Optimizing inventory level and technology investment under a carbon tax, cap-and-trade and strict carbon limit regulations

被引:91
|
作者
Hasan, Md Rakibul [1 ,2 ]
Roy, Tutul Chandra [1 ]
Daryanto, Yosef [3 ]
Wee, Hui-Ming [4 ]
机构
[1] Hajee Mohammad Danesh Sci & Technol Univ, Dept Math, Dinajpur 5200, Bangladesh
[2] Hamad Bin Khalifa Univ, Coll Sci & Engn, Div Engn Management & Decis Sci, Doha, Qatar
[3] Univ Atma Jaya Yogyakarta, Dept Ind Engn, Yogyakarta, Indonesia
[4] Chung Yuan Christian Univ, Dept Ind & Syst Engn, 200 Chung Pei Rd, Chungli 32023, Taiwan
关键词
Carbon regulations; Economic order quantity; Green technology investment; Promotion; LOT-SIZE MODEL; SUPPLY CHAIN; EMISSION-REDUCTION; EOQ MODELS; IMPERFECT; POLICIES;
D O I
10.1016/j.spc.2020.12.005
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study, three models are developed to optimize the inventory level and technology investment under a carbon tax, cap-and-trade, and strict carbon limit regulations. The study considers warehouse operations and transportation logistic systems as the sources of emissions. Several examples are presented, followed by sensitivity analysis for different scenarios. The result shows that under the carbon regulations, profit and carbon emission reduction is proportional to the green technology investment, while demand increase with the green technology promotion. Further analysis has shown that for the carbon tax system policy, the carbon price has influenced the total profit significantly. The decreasing emission level results in a higher profit, while the carbon cap and the carbon limit do not affect the total profit significantly. (C) 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:604 / 621
页数:18
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