A Matheuristic for the Generalized Order Acceptance and Scheduling Problem*

Firms operating on a make-to-order basis may not satisfy the entire demand due to limited capacity and tight delivery times. This necessitates selecting only part of customer orders to maximize the total revenue, which gives rise to the order acceptance and scheduling (OAS) problems. In this study, we investigate a generalized version of the OAS (GOAS) problem originating from a real-life setting. Due to several components of the problem, such as release times, due dates, deadlines and sequence dependent setup times, finding an exact solution to GOAS problem, that determines which orders to accept and how to schedule them simultaneously to maximize the revenue, in reasonable time even in a single machine environment is difficult. Hence, we develop an effective and efficient matheuristic, which consists of a time-bucket based mixed integer linear programming model, a variable neighborhood search algorithm and a tabu search algorithm, for the GOAS problem. Computational results show that the proposed matheuristic outperforms the state-of-the-art algorithms developed for the GOAS problem. The boundary of optimally solved instance size is pushed further and near optimal solutions are obtained in reasonable time for instances falling beyond this boundary.

Short Bio

Ceyda Oğuz is a Professor of Industrial Engineering in the College of Engineering at Koç University. Before joining Koç University, she served as a faculty member in the School of Business at The Hong Kong Polytechnic University, Hong Kong, from 1993 to 2004. Prof. Oğuz's research primarily focuses on logistics and scheduling in manufacturing and computer systems, with a particular emphasis on sustainability. Her expertise encompasses algorithm design, system modeling, and providing optimized and/or approximate solutions to complex systems through computational methods. She has participated in various research projects funded by TUBITAK and jointly by the Hong Kong and European governments within these fields. She has published in refereed journals such as Operations Research, Journal of Scheduling, Computers and Operations Research, and European Journal of Operational Research.

Venue

Middle East Technical University

Department of Industrial Engineering Seminar

Friday, April 26, 2024, 4:00 pm

IE03 Halim Doğrusöz Auditorium

*Joint work with Dr. İstenç Tarhan