Academic literature on the topic 'Warehouse management system'
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Journal articles on the topic "Warehouse management system"
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.
Full textChen, 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.
Full textYang, 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.
Full textกิตติธีรพรชัย, 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.
Full textHu, 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.
Full textKrishnan, 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.
Full textLikhouzova, 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.
Full textLi, 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.
Full textVatumalae, 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.
Full textKolarovszki, 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.
Full textDissertations / Theses on the topic "Warehouse management system"
С, Курбацький Д. "АРХІТЕКТУРА ПРОГРАМНОГО ЗАБЕЗПЕЧЕННЯ WAREHOUSE MANAGEMENT SYSTEM." Thesis, Київ, Національний авіаційний університет, 2015. http://er.nau.edu.ua/handle/NAU/19291.
Full textKovalenko, 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.
Full textWarehouse 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.
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.
Full textRydeman, 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.
Full textAs 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.
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.
Full textThe 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.
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.
Full textNowadays, 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.
Cross, Nicholas J. "The Impact of Executing a Warehouse Management System Change: A Case Study." TopSCHOLAR®, 2019. https://digitalcommons.wku.edu/theses/3162.
Full textCarlswärd, 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.
Full textData 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.
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.
Full textChoi, 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.
Full textThesis: 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.
Books on the topic "Warehouse management system"
Slater, Alan. Example agreement for the supply of a warehouse management system plus equipment and software support services. Altrincham: Institute of Logistics & Transport, 2004.
Find full text1938-, Gupta A. K., ed. Information-statistical data mining: Warehouse integration with examples of Oracle basics. Boston: Kluwer Academic, 2004.
Find full textSy, Bon K. Information-statistical data mining: Warehouse integration with examples of Oracle basics. Boston: Kluwer Academic, 2004.
Find full textHompel, Michael Ten. Warehouse management: Automation and organisation of warehouse and order picking systems. Berlin: Springer, 2007.
Find full textUppuleti, Varun. Customizing extended warehouse management with SAP ERP. Bonn [Germany]: Galileo Press, 2010.
Find full textUppuleti, Varun. Customizing extended warehouse management with SAP ERP. Bonn [Germany]: Galileo Press, 2010.
Find full textUppuleti, Varun. Customizing extended warehouse management with SAP ERP. Bonn: Galileo Press, 2009.
Find full textObal, Philip. What to look for in warehouse management systems software. Webbers Falls, OK: Industrial Data & Information, 1998.
Find full textCo, Business Communications. Global markets for warehouse management systems and related services. Norwalk, CT: Business Communications Co., 2002.
Find full textBook chapters on the topic "Warehouse management system"
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.
Full textWang, 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.
Full textStamelos, 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.
Full textWang, 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.
Full textMa, 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.
Full textDing, 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.
Full textde 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.
Full textSato, 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.
Full textChoong, 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.
Full textMoufaddal, 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.
Full textConference papers on the topic "Warehouse management system"
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.
Full textZhang, 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.
Full textAlias, 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.
Full textZunic, 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.
Full textYan, 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.
Full textPuehs, 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.
Full textGunawan, 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.
Full textLi, 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.
Full textZizhuo 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.
Full textDu, 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.
Full textReports on the topic "Warehouse management system"
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.
Full textKe, 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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