Journal of Optimization & Decision Making (JODM) is an open access, peer-reviewed journal dedicated to publishing original research in industrial engineering, optimization, and management science. The journal emphasizes quantitative methods and their practical applications to address complex challenges in economic, social, and managerial contexts. JODM aims to serve as a platform for cutting-edge research that advances theoretical and applied approaches in operations research, decision analysis, and systems engineering. In particular, the articles published deal with the following subjects:

• Decision Support Systems

• Mathematical Programming

• Optimization

• Production planning and  Manufacturing system

• Supply chain management and Logistics

• Machine learning and data-driven optimization

• Sustainable decision-making and green optimization

• Business Intelligence and Operations Management

• Computational Intelligence

• Econometric and Statistical Methods

• Queueing theory with applications

• Stochastic processes

• Healthcare optimization

• Forecasting

• Game Theory

• Information Management

• Project Management

• Inventory management

• Simulation

The journal features papers with substantial theoretical discussions on operational research and decision-making methodologies, as well as detailed descriptions of quantitative methods and their application to solving practical economic and social problems.

The journal observes a code of ethics based on academic standards. A basic element in fully understanding these ethical rules and abiding by them is reading the ethical standards of the journal.

The full texts of articles are freely available from the Journal of Optimization and Decision Making web site according to a Creative Commons Licence (CC BY-NC-ND).

The definitive version of the journal is the online version. The journal is published by the Industrial Engineering Department of AYBU.