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

Âli Yurdun Orbak (), Metin Küçük, Mehmet Akansel, Shubham Sharma (), Changhe Li, Raman Kumar, Sunpreet Singh and Gianpaolo Di Bona ()
Additional contact information
Âli Yurdun Orbak: Department of Industrial Engineering, Bursa Uludag University, Gorukle, Bursa 16059, Turkey
Metin Küçük: Graduate School of Applied Science, Bursa Uludag University, Gorukle, Bursa 16059, Turkey
Mehmet Akansel: Department of Industrial Engineering, Bursa Uludag University, Gorukle, Bursa 16059, Turkey
Shubham Sharma: Department of Mechanical Engineering, University Centre for Research and Development, Chandigarh University, Punjab 140413, India
Changhe Li: School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China
Raman Kumar: Department of Mechanical and Production Engineering, Guru Nanak Dev Engineering College, Ludhiana 141006, India
Sunpreet Singh: Department of Mechanical Engineering, University Centre for Research and Development, Chandigarh University, Punjab 140413, India
Gianpaolo Di Bona: Department of Civil and Industrial Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy

Mathematics, 2023, vol. 11, issue 3, 1-18

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.

Keywords: logistics; DMAIC cycle; logistics costs; mathematical models; mathematical programming language; six-sigma (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/11/3/621/pdf (application/pdf)
https://www.mdpi.com/2227-7390/11/3/621/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:11:y:2023:i:3:p:621-:d:1047345

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().