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Steinau an der Strasse, Germany

The Berlin School of Economics and Law is an institution founded on 1 April 2009 through the merger of the Berlin School of Economics and the FHVR Berlin, a university of applied science for administration and law. The BSEL portfolio provides a wide range of professional qualifications. The Hochschule forms an academic centre specialised in business and administration for the public and private sector, as well as public security, the law and engineering. The majority of programmes lead to a Bachelor or Master degree. Degrees have been quality controlled and are accredited by the German state. BSEL is AMBA accredited and member of the UAS7 Alliance for Excellence, a strategic alliance of seven leading German Universities of Applied science committed to excellence in teaching and research. BSEL has an international approach with close working relationship with over 90 partner universities all over the world and has a very strict and selective admission policy. Wikipedia.


Daduna J.R.,Berlin School of Economics and Law
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

For freight transport (and in particular road freight transport) the availability of a suitable (intra- and inter-organizational) information management is of decisive significance. Therefore, the technical (and organizational) framework as well as the essential instruments will be presented and analyzed. This will be followed by an examination of the operational planning and the operations of the road freight transport where economic factors influence the discussion as well as ecological aspects. It will be illustrated that an intelligent linkage between different elements of the information and communication technology and the automotive engineering as well as with the transport infrastructure leads to a significant improvement regarding the operational processes in road freight transport. This does not only refer to the costs of transport operations but also reflects positive ecological effects and improvements of transport security. © 2011 Springer-Verlag. Source


Ivanov D.,Berlin School of Economics and Law | Sokolov B.,Saint Petersburg Institute for Informatics and Automation | Pavlov A.,Saint Petersburg Institute for Informatics and Automation
International Journal of Production Research | Year: 2013

In this paper, a dual problem formulation is developed in order to solve a multi-objective, multi-period and multi-commodity production-distribution (re)planning problem for a multi-stage centralised upstream network with structure dynamics considerations. The original idea of this study is to use the real logic of decision-making in companies and exclude demand constraint from the linear programming (LP) model. This allows transit from the classical transportation problem, formulated as an LP model in order to improve service level at the strategic inventory holding point. The formulation as an LP model makes it possible to formulate the dual problem. The performed structural analysis revealed some interesting managerial insights into building robust distribution plans and interconnecting decisions on distribution network design, planning, and sourcing. © 2013 Taylor and Francis Group, LLC. Source


Ulku T.,Berlin School of Economics and Law
Journal of Air Transport Management | Year: 2015

AENA in Spain and DHMI in Turkey operate a large majority of the airports in their respective countries. These two airport operators share some similar characteristics, but also present many differences with respect to their management strategies. For instance, the Turkish DHMI introduced a Build-Operate-Transfer (BOT) model and concession agreements, which enables active private participation in airport management. In contrast, management and operation responsibilities at all airports in Spain -with a few exceptions-have remained with AENA. This paper utilizes a data envelopment analysis (DEA) to compare the relative efficiency of airports within AENA and DHMI for the years between 2009 and 2011. Based on the efficiency scores, it further identifies the sources of inefficiencies resulting from various management strategies and other external factors. The results indicate higher average efficiency levels at Spanish airports, but private involvement enhances efficiency at Turkish airports. The majority of the airports in Spain and Turkey operate under increasing returns to scale. Certain policy options, including a higher private involvement and improvement of the airport network by closing some inefficient airports, should be considered in order to increase the airport efficiency in both countries. © 2015 Elsevier Ltd. Source


Ivanov D.,University of Hamburg | Ivanov D.,Berlin School of Economics and Law | Dolgui A.,Ecole Nationale Superieure des Mines de Saint - Etienne CMP | Sokolov B.,Russian Academy of Sciences
Annual Reviews in Control | Year: 2012

Decisions in supply chain planning and control are interconnected and depend on tackling uncertainties and dynamics. From this perspective, control theory (CT) is an interesting research avenue for the supply chain management (SCM). In this paper, the applicability of optimal CT to SCM is investigated. Our analysis is based on the fundamentals of control and systems theory and experimental modeling. The paper describes important issues and perspectives that delineate dynamics in supply chains, identifies and systemizes different streams in application of CT to production, logistics, and SCM in the period from 1960 to 2011. It derives some classifications, performs a critical analysis, and discusses further researches. Some drawbacks and missing links in the literature are pointed out. Several crucial application areas of control theory to SCM are discussed. Subsequently, optimal program control, challenges and advantages of its application in the SCM are addressed. It is shown how optimal program control can be applied to adaptive supply chain planning. In addition, it is concluded that with the help of CT, robustness, adaptability, and resilience of supply chains can be investigated in their consistency with operations planning and execution control within a conceptually and mathematically integrated framework. However, although SCs resemble control systems, they have some peculiarities which do not allow a direct application of CT methods. In this setting, further development of interdisciplinary approaches to supply chain optimization is argued. An extended co-operation between control and supply chain experts may have the potential to introduce more realism to the dynamic planning and models and improve real-time supply chain control policies. © 2012 Elsevier Ltd. All rights reserved. Source


Ivanov D.,Berlin School of Economics and Law | Sokolov B.,Russian Academy of Sciences
Journal of Manufacturing Technology Management | Year: 2012

Purpose - On modern markets, supply chains (SC) shape the competition landscape. At the same time, considerable research advancements have been recently achieved in the area of collaborative networks. Trends in information technology progress for networked systems include development of cyber-physical networks, cloud service environments, etc. The purpose of this paper is to identify an inter-disciplinary perspective and modelling tools for new generation SCs which will be collaborative cyber-physical networks. Design/methodology/approach - This study addresses the above-mentioned research goal by first, developing a methodical vision of an inter-disciplinary modelling framework for SCM based on the existing studies on SC operations, control and systems theories; and second, by integrating elements of different structures with structures dynamics within an adaptive framework based upon the authors' own research. Findings - The inter-disciplinary modelling framework for multi-structural SCs has been developed. A new inter-disciplinary level of model-based decision-making support in those SCs is claimed based on the integration of previously isolated problems and modelling tools developed in such disciplines like operations research, control theory, system dynamics, and artificial intelligence. Originality/value - The novelty of this paper is the consideration of SC modelling in the context of collaborative cyber-physical systems. This topic is particularly relevant for researchers and practitioners who are interested in future generation SCs. Particular focus is directed towards the multi-structural SC modelling, structure dynamics, and inter-disciplinary problems and models in future SCs. Challenges of integrated optimization in the organizational and informational context are discussed. © Emerald Group Publishing Limited. Source

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