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.
Agency: European Commission | Branch: FP7 | Program: CP-IP | Phase: SSH-2010-1.2-1 | Award Amount: 9.98M | Year: 2011
The research programme will integrate diverse levels, methods and disciplinary traditions with the aim of developing a comprehensive policy agenda for changing the role of the financial system to help achieve a future which is sustainable in environmental, social and economic terms. The programme involves an integrated and balanced consortium involving partners from 14 countries that has unsurpassed experience of deploying diverse perspectives both within economics and across disciplines inclusive of economics. The programme is distinctively pluralistic, and aims to forge alliances across the social sciences, so as to understand how finance can better serve economic, social and environmental needs. The central issues addressed are the ways in which the growth and performance of economies in the last 30 years have been dependent on the characteristics of the processes of financialisation; how has financialisation impacted on the achievement of specific economic, social, and environmental objectives?; the nature of the relationship between financialisation and the sustainability of the financial system, economic development and the environment?; the lessons to be drawn from the crisis about the nature and impacts of financialisation? ; what are the requisites of a financial system able to support a process of sustainable development, broadly conceived?
Agency: European Commission | Branch: FP7 | Program: CSA-SA | Phase: HEALTH-2007-4.2-3 | Award Amount: 1.22M | Year: 2008
This proposal aims to review current knowledge and issues related to the economic impact of health at work, to assemble, organise, analyse and synthesise data from national projects and surveys, and to recommend future actions for research and policy development aiming at improving health and safety at work in a changing labour market environment in the European Union in an era of ageing populations, feminised labour markets and increased incidence of Small and Medium Enterprices (SMEs). This is achieved through co-ordinated reviews, the development of common databases regarding indicators of health and safety at work in the participant countries (including the incidence of accidents and illnesses of work, the incidence of absenteeism, and early retirement due to accidents/illnesses at work,) and the associated GIS analysis capability. In addition, a pilot study aiming at designing appropriate data collection protocols is designed to explore the appropriateness of small scale surveys, using purpose-build questionnaire, to determine the preference setting of both employers and employees with regard to health and safety at work and to highlight the cost and benefits of investing in improving the health and safety at work. The above lead to a series of co-ordination meetings and workshops at which the status of health and safety at work, its repercussions for the quality of work and its effects on Europes competitiveness are reviewed and studied. A comparative EU-wide assessment of the structure and dynamics of the health and safety at work is carried out. Policy recommendations aiming at improving the health and safety at work in the context of changing labour market environment are detailed with particular reference to the ageing population, the feminisation of the labour markets and the increased incidence of SMEs.
Ivanov D.,Berlin School of Economics and Law
International Journal of Production Research | Year: 2017
Dynamics of structures and processes is one of the underlying challenges in supply chain management, where multiple dimensions of economic efficiency, risk management and sustainability are interconnected. One of the substantiated issues in supply chain dynamics is resilience. Resilience has a number of intersections with supply chain sustainability. This paper aims at analysing disruption propagation in the supply chain with consideration of sustainability factors in order to design resilient supply chain structure in regard to ripple effect mitigation and sustainability increase. Ripple effect in the supply chain occurs if a disruption at a supplier cannot be localised and cascades downstream impacting supply chain performance. This simulation-based study helps to identify what sustainability factors mitigate the ripple effect in the supply chain and what sustainability factors enhance this effect. The results indicate that (i) sustainable single sourcing enhances the ripple effect; (ii) facility fortification at major employers in regions mitigates the ripple effect and enhances sustainability; and (iii) a reduction in storage facilities in the supply chain downstream of a disruption-risky facility increases sustainability but causes the ripple effect. © 2017 Informa UK Limited, trading as Taylor & Francis Group
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.
Loecher M.,Berlin School of Economics and Law |
Ropkins K.,University of Leeds
Journal of Statistical Software | Year: 2015
The RgoogleMaps package provides (1) an R interface to query the Google and the OpenStreetMap servers for static maps in the form of PNGs, and (2) enables the user to overlay plots on those maps within R. The loa package provides dedicated panel functions to integrate RgoogleMaps within the lattice plotting environment. In addition to solving the generic task of plotting on a map background in R, we introduce several specific algorithms to detect and visualize spatio-temporal clusters. This task can often be reduced to detecting over-densities in space relative to a background density. The relative density estimation is framed as a binary classification problem. An integrated hotspot visualizer is presented which allows the efficient identification and visualization of clusters in one environment. Competing clustering methods such as the scan statistic and the density scan offer higher detection power at a much larger computational cost. Such clustering methods can then be extended using the lattice trellis framework to provide further insight into the relationship between clusters and potentially influential parameters. While there are other options for such map ‘mashups’ we believe that the integration of RgoogleMaps and lattice using loa can in certain circumstances be advantageous, e.g., by providing a highly intuitive working environment for multivariate analysis and flexible testbed for the rapid development of novel data visualizations. © 2015, Journal of Statistical Software. All rights received.
Ivanov D.,Berlin School of Economics and Law |
Sokolov B.,Saint Petersburg Institute for Informatics and Automation SPIIRAS
International Journal of Production Research | Year: 2013
A new dynamic model for co-ordinated scheduling of interlinked processes in a supply chain under a process modernisation is presented. Such a problem is vital in many of the supply chain management domains. This problem is represented as a special case of the scheduling problem with dynamically distributed jobs. The peculiarity of the proposed approach is the dynamic interpretation of scheduling based on a natural dynamic decomposition of the problem and its solution with the help of a modified form of continuous maximum principle blended with combinatorial optimisation. The special properties of the developed model allow using methods of discrete optimisation for the schedule calculation. Optimality and sufficiency conditions as well as structural properties of the model are investigated. Advantages and limitations of the proposed approach are discussed. With the developed approach, an explicit inclusion of a process modernisation in the SC co-ordinated decisions for a wide ranges of possible applications as well as a dynamic model and a tractable algorithm for optimal discrete time scheduling on the basis of continuous maximum principle have been obtained. © 2013 Taylor & Francis.
Ivanov D.,Berlin School of Economics and Law |
Sokolov B.,Saint Petersburg State University of Information Technologies, Mechanics and Optics
IFAC Proceedings Volumes (IFAC-PapersOnline) | Year: 2015
We consider two synchronized schedules in the supply chain (e.g., an assembly line schedule at a producing company and a supply schedule for a module). This is a multi-objective dynamic scheduling problem with constrained machine capacities. The optimization criteria include total lateness minimization and throughput maximization. Due to some random re-scheduling activities (i.e., new rush customer orders) at one of the companies, the schedule coordination should be performed again. This problem is a dynamic scheduling problem where machine capacities are constrained. If a machine is assigned to a new introduced job that came during the re-scheduling, it cannot be used for processing the initially planned jobs at the same time. This conflict should be resolved on the basis of new schedule coordination to execute both new and initial jobs. For such problem statement, a new dynamic model for coordinated scheduling of interlinked processes in a supply chain under partial re-scheduling is presented. The peculiarity of the proposed approach is the dynamic interpretation of scheduling based on a natural dynamic decomposition of the problem and its solution with the help of a modified form of continuous maximum principle blended with combinatorial optimization. The special properties of the developed model allow using methods of discrete optimization for the schedule calculation. Optimality and sufficiency conditions as well as structural properties of the model are investigated. Advantages and limitations of the proposed approach are discussed. With the developed approach, an explicit inclusion of a schedule changes in the SC coordinated decisions for a wide ranges of possible applications as well as a dynamic model and a tractable algorithm for optimal discrete time scheduling on the basis of continuous maximum principle have been obtained. © Copyright 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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.
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.
Mueller R.M.,Berlin School of Economics and Law
Proceedings of the Annual Hawaii International Conference on System Sciences | Year: 2015
This paper suggests a new way of comparing and analyzing causal theories. The main contribution is a meta-model that represents causal theories and a taxonomy of inter-theory relationships. The inter-theory relationships can be automatically calculated for two theories that are described with the meta-model. Two visualizations are presented with which to analyze set of theories: The inter-theory relationship matrix and the theory evolution graph. An exemplary application of the approach is shown for a small set of information systems theories. The proposed approach should help researchers improve their understanding of the contribution and evolution of theories. © 2015 IEEE.