Production control of a manufacturing system with quality-sensitive demand and emission of carbon via equilibrium optimizer algorithm

Le résumé fourni par la source

In the current highly competitive market scenario, every manufacturing firm strives to produce reliable, high-quality items to gain a valuable reputation in the industrial sector. Moreover, the quality of these items attracts consumers’ attention more effectively, thereby increasing competitiveness among manufacturing organizations. The objective of this study is to illustrate how the quality index of produced products influences the business policy of a manufacturing company. In this study, consumer demand is modelled as a nonlinearly increasing function of the product quality index, a linearly increasing function of time, and a nonlinearly decreasing function of the product selling price. Furthermore, the per-unit production cost is modelled as a linear function of the production rate, while the per-unit quality maintenance cost is represented as a nonlinearly increasing function of the product’s quality index. Additionally, the manufacturer’s carbon emission rate is assumed to vary linearly with time. Due to the high nonlinearity of the average profit function corresponding to the proposed model, a meta-heuristic algorithm, specifically, the Equilibrium Optimizer Algorithm (EOA), is applied to solve the optimization problem. To validate the practical applicability of the proposed model, a numerical example is presented and solved. Finally, sensitivity analyses are conducted to provide managerial insights.

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