Sustainability inventory management model with warm-up process and shortage

IF 3.7 4区 管理学 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Operations Research Perspectives Pub Date : 2024-02-08 DOI:10.1016/j.orp.2024.100297
Erfan Nobil , Leopoldo Eduardo Cárdenas-Barrón , Dagoberto Garza-Núñez , Gerardo Treviño-Garza , Armando Céspedes-Mota , Imelda de Jesús Loera-Hernández , Neale R. Smith , Amir Hossein Nobil
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Abstract

Fast-paced markets require complex interactions from all supply-chain agents to satisfy customer demands and needs. The manufacturing industries face some difficulties in terms of production amounts and smooth delivery rates. Technical experts found that a warm-up period before a production run helps address those challenges and improves the workability of machine tools in the manufacturing process. The use of a warm-up process causes a reduction of faulty products (an adverse production outcome) and improves operational efficiency. Also, a shortage in the supply of commodities creates difficult conditions for inventory management decisions, posing the same production problems as mentioned above. Consideration of the warm-up process has recently been included in the scope of operations research, but it is necessary to study its interaction with the presence of shortage. This study presents a system where a manufacturing environment utilizes the warm-up process in its initial phase and shortages are allowed during the production period, in addition, the study takes into account carbon emissions during manufacturing to integrate environmental concerns. We assume that the company has the capability to trade the surplus carbon capacity it hasn't produced. This study offers a comprehensive framework that incorporates former research that addresses warm-up process, carbon emissions, shortages, and defective items. To solve the proposed non-linear programming problem with inequality constraints, we employ the Karush-Kuhn-Tucker (KKT) conditions method to determine the optimal solutions. Managerial insights are derived, and sensitivity analysis highlights the effects of the system parameters on the decision variables. The sensitivity analysis results indicate that the carbon trading cost has a significant impact on the overall cost, and subsequently, the company's profit.

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带有预热过程和短缺的可持续性库存管理模型
快节奏的市场要求所有供应链代理进行复杂的互动,以满足客户的需求。制造业在生产量和平稳交付率方面面临一些困难。技术专家发现,生产运行前的预热期有助于解决这些难题,并提高机床在制造过程中的工作性能。使用预热过程可以减少次品(一种不利的生产结果),提高运行效率。此外,商品供应短缺也会给库存管理决策带来困难,造成上述同样的生产问题。对预热过程的考虑最近已被纳入运筹学研究范围,但有必要研究其与短缺的相互作用。本研究提出了一个系统,在该系统中,生产环境在初始阶段利用了预热过程,并允许在生产期间出现短缺,此外,本研究还考虑了生产过程中的碳排放,以整合环境问题。我们假设公司有能力交易未生产的剩余碳容量。本研究提供了一个综合框架,其中包含了之前针对预热过程、碳排放、短缺和次品等问题的研究。为了解决所提出的带有不等式约束的非线性编程问题,我们采用了卡鲁什-库恩-塔克(KKT)条件法来确定最优解。我们得出了管理启示,并通过敏感性分析强调了系统参数对决策变量的影响。敏感性分析结果表明,碳交易成本对总体成本有重大影响,进而影响公司利润。
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来源期刊
Operations Research Perspectives
Operations Research Perspectives Mathematics-Statistics and Probability
CiteScore
6.40
自引率
0.00%
发文量
36
审稿时长
27 days
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