Optimizing Multi-Plant Supply Chains: A Case Study of Textile and Spare Parts Production in Qatar and Türkiye

Omar A. Hasnah; Majed Hadid; Regina Padmanabhan; Laoucine Kerbache

doi:10.1016/j.procs.2025.01.138

Optimizing Multi-Plant Supply Chains: A Case Study of Textile and Spare Parts Production in Qatar and Türkiye

Omar A. Hasnah, Majed Hadid, Regina Padmanabhan, Laoucine Kerbache^*

^*Corresponding author for this work

CSE Engineering Management and Decision Sciences

Hamad bin Khalifa University

Research output: Contribution to journal › Conference article › peer-review

Abstract

In today's globalized market, optimizing supply chains is crucial for firms to remain competitive. This paper presents a case study on optimizing a multi-plant supply chain for a firm with textile and spare parts production plants in Qatar and Türkiye, utilizing two warehouses in each country. The objective is to address production quantity decisions, unmet demand, and storage location optimization. The methodology involves formulating the problem as a linear programming model and generating solutions for various scenarios of the case study. Based on the results, discussion and future suggestions are provided.

Original language	English
Pages (from-to)	765-773
Number of pages	9
Journal	Procedia Computer Science
Volume	253
DOIs	https://doi.org/10.1016/j.procs.2025.01.138
Publication status	Published - 2025
Event	6th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2024 - Prague, Czech Republic Duration: 13 Nov 2024 → 15 Nov 2024

Keywords

Linear Programming
Multi-Plant
Spare Parts
Supply Chain Optimization
Textile Industry

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10.1016/j.procs.2025.01.138

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title = "Optimizing Multi-Plant Supply Chains: A Case Study of Textile and Spare Parts Production in Qatar and T{\"u}rkiye",

abstract = "In today's globalized market, optimizing supply chains is crucial for firms to remain competitive. This paper presents a case study on optimizing a multi-plant supply chain for a firm with textile and spare parts production plants in Qatar and T{\"u}rkiye, utilizing two warehouses in each country. The objective is to address production quantity decisions, unmet demand, and storage location optimization. The methodology involves formulating the problem as a linear programming model and generating solutions for various scenarios of the case study. Based on the results, discussion and future suggestions are provided.",

keywords = "Linear Programming, Multi-Plant, Spare Parts, Supply Chain Optimization, Textile Industry",

author = "Hasnah, {Omar A.} and Majed Hadid and Regina Padmanabhan and Laoucine Kerbache",

note = "Publisher Copyright: {\textcopyright} 2025 The Author(s).; 6th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2024 ; Conference date: 13-11-2024 Through 15-11-2024",

year = "2025",

doi = "10.1016/j.procs.2025.01.138",

language = "English",

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journal = "Procedia Computer Science",

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TY - JOUR

T1 - Optimizing Multi-Plant Supply Chains

T2 - 6th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2024

AU - Hasnah, Omar A.

AU - Hadid, Majed

AU - Padmanabhan, Regina

AU - Kerbache, Laoucine

PY - 2025

Y1 - 2025

N2 - In today's globalized market, optimizing supply chains is crucial for firms to remain competitive. This paper presents a case study on optimizing a multi-plant supply chain for a firm with textile and spare parts production plants in Qatar and Türkiye, utilizing two warehouses in each country. The objective is to address production quantity decisions, unmet demand, and storage location optimization. The methodology involves formulating the problem as a linear programming model and generating solutions for various scenarios of the case study. Based on the results, discussion and future suggestions are provided.

AB - In today's globalized market, optimizing supply chains is crucial for firms to remain competitive. This paper presents a case study on optimizing a multi-plant supply chain for a firm with textile and spare parts production plants in Qatar and Türkiye, utilizing two warehouses in each country. The objective is to address production quantity decisions, unmet demand, and storage location optimization. The methodology involves formulating the problem as a linear programming model and generating solutions for various scenarios of the case study. Based on the results, discussion and future suggestions are provided.

KW - Linear Programming

KW - Multi-Plant

KW - Spare Parts

KW - Supply Chain Optimization

KW - Textile Industry

UR - http://www.scopus.com/inward/record.url?scp=105000474520&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2025.01.138

DO - 10.1016/j.procs.2025.01.138

M3 - Conference article

AN - SCOPUS:105000474520

SN - 1877-0509

VL - 253

SP - 765

EP - 773

JO - Procedia Computer Science

JF - Procedia Computer Science

Y2 - 13 November 2024 through 15 November 2024

ER -

Optimizing Multi-Plant Supply Chains: A Case Study of Textile and Spare Parts Production in Qatar and Türkiye

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Keywords

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