考虑重新启动生产时间的供应商管理库存系统的碳排放效应

IF 3.6 Q2 MANAGEMENT
Adel A. Alamri
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引用次数: 0

摘要

背景:供应商管理库存(VMI)模型的经典数学公式假设了无限规划视界,因此,推导出的解忽略了第一个周期的影响。经典公式与另一个隐含的假设有关,即输入参数无限期地保持静态。方法:建立了联合经济批量政策的VMI数学模型。每个模型都考虑了绿色生产的投资,储存物品所使用的能源,以及在碳限额与交易政策下生产、储存和运输活动的碳排放。第一个模型是第一个周期的基础,而第二个模型是后续周期的基础。结果:后续周期的重新启动生产时间仅在生产和补充第一批所需的时间开始,这意味着进一步降低成本。数学公式被认为对学者和实践者都很重要。例如,与现有文献支持的害虫情景相比,第一个周期(后续周期)的基本模型产生的最佳产量比总系统成本低18.42%(4.35%)。此外,随着生产率的提高,总系统成本降低的百分比也会增加。此外,所提出的模型不仅产生更好的结果,而且还提供了为后续周期调整输入参数的机会,其中每个周期都独立于前一个周期。结论:系统产生的排放与绿色生产的需求率和投资金额密切相关。给出了说明性示例、特殊案例、模型概述和管理见解。本文还讨论了模型的贡献、结束语和进一步的研究。提出的模型对现有文献采用的基础模型进行了修正,该模型可以进一步扩展,在与JELS库存数学建模相关的几个有趣的进一步查询中实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Carbon Emissions Effect on Vendor-Managed Inventory System Considering Displaced Re-Start-Up Production Time
Background: The classical mathematical formulation of the vendor-managed inventory (VMI) model assumes an infinite planning horizon, and consequently, the solution derived ignored the impact of the first cycle. The classical formulation is associated with another implicit assumption that input parameters remain static indefinitely. Methods: This paper develops two mathematical models for VMI for a joint economic lot-sizing (JELS) policy. Each model considers investment in green production, energy used for keeping items in storage, and carbon emissions from production, storage, and transportation activities under the carbon cap-and-trade policy. The first model underlies the first cycle, while the second underlies subsequent cycles. Results: The re-start-up production time for subsequent cycles commences only at the time required to produce and replenish the first lot, which implies further cost reduction. Mathematical formulations are perceived as important both for academics and practitioners. For example, the base model of the first cycle (subsequent cycles) generates an optimal produced quantity with 18.42% (4.35%) less total system cost when compared with the pest scenario in favor of the existing literature. Moreover, such a percentage of total system cost reduction increases as the production rate increases. Further, the proposed models not only produce better results but also offer the opportunity to adjust the input parameters for subsequent cycles, where each cycle is independent from the previous one. Conclusions: The emissions generated by the system are very much related to the demand rate and the amount of investment in green production. Illustrative examples, special cases, model overview, and managerial insights are given. The discussion related to the contribution of the proposed model, the concluding remarks, and further research are also provided. The proposed model rectifies the base model adopted by the existing literature, which can be further extended to be implemented in several interesting further inquiries related to JELS inventory mathematical modeling.
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来源期刊
Logistics-Basel
Logistics-Basel Multiple-
CiteScore
6.60
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