Production–Inventory Decisions Under a Carbon Cap-and-Tax Policy with Stock-Dependent Demand in an Autonomation-Based Inspection Setting: A Fixed-Point and Karush–Kuhn–Tucker Analysis

Background: Automation-based inspection removes classification errors from imperfect production, but production inventory models built on it rarely account for carbon regulation or for the effect of displayed stock on demand. Methods: This paper extends an automation-based economic production quantity model with price–quality and service-sensitive demand in two directions: a five-source carbon-emission function regulated by a carbon cap-and-tax policy and a stock-dependent demand. Results: In the numerical study, price settles at the market ceiling, quality at the minimum acceptable level and the rework rate at one; these corner solutions are explained analytically. Relative to a demand, emission-blind baseline, the carbon tax alone lowers profit by 2.01%, stock-dependent demand alone raises it by 7.16%, and the integrated model raises it by 5.03%; because the cycle-average stock approximation overstates the stock effect, this gain falls to 2.33%. Emissions respond weakly to taxes, while a binding cap drives abatement through lower service levels and reduced rework. Conclusions: For the manufacturer, the carbon tax acts as a levy on an almost unchanged operating plan, whereas the cap is the instrument that forces abatement.

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Publication Details

Journal
Logistics
Published
2026-10-14
DOI
https://doi.org/10.3390/logistics10100244
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Production–Inventory Decisions Under a Carbon Cap-and-Tax Policy with Stock-Dependent Demand in an Autonomation-Based Inspection Setting: A Fixed-Point and Karush–Kuhn–Tucker Analysis

Sankar Prasad Mondal, Mrudul Y. Jani, Alaa Fouad Momena, Amrita Bhadoriya
Logistics
Supply Chain and Inventory Management
article

Production–Inventory Decisions Under a Carbon Cap-and-Tax Policy with Stock-Dependent Demand in an Autonomation-Based Inspection Setting: A Fixed-Point and Karush–Kuhn–Tucker Analysis

Sankar Prasad Mondal, Mrudul Y. Jani, Alaa Fouad Momena, Amrita Bhadoriya
article en

Abstract

Background: Automation-based inspection removes classification errors from imperfect production, but production inventory models built on it rarely account for carbon regulation or for the effect of displayed stock on demand. Methods: This paper extends an automation-based economic production quantity model with price–quality and service-sensitive demand in two directions: a five-source carbon-emission function regulated by a carbon cap-and-tax policy and a stock-dependent demand. Results: In the numerical study, price settles at the market ceiling, quality at the minimum acceptable level and the rework rate at one; these corner solutions are explained analytically. Relative to a demand, emission-blind baseline, the carbon tax alone lowers profit by 2.01%, stock-dependent demand alone raises it by 7.16%, and the integrated model raises it by 5.03%; because the cycle-average stock approximation overstates the stock effect, this gain falls to 2.33%. Emissions respond weakly to taxes, while a binding cap drives abatement through lower service levels and reduced rework. Conclusions: For the manufacturer, the carbon tax acts as a levy on an almost unchanged operating plan, whereas the cap is the instrument that forces abatement.

LogisticsVol. 10(10)
Prince Sattam Bin Abdulaziz University (SA), Parul University (IN), Atal Bihari Vajpayee Indian Institute of Information Technology and Management (IN), Maulana Abul Kalam Azad University of Technology, West Bengal (IN)
Prince Sattam bin Abdulaziz University
Industry, innovation and infrastructure, Climate action
Openalex Percentile: Top 6%
Supply Chain and Inventory Management
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