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Stochastic Lot-Sizing under Carbon Emission Control for Profit Optimisation in MTO Manufacturing

机译:MTO制造业利润优化碳排放控制下的随机批判

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Aggravating global warming has heightened the imminent need by the world to step up forceful efforts on curbing emission of greenhouse gases. Although manufacturing is a major resource of carbon emission, few research works have studied the impacts of carbon constraints on manufacturing, leading to environmentally unsustainable production strategies and operations. This paper incorporates carbon emission management into production planning for make-to-order (MTO) manufacturing. This paper proposes a model that solves lot-sizing problems to maximise profits under carbon emission caps. The model adopts stochastic interarrival times for customer orders to enhance the practicality of the results for real-world manufacturing. Numerical experiments show that reducing carbon emission undercuts short-term profits of a company. However, it is conducive to the company’s market image as being socially responsible which would attract more customers who concern about environmental protection. Hence, reducing carbon emission in manufacturing is beneficial to long-term profitability and sustainability. The results provide managerial insights into manufacture operations for balancing profitability and carbon control.
机译:加剧全球变暖已经提高了世界迫在眉睫的需求,以加强对遏制温室气体排放的强力努力。虽然制造业是碳排放的主要资源,但很少有研究作品已经研究了碳限制对制造业的影响,导致环境不可持续的生产战略和运营。本文将碳排放管理纳入生产规划,以便进行按订单(MTO)制造。本文提出了一种模型,解决了批准问题,以最大化碳排放盖下的利润。该型号采用随机的交通阶段,供客户订单增强现实世界制造业结果的实用性。数值实验表明,减少碳排放削弱了公司的短期利润。但是,它有利于该公司的市场形象作为社会负责,这将吸引更多关注环境保护的客户。因此,减少制造中的碳排放有利于长期盈利能力和可持续性。结果为制造业务提供了管理洞察,以平衡盈利能力和碳控制。

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