PRESERVATION-BASED INVENTORY MODEL WITH THE EFFECT OF LEARNING UNDER THE CONDITIONS OF CARBON EMISSIONS

Autor:	Masood Alam, Santosh Kumar, Khursheed Alam, Özen Özer, Naeem Ahmad
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	learning effects carbon emissions perishable items optimization preservation technology Engineering (General). Civil engineering (General) TA1-2040
Zdroj:	Proceedings on Engineering Sciences, Vol 6, Iss 2, Pp 845-852 (2024)
Druh dokumentu:	article
ISSN:	2620-2832 2683-4111
DOI:	10.24874/PES06.02A.011
Popis:	The present chapter developed a preservation-based inventory model under the condition of carbon emissions and the effect of learning on perishable goods. Carbon emissions exit from many sources and affect the greening level of the environment. It is considered that carbon emissions exit due to electricity and also for many more reasons. Finally, total inventory cost will be minimized concerning the cycle length. For the validation of this model, a numerical example has been given and briefly justified with the help of sensitivity analysis. The effect of inventory parameters has shown separately in the sensitivity section.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/fdf8de94ad88482697562682b7a770f8 Zobrazit plný text záznamu View record in DOAJ