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The editorial area “Quantitative Methods and Decision Support Systems” seeks innovative quantitative contributions in modeling and solving real world logistics and supply chain management problems including freight and public transportation, intermodal transportation, warehousing and inventory management, performance measurement in logistics and at the interfaces of logistics to other disciplines as finance, manufacturing, marketing, and procurement.All kinds of Operations Research methods, in particular exact and heuristic algorithms and simulation to support decision making in logistics are welcome.
This can relate to the economic impact of regulatory change on logistics/supply chain operations be it motivated e.g.
by economic, financial, social, humanitarian or environmental criteria.
‘Logistics for IT’ addresses the logistical aspects of the production of IT services itself, like data center and cloud operations management or the design and operation of IT service supply chains.
The editorial area welcomes design science oriented as well as empirical papers.
The context can cover primary production, manufacturing, service provision of all types, logistics/supply chains of public sector or non-governmental / non-profit organisations or related policy-making efforts. The editorial area “Information and Communication Technology” welcomes both research towards ‘IT for logistics’ as well as research towards ‘logistics for IT’.
‘IT for logistics’ encompasses, e.g., the design, operation, and use of application systems or IT-driven sensor networks for logistical tasks.
You should check the project and department details for more information.
Logistics and transportation are important part in supply chain management.
Ph D Research Project Ph D Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question.
Some projects may also provide scope for you to propose your own ideas and approaches.