The research project explores a novel framework for quantifying supply chain resilience. The framework utilizes Social Network Analysis (SNA) indicators and Business Impact concepts to capture the impact and robustness within different tiers of suppliers. It proposes resilience score metrics for comparing sourcing strategies and network designs. While the results may vary based on specific characteristics of individual supply chain networks, the framework provides a valuable starting point for practitioners to understand supply chain resilience.
The project's objective was to analyze product sales patterns, evaluate the impact of promotions, and create accurate sales forecasting models. Internal and external indicators were considered to understand market demand, including urbanization, middle-class growth, healthier habits, and population aging. The hybrid model, combining KNeighbors Regressor and Linear Regression, demonstrated the best performance with a root mean squared error (RSME) of ~16k and a mean absolute percentage error (MAPE) of 19%.
The project involved the implementation of strategic sourcing and inventory policies for around +8k SKUs, resulting in a significant 7% reduction in annual purchases and an increase by up to +90% in materials availability. The project also included forecasting and network design for the three Distribution Centers nationwide.
This project implemented a Supplier Relationship Management (SRM) initiative for all company's contractors involving legal, HSE, Operations, and HR departments. Key achievements included the implementation of a SaaS Digital Platform to automate compliance, supplier development, and new conditions. The project effectively mitigated risks, demonstrated regulatory and client compliance, and fostered supplier development (MSEs) and service level quality.
The project involved a comprehensive lean transformation to enhance customer management, maximize sales and operations, and improve the value chain. Key achievements included the implementation of telesales, resulting in a 30% increase in annual sales and hit rate. A Sales & Operations Committee was also established to ensure efficient order fulfillment, exceeding a 90% monthly target and reducing response time by 40% on average.
The project optimized planning, warehouse, procurement, and logistics operations by conducting process improvement projects, enhancing materials availability, and implementing strategic sourcing initiatives for around 5K SKUs. The project achieved a 30% increase in efficiency and employee satisfaction. Accurate forecasting and inventory policy development resulted in significant improvements, with materials availability increasing by up to +90%. Additionally, the project generated cost savings through strategic sourcing with Asian and European suppliers.
MIT LIFT Lab aims to alleviate poverty in developing countries and LIFTing the lives of the bottom billion. Partnered with MIT LIFT Lab and UDEP, the project focuses on researching micro and small enterprises (MSEs) in Latin America and the Caribbean. Our primary objective was to provide comprehensive support to MSEs, specifically in supply chain management, business skills, and technology adoption. MSEs are vital to the economy in developing regions, but they often struggle to survive due to productivity gaps and external factors like the COVID-19 pandemic and economic factors.