In this era, the global economy experiences constant fluctuations. Efficient management of the supply chain is crucial for entrepreneurs to achieve success on a global level. This study aims to evaluate the guidelines for international supply chain management in the industrial business sector, considering the impact of global economic fluctuations. The research was further developed into a structural equation model that integrated both qualitative and quantitative research methods. A quantitative survey was conducted using a questionnaire that collected data from 500 executives involved in international import and export activities in the industrial business sector. The analysis utilised descriptive, reference, and multiple statistics. The research findings highlight the significance of international supply chain management guidelines in the industrial business sector during periods of global economic fluctuations. Here is the ranking of the four elements: 1) Technology (  = 4.56): the most crucial aspect is planning the use of information technology systems for supply chain operations in conditions consistent with the organization's strategic plan. 2) Communication Integration (  = 4.43), the significant aspect is developing skills and abilities to create effective relationship management strategies with trading partners in the supply chain system. 3) Management Competency (  = 4.39): the most crucial aspect is setting challenging production indicators to drive changes in the working behaviour of personnel within the organization. 4) Economic Environment (  = 4.37): the most important aspect is to follow up on the economic situation both domestically and abroad to prepare a business plan. The results of the hypothesis test suggest that there is no significant difference in the importance given to international supply chain management guidelines by small and medium-sized businesses and large businesses during periods of global economic fluctuation, at a significance level of 0.05. In addition, the structural equation model that was developed successfully met the evaluation criteria and aligned with the empirical results. The statistical analysis yielded a chi-square probability level of 0.089, a relative chi-square of 1.108, a concordance index of 0.950, and a root mean square error of approximation of 0.015.