Sustainable Supply Chain System for Defective Products with Different Carbon Emission Strategies

Abstract

Many nations have created ecological policies and regulations to prevent industries from emitting excessive amounts of carbon emissions into the environment. While significant progress has been achieved in the direction of sustainable growth, many nations still rely on nonrenewable energy sources. This study explores the viability of investing in green technology to achieve the optimal decisions (lot sizes, lead time, and green investment amount) in a two-echelon supply chain system by considering human error with two carbon emission strategies: carbon taxes and limited carbon emissions. It entails the inspection of every shipped lot by the buyer to identify defective products that could have resulted from the vendor’s production process. We show a constrained non-linear program and design a calculus-optimization technique to solve it. The methodology used in this research is the quantitative method, which is based on the principles of operations research, and the models are built on mathematically oriented inventory theory. The results imply that an outsized ecological carbon footprint can be reduced without compromising customer service by designing optimal inventory strategies. The findings also confirm that green investment is the greatest economical method for reducing carbon emissions and system costs.

ANFIS and metaheuristic optimization for green supply chain with inspection and rework

“…In a model of green production inventory, Ruidas et al (2022) evaluated the effects of combined investments in greening innovation and emission reduction technologies by considering the selling price dependent demand on the amount of greenness. Mala et al (2022) and Marchi & Zanoni (2023) worked on carbon taxes, cap and trade, and emission limit regulations while considering sustainability, green investment, and logistics. Abbasi & Ahmadi Choukolaei (2023) focused on different approaches and models to examine the impact of carbon laws on green SC network design (GSCND) after reviewing the literature from 2010 to 2023.…”

Spatiotemporal Heterogeneity of the Characteristics and Influencing Factors of Energy-Consumption-Related Carbon Emissions in Jiangsu Province Based on DMSP-OLS and NPP-VIIRS

“…In terms of regions, the south of Jiangsu has abundant technical resources and a flexible energy-consumption structure, but its carbon emissions mainly come from the consumption of living materials and energy generated by rapid development. Therefore, we should pay attention to the structural reform of energy consumption driven by economic development dividends and the technological spillover effect of high-level innovative talents; make full use of the dividends of economic development; promote the development of low-carbon technologies; promote the transformation of the energy-consumption structure; and encourage the technological spillover of highly skilled people, so as to accelerate the pace of carbon emissions peaking [24,43]. The industrial and energy structures of northern Jiangsu are relatively fixed, and the spillover effect of technology is not significant; the influence of the energy structure of this effect mainly comes from the consumption of productive energy.…”