Open AccessAnalysis of Roller in V-Belt Base Cutting for Material Optimization
Author(s) -
Mr. Kshitij Umbarkar
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41439
Subject(s) - computer science , scheduling (production processes) , mathematical optimization , operations research , certainty , production (economics) , job shop scheduling , industrial engineering , engineering , mathematics , schedule , geometry , economics , macroeconomics , operating system
Along with the fourth industrial revolution different tools coming from optimization are creating new opportunities in production management. While manufacturing processes are stochastic and rescheduling decisions need to be made under certainty, it is complicated task to decide whether rescheduling is worthwhile, which is often addressed in practice on a greedy basis. To find a trade-off between rescheduling frequency and the growing accumulation of delays, we propose a rescheduling framework, which integrates optimization algorithms. To prove the effectiveness, we first model work scheduling problem with dependent setup and limited resources inspired by an industrial application. Then we solve the scheduling problem through a hybrid approach and train the model for rescheduling patterns. Finally, we compare its rescheduling performance with periodical approaches. Through observing the simultaneous results, we find the integration of these techniques can provide a good compromise between rescheduling frequency and delays. The main contribution of the work is the formalization of the problem, the development, solution methods and the optimization-based framework for supporting rescheduling decisions. Keywords: Optimization, Analysis, Production, Framework, Simulation.