IMPROVING MATERIAL REQUIREMENTS PLANNING THROUGH WEB-BASED: A CASE STUDY THAILAND SMEs
Pornsiri KHUMLA
Kalasin University (Thailand)
https://orcid.org/0009-0003-0223-2198
Kamthorn SARAWAN
kamthorn.sa@ksu.ac.thKalasin University (Thailand)
https://orcid.org/0009-0001-9177-2836
Abstract
In the small business industry, effective cost control is of paramount importance. A well-functioning Material Requirements Planning (MRP) process plays a vital role in enabling businesses to manage their costs efficiently. This research paper explores the improvement of MRP in the context of small businesses in Thailand through the implementation of a web-based application. The objective was to enhance the MRP process by developing an MRP system using ReactJS, NodeJS, and PostgreSQL. The system was evaluated using heuristic evaluation techniques and the results indicated a positive outcome, the mean value is 0.83. The developed web based MRP system proved beneficial for small businesses, as it effectively reduced stocking costs and facilitated efficient raw material procurement. This research provides valuable insights into the implementation of web based MRP systems, enabling small businesses to optimize inventory management and enhance operational efficiency.
Keywords:
Material Requirements Planning, Thailand SMEs, Web-based, Heuristic EvaluationReferences
Afolabi, A., Fagbenle, O., & Mosaku, T. (2017). IT Management of building materials’ planning and control processes using web-based technologies. In Á. Rocha, A. M. Correia, H. Adeli, L. P. Reis, & S. Costanzo (Eds.), Recent Advances in Information Systems and Technologies (Vol. 570, pp. 12–19). Springer International Publishing. https://doi.org/10.1007/978-3-319-56538-5_2
DOI: https://doi.org/10.1007/978-3-319-56538-5_2
Google Scholar
Bell, L. C., & Stukhart, G. (1986). Attributes of materials management systems. Journal of Construction Engineering and Management, 112(1), 14–21. https://doi.org/10.1061/(ASCE)0733-9364(1986)112:1(14)
DOI: https://doi.org/10.1061/(ASCE)0733-9364(1986)112:1(14)
Google Scholar
Brown, R. B. (1977). Materials management systems. John Wiley and Sons.
Google Scholar
Budiac, D. (2023, September 27). The Best MRP Software. https://softwareconnect.com/mrp/
Google Scholar
Deif, A. M. (2011). A system model for green manufacturing. Journal of Cleaner Production, 19(14), 1553–1559. https://doi.org/10.1016/j.jclepro.2011.05.022
DOI: https://doi.org/10.1016/j.jclepro.2011.05.022
Google Scholar
Gola, A. (2021). Design and management of manufacturing systems. Applied Science, 11(5), 2216. https://doi.org/10.3390/app11052216
DOI: https://doi.org/10.3390/app11052216
Google Scholar
Hasanati, N., Permatasari, E., Nurhasanah, N., & Hidayat, S. (2019). Implementation of material requirement planning (MRP) on raw material order planning system for garment industry. IOP Conference Series: Materials Science and Engineering, 528, 012064. https://doi.org/10.1088/1757-899X/528/1/012064
DOI: https://doi.org/10.1088/1757-899X/528/1/012064
Google Scholar
Ho, J. C., & Chang, Y. L. (2001). An integrated MRP and JIT framework. Computers & Industrial Engineering, 41(2), 173-185. https://doi.org/10.1016/S0360-8352(01)00052-3
DOI: https://doi.org/10.1016/S0360-8352(01)00052-3
Google Scholar
Jacobs, F. R., & Chase, R. B. (2014). Operations and supply chain management. McGraw-Hill Education.
Google Scholar
Jiao, J., Tseng, M. M., Qinhai, M., & Yi, Z. (2000). Generic bill-of-materials-and-operations for high-variety production management. Concurrent Engineering, 8(4), 297–321. https://doi.org/10.1177/1063293X0000800404
DOI: https://doi.org/10.1177/106329300772625494
Google Scholar
Kapoor, D., Singh, S., & Rawat, A. S. (2022). Digitalization of operations of micro industries using web-based ERP system. International Research Journal of Engineering and Technology, 9(4), 3298-3302. https://doi.org/10.13140/RG.2.2.21366.47683
Google Scholar
Kesorn, K., & Hanchainao, K. (2022). Material Requirement Planning for Thai Desserts Production: Case Study of Khanom Wan Orawan Shop. Kalasin University.
Google Scholar
Mabert, V. A. (2007). The early road to material requirements planning. Journal of Operations Management, 25(2), 346-356. https://doi.org/10.1016/j.jom.2006.04.002
DOI: https://doi.org/10.1016/j.jom.2006.04.002
Google Scholar
Martyani, E., Rohayani, H., Kurniawan, E., & Febrianti, H. (2019). Analysis and information system planning of material requirement planning web. Journal of Physics: Conference Series, 1230, 012022. https://doi.org/10.1088/1742-6596/1230/1/012022
DOI: https://doi.org/10.1088/1742-6596/1230/1/012022
Google Scholar
Matías, J. C. H., García, H. P., García, J. P., & Idoipe, A. V. (2008). Automatic generation of a bill of materials based on attribute patterns with variant specifications in a customer-oriented environment. Journal of Materials Processing Technology, 199(1–3), 431–436. https://doi.org/10.1016/j.jmatprotec.2007.08.038
DOI: https://doi.org/10.1016/j.jmatprotec.2007.08.038
Google Scholar
Rambe, B. H., Pane, R., Irmayani, D., Nasution, M., & Munthe, I. R. (2020). UML modeling and black box testing methods in the school payment information system. Jurnal Mantik, 4(3), 1634-1640.
Google Scholar
Nielsen, J. (1995, April 24). 10 usability heuristics for user interface design. https://www.nngroup.com/articles/ten-usability-heuristics/
Google Scholar
Pheng, L. S., & Meng, C. Y. (2018). Managing productivity in construction: JIT operations and measurements. Routledge.
DOI: https://doi.org/10.4324/9780429449116
Google Scholar
Pierotti, D. (1995). Heuristic evaluation - a system checklist. Xerox Corporation.
Google Scholar
Ptak, C., & Smith, C. (2011). Orlicky's material requirements planning. McGraw-Hill Education.
Google Scholar
Qiang, L., Khong, T. C., San, W. Y., Jianguo, W., & Choy, C. (2001). A Web-based material requirements planning integrated application. Proceedings Fifth IEEE International Enterprise Distributed Object Computing Conference (pp. 14-21). IEEE. https://doi.org/10.1109/EDOC.2001.950419
DOI: https://doi.org/10.1109/EDOC.2001.950419
Google Scholar
Rolstadås, A. (Ed.). (1988). Computer-Aided Production Management. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-73318-5
DOI: https://doi.org/10.1007/978-3-642-73318-5
Google Scholar
Septiawan, H. H., & Panday, R. (2021). Evaluation of raw material inventory in socks home industry using economic order quantity (EOQ). Revista Gestão Inovação e Tecnologias, 11(4), 4561–4572.
DOI: https://doi.org/10.47059/revistageintec.v11i4.2484
Google Scholar
Serrano-Ruiz, J. C., Mula, J., & Poler, R. (2021). Smart master production schedule for the supply chain: a conceptual framework. Computers, 10(12), 156. https://doi.org/10.3390/computers10120156
DOI: https://doi.org/10.3390/computers10120156
Google Scholar
Singh, A., & Wesson, J. (2009). Evaluation criteria for assessing the usability of ERP systems. 2009 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists (SAICSIT '09) (pp. 87-95). Association for Computing Machinery. https://doi.org/10.1145/1632149.1632162
DOI: https://doi.org/10.1145/1632149.1632162
Google Scholar
Tobon-Valencia, E., Lamouri, S., Pellerin, R., & Moeuf, A. (2022). Modeling of the master production schedule for the digital transition of manufacturing SMEs in the context of industry 4.0. Sustainability, 14(19), 12562. https://doi.org/10.3390/su141912562
DOI: https://doi.org/10.3390/su141912562
Google Scholar
Vrat, P. (2014). Materials management: An integrated systems approach. Springer Texts in Business and Economics.
DOI: https://doi.org/10.1007/978-81-322-1970-5
Google Scholar
Authors
Kamthorn SARAWANkamthorn.sa@ksu.ac.th
Kalasin University Thailand
https://orcid.org/0009-0001-9177-2836
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