The Development of Decision Support System of Logistics Service Users for Processed Rubber Industry in the Area of Indochaina Intersaction

Main Article Content

Manit Singthongchai
Tharinee Manisri
Sakuna Anuvareepong

Abstract

The research article consisted of the following objectives: 1) to develop the decision support system in the form of web application for logistics service users of processed rubber inductry; 2) to assess the efficiency of the developed system; and 3) to assess the needs of logistic service users and the tendencies in the future. A sample group used for the study was divided into 3 groups as follows: 1) The data group used with the decision support system was the shipping company and/or warehouse; 2) The data group used to find the needs for logistics services was the product manufacturer and industrial factory; and 3) The group of assessors consisted of logistics service users which were manufacturing operators in Phitsanulok and the lower northern provinces of 400 people, as well as system assessment experts of 5 people. The research instruments were the structure interview form by hierarchical decision analysis and the algorithm of decision tree technique that was suitable for decision support system. The test was conducted using Weka 3.9.4 program and efficiency assessment form. The results of the study were as follows: 1) The development of a decision support system in the form of the web application was created based on a model that was tested for validity on datasets with the J48 technique giving an accuracy of 50.5% and an inaccurate prediction equal to 49.5%. As a result, the developed system was able to function responding to the suitable characteristics or data with the accuracy corresponding to the needs of the system users; 2) The results of the efficiency assessment of the system by experts were at a high level with an average of 3.75; and 3) The results of the needs of experts were at a high level with an overall average of 3.76. While the logistics service users and the tendencies in the future were at a high level with an average of 4.11.

Article Details

How to Cite
Singthongchai, M., Manisri , T. ., & Anuvareepong, S. . (2020). The Development of Decision Support System of Logistics Service Users for Processed Rubber Industry in the Area of Indochaina Intersaction. Journal of MCU Peace Studies, 9(4), 1352–1365. retrieved from https://so03.tci-thaijo.org/index.php/journal-peace/article/view/245153
Section
Research Articles

References

Aussawakornnirangkool, P. (2019). Adaptation of Thai Logistics Transportation Service Provider in the Digital Age. Journal of Humanities and Social Sciences, Rajapruk University, 5(supplement), 15-29.

Chankaew, K., & Piriyapornsiri, J. (2017). Management Information System of Life Assurance. Proceedings of the National and 8th International conference, Hatyai University.

Chawbangprom, K. (2011). Decision support system for master production scheduling and material requirement planning: a case study of flavor squid factory. (Master’s Thesis). National Institute of Development Administration. Bangkok.

Chomchalao, C., & Pitakaso, R. (2010). Heuristic approach to solve vehicle routing problem for drinking water service case study in Numderm Rainbow factory. Proceedings of the Institute of Industrial Engineering Network Conference (IE-Network 2010) (pp.212). Ubon Ratchathani: Sunee grand hotel & Convention center.

Department of International Economic Affairs. (2019). Including interesting economic articles. Bangkok: Business Information Center, Ministry of Foreign Affairs.

Garhan, T. (2016). Decision support system of distribution to reduce cost and optimization. Journal of Thai Interdisciplinary Research, 11(1), 29-34.

Indrapayoong, N. (2005). Discrete optimization in Transport and Logistics. Bangkok: SEEducation Public Company Limited.

Klein, M., & Methlie, L. (2009). Knowledge-based decision support systems with applications in business: a decision support approach. New Jersey: John Wiley & Sons.

Phongsanam, T. (2013). Decision Support System for Master Production Scheduling and Material Requirement Planning Industrial Ceramics. Journal of Vocational Education and Technical Education, 3(5), 66-79.

Phumcharoen, J., Tangsuk, K., & Ploywattanawong, L. (2019). Decision Supporting Systems for Agriculture Planning. KKU Research Journal (Graduate Studies), 19(1), 112-123.

Qaiser, et al. (2017). Decision support systems for sustainable logistics: a review and bibliometric analysis, Industrial Management & Data Systems, 117(7), 1376-1388.

Suriyawong, P. (2013). Decision support system for book ordering using C4.5 algorithm for Win Win Book Rental. (Master’s Thesis). Graduate School: Chiang Mai University. Chiang Mai.