Mathematical Model Assisted Six-Sigma Approach for Reducing the Logistics Costs of a Pipe Manufacturing Company: A Novel Experimental Approach

This research addresses and analyzes the results of a six-sigma approach used to optimize logistics costs pipe manufacturing company. Two mathematical models are developed for containers control company’s logistics. The Mathematical Programming Language (MPL) software is generate solve these models. verify that proposed result in improvement, especially DMAIC (define, measure, analyze, improve, control) cycle by providing flexibility choosing most appropriate