DEVELOPING AN INTEGRATED FRAMEWORK FOR COST OPTIMIZATION IN INDUSTRIAL PRODUCTION SYSTEMS

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 (Ꞥ 1798660730.00k). The developed Mixed Integer Linear programming (MILP) technique significantly reduced the company’s manufacturing operations cost to one billion, six hundred and seventy eight million, one hundred thousand, two hundred and forty six naira (Ꞥ1678100246.00k). The model showed manufacturing operations cost reduction of one hundred and twenty million, five hundred and sixty thousand, four hundred and eighty four naira (Ꞥ120560484). 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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-17
DOI
https://doi.org/10.5281/zenodo.19066412
Primary Topic
Optimization and Mathematical Programming
Type
article
Field-Weighted Citation Impact
0.00
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article

DEVELOPING AN INTEGRATED FRAMEWORK FOR COST OPTIMIZATION IN INDUSTRIAL PRODUCTION SYSTEMS

Leslie Michels Thompson, Hiroshi Takumi Nakamura
Zenodo (CERN European Organization for Nuclear Research)
Optimization and Mathematical Programming
article

DEVELOPING AN INTEGRATED FRAMEWORK FOR COST OPTIMIZATION IN INDUSTRIAL PRODUCTION SYSTEMS

Leslie Michels Thompson, Hiroshi Takumi Nakamura
article en

Abstract

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 (Ꞥ 1798660730.00k). The developed Mixed Integer Linear programming (MILP) technique significantly reduced the company’s manufacturing operations cost to one billion, six hundred and seventy eight million, one hundred thousand, two hundred and forty six naira (Ꞥ1678100246.00k). The model showed manufacturing operations cost reduction of one hundred and twenty million, five hundred and sixty thousand, four hundred and eighty four naira (Ꞥ120560484). 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.

Zenodo (CERN European Organization for Nuclear Research)
Massachusetts Institute of Technology (US), The University of Tokyo (JP)
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Optimization and Mathematical Programming
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DEVELOPING AN INTEGRATED FRAMEWORK FOR COST OPTIMIZATION IN INDUSTRIAL PRODUCTION SYSTEMS — Leslie Michels Thompson, Hiroshi Takumi Nakamura · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS