Abstract
This research presents a preemptive goal-programming model for sustainable multi-objective production planning for the refrigeration and air conditioning industry in Saudi Arabia. The model was solved using LINGO software, taking into account market demand, production revenue, production time, and production cost data to optimize production planning. The findings showed that the objectives of minimizing production cost, maximizing sales revenue, and maximizing machine utilization were achieved, with no negative or positive deviational variables. The study suggests that by using sensitivity analysis, the company can increase costs by 2.14% to minimize production costs in the following year, but this could result in a 4.37% reduction in revenues. Overall, the goal-programming model demonstrates the potential for the refrigeration and air conditioning industry in Saudi Arabia to achieve its goals for cost optimization, sales revenue maximization, and resource utilization.
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