LAPSE:2023.21769
Published Article

LAPSE:2023.21769
Optimal Inventory Control Strategies for Deteriorating Items with a General Time-Varying Demand under Carbon Emission Regulations
March 23, 2023
Abstract
Climate warming nowadays has caused people to increasingly enhance public awareness about carbon emissions from industries. In the storing industry, inventory management for deteriorating items is crucial in the business competition. To slow down the deterioration and ensure the quality of products, the items are usually stored in certain temperature-controlled environment. However, a lot of carbon emissions of the inventory system are caused by these warehousing activities. In a finite panning period, this paper studies a continuous review inventory system and proposes inventory models to analyze the impacts of carbon emissions on inventory system for deteriorating items with a general time-varying demand, in which shortages are allowed, and the customer demand during shortage period is partially backlogged till the next replenishment. Under carbon emission regulations, the existence and uniqueness of the optimal solution to each model is explored and comparisons of optimality among the proposed models are given. Numerical examples and robust analysis of the models are presented to illustrate the applicability in practice. Some management insights about inventory policies and emission reduction strategies are obtained.
Climate warming nowadays has caused people to increasingly enhance public awareness about carbon emissions from industries. In the storing industry, inventory management for deteriorating items is crucial in the business competition. To slow down the deterioration and ensure the quality of products, the items are usually stored in certain temperature-controlled environment. However, a lot of carbon emissions of the inventory system are caused by these warehousing activities. In a finite panning period, this paper studies a continuous review inventory system and proposes inventory models to analyze the impacts of carbon emissions on inventory system for deteriorating items with a general time-varying demand, in which shortages are allowed, and the customer demand during shortage period is partially backlogged till the next replenishment. Under carbon emission regulations, the existence and uniqueness of the optimal solution to each model is explored and comparisons of optimality among the proposed models are given. Numerical examples and robust analysis of the models are presented to illustrate the applicability in practice. Some management insights about inventory policies and emission reduction strategies are obtained.
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Keywords
carbon emission regulations, deterioration, emissions reduction, inventory control, partial backlogging, time-varying demand
Subject
Suggested Citation
Xu C, Liu X, Wu C, Yuan B. Optimal Inventory Control Strategies for Deteriorating Items with a General Time-Varying Demand under Carbon Emission Regulations. (2023). LAPSE:2023.21769
Author Affiliations
Xu C: Department of Mathematics, College of Science, Tianjin University of Technology, Tianjin 300384, China [ORCID]
Liu X: Center for Management Innovation and Evaluation, Tianjin University of Commerce, Tianjin 300134, China
Wu C: Department of Mathematics, College of Science, Tianjin University of Technology, Tianjin 300384, China
Yuan B: Research Center of Energy Economy, School of Business Administration, Henan Polytechnic University, Jiaozuo 454000, China
Liu X: Center for Management Innovation and Evaluation, Tianjin University of Commerce, Tianjin 300134, China
Wu C: Department of Mathematics, College of Science, Tianjin University of Technology, Tianjin 300384, China
Yuan B: Research Center of Energy Economy, School of Business Administration, Henan Polytechnic University, Jiaozuo 454000, China
Journal Name
Energies
Volume
13
Issue
4
Article Number
E999
Year
2020
Publication Date
2020-02-23
ISSN
1996-1073
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Original Submission
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PII: en13040999, Publication Type: Journal Article
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LAPSE:2023.21769
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https://doi.org/10.3390/en13040999
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Mar 23, 2023
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