| Issue |
RAIRO-Oper. Res.
Volume 60, Number 3, May-June 2026
|
|
|---|---|---|
| Page(s) | 1325 - 1355 | |
| DOI | https://doi.org/10.1051/ro/2026012 | |
| Published online | 20 May 2026 | |
A review paper on the economic lot scheduling problem with the common cycle approach
1
Tecnologico de Monterrey, School of Engineering and Sciences, Ave. Eugenio Garza Sada 2501, Monterrey, N.L., 64849, México
2
Department of Industrial Engineering, Faculty of Engineering, University of Science and Culture, Tehran, Iran
3
Department of Industrial and Mechanical Engineering, School of Engineering, Universidad de las Américas Puebla (UDLAP), Puebla. C.P, Mexico
4
Ingram School of Engineering, Texas State University, 601 University Drive, San Marcos, TX 78666, USA
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
13
September
2024
Accepted:
24
January
2026
Abstract
Production scheduling is a critical component of modern manufacturing, as it ensures the efficient use of limited and often expensive production resources. The integration of lot sizing and scheduling has therefore attracted significant scholarly attention, offering opportunities to improve capacity utilization and inventory management. This paper reviews and synthesizes the literature on the Economic Lot Scheduling Problem (ELSP), with particular emphasis on studies adopting the Common Cycle (CC) approach. The reviewed works are systematically classified into key categories, including defective production processes, shortage policies, maintenance activities, deteriorating items, objective functions, and modeling constraints. This taxonomy not only organizes the diverse body of research but also highlights thematic trends and methodological contributions across more than three decades of ELSP studies.
Mathematics Subject Classification: 90B30 / 90B05
Key words: Economic Lot Scheduling Problem (ELSP) / EPQ / single machine / Common Cycle (CC)
© The authors. Published by EDP Sciences, ROADEF, SMAI 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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