限额与交易政策下价格依赖需求的可持续库存模型

IF 3.6 1区数学 Q1 MATHEMATICS, APPLIED

Mathematical Models & Methods in Applied Sciences Pub Date : 2023-01-01 DOI:10.12988/ams.2023.917389

Anamika Sharma, Geetanjali Sharma

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引用次数: 0

摘要

通过提供明确可衡量的目标和实现这一目标的灵活的、基于市场的机制，限额与交易可以有效地减少排放和促进可持续性。在本文中，需求依赖于销售价格。通货膨胀的影响也被考虑在内。我们开发了一个可持续的库存模型，采用限额与交易政策。该模型旨在为零售商找到平衡经济可持续性和环境责任的最佳库存水平。通过考虑碳排放成本和库存水平对公司的财务影响，该模型帮助管理者做出明智的库存控制决策，以支持经济和环境目标。利用Mathematica 12.0软件进行了数值说明。进行灵敏度分析，观察不同参数对最优解的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Sustainable inventory model with price dependent demand under cap-and-trade policy

Cap and trade can be effective in reducing emissions and promoting sustainability by providing a clear measurable target and a flexible, market-based mechanism for achieving that target. In this paper, demand is taken as selling price dependent. The effect of inflation is also taken into consideration. We developed a sustainable inventory model with a cap-and-trade policy. The model aims to find the optimal inventory level for a retailer that balances economic sustainability and environmental responsibilities. By considering the cost of carbon emissions and the financial impact of inventory levels on the company, the model helps managers make informed decisions about inventory control that support both economic and environmental goals. The numerical illustration is carried out by using the software Mathematica 12.0. Sensitivity analysis is carried out to see the behavior of different parameters on an optimal solution.

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来源期刊

Mathematical Models & Methods in Applied Sciences 数学-应用数学

CiteScore

6.30

自引率

17.10%

发文量

审稿时长

1 months

期刊介绍： The purpose of this journal is to provide a medium of exchange for scientists engaged in applied sciences (physics, mathematical physics, natural, and technological sciences) where there exists a non-trivial interplay between mathematics, mathematical modelling of real systems and mathematical and computer methods oriented towards the qualitative and quantitative analysis of real physical systems. The principal areas of interest of this journal are the following: 1.Mathematical modelling of systems in applied sciences; 2.Mathematical methods for the qualitative and quantitative analysis of models of mathematical physics and technological sciences; 3.Numerical and computer treatment of mathematical models or real systems. Special attention will be paid to the analysis of nonlinearities and stochastic aspects. Within the above limitation, scientists in all fields which employ mathematics are encouraged to submit research and review papers to the journal. Both theoretical and applied papers will be considered for publication. High quality, novelty of the content and potential for the applications to modern problems in applied sciences and technology will be the guidelines for the selection of papers to be published in the journal. This journal publishes only articles with original and innovative contents. Book reviews, announcements and tutorial articles will be featured occasionally.