Decision support making process for developing Manufacturing competitiveness base on industry 4.0 concept

Abstract

This research aims to study the important factors that affect the decision making in the manufacturing process development of industrial factories according to the Industry 4.0 concept and to create decision models. The model developed from applying Analytic Hierarchy Process (AHP) to this group of experts focuses on the most strategy and organization factors, accounted for 28.3 percent, followed by the smart factory accounted for 17.8 percent, smart products accounted for 16.3 percent, smart operations accounted for 13.1 percent, employees accounted for 12.5 percent and the data-driven services accounted for 11.9 percent, by the model test results with 3 factories. In conclusion, this model can decide the way to improve the production process of industrial plants according to the Industry 4.0 concept that is suitable for the context and limitations of each industrial plant, can be used for all types of industrial plants, and will directly benefit the decision makers of industrial plants to improve the production process and develop into smart factory based on the Industry 4.0 concept.