A Carbon-Tax-Based Dual-Warehouse Inventory Model with Deterioration and Investment in Preservation Technology
炭素税に基づく二重倉庫在庫モデル：劣化と保存技術投資を考慮して (AI 翻訳)
Amrita Bhadoriya, Manish R. Betheja, Mrudul Y. Jani, Vivek Panwar, Vishal Pradhan
🤖 gxceed AI 要約
日本語
本論文は、炭素税規制下での二重倉庫システムにおける劣化製品の在庫モデルを開発した。保存技術投資と炭素税のトレードオフを分析し、最適な補充周期、保存投資、発注量を決定する。数値解析により、平均最適サイクルタイム約0.57年、保存投資約1.32ドル、発注量約459単位、平均総費用約1056ドルが得られた。有機乳製品などの生鮮品サプライチェーンに応用可能。
English
This paper develops an inventory model for deteriorating products in a dual-warehouse system under carbon tax regulation. It integrates preservation technology investment, trade credit, and carbon cost, finding optimal order quantity and replenishment cycle. Numerical results show average cycle time 0.57 years, preservation investment $1.32, order quantity 459 units, and total cost $1056. Applicable to perishable goods supply chains.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では炭素税が導入されているが、本モデルは保存技術投資と炭素税の関係を定量化しており、生鮮品を取り扱う企業の在庫・コスト管理に示唆を与える。日本の中小企業にも応用可能な枠組み。
In the global GX context
Globally, carbon tax is a key policy tool. This model quantifies trade-offs between preservation investment and carbon cost in inventory decisions, offering insights for supply chain sustainability. It extends traditional inventory theory by integrating environmental costs.
👥 読者別の含意
🔬研究者:Provides a mathematical model combining carbon tax, deterioration, and preservation investment, useful for extending inventory theory with sustainability constraints.
🏢実務担当者:Helps supply chain managers of perishable goods assess optimal preservation investment and order quantities under carbon pricing.
🏛政策担当者:Shows how carbon tax influences inventory costs and operational decisions, informing carbon pricing design for supply chains.
📄 Abstract（原文）
This study develops an inventory model for deteriorating products within a dual-warehouse system under carbon tax regulation. The framework is motivated by supply chains for perishable goods where storage constraints, product deterioration, environmental costs, and financing decisions arise simultaneously. The model considers an owned warehouse and a rented warehouse with higher holding cost, where the rented facility is utilized first. To capture realistic operational conditions, the model integrates time-dependent holding costs, trend-based demand, preservation technology investment to reduce deterioration, and a two-tier trade credit scheme. Carbon tax is incorporated as an environmental cost component, while preservation technology directly influences the deterioration rate, creating a trade-off between investment and waste reduction. The proposed model is examined through numerical analysis based on parameter settings representative of perishable products such as organic dairy items. The objective is to determine the optimal replenishment cycle time, preservation investment, and order quantity that minimize the total cost within the dual-warehouse system. Numerical results indicate an average optimal cycle time of approximately 0.57 years, preservation investment of about 1.32 dollars, and order quantity near 459 units. The average total cost is around 1056 dollars, with a minimum observed cost of approximately 964 dollars. The findings highlight the significant impact of preservation technology and carbon taxation on profitability and sustainability.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.3390/modelling7030112first seen 2026-06-16 05:39:39
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