Harvest scheduling to reduce waste in agri-fresh produce supply chains: an artificial immune system-based solution approach Online publication date: Wed, 14-Jan-2015
by Manish Shukla; Sanjay Jharkharia
International Journal of Planning and Scheduling (IJPS), Vol. 2, No. 1, 2014
Abstract: This paper presents a mathematical model to maximise the overall profit by reducing the waste of agri-fresh produce. This is achieved by synchronising demand with supply through an optimal harvest schedule. The proposed model is complex in nature, and obtaining an optimal solution in practical time limits is extremely difficult. Therefore, we applied a meta-heuristics, artificial immune system (AIS) to obtain (near) optimal solutions. The proposed model was tested on a dataset generated from real-life scenario of Azadpur wholesale market, New Delhi (India). The result shows that the proposed model, when solved with AIS, provides better results as compared to the base policy, which assumes the plantations are harvested as soon as they attain maturity. Performance of the applied algorithm, AIS, is tested by comparing the results obtained by solving the same problem instances with other established algorithms such as simulated annealing (SA) and genetic algorithm (GA).
Online publication date: Wed, 14-Jan-2015
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Planning and Scheduling (IJPS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org