Multi-Objective Preventive Maintenance and Replacement Scheduling in a Manufacturing System using Goal Programming

Kamran Moghaddam

Clayton State University

Dr. Kamran Moghaddam is an Associate Professor of Supply Chain Management in the College of Business at Clayton State University. He received his BS in Applied Mathematics from the University of Tehran, MS in Industrial Engineering from Amirkabir University of Technology and his PhD in Industrial Engineering from the University of Louisville. Over the past 14 years, Dr. Moghaddam has been active in the field of industrial engineering and operations management in academic and industry environments. He has conducted or been involved in variety of projects such as multi-reservoir systems operations management, transportation and logistics systems design and improvement, optimal maintenance scheduling in manufacturing systems, development of a decision support system for healthcare and public health protection, and reverse logistics systems design and evaluation.Dr. Moghaddam is a licensed Professional Engineer (PE) and a Certified Quality Engineer (CQE) by American Society for Quality. EDUCATIONPh.D., Industrial Engineering, University of Louisville, May 2010M.S., Industrial Engineering, Amirkabir University of Technology, Dec 2003B.S., Applied Mathematics, University of Tehran, May 2001 PROFESSIONAL REGISTRATIONSLicensed Professional Engineer (PE), Jun 2013    Kentucky State Board of Engineers and Land Surveyors (License No. 29478)Certified Quality Engineer (CQE), Dec 2010    American Society for Quality (ASQ) (Certification No. 56715) RESEARCH INTERESTSSupply Chain Management and LogisticsProduction and Operations ManagementApplied Operations ResearchBusiness Analytics TEACHING INTERESTSSupply Chain Management and LogisticsProduction and Operations ManagementBusiness Statistical Modeling and AnalysisDeterministic/Stochastic Operations ResearchSystems Modeling and Simulation

Abstract

This research presents a new multi-objective nonlinear mixed-integer optimization model to determine Pareto-optimal preventive maintenance and replacement schedules for a repairable multi-workstation manufacturing system with... [ view full abstract ]

Authors

Kamran Moghaddam (Clayton State University)

Topic Area

Topics: Supply Chain Management, Logistics, POM, & TQM

Session

SC2 » Goal Programming/Heuristic Solution Improvement/Kernel Search Algorithm (15:00 - Thursday, 23rd February, Ashley)

Paper

Abstract-SEDSI_2017.pdf

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