2014. http://dx.doi.org/10.1109/wcica.2014.7053577.

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Du, LingLing. "Financial Decision Support System Research Based on Data Warehouse." In 2009 International Conference on Information Management, Innovation Management and Industrial Engineering. IEEE, 2009. http://dx.doi.org/10.1109/iciii.2009.163.

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Reports on the topic "Warehouse management system"

1

Michelson, Hope, Chris Barrett, Cheryl Palm, Annemie Maertens, Wezi Mhango, and Ephraim Chirwa. The effect of demonstration plots and the warehouse receipt system on integrated soil fertility management adoption, yield and income of smallholder farmers: a study from Malawi’s Anchor Farms. International Initiative for Impact Evaluation (3ie), July 2020. http://dx.doi.org/10.23846/tw4ie122.

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Ke, Jian-yu, Fynnwin Prager, Jose Martinez, and Chris Cagle. Achieving Excellence for California’s Freight System: Developing Competitiveness and Performance Metrics; Incorporating Sustainability, Resilience, and Workforce Development. Mineta Transportation Institute, December 2021. http://dx.doi.org/10.31979/mti.2021.2023.

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This study explores the question of whether California's freight system is staying competitive with other US regions. A novel analytical framework compares supply chain performance metrics across multiple US states and regions for seaports, airports, highways, freight rail service, and distribution centers by combining the Performance Evaluation Matrix (PEM), Competitive Position Matrix (CPM), and Business Process Management (BPM) approaches. Analysis of industry data and responses from structured interviews with 30 freight industry experts across 5 transportation sectors suggests that California's freight system is competitive for seaports, airports, and freight rail; however, highways and distribution centers have room for improvement with respect to travel time reliability and operation costs, and California should prioritize infrastructure investments here. To stay competitive with the Texas and North East regions, state investments could also expand seaport container terminals and air cargo handling facilities, improve intermodal port connections and management of flows of chassis, container trucks, empty containers to ameliorate cargo backlogs and congestion on highways, at the ports, and at warehouses. The state could also invest in inland ports, transporting goods by rail directly from seaports to the Inland Empire or Central Valley.
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