Mathematical Model Assisted Six-Sigma Approach for Reducing the Logistics Costs of a Pipe Manufacturing Company: A Novel Experimental Approach-Reference-Cited by-同舟云学术

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

Published:2023-01-26 Issue:3 Volume:11 Page:621
ISSN:2227-7390
Container-title:Mathematics
language:en
Short-container-title:Mathematics

Author:

Orbak Âli Yurdun¹^ORCID,Küçük Metin²³,Akansel Mehmet¹^ORCID,Sharma Shubham⁴⁵^ORCID,Li Changhe⁵^ORCID,Kumar Raman⁶^ORCID,Singh Sunpreet⁴⁷^ORCID,Di Bona Gianpaolo⁸^ORCID

Affiliation:

1. Department of Industrial Engineering, Bursa Uludag University, Gorukle, Bursa 16059, Turkey

2. Graduate School of Applied Science, Bursa Uludag University, Gorukle, Bursa 16059, Turkey

3. Quality Engineer & Customer Representative, Bosch GmbH, Bursa 16159, Turkey

4. Department of Mechanical Engineering, University Centre for Research and Development, Chandigarh University, Punjab 140413, India

5. School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China

6. Department of Mechanical and Production Engineering, Guru Nanak Dev Engineering College, Ludhiana 141006, India

7. Department of Mechanical Engineering, National University of Singapore, Singapore 119077, Singapore

8. Department of Civil and Industrial Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy

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.

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Link

https://www.mdpi.com/2227-7390/11/3/621/pdf

Reference30 articles.

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