WATERFALL METHOD OF WEB-BASED SYSTEM TO DEVELOP WAREHOUSE PACKING EFFECTIVELY

Muhamad Addrian Saopan

Abstract


This study aims to develop an efficient Warehouse Packing System for PT Luna Technology Group in order to improve operational efficiency and minimize packing errors in logistics processes. The research adopts the Waterfall Method, employing a systematic approach that encompasses requirements analysis, system design, implementation, and testing. Data was collected through qualitative observational methods, including interviews and direct observations of the existing packing processes. The findings demonstrate that the implementation of a web-based packing system significantly reduces packing times, mitigates errors in item selection, and lowers operational costs compared to the previous manual methods. The research concludes that embracing a structured software development methodology not only enhances the packing process, but also positions PT Luna Technology Group as a competitive player in the logistics industry, underscoring the need for continuous technological advancements in warehouse management.

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References


D. Handoko, A. Asyhari, and M. F. Al Qusri, “DESIGNING A LEARNING INFORMATION SYSTEM BASED ON ANDROID (CASE STUDY OF JUNIOR HIGH SCHOOL 4 OF KOTA BUMI),” AISJ, vol. 1, no. 1, p. 21, May 2022, doi: 10.24042/aisj.v1i1.13623.

alazs Gyo ̈ rffy and H. Lage, “A Web-Based Data Warehouse on Gene Expression in Human Malignant Melanoma,” Journal of Investigative Dermatology, vol. 127, pp. 394–399, 2006, doi: 394–399. doi:10.1038/sj.jid.5700543.

Y. Baalousha and T. Çelik, “AN INTEGRATED WEB-BASED DATA WAREHOUSE AND ARTIFICIAL NEURAL NETWORKS SYSTEM FOR UNIT PRICE ANALYSIS WITH INFLATION ADJUSTMENT / INTEGRUOTA INTERNETINĖ DUOMENŲ SAUGYKLOS IR DIRBTINIŲ NEURONINIŲ TINKLŲ SISTEMA, SKIRTA VIENETO KAINAI ANALIZUOTI ATSIŽVELGIANT Į INFLIACIJĄ,” Journal of Civil Engineering and Management, vol. 17, no. 2, pp. 157–167, Jul. 2011, doi: 10.3846/13923730.2011.576806.

Zizhuo Yang, Jun Wang, Qianmin Su, and Bocheng Zhong, “The design of web-based warehouse management system,” in Proceeding of the 11th World Congress on Intelligent Control and Automation, Shenyang, China: IEEE, Jun. 2014, pp. 5077–5081. doi: 10.1109/WCICA.2014.7053577.

X. Hong, L. Zai-wen, and M. Hai-yang, “Study and Realization of Supermarket BI System Based on Data Warehouse and Web Technique,” in 2008 International Conference on Computer Science and Software Engineering, Wuhan, China: IEEE, 2008, pp. 482–485. doi: 10.1109/CSSE.2008.877.

J. Zhang and F. Song, “Application of Web and Data Warehouse in MDSS Based on Multi-Agent Systems,” in 2009 International Conference on Management and Service Science, Beijing, China: IEEE, Sep. 2009, pp. 1–4. doi: 10.1109/ICMSS.2009.5304405.

Xiaofei Wang, Yunqiu Chen, and Yuliang Liu, “Web-oriented warfare command decision support system based on agent and data warehouse,” in 2005 International Conference on Cyberworlds (CW’05), Singapore: IEEE, 2005, p. 6 pp. – 498. doi: 10.1109/CW.2005.98.

B. Pande, S. Mishra, and S. Dhanusu, “A Study On Utility of Web-Based Drug Warehouse Management System (E-Aushadhi) In A Peripheral Hospital of Metropolitan City of Maharashtra,” Natl J Community Med, vol. 13, no. 12, pp. 858–863, Dec. 2022, doi: 10.55489/njcm.131220222478.

J. Yu and J. Xu, “Design and Implementation of Warehouse Management System Based on Web Technology,” in 2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE), Huhhot: IEEE, Sep. 2018, pp. 665–671. doi: 10.1109/ICMCCE.2018.00147.

S. Yang, R. Tao, W. Tan, and W. Zhang, “Gateway of Internet of Things for Intelligent Warehouse Management System Based on Embedded Web Server,” in Proceedings of International Conference on Computer Science and Information Technology, vol. 255, S. Patnaik and X. Li, Eds., in Advances in Intelligent Systems and Computing, vol. 255. , New Delhi: Springer India, 2014, pp. 213–220. doi: 10.1007/978-81-322-1759-6_26.

Q. Zhang, K. Li, and J. Yu, “Application of Multi-AGENT System On WEB-BASED Data Warehouse for Pricing System of Power Supplier,” in 2006 IEEE PES Power Systems Conference and Exposition, Atlanta, Georgia, USA: IEEE, 2006, pp. 1464–1470. doi: 10.1109/PSCE.2006.296517.

Liang Tan and Lihong Dong, “THe Design Of Web Dynpro Java Based Warehouse Management System,” in 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), Deng Feng, China: IEEE, Aug. 2011, pp. 4470–4472. doi: 10.1109/AIMSEC.2011.6010046.

R. Navigli and P. Velardi, “Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites,” Computational Linguistics, vol. 30, no. 2, pp. 151–179, Jun. 2004, doi: 10.1162/089120104323093276.

J. M. Perez, R. Berlanga, M. J. Aramburu, and T. B. Pedersen, “Integrating Data Warehouses with Web Data: A Survey,” IEEE Trans. Knowl. Data Eng., vol. 20, no. 7, pp. 940–955, Jul. 2008, doi: 10.1109/TKDE.2007.190746.

V. Nebot and R. Berlanga, “Building data warehouses with semantic web data,” Decision Support Systems, vol. 52, no. 4, pp. 853–868, Mar. 2012, doi: 10.1016/j.dss.2011.11.009.

J. Reich, R. Murnane, and J. Willett, “The State of Wiki Usage in U.S. K–12 Schools: Leveraging Web 2.0 Data Warehouses to Assess Quality and Equity in Online Learning Environments,” Educational Researcher, vol. 41, no. 1, pp. 7–15, Jan. 2012, doi: 10.3102/0013189X11427083.

B. Vrdoljak, M. Banek, and S. Rizzi, “Designing Web Warehouses from XML Schemas,” in Data Warehousing and Knowledge Discovery, vol. 2737, Y. Kambayashi, M. Mohania, and W. Wöß, Eds., in Lecture Notes in Computer Science, vol. 2737. , Berlin, Heidelberg: Springer Berlin Heidelberg, 2003, pp. 89–98. doi: 10.1007/978-3-540-45228-7_10.

K. Selma, B. Ilyès, B. Ladjel, S. Eric, J. Stéphane, and B. Michael, “Ontology-based structured web data warehouses for sustainable interoperability: requirement modeling, design methodology and tool,” Computers in Industry, vol. 63, no. 8, pp. 799–812, Oct. 2012, doi: 10.1016/j.compind.2012.08.001.

S. J. You and S. H. Ji, “Design of a Multi-robot Bin Packing System in an Automatic Warehouse:,” in Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Vienna, Austria: SCITEPRESS - Science and and Technology Publications, 2014, pp. 533–538. doi: 10.5220/0005098505330538.

L. Etcheverry, A. Vaisman, and E. Zimányi, “Modeling and Querying Data Warehouses on the Semantic Web Using QB4OLAP,” in Data Warehousing and Knowledge Discovery, vol. 8646, L. Bellatreche and M. K. Mohania, Eds., in Lecture Notes in Computer Science, vol. 8646. , Cham: Springer International Publishing, 2014, pp. 45–56. doi: 10.1007/978-3-319-10160-6_5.

T. Sato and H. 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, J. Xu, M. Gen, A. Hajiyev, and F. L. Cooke, Eds., Cham: Springer International Publishing, 2018, pp. 1054–1066. doi: 10.1007/978-3-319-59280-0_87.

Yan Zhu and A. Buchmann, “Evaluating and selecting Web sources as external information resources of a data warehouse,” in Proceedings of the Third International Conference on Web Information Systems Engineering, 2002. WISE 2002., Singapore: IEEE Comput. Sci, 2002, pp. 149–160. doi: 10.1109/WISE.2002.1181652.

N. Hamada, “Optimal scheduling of the packing system in an automated warehouse and its evaluation,” Electrical Engineering Japan, vol. 96, no. 6, pp. 145–153, Jan. 1976, doi: 10.1002/eej.4390960619.

J. Leng et al., “Digital twin-driven joint optimisation of packing and storage assignment in large-scale automated high-rise warehouse product-service system,” International Journal of Computer Integrated Manufacturing, vol. 34, no. 7–8, pp. 783–800, Aug. 2021, doi: 10.1080/0951192X.2019.1667032.




DOI: http://dx.doi.org/10.24042/aisj.v2i2.19126

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