SOLVING SUPPLY CHAIN SCHEDULING PROBLEM USING FERMATEAN FUZZY NUMBERS
By
Pratibha and Rajesh Dangwal
Department of Mathematics, H. N. B. Garhwal University, BGR Campus, Pauri Garhwal, Uttarakhand, India-246001
Email: pratibhakd2706@gmail.com, dangwalrajeshhnbgu@gmail.com
(Received: October 04, 2023; In format: April 10, 2024; Revised: May 19, 2024; Accepted: October 04, 2024)
DOI: https://doi.org/10.58250/jnanabha.2024.54207
Abstract
In both supply chain management and production system, scheduling is an essential issue. Many real-time scheduling problems are both imprecise and uncertain in nature. In this research paper, we pursue an easy and simple approach under fuzzy environment for supply chain job scheduling problem in which processing time of jobs (production orders) are shown as Fermatean fuzzy numbers and to minimize total execution time of jobs. A numerical illustration is given for comparative analysis with existing paper with suitable table.
2020 Mathematical Sciences Classification: 90B06, 90B35, 90B36, 90C70
Keywords: Job scheduling problem, Fuzzy Numbers, Fermatean fuzzy number, Ranking Problem, Score Function.