Department of Mathematics, National Institute of Technology Puducherry, Karaikal, 609609, India.
Department of Mathematics, Arignar Anna Government Arts and Science College, Karaikal, Puducherry, 609605, India.
Environ Sci Pollut Res Int. 2023 Aug;30(38):89197-89237. doi: 10.1007/s11356-023-27724-5. Epub 2023 Jul 14.
Noxious effect on environmental due to carbon emissions is being addressed worldwide by governments through carbon pricing instruments. Two of prevalent instruments adopted by governments are simple carbon tax and cap-and-trade policy. Effectiveness of carbon pricing instruments towards achieving reduction in carbon emissions is a matter of study on one hand. Whereas, the planning of supply chain operations under imposition of such financial instruments is a challenge for small and medium scale business enterprises. Addressing this situation, the present study develops a supply chain model for coordinated planning of production and inventory replenishment schedules along with decision on economic amounts of expenditure for green resources. This decision model is formulated separately under the enforcement of each of two carbon pricing policies. The study focuses a manufacturer-retailer duo which works by adopting certain sustainability and conservation practices. Manufacturer reworks on rectifiable proportion of defective units, while retailer launches discounts-based sales of partially damaged units. The decision-making model developed in this study incorporates such activities. Furthermore, practical aspects like a slowdown in production due to unforeseeable disruptions and the effect of the quality of product and advertisement campaigns on demand rates are included in the proposed model. Under the purview of each carbon pricing policy, decision-making model is formulated as a nonlinear constrained optimization problem with objective towards profit maximization. A novel conception of fuzziness has been suggested for tackling imprecision in the assessment of certain parameters involved in the model. A numerical study on an appropriate case of a manufacturer-retailer duo system is presented. Empirical results of numerical study evince that a substantial reduction in carbon emission is achieved, even with an escalation in the profit through appropriate green expenditure. This trend is observed under the imposition of each of the carbon pricing policies, thereby substantiating an encouragement to supply chain partners for making expenditures on green resources. Thereby, the hypothesis of getting desired response on curbing emissions by incentivization through carbon pricing is satisfied in the studied case. Furthermore, a sensitivity analysis concludes the stability of formulated model against most of the parameters involved.
由于碳排放对环境造成的有害影响,各国政府都在通过碳定价工具来解决这个问题。政府采用的两种流行工具是简单的碳税和总量管制与交易政策。碳定价工具在实现减排方面的有效性是一方面的研究课题。然而,在实施这些金融工具的情况下,规划供应链运营对中小企业来说是一个挑战。针对这种情况,本研究提出了一个供应链模型,用于协调生产和库存补充计划的规划,并就绿色资源的经济支出数额做出决策。该决策模型是在两种碳定价政策的执行下分别制定的。本研究重点关注制造商-零售商的合作,他们通过采用某些可持续性和保护实践来运作。制造商对可修复比例的缺陷单位进行返工,而零售商则推出基于折扣的部分损坏单位销售。本研究中开发的决策模型包含了这些活动。此外,还包括了生产因不可预见的中断而放缓以及产品质量和广告活动对需求率的影响等实际方面。在每种碳定价政策的范围内,决策模型被制定为一个以利润最大化为目标的非线性约束优化问题。针对模型中涉及的某些参数的评估不精确性,提出了一种新的模糊概念。针对制造商-零售商合作系统的适当案例进行了数值研究。数值研究的实证结果表明,即使通过适当的绿色支出提高利润,也能实现碳排放量的大幅减少。这种趋势在实施每种碳定价政策的情况下都观察到,从而为供应链合作伙伴提供了鼓励,促使他们在绿色资源上进行支出。因此,在研究案例中,通过碳定价激励来遏制排放的期望反应的假设得到了满足。此外,敏感性分析得出了模型对所涉及的大多数参数具有稳定性的结论。