Volume 71 | Issue 6 | Year 2025 | Article Id. IJMTT-V71I6P101 | DOI : https://doi.org/10.14445/22315373/IJMTT-V71I6P101
Received | Revised | Accepted | Published |
---|---|---|---|
04 Apr 2025 | 15 May 2025 | 01 Jun 2025 | 16 Jun 2025 |
Optimizing production costs in dynamic and uncertain environments is crucial for organizational sustainability in an increasingly competitive global market. This study offers an elaborate solution to the problem of dynamic cost optimization by using goal programming accompanied by Lindo Optimizer, set for a variable cost production environment over several problem configurations. The research objectives are to develop multi-objective models that balance cost reduction resources, allocation, and production quantity competitively. Systematic prioritization and reconciliation of conflicting objectives are managed through goal programming, and model resolution is done through Lindo Optimizer on supplied linear and nonlinear models. The case studies in this study are derived from manufacturing, logistics, and service industries, demonstrating the model’s applicability and utility. As a result, the decision-making process, operational efficiency, and control over incurred costs were significantly improved. The models were effective, and the results demonstrate the improvement in management quality. The work provided strong literature on optimally strategic cost moderation and showcased the value of highly refined optimization implements in sophisticated production settings.
Dynamic Cost Optimization , Goal Programming , Lindo Optimizer , Variable Cost Production , Multi-Objective Optimization.
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