A production supply chain inventory model with queuing application and carbon emissions under learning effect

被引：3

作者：

Pandey, Jai Deep ^{[1
]}

Sharma, Geetanjali ^{[1
]}

机构：

[1] Banasthali Vidyapith, Dept Math & Stat, Jaipur 304022, Rajasthan, India

来源：

OPSEARCH | 2024年 / 61卷 / 02期

关键词：

Stochastic demand; Queuing applications; Learning effect; Supply chain management; Carbon emissions; SYSTEM;

D O I：

10.1007/s12597-023-00710-8

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

Nowadays, a popular term related to production inventory optimization for the greening effect and other policies is carbon emissions tax. Present paper deals with the application of queuing in supply chain management where demand is stochastic and involves carbon emissions and the learning effect. In the final, we have minimized the total inventory cost under queuing application for the supply chain management, where the learning effect follows simultaneous ordering cost, while demand is probabilistic. Numerical examples have been verified for the model, and sensitivity analysis of inventory parameters has been taken for good utilizations in various industrial scenarios.

引用

页码：548 / 569

页数：22

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