DEVELOPING AN INTEGRATED FRAMEWORK FOR COST OPTIMIZATION IN INDUSTRIAL PRODUCTION SYSTEMS

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Hauptverfasser: Thompson, Laura Isabelle, Nakamura, Hiroshi Takumi
Format: Recurso digital
Sprache:Englisch
Veröffentlicht: Zenodo 2026
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author Thompson, Laura Isabelle
Nakamura, Hiroshi Takumi
author_facet Thompson, Laura Isabelle
Nakamura, Hiroshi Takumi
contents <p><span>Optimizing costs associated with manufacturing operations is a critical challenge undergone by manufacturing companies while navigating a fiercely competitive business environment. This research work has introduced application of MILP technique in manufacturing operations costs optimization and decision making. The research was conducted in a manufacturing firm in southern part of Nigeria that has two plants and twenty (20) locations for their products. Within the period under review, the first level/company’s analytical technique which it has been adopting to reduce its manufacturing operations costs was found to be one billion, seven hundred and ninety eight million, six hundred and sixty thousand, seven hundred and thirty naira (</span><span>Ꞥ</span><span> 1798660730.00k). The developed Mixed Integer Linear programming (MILP) technique significantly reduced the company</span><span>’</span><span>s manufacturing operations cost to one billion, six hundred and seventy eight million, one hundred thousand, two hundred and forty six naira (</span><span>Ꞥ</span><span>1678100246.00k). The model showed manufacturing operations cost reduction of one hundred and twenty million, five hundred and sixty thousand, four hundred and eighty four naira (</span><span>Ꞥ</span><span>120560484). This accounts for manufacturing operations cost reduction of 7.11% and having all the demand at various locations met from the plant. We believe that this result would be applicable to similar operations. </span></p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19066413
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle DEVELOPING AN INTEGRATED FRAMEWORK FOR COST OPTIMIZATION IN INDUSTRIAL PRODUCTION SYSTEMS
Thompson, Laura Isabelle
Nakamura, Hiroshi Takumi
Logistics operations, mixed-integral, cost optimization, inventory, decision making
<p><span>Optimizing costs associated with manufacturing operations is a critical challenge undergone by manufacturing companies while navigating a fiercely competitive business environment. This research work has introduced application of MILP technique in manufacturing operations costs optimization and decision making. The research was conducted in a manufacturing firm in southern part of Nigeria that has two plants and twenty (20) locations for their products. Within the period under review, the first level/company’s analytical technique which it has been adopting to reduce its manufacturing operations costs was found to be one billion, seven hundred and ninety eight million, six hundred and sixty thousand, seven hundred and thirty naira (</span><span>Ꞥ</span><span> 1798660730.00k). The developed Mixed Integer Linear programming (MILP) technique significantly reduced the company</span><span>’</span><span>s manufacturing operations cost to one billion, six hundred and seventy eight million, one hundred thousand, two hundred and forty six naira (</span><span>Ꞥ</span><span>1678100246.00k). The model showed manufacturing operations cost reduction of one hundred and twenty million, five hundred and sixty thousand, four hundred and eighty four naira (</span><span>Ꞥ</span><span>120560484). This accounts for manufacturing operations cost reduction of 7.11% and having all the demand at various locations met from the plant. We believe that this result would be applicable to similar operations. </span></p>
title DEVELOPING AN INTEGRATED FRAMEWORK FOR COST OPTIMIZATION IN INDUSTRIAL PRODUCTION SYSTEMS
topic Logistics operations, mixed-integral, cost optimization, inventory, decision making
url https://doi.org/10.5281/zenodo.19066413