Non-instantaneous deteriorating inventory optimization in green supply chain for environment savvy customer with learning effect

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Authors :

Smita Rani1*, Rashid Ali2 and Anchal Agarwal3

Author Address :

1Department of Applied Sciences, Dr. A.P.J. Abdul Kalam Technical University, IET Campus, Lucknow-226021, India.
2Department of Applied Sciences, Krishna Engineering College, Ghaziabad-201007, India.
3Department of Applied Sciences, Banasthali University, Banasthali-304022, Rajasthan, India.

*Corresponding author.

Abstract :

In this paper, we establish a single item inventory model for deteriorating items in a Green Supply Chain under learning effect. We consider a single manufacturer and single retailer model having one manufacturing cycle followed by multiple retailer cycle. Customer is environment savvy and prefers products with low carbon emission. It is considered that product maintains its value for a period of time before there is a loss of value. Thus the deterioration is assumed to be non-instantaneous. This is a more optimal modeling as it allows retailer to utilize full profit on the product selling before it starts offering discounts. It is assumed that the used products as well as unsold products are transferred back to the manufacturer where they are recycled and remanufactured. Learning is taken into account in estimating the total average cost. Learning is a natural phenomenon that occurs everywhere. Naturally, a person doing task repetitively will perform better over period of time. This leads to reduction in various costs. Numerical analysis is carried out at the end to validate model.

Keywords :

Green Supply Chain, Non-instantaneous deterioration, Learning Effect, Remanufacturing, Carbon concerned demand.

DOI :

10.26637/MJM0S01/13

Article Info :

Received : December 24, 2017; Accepted : January 21, 2018.

 

 

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