Optimization of performance is regarded as a key success factor for not only the industrial domain, but also the service sector. Over the last decades, various optimization techniques have been employed by managers and management scientists to improve performance in services and operations management.

With the rapid growth in computational technologies, including data mining technologies and intelligence algorithms, operations management in both service sectors and industrial fields relies more and more on optimal solutions or their approximates based on high-performance algorithms. Thus, it is worth gathering the most recent achievements obtained in the field of optimization models and algorithms for services and operations management.

The aim of this Special Issue is to publish research papers as well as review articles that address recent advances in models and algorithms concerning optimization in the field of services and operations management. We particularly welcome research articles that provide insights into how programming techniques play an important role in optimization in service and operations management.

Potential topics include but are not limited to the following:

• Engineering models and algorithms for services and productions optimization
• Mathematical programming models for services and production optimization
• Heuristics and approximate algorithms for services and productions optimization
• Data mining algorithms for services and productions optimization
• Optimization models and algorithms for e-business recommendation
• Advanced modelling and optimization for large-size problems in services and operations management
• Heuristics and meta-heuristics for services and operations optimization
• Modeling and optimization techniques applied in scientific computing services and operation environments
• Resource allocation and task scheduling in modern high-performance computing systems and data centers