Vol. 1 No. 1 (2024): Nov-Dec
Articles

Impact of Real-Time MIS on Supply Chain Management  A Case Study Approach

Tasfia Tarannum
Department of Science in Business Analytics and certification in Supply Chain Management, Southern Arkansas University, USA
Mohammad Zobair Hossain
Department of Management of Information Systems at Texas A&M University, USA

Published 2024-12-31

Keywords

  • Real-Time MIS,
  • Supply Chain Management,
  • Operational Efficiency,
  • Lead Time Reduction,
  • Inventory Management

Abstract

Real-Time Management Information Systems (RT-MIS) are revolutionizing Supply Chain Management (SCM) by enhancing visibility and responsiveness. This study aims to evaluate the impact of RT-MIS on SCM performance, focusing on operational efficiency, lead time reduction, inventory management, and overall supply chain responsiveness. Conducted at the Department of Management Information Systems, Texas A&M University-Texarkana, from June 2023 to June 2024, this research employed a case study approach. Data were collected from five organizations across diverse industries that have implemented RT-MIS in their supply chains. Quantitative data were gathered through structured surveys and system performance metrics, while qualitative insights were obtained via in-depth interviews with supply chain managers and IT professionals. Statistical analyses, including descriptive statistics, regression models, standard deviation calculations, and hypothesis testing with p-values, were performed using SPSS version 26.0 to assess the relationship between RT-MIS adoption and key SCM performance indicators. The analysis revealed that RT-MIS implementation led to a 45% increase in operational efficiency (SD = 5.6) and a 38% reduction in lead times (SD = 4.9), both highly significant (p < 0.001). Inventory turnover improved by 30% (SD = 6.2, p < 0.01), and overall supply chain responsiveness enhanced by 35% (SD = 5.3, p < 0.001). Regression analysis indicated that RT-MIS adoption significantly predicts operational efficiency (R² = 0.67, p < 0.001) and lead time reduction (R² = 0.62, p < 0.001). Additionally, qualitative data highlighted enhanced decision-making capabilities and real-time problem-solving as critical factors contributing to these improvements. The standard deviations demonstrate consistent performance gains across different sectors, underscoring the versatility and effectiveness of RT-MIS in diverse supply chain environments. The integration of RT-MIS significantly enhances SCM performance, driving operational efficiency, reducing lead times, and improving inventory management. These findings underscore the strategic importance of real-time information systems in optimizing supply chain operations and fostering competitive advantage.