Wroclaw University of Economics

Wroclaw, Poland

The Wrocław University of Economics is one of ten public universities located in Wrocław, Poland. Originally established in 1947 as a private business school , it was nationalized in 1954 under the name Wyższa Szkoła Ekonomiczna, "College of Economics"). In October 1974 it was named after the Polish economist Oskar Lange, although his name does not occur in the official English name of the university. Changing the name to the Wrocław University of Economics in 2008 removed Oskar Lange from the name of the University.The main campus with three out of four departments is located on Ulica Komandorska near the center of Wrocław, whereas one faculty resides in a separate campus in Jelenia Góra.The university comprises the following schools :School of Economic scienceSchool of Engineering and EconomicsSchool of Management, Computer Science and FinanceSchool of Regional Economy and Tourism Altogether it employs 784 academic teachers including 142 professors. There is strong interest in economic studies, in the current academic year the University has about 17,000 students, and so far it has produced over 70,000 graduates. Wikipedia.

Time filter
Source Type

Kapelko M.,Wroclaw University of Economics
Annals of Operations Research | Year: 2017

This paper extends the measurement of dynamic productivity change over time to provide its full decomposition into economically meaningful components in the Data Envelopment Analysis framework. The dynamic approach accounts for dynamics of production decisions via adjustment costs and is visualized as a dynamic Luenberger productivity change indicator. The paper also estimates the dynamic productivity change and its components for a large dataset of European food companies from 2004 till 2012, grouped into Eastern, Southern, and Western regions. The study reveals three main results. First, the overall trend of dynamic technical regress and positive dynamic technical inefficiency change across almost all regions and sectors was found. Second, some differences for this general pattern were found for the bakery industry and for Eastern European firms. Thirdly, there are also some remarkable changes in indicators observed during the periods related to the financial crisis and the volatility of agricultural commodity prices. © 2017 The Author(s)

Michalak K.,Wroclaw University of Economics
Applied Soft Computing Journal | Year: 2017

One of the approaches to combinatorial optimization is to use global search methods, such as evolutionary algorithms combined with local search procedures. Local search can be very effective in improving the quality of solutions, however, searching large neighbourhoods can be computationally expensive. In this paper a new local search method is described that is dedicated to the Firefighter Problem (FFP). The Firefighter Problem concerns protecting nodes of a graph in order to stop a threat that is spreading in the graph. Because the resources used for protection are limited, the goal is to find the best order in which the nodes are protected and thus the FFP is a combinatorial optimization problem. One of the key elements in the design of a local search method is the definition of the neighbourhoods of solutions from which the local search starts. The method proposed in this paper (ED-LS) aims at lowering the computational cost of the local search by reducing, based on certain heuristics, the size of these neighbourhoods. In this paper the ED-LS is compared to an optimization without the local search, a local search using non-reduced neighbourhoods and a method that reduces the neighbourhood by checking only some randomly selected neighbours. The results show that the ED-LS improves the performance of the algorithm with respect to no local search at all and to the local search using non-reduced neighbourhoods, supporting the view that reducing the size of the neighbourhood is beneficial. Also, the ED-LS produces better results than when the size of the neighbourhood is reduced randomly, which means that the proposed heuristics are indeed selecting promising neighbours effectively. In the last part of the experiments the ED-LS is further improved to obtain faster improvement of solutions at the beginning of the optimization run. © 2017 Elsevier B.V.

In case you didn’t catch word, I’ve been nearly invisible here on CleanTechnica for the past few weeks because our 2nd daughter (Julia) was just born on September 9 and I’ve been playing mommy + daddy to our 2-year-old daughter Lily for a few weeks, while also trying to help mommy + the newborn as much as I can. But we have a conference fast approaching, so I’m again raising my head above the editing + content curation side of CleanTechnica. Wrocław (where I live) is the home of our next Cleantech Revolution Tour conference (register for free here). It is also one of two current “European Capitals of Culture” — which is not to say it’s Europe’s #1 cultural capital, but it has a lot to offer and is a great city to visit. (You can read more about the European Capital of Culture program here.) The biggest draw for conference attendees, though, is certainly the conference itself. Since I last wrote about it, we have signed up several more exciting and expert presenters. Additionally, Nissan has joined as a sponsor of the conference, and Radio RAM, GRAMwZIELONE, and Idea Place have jumped on as supporters. These four partners join initial sponsors and partners Europejski Instytut Miedzi (aka European Copper Institute), GridHub, Important Media, TechBerlin, Leonardo Energy, and CleanTechnica (of course). Nissan will be bringing not only LEAF electric cars for test drives, but also e-NV200 electric vans. I’ve never driven the latter, so I’m personally excited about that opportunity! Aside from all of the topics and speakers I announced in my previous article about the conference, we have several new ones to highlight. You can check out the conference website for more details, but here’s a summary of topics we’ve added: Remember, to make the conference as accessible as possible, we have made registration free! Join us in Wrocław for some cleantech inspiration and fun! Here are short bios of some of the newly committed speakers: Arsenii started the green transport revolution in Ukraine. As a technical engineer and experienced businessman, he has always been engaged in the car market and has worked in the EV industry since 2008. He initiated widespread awareness of electric transport in Ukraine (bioauto.com.ua) and endeavoured to change legislation and attitude towards green transport and charging networks. Since 2015, Arsenii is a Chairman of the Board of Electric Vehicle Association of Ukraine (ev-ua.org), and in the same year, became a certified engineer-technologist for the assembly of EVs. Through mind and matter, Arsenii started Ukraine on its way to clean, fresh air. Michał Jarczyński, head of the Energy unit of IPM (Poznań), is focused on developing financial & organizational e-mobility solutions for the municipal sector. Michał Jarczyński is a graduate of Poznań University of Technology’s Faculty of Machines and Transportation (1992) and completed postgraduate studies in finance at Poznań University of Economics (2000). He has managed numerous manufacturing and consulting companies. Michał also won an award from the Minister of Industry in a competition for “most interesting initiatives in business development” (1993). Since 1998, Michał has worked for Arctic Paper Kostrzyn SA (beginning as a Financial Director and in 2002 becoming the President of the Board of Directors). From April 2009 until 2013, he was the CEO of the international group of companies that is the parent of that company – Arctic Paper. During 2005–2006, Michał supervised the development of a combined cycle power plant in Kostrzyn on the Odra River. Within Arctic Paper, he supervised 4 CHPs (i.e. combined cycle power plants in Poland, a hydroelectric power station and a biomass cogeneration plant in Sweden, as well as a fossil fuel power plant in Germany). Since 2013, Michał has been President of the Board of Directors at ENEA Operator. Since October 2013, he has also been a Member of the Board of the Polish Association of Power Transmission and Distribution. Michał Ramczykowski graduated from Wroclaw University of Economics in 1997 in the Department of Management and Marketing. Since November 1998, he has been working at the Polish Copper Promotion Centre (PCPC). His focus has been on managing electrical & energy projects with a special interest in coordinating market development projects on the Polish market. Michał coordinated the IEE Project on “Energy Efficient Electric Motor Systems in New Member Countries” (Motor Challenge). In 2008, he was nominated as the Managing Director of the PCPC. He continued to manage Energy & Electricity Projects in Poland and CEE with a special focus on energy policy and Leonardo ENERGY projects as well as building construction, health & environment, communications, and PR. He completed an MBA course in 2011 and earned a diploma in Business Mediation in 2013. After reorganization of the Copper Alliance network in Europe and the company changing its name to Europejski Instytut Miedzi (European Copper Institute Poland), Michał has continued as the company’s Managing Director. Roman Tabaka is a pioneer of new technologies in Poland. As an electronics expert and constructor, he started a local radio station, Elka, in Leszno in 1993. In the year 2000, he built the first wireless internet network in Poland, called PRONET, which provides service to more than 3000 clients in Leszno and the surrounding area.Roman’s vast experience, ambition, and perseverance seemingly guarantee the success of the projects he gets involved in. For more than 5 years now, Roman has been the president of T&T Proenergy, which tests the efficiency of photovoltaic installations and is one of the very first companies in Poland to do so. The company’s installation in Leszno has been used by banks in Poland to assess risk and income in the bank loan procedure. Today, T&T Proenergy supplies the most efficient state-of-the-art PV solutions to generate electricity from solar energy Sebastian Koziołek, PhD, works at the University of Technology in Wrocław at the faculty of Mechanical Engineering as Chair of Design and Research of Machines. Sebastian Koziołek is a mobile scientist involved in the research of predicting the development of technology and innovation engineering as well as their application in solving complex mechanical engineering problems and developing new products and services. Sebastian completed his engineering course of studies at Nottingham Trent University in 2002 as part of the Socrates–Erasmus program. Winner of the European program Leonardo da Vinci, where he designed an installation for mixing components in pharmaceutical production in SkidTek in Ireland. In 2010, Sebastian completed a three-month science internship as a visiting professor at George Mason University in the USA. He is a three-time scholarship winner in the best young scientists program of the University of Wrocław as part of the Młoda Kadra project. Sebastian also participated in the prestigious program of the Ministry of Science and Higher Education called “TOP 500 Innovators,” in which he did another internship on commercialization of scientific findings at Stanford University in Silicon Valley. In 2014 and 2015, together with the University of Technology in Milano and Sydney University, Sebastian developed and researched a method for predicting developments in technology. He is currently doing research in predicting developments in technology, innovative design, renewable energy, creativity, and management; cooperating with many universities and companies around the world. That’s a pretty stellar lineup of new speakers, no? I’m super excited about the fascinating presentations we’ve lined up, and I’m not saying that to toot my own horn — Jacek Fior has actually been the one leading the event organization and planning, so the credit really goes to him. The people I’ve brought in have largely come through previous connections and good luck. You can find out more about the conference and the other presenters and topics in my first article about the Wrocław conference, and you can get more context via articles about our previous conferences. Of course, you can also visit the Cleantech Revolution Tour website: http://cleantechtour.com Buy a cool T-shirt or mug in the CleanTechnica store!   Keep up to date with all the hottest cleantech news by subscribing to our (free) cleantech daily newsletter or weekly newsletter, or keep an eye on sector-specific news by getting our (also free) solar energy newsletter, electric vehicle newsletter, or wind energy newsletter. Zachary Shahan is tryin' to help society help itself (and other species) with the power of the typed word. He spends most of his time here on CleanTechnica as its director and chief editor, but he's also the president of Important Media and the director/founder of EV Obsession, Solar Love, and Bikocity. Zach is recognized globally as a solar energy, electric car, and energy storage expert. Zach has long-term investments in TSLA, FSLR, SPWR, SEDG, & ABB — after years of covering solar and EVs, he simply has a lot of faith in these particular companies and feels like they are good cleantech companies to invest in.

Rudek R.,Wroclaw University of Economics
Computers and Industrial Engineering | Year: 2011

In this paper, we analyze the two-machine flowshop problem with the makespan minimization and the learning effect, which computational complexity was not determined yet. First, we show that an optimal solution of this problem does not have to be the 'permutation' schedule if the learning effect is taken into consideration. Furthermore, it is proved that the permutation and non-permutation versions of this problem are NP-hard even if the learning effect, in a form of a step learning curve, characterizes only one machine. However, if both machines have learning ability and the learning curves are stepwise then the permutation version of this problem is strongly NP-hard. Furthermore, we prove the makespan minimization problem in m-machine permutation proportional flowshop environment remains polynomially solvable with identical job processing times on each machine even if they are described by arbitrary functions (learning curves) dependent on a job position in a sequence. Finally, approximation algorithms for the general problem are proposed and analyzed. © 2011 Elsevier Ltd. All rights reserved.

Rudek R.,Wroclaw University of Economics
European Journal of Industrial Engineering | Year: 2013

In this paper, we analyse the single machine maximum lateness minimisation scheduling problem with the aging effect, where the job processing times are described by non-decreasing functions dependent on the sum of the normal processing times of already processed jobs. We prove that the considered problem is at least NP-hard even if job processing times are described by linear functions. Moreover, we construct the branch and bound method and implement well known approximation algorithms for the general version of the problem and verify numerically their efficiency. [Received 18 February 2011; Revised 26 May 2011, 3 September 2011; Accepted 12 September 2011] Copyright © 2013 Inderscience Enterprises Ltd.

Harasym J.,Wroclaw University of Economics | Oledzki R.,Wroclaw University of Economics
Nutrition | Year: 2014

For a long time, the increased consumption of fruits and vegetables was considered critical in protecting humans against a number of diseases, such as cancer, diabetes, neurodegenerative diseases, and heart and brain vascular diseases. Presently, it is thought that the protective properties of these foods result from the presence of low-molecular antioxidants that protect the cells and their structures against oxidative damage. The alleged effect of reducing the risk for many diseases is not only due to the effect of individual antioxidants, such as α-tocopherol, ascorbic acid, or β-carotene, but also may be the result of antioxidant compounds not yet known or synergy of several different antioxidants present in fruits and vegetables. Studies on macromolecules (DNA, nucleotides, proteins) free-radical-related damage showed that diets enriched with extra servings of fruits and vegetables rich in β-carotene, tocopherols, and ascorbic acid had only limited effect on the inhibition of oxidation processes. A number of studies have shown, however, that consuming less common fruits and vegetables contribute much more to the reduction of free-radical processes, most likely because they contain a large amount of non-vitamin antioxidants, such as polyphenols and anthocyanins. © 2014 Elsevier Inc.

Piwowar A.,Wroclaw University of Economics | Dzikuc M.,University of Zielona Gora
Renewable and Sustainable Energy Reviews | Year: 2016

The paper presents the economic and technical problems associated with the use of biomass in co-combustion processes in the energy sector in Poland. The particular attention was paid to the extent of the use of biomass in the energy sector, the technologies and techniques applied, as well as the economic determinants. As it results from the analyses, the co-combustion of biomass in Poland is a predominant direction in the "green" energy production. Co-combustion processes are carried out mainly with the use of direct combustion technologies in the largest entities operating in the energy market. The widespread use of biomass in the Polish energy sector results in specific problems, such as those associated with the prices of green certificates and the import of biomass. Currently, the Polish renewable energy sector is developing as intended. However, the validity of the funds spending, which aimed at supporting renewable energy sources (RES), may raise some doubts. This results from insufficient monitoring of the amount of energy produced on the basis of renewable sources, which in 2012 led to over-production of the RES-based energy and, consequently, to a significant decrease in prices of green certificates. © 2015 Elsevier Ltd.

Matraszek A.,Wroclaw University of Economics
Journal of Solid State Chemistry | Year: 2013

A diagram representing phase relationships in the Sr3(PO 4)2-CePO4 phosphate system has been developed on the basis of results obtained by thermal analysis (DTA/DSC/TGA) and X-ray diffraction (XRD) methods. One intermediate compound with the formula Sr 3Ce(PO4)3 occurs in the Sr3(PO 4)2-CePO4 system at temperatures exceeding 1045 °C. The compound has a eulytite structure with the following structural parameters: a=b = c= 10.1655(8)Å, α=β=γ=90.00°, V = 1050.46(6)Å3. It's melting point exceeds 1950 °C. A limited solid solution exists in the system, which possesses the structure of a low-temperature form of Sr3(PO4)2. At 1000 °C the maximal concentration of CePO4 in the solid solution is below 20 mol%. The solid solution phase field narrows with increased temperature. There is a eutectic point in the {Sr3(PO 4)2+Sr3Ce(PO4)3} phase field at 1765 °C and 15 mol% of CePO4. The melting temperature of Sr3(PO4)2 is 1882 + 15 °C. © 2013 Elsevier Inc. All rights reserved.

Rudek R.,Wroclaw University of Economics
International Journal of Advanced Manufacturing Technology | Year: 2012

In this paper, we analyze some single machine scheduling problems with the aging effect. We extend the sum-of-processing-time-based aging model such that the fatigue caused by each job to the machine is equal to a non-increasing function dependent on the normal processing time of a job and the aging effect is job dependent. Although the proposed model is more general and describes more precisely the real-life settings, we show that the special cases of the maximum completion time and the maximum lateness minimization problems with this model are still polynomially solvable. However, we prove the maximum completion time minimization problem with the sum-of-processing-time-based aging model is strongly NP-hard if some jobs have deadlines and constant processing times. On this basis, we show that the maximum lateness minimization problem with this aging model is also strongly NP-hard. © 2011 The Author(s).

Rudek A.,Wroclaw University of Technology | Rudek R.,Wroclaw University of Economics
Computers and Operations Research | Year: 2013

This paper considers flowshop scheduling problems where job processing times are described by position dependent functions, i.e., dependent on the number of processed jobs, that model learning or aging effects. We prove that the two-machine flowshop problem to minimize the maximum completion time (makespan) is NP-hard if job processing times are described by non-decreasing position dependent functions (aging effect) on at least one machine and strongly NP-hard if job processing times are varying on both machines. Furthermore, we construct fast NEH, tabu search with a fast neighborhood search and simulated annealing algorithms that solve the problem with processing times described by arbitrary position dependent functions that model both learning and aging effects. The efficiency of the proposed methods is numerically analyzed. © 2013 Elsevier Ltd.

Loading Wroclaw University of Economics collaborators
Loading Wroclaw University of Economics collaborators