With continuously evolving and unpredictable markets, manufacturing firms are sorting to different interventions so that an optimal utilization of resources can be attained. One factor with forever focus of production managers is the demand variation. The efficient models can no longer rely on a constant production rate and non-agile systems. Thus, the objective of the presented model is to provide an optimum production schedule for a deteriorating item. The production rate is variable and the production process is unreliable. Keeping in mind the value of customer satisfaction in long run, produced units are screened to segregate items which do not conform to required quality standards. Realistically, unit production cost is assumed to be a function of production rate. Further, due to increased environmental concerns and government regulations, the manufacturer takes into account the effect of carbon emissions. An algorithm has been developed to provide the optimum values of production rate, selling price and non-production cycle duration. The presented model has been supported with numerical and sensitivity analyses.

随着市场的不断发展和不可预测，制造企业正在选择不同的干预措施，以便实现资源的最佳利用。生产经理永远关注的一个因素是需求变化。高效的模型不再依赖于恒定的生产率和非敏捷的系统。因此，所提出模型的目标是为恶化的项目提供最佳生产计划。生产率是可变的，生产过程是不可靠的。从长远来看，牢记客户满意度的价值，对生产的单位进行筛选，以隔离不符合所需质量标准的项目。实际上，单位生产成本被假定为生产率的函数。此外，由于环境问题和政府法规的增加，制造商考虑了碳排放的影响。已经开发出一种算法来提供生产率、销售价格和非生产周期持续时间的最佳值。所提出的模型得到了数值和敏感性分析的支持。