The conference is also supported by eight leading journals
Established in 1961, the International Journal of Production Research (IJPR) is a leading journal in the areas of manufacturing, industrial engineering, operations research and management science.
The International Journal of Production Research aims to disseminate research on decision aid in manufacturing, operations management and logistics.
The International Journal of Production Research publishes convincing scientific results with clear, real-life applications as well as fundamental techniques developed in computer, decision and mathematical sciences to solve complex decision problems that arise in design, measurement, management and control of production and logistics systems.
The mission of the Flexible Services and Manufacturing Journal, formerly known as the International Journal of Flexible Manufacturing Systems, is to publish original, high-quality research papers in the field of services and manufacturing management. All aspects in this field including the interface between engineering and management, the design and analysis of service and manufacturing systems as well as operational planning and decision support are covered. The journal seeks papers that have a clear focus on the applicability in the real business world including all kinds of services and manufacturing industries, e.g. in logistics, transportation, health care, manufacturing-based services, production planning and control, and supply chain management. Flexibility should be understood in its widest sense as a system’s ability to respond to changes in the environment through improved decision making and business development procedures and enabling IT solutions.
The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications.
In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.
Industrial engineering is one of the earliest fields to utilize computers in research, education, and practice. Over the years, computers and electronic communication have become an integral part of industrial engineering. Computers & Industrial Engineering (CAIE) is aimed at an audience of researchers, educators and practitioners of industrial engineering and associated fields.
It publishes original contributions on the development of new computerized methodologies for solving industrial engineering problems, as well as the applications of those methodologies to problems of interest in the broad industrial engineering and associated communities. The journal encourages submissions that expand the frontiers of the fundamental theories and concepts underlying industrial engineering techniques.
IJISM‘s thematic focus is on research that investigates and improves integration along supply chains. IJISM seeks high-impact scholarly analytical and empirical research in integrated supply management from academics and professionals. It is discipline-agnostic. Supply chain integration can be a complex and challenging imperative involving industry 4.0 ecosystems, alignment of supply markets and consumers, associated organisational changes, and the creation and management of integrative relationships in the supply chain. Substantive research that addresses such issues is solicited.
Algorithms is an open access journal of computer science, computational mathematics, artificial intelligence, automation and control systems, theory, methods and interdisciplinary applications, data and information systems, and software engineering. Algorithms provides an advanced forum for studies related to algorithms and their applications. It publishes reviews, regular research papers, and short communications as well as Special Issues on particular subjects.
Published in eight issues per year, the Journal of Intelligent Manufacturing provides a unique international forum for developers of intelligent manufacturing systems. By publishing quality refereed papers on the application of artificial intelligence in manufacturing, the Journal provides a vital link between the research community and practitioners in industry.
In addition to research papers, the Journal of Intelligent Manufacturing features articles on new models, solutions, methodologies and algorithms, case studies, surveys, and tutorials on topics related to product development, manufacturing, and service systems. Papers in emerging areas such as additive manufacturing, digital manufacturing, cyber-physical solutions, modern supply and distribution chains, cloud applications, and deep-learning are welcome. Periodically special issues on topics of interest to the readership are published.
Product Lifecycle Management is defined as a strategic business approach for effective management and use of corporate intellectual capital. Challenges faced by product development teams include globalisation, outsourcing, mass customisation, fast innovation and product traceability, enhancing the need for collaboration and knowledge management along the product lifecycle stages. PLM systems are gaining acceptance for managing all information about products throughout their whole lifecycle, from conceptualisation to operations/disposal. IJPLM addresses the development, promotion and coordination of PLM science and practice.
Artificial Intelligence (AI) is playing a major role in the fourth industrial revolution and we are seeing a lot of evolution in various machine learning methodologies. AI techniques are widely used by the practicing engineer to solve a whole range of hitherto intractable problems. This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering. Submitted papers should report some novel aspects of AI used for a real world engineering application and also validated using some public data sets for easy replicability of the research results.