2025/12/15
Hiwa Farughi

Hiwa Farughi

Academic rank: Professor
ORCID: 0000-0001-9745-9691
Education: PhD.
H-Index:
Faculty: Faculty of Engineering
ScholarId:
E-mail: h.farughi [at] uok.ac.ir
ScopusId: View
Phone: 08733660073
ResearchGate:

Research

Title
Development of a simulation-based optimization approach to integrate condition-based maintenance, production control and control chart design in deteriorating production processes
Type
JournalPaper
Keywords
Control chart, Genetic algorithm, Imperfect manufacturing system, Monte Carlo simulation, Preventive maintenance.
Year
2023
Journal Journal of Quality Engineering and Production Optimization
DOI
Researchers Seyed Mohammad Hadian ، Hiwa Farughi ، Hasan Rasay ، Hadi Talebi Ghadikolaei

Abstract

A statistical model is proposed to schedule maintenance actions, control the inventory, and design a proper control chart in unreliable manufacturing systems. Process deterioration can lead to quality degradation and affect maintenance scheduling and production control. Integrated control of three aspects can enhance the productivity of production processes. A deteriorating manufacturing system is considered that has two states of in-control and out-of-control. Quality control of the products and process monitoring are implemented by employing a control chart. Maintenance actions are scheduled based on the machine’s condition. The duration of maintenance is considered a continuous random variable that follows a general distribution. The purpose is to schedule the maintenance tasks and control the safety stock with respect to the data collected from the control chart related to the machine condition to minimize the total cost per time unit. A Genetic algorithm (GA) is used as a solution method. Then, to reduce