Publication:
Mathematical model assisted six-sigma approach for reducing the logistics costs of a pipe manufacturing company: A novel experimental approach

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Date

2023-02-01

Authors

Küçük, Metin
Akansel, Mehmet

Authors

Sharma, Shubham
Li, Changhe
Kumar, Raman
Singh, Sunpreet
Di Bona, Gianpaolo

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Publisher

Mdpi

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Abstract

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

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Keywords

Transportation costs, Six-sigma, Future, Design, Logistics, Dmaic cycle, Logistics costs, Mathematical models, Mathematical programming language, Six-sigma, Science & technology, Physical sciences, Mathematics

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