Research
Lean Six Sigma and Big Data Analytics: An integrated Approach for Data-Driven Decision Making
This paper explores the integration of lean six sigma and AI technologies and how they can enhance each other’s value. The paper introduces AI technologies such as Big Data Analytics, Data Mining and Machine Learning and explains how they can be applied within Lean Six Sigma frameworks. The paper also proposes a synergetic framework that combines AI tools and Lean Six Sigma methodologies. The paper is structured as follows. Section 1 is the introduction. Section 2 gives a brief overview of Lean Methodologies and their frameworks. Section 3 and 4 describe AI technologies, focusing on Big Data Analytics and Machine Learning (ML). Section 5 presents the synergetic framework that embeds AI tools into Lean Six Sigma (LSS) frameworks.
Econometrics Modeling for Strategic Warehouse Optimization
Warehouse inventory and layout optimization are critical to inventory and logistics management in organizations. In many instances, limited warehouse space is a constraint and a barrier to expanding operations and increasing demand. In this paper, I explore various econometric optimization models to improve inventory management and space utilization. I present various case studies to illustrate the applicability and use benefits. Additionally, I’ve applied one such econometric model to a sample inventory dataset from Saudi Aramco demonstrating its effectiveness in identifying opportunities for improving inventory management and space optimization.
