Inventory pricing model under different carbon emission policies

IF 1.8 4区 管理学 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
K. Su, Xiaohui Ren
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引用次数: 0

Abstract

Considering carbon emission in inventory management model is a hot topic in current academic circles. Studying inventory pricing can provide managers with better managerial insights. Economic order quantity model mainly solves the inventory management problem of demand determination. However, due to the complex market environment in real life, it is difficult to meet the conditions of constant demand. In addition, with the enhancement of low-carbon awareness of enterprises, the study of pricing model based on low-carbon policies has also attracted the attention of a large number of scholars. The robust optimization theory is applied, the inventory pricing model of demand fluctuation under carbon cap, carbon tax and carbon cap-and-trade policies is considered, the robust equivalence form of the problem is studied. The profit comparison under different policies is given. Numerical experiments show that the carbon cap-and-trade policy can better control the carbon emission of enterprises.
不同碳排放政策下的库存定价模型
考虑碳排放的库存管理模型是当前学术界研究的热点问题。研究库存定价可以为管理者提供更好的管理见解。经济订单数量模型主要解决需求确定的库存管理问题。然而,由于现实生活中复杂的市场环境,很难满足不断需求的条件。此外,随着企业低碳意识的增强,基于低碳政策的定价模型研究也引起了大量学者的关注。应用鲁棒优化理论,考虑了碳限额、碳税和碳限额与交易政策下需求波动的库存定价模型,研究了问题的鲁棒等价形式。给出了不同政策下的利润比较。数值实验表明,碳限额与交易政策能够更好地控制企业的碳排放。
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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来源期刊
Rairo-Operations Research
Rairo-Operations Research 管理科学-运筹学与管理科学
CiteScore
3.60
自引率
22.20%
发文量
206
审稿时长
>12 weeks
期刊介绍: RAIRO-Operations Research is an international journal devoted to high-level pure and applied research on all aspects of operations research. All papers published in RAIRO-Operations Research are critically refereed according to international standards. Any paper will either be accepted (possibly with minor revisions) either submitted to another evaluation (after a major revision) or rejected. Every effort will be made by the Editorial Board to ensure a first answer concerning a submitted paper within three months, and a final decision in a period of time not exceeding six months.
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