Just–In–Time Supply Chain Management Using Interval Type–2 Fuzzy Decision Making

Runkler, Thomas A.; Chen, Chao; Coupland, Simon; John, Robert

Abstract

We propose the application of interval type-2 fuzzy decision making (IT2FDM) to dynamic scheduling of deliveries in a just-in-time logistic process. Delivery decisions are based on order priorities computed from the expected decrease of customer satisfaction for each order. We compare IT2FDM with first in first out (FIFO), earliest due date first (EDDF), and (type-1) fuzzy decision making (FDM). In a simulation of a real world process for a duration of 600 days IT2FDM in comparison with the three other methods yields the highest just-in-time delivery rate, the highest average customer satisfaction, and the highest percentage of very satisfied customers. The increasing percentage of very satisfied customers at the same time leads to a slightly increasing percentage of not satisfied customers, but the trade- off between these percentages can be balanced by an appropriate choice of the risk parameter.

Citation

Runkler, T. A., Chen, C., Coupland, S., & John, R. (2019, June). Just–In–Time Supply Chain Management Using Interval Type–2 Fuzzy Decision Making. Presented at 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), New Orleans, LA, USA

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
• Start Date: Jun 23, 2019
• End Date: Jun 26, 2019
• Online Publication Date: Oct 10, 2019
• Publication Date: 2019-12
• Deposit Date: Dec 2, 2021
• Publisher: Institute of Electrical and Electronics Engineers
• Book Title: 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
• ISBN: 9781538617298
• DOI: https://doi.org/10.1109/fuzz-ieee.2019.8858902
• Public URL: https://nottingham-repository.worktribe.com/output/6847328
• Publisher URL: https://ieeexplore.ieee.org/document/8858902