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  Subjects -> BUSINESS AND ECONOMICS (Total: 3251 journals)
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BUSINESS AND ECONOMICS (1195 journals)                  1 2 3 4 5 6 | Last

Showing 1 - 200 of 1566 Journals sorted alphabetically
4OR: A Quarterly Journal of Operations Research     Hybrid Journal   (Followers: 10)
Abacus     Hybrid Journal   (Followers: 13)
Accounting Forum     Hybrid Journal   (Followers: 25)
Acta Amazonica     Open Access   (Followers: 5)
Acta Commercii     Open Access   (Followers: 4)
Acta Oeconomica     Full-text available via subscription   (Followers: 2)
Acta Scientiarum. Human and Social Sciences     Open Access   (Followers: 8)
Acta Universitatis Danubius. Œconomica     Open Access   (Followers: 3)
Acta Universitatis Nicolai Copernici Zarządzanie     Open Access   (Followers: 4)
AD-minister     Open Access   (Followers: 3)
Admisi dan Bisnis     Open Access  
ADR Bulletin     Open Access   (Followers: 5)
Advances in Developing Human Resources     Hybrid Journal   (Followers: 23)
Advances in Economics and Business     Open Access   (Followers: 13)
AfricaGrowth Agenda     Full-text available via subscription   (Followers: 1)
African Affairs     Hybrid Journal   (Followers: 65)
African Development Review     Hybrid Journal   (Followers: 36)
African Journal of Business and Economic Research     Full-text available via subscription   (Followers: 3)
African Journal of Business Ethics     Open Access   (Followers: 6)
African Review of Economics and Finance     Open Access   (Followers: 3)
Afro-Asian Journal of Finance and Accounting     Hybrid Journal   (Followers: 7)
Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi     Open Access   (Followers: 3)
Agronomy     Open Access   (Followers: 10)
Akademika : Journal of Southeast Asia Social Sciences and Humanities     Open Access   (Followers: 7)
Alphanumeric Journal : The Journal of Operations Research, Statistics, Econometrics and Management Information Systems     Open Access   (Followers: 5)
American Economic Journal : Applied Economics     Full-text available via subscription   (Followers: 176)
American Enterprise Institute     Free  
American Journal of Business     Hybrid Journal   (Followers: 17)
American Journal of Business and Management     Open Access   (Followers: 53)
American Journal of Business Education     Open Access   (Followers: 12)
American Journal of Economics and Business Administration     Open Access   (Followers: 26)
American Journal of Economics and Sociology     Hybrid Journal   (Followers: 30)
American Journal of Evaluation     Hybrid Journal   (Followers: 14)
American Journal of Finance and Accounting     Hybrid Journal   (Followers: 21)
American Journal of Health Economics     Full-text available via subscription   (Followers: 13)
American Journal of Industrial and Business Management     Open Access   (Followers: 23)
American Journal of Medical Quality     Hybrid Journal   (Followers: 7)
American Law and Economics Review     Hybrid Journal   (Followers: 27)
ANALES de la Universidad Central del Ecuador     Open Access   (Followers: 3)
Annales de l'Institut Henri Poincare (C) Non Linear Analysis     Full-text available via subscription   (Followers: 1)
Annals in Social Responsibility     Full-text available via subscription  
Annals of Finance     Hybrid Journal   (Followers: 29)
Annals of Operations Research     Hybrid Journal   (Followers: 10)
Annual Review of Economics     Full-text available via subscription   (Followers: 32)
Anuario Facultad de Ciencias Económicas y Empresariales     Open Access   (Followers: 2)
Applied Developmental Science     Hybrid Journal   (Followers: 3)
Applied Economics     Hybrid Journal   (Followers: 42)
Applied Economics Letters     Hybrid Journal   (Followers: 29)
Applied Economics Quarterly     Full-text available via subscription   (Followers: 9)
Applied Financial Economics     Hybrid Journal   (Followers: 25)
Applied Mathematical Finance     Hybrid Journal   (Followers: 8)
Applied Stochastic Models in Business and Industry     Hybrid Journal   (Followers: 6)
Arab Economic and Business Journal     Open Access   (Followers: 4)
Archives of Business Research     Open Access   (Followers: 6)
Arena Journal     Full-text available via subscription   (Followers: 1)
Argomenti. Rivista di economia, cultura e ricerca sociale     Open Access   (Followers: 4)
ASEAN Economic Bulletin     Full-text available via subscription   (Followers: 5)
Asia Pacific Business Review     Hybrid Journal   (Followers: 7)
Asia Pacific Journal of Human Resources     Hybrid Journal   (Followers: 321)
Asia Pacific Journal of Innovation and Entrepreneurship     Open Access  
Asia Pacific Viewpoint     Hybrid Journal   (Followers: 1)
Asia-Pacific Journal of Business Administration     Hybrid Journal   (Followers: 5)
Asia-Pacific Journal of Operational Research     Hybrid Journal   (Followers: 3)
Asia-Pacific Management and Business Application     Open Access   (Followers: 1)
Asian Business Review     Open Access   (Followers: 3)
Asian Case Research Journal     Hybrid Journal   (Followers: 1)
Asian Development Review     Open Access   (Followers: 13)
Asian Economic Journal     Hybrid Journal   (Followers: 8)
Asian Economic Papers     Hybrid Journal   (Followers: 7)
Asian Economic Policy Review     Hybrid Journal   (Followers: 4)
Asian Journal of Accounting and Governance     Open Access   (Followers: 3)
Asian Journal of Business Ethics     Hybrid Journal   (Followers: 9)
Asian Journal of Social Sciences and Management Studies     Open Access   (Followers: 7)
Asian Journal of Sustainability and Social Responsibility     Open Access   (Followers: 1)
Asian Journal of Technology Innovation     Hybrid Journal   (Followers: 8)
Asian-pacific Economic Literature     Hybrid Journal   (Followers: 5)
AStA Wirtschafts- und Sozialstatistisches Archiv     Hybrid Journal   (Followers: 5)
ATA Journal of Legal Tax Research     Full-text available via subscription   (Followers: 4)
Atlantic Economic Journal     Hybrid Journal   (Followers: 11)
Australasian Journal of Regional Studies, The     Full-text available via subscription   (Followers: 1)
Australian Cottongrower, The     Full-text available via subscription   (Followers: 1)
Australian Economic Papers     Hybrid Journal   (Followers: 32)
Australian Economic Review     Hybrid Journal   (Followers: 3)
Australian Journal of Maritime and Ocean Affairs     Hybrid Journal   (Followers: 9)
Balkan Region Conference on Engineering and Business Education     Open Access   (Followers: 1)
Baltic Journal of Real Estate Economics and Construction Management     Open Access   (Followers: 2)
Banks in Insurance Report     Hybrid Journal   (Followers: 1)
BBR - Brazilian Business Review     Open Access   (Followers: 4)
Benchmarking : An International Journal     Hybrid Journal   (Followers: 10)
Benefit : Jurnal Manajemen dan Bisnis     Open Access   (Followers: 1)
BER : Consumer Confidence Survey     Full-text available via subscription   (Followers: 3)
BER : Economic Prospects : An Executive Summary     Full-text available via subscription  
BER : Economic Prospects : Full Survey     Full-text available via subscription   (Followers: 1)
BER : Intermediate Goods Industries Survey     Full-text available via subscription  
BER : Manufacturing Survey : Full Survey     Full-text available via subscription   (Followers: 1)
BER : Motor Trade Survey     Full-text available via subscription  
BER : Retail Sector Survey     Full-text available via subscription   (Followers: 1)
BER : Retail Survey : Full Survey     Full-text available via subscription   (Followers: 1)
BER : Survey of Business Conditions in Building and Construction : An Executive Summary     Full-text available via subscription   (Followers: 3)
BER : Survey of Business Conditions in Manufacturing : An Executive Summary     Full-text available via subscription   (Followers: 2)
BER : Survey of Business Conditions in Retail : An Executive Summary     Full-text available via subscription   (Followers: 3)
BER : Trends : Full Survey     Full-text available via subscription   (Followers: 1)
BER : Wholesale Sector Survey     Full-text available via subscription  
Berkeley Business Law Journal     Free   (Followers: 9)
Bio-based and Applied Economics     Open Access   (Followers: 1)
Biodegradation     Hybrid Journal   (Followers: 1)
Biology Direct     Open Access   (Followers: 7)
BizInfo (Blace) Journal of Economics, Management and Informatics     Open Access  
Black Enterprise     Full-text available via subscription  
Board & Administrator for Administrators only     Hybrid Journal  
Boletim Técnico do Senac     Open Access  
Border Crossing : Transnational Working Papers     Open Access   (Followers: 4)
Briefings in Real Estate Finance     Hybrid Journal   (Followers: 5)
British Journal of Industrial Relations     Hybrid Journal   (Followers: 36)
Brookings Papers on Economic Activity     Open Access   (Followers: 46)
Brookings Trade Forum     Full-text available via subscription   (Followers: 3)
BRQ Business Research Quarterly     Open Access   (Followers: 2)
Building Sustainable Legacies : The New Frontier Of Societal Value Co-Creation     Full-text available via subscription   (Followers: 1)
Bulletin of Economic Research     Hybrid Journal   (Followers: 17)
Bulletin of Geography. Socio-economic Series     Open Access   (Followers: 5)
Bulletin of Indonesian Economic Studies     Hybrid Journal   (Followers: 3)
Bulletin of the Dnipropetrovsk University. Series : Management of Innovations     Open Access   (Followers: 1)
Business & Entrepreneurship Journal     Open Access   (Followers: 19)
Business & Information Systems Engineering     Hybrid Journal   (Followers: 4)
Business & Society     Hybrid Journal   (Followers: 10)
Business : Theory and Practice / Verslas : Teorija ir Praktika     Open Access   (Followers: 1)
Business and Economic Research     Open Access   (Followers: 7)
Business and Management Horizons     Open Access   (Followers: 12)
Business and Management Research     Open Access   (Followers: 18)
Business and Management Studies     Open Access   (Followers: 11)
Business and Politics     Hybrid Journal   (Followers: 8)
Business and Professional Communication Quarterly     Hybrid Journal   (Followers: 7)
Business and Society Review     Hybrid Journal   (Followers: 5)
Business Economics     Hybrid Journal   (Followers: 9)
Business Ethics Quarterly     Full-text available via subscription   (Followers: 13)
Business Ethics: A European Review     Hybrid Journal   (Followers: 18)
Business Horizons     Hybrid Journal   (Followers: 8)
Business Information Review     Hybrid Journal   (Followers: 14)
Business Management and Strategy     Open Access   (Followers: 41)
Business Research     Hybrid Journal   (Followers: 2)
Business Strategy and the Environment     Hybrid Journal   (Followers: 13)
Business Strategy Review     Hybrid Journal   (Followers: 7)
Business Strategy Series     Hybrid Journal   (Followers: 6)
Business Systems & Economics     Open Access   (Followers: 2)
Business Systems Research Journal     Open Access   (Followers: 5)
Business, Management and Education     Open Access   (Followers: 17)
Business, Peace and Sustainable Development     Full-text available via subscription   (Followers: 3)
Bustan     Hybrid Journal  
Cadernos EBAPE.BR     Open Access   (Followers: 1)
Cambridge Journal of Economics     Hybrid Journal   (Followers: 61)
Cambridge Journal of Regions, Economy and Society     Hybrid Journal   (Followers: 10)
Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration     Hybrid Journal   (Followers: 1)
Canadian Journal of Economics/Revue Canadienne d`Economique     Hybrid Journal   (Followers: 29)
Canadian journal of nonprofit and social economy research     Open Access   (Followers: 2)
Capitalism and Society     Hybrid Journal   (Followers: 2)
Capitalism Nature Socialism     Hybrid Journal   (Followers: 17)
Case Studies in Business and Management     Open Access   (Followers: 10)
CBU International Conference Proceedings     Open Access   (Followers: 3)
Central European Business Review     Open Access   (Followers: 1)
Central European Journal of Operations Research     Hybrid Journal   (Followers: 5)
Central European Journal of Public Policy     Open Access   (Followers: 2)
CESifo Economic Studies     Hybrid Journal   (Followers: 17)
Chain Reaction     Full-text available via subscription  
Challenge     Full-text available via subscription   (Followers: 4)
China & World Economy     Hybrid Journal   (Followers: 15)
China : An International Journal     Full-text available via subscription   (Followers: 19)
China Economic Journal: The Official Journal of the China Center for Economic Research (CCER) at Peking University     Hybrid Journal   (Followers: 13)
China Economic Review     Hybrid Journal   (Followers: 10)
China Finance Review International     Hybrid Journal   (Followers: 5)
China Nonprofit Review     Hybrid Journal   (Followers: 3)
China perspectives     Open Access   (Followers: 12)
Chinese Economy     Full-text available via subscription  
Ciência & Saúde Coletiva     Open Access   (Followers: 2)
CLIO América     Open Access   (Followers: 1)
Cliometrica     Hybrid Journal   (Followers: 4)
COEPTUM     Open Access  
Community Development Journal     Hybrid Journal   (Followers: 27)
Compensation & Benefits Review     Hybrid Journal   (Followers: 7)
Competition & Change     Hybrid Journal   (Followers: 11)
Competitive Intelligence Review     Hybrid Journal   (Followers: 2)
Competitiveness Review : An International Business Journal incorporating Journal of Global Competitiveness     Hybrid Journal   (Followers: 5)
Computational Economics     Hybrid Journal   (Followers: 9)
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computer Law & Security Review     Hybrid Journal   (Followers: 17)
Computers & Operations Research     Hybrid Journal   (Followers: 12)
Construction Innovation: Information, Process, Management     Hybrid Journal   (Followers: 14)
Contemporary Wales     Full-text available via subscription   (Followers: 1)
Contextus - Revista Contemporânea de Economia e Gestão     Open Access   (Followers: 1)
Contributions to Political Economy     Hybrid Journal   (Followers: 5)
Corporate Communications An International Journal     Hybrid Journal   (Followers: 7)
Corporate Philanthropy Report     Hybrid Journal   (Followers: 2)
Corporate Reputation Review     Hybrid Journal   (Followers: 5)
Creative and Knowledge Society     Open Access   (Followers: 9)
Creative Industries Journal     Hybrid Journal   (Followers: 8)
CRIS - Bulletin of the Centre for Research and Interdisciplinary Study     Open Access   (Followers: 1)
Crossing the Border : International Journal of Interdisciplinary Studies     Open Access   (Followers: 5)
Cuadernos de Administración (Universidad del Valle)     Open Access   (Followers: 2)
Cuadernos de Economía     Open Access   (Followers: 2)
Cuadernos de Economia - Latin American Journal of Economics     Open Access   (Followers: 2)
Cuadernos de Estudios Empresariales     Open Access   (Followers: 2)

        1 2 3 4 5 6 | Last

Journal Cover Central European Journal of Operations Research
  [SJR: 0.837]   [H-I: 17]   [5 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1613-9178 - ISSN (Online) 1435-246X
   Published by Springer-Verlag Homepage  [2350 journals]
  • Extending the multi-criteria decision making method DEX with numeric
           attributes, value distributions and relational models
    • Authors: Nejc Trdin; Marko Bohanec
      Pages: 1 - 41
      Abstract: DEX is a qualitative multi-criteria decision analysis method. The method supports decision makers in making complex decisions based on multiple, possibly conflicting, attributes. The attributes in DEX have qualitative value scales and are structured hierarchically. The hierarchical topology allows for decomposition of the decision problem into simpler sub-problems. In DEX, alternatives are described with qualitative values, taken from the scales of corresponding input attributes in the hierarchy. The evaluation of alternatives is performed in a bottom-up way, utilizing aggregation functions, which are defined for every aggregated attribute in the form of decision rules. DEX has been used in numerous practical applications—from everyday decision problems to solving decision problems in the financial and ecological domains. Based on experience, we identified the need for three major methodological extensions to DEX: introducing numeric attributes, the probabilistic and fuzzy aggregation of values and relational models. These extensions were proposed by users of the existing method and by the new demands of complex decision problems, which require advanced decision making approaches. In this paper, we introduce these three extensions by describing the extensions formally, justifying their contributions to the decision making process and illustrating them on a didactic example, which is followed throughout the paper.
      PubDate: 2018-03-01
      DOI: 10.1007/s10100-017-0468-9
      Issue No: Vol. 26, No. 1 (2018)
  • Supply chain contracts for capacity decisions under symmetric and
           asymmetric information
    • Authors: Onur Kaya; Serra Caner
      Pages: 67 - 92
      Abstract: Production capacity decision under random demand is an important factor that significantly effects supply chain profits. It is realized in decentralized supply chains that the suppliers build capacity levels that are less than optimal for the total supply chain, since the supplier incurs all the cost and bears all the risk for the built capacity. To improve the supply chain performance, we analyze supply chain contracts considering capacity decisions in a two-party supply chain composed of a single manufacturer and a single supplier. We analyze and compare four well-known contracts, namely, simple wholesale price only contract, linear contract, cost sharing contract and revenue sharing contract under symmetric and asymmetric information about the supplier’s capacity building cost. The choice of the contract and determining the optimal contract parameters might be difficult for the manufacturer, especially if he has incomplete information about the supplier. In the asymmetric information models, we analyze the screening problem of the manufacturer when designing a menu of contracts without exact knowledge of the supplier’s capacity cost. We determine the optimal menu of contracts designed for both high and low cost suppliers and analyze their results through numerical experiments. Focusing on the capacity decisions under random demand, we aim to answer the three questions: (i) Which contracts coordinate the supply chain; (ii) Which contracts allow for any division of the supply chains profit among the firms; and (iii) Which contracts are worth adopting. We find the optimal contract parameters, determine the respective profits obtained by the supply chain members, and find which contracts would be better to use for the companies depending on the system parameters in different settings by analyzing and comparing the efficiencies of the contracts.
      PubDate: 2018-03-01
      DOI: 10.1007/s10100-017-0474-y
      Issue No: Vol. 26, No. 1 (2018)
  • Inventory control in dual sourcing commodity procurement with price
    • Authors: Karl Inderfurth; Peter Kelle; Rainer Kleber
      Pages: 93 - 119
      Abstract: In this paper, we focus on the role of inventory management as a means for operational hedging by dual sourcing of commodities using a multi-period option contract and spot market. We consider a manufacturing company in a make-to-stock environment with uncertain product demand. We replace the common i.i.d. price assumption that is typical in operations management studies by the mean reverting price model, a more realistic spot price model with inter-temporal price–price correlation. Additionally, we address the case where the spot price in one period is correlated with the demand in the previous period (demand–price correlation). The contribution of the paper is threefold. First, we reveal that price–price correlation has a considerable impact on the structural properties of optimal stock-keeping policies. Furthermore, we isolate two main effects of correlation in spot-price dynamics when selecting policy parameters: a variability effect, which increases the benefits from stock-keeping and lessens the usage of the option contract, and a counteracting correlation effect that exploits persistence of low/high spot price incidences. Finally, in a numerical study we show under which circumstances disregarding the correlation can result in large performance losses.
      PubDate: 2018-03-01
      DOI: 10.1007/s10100-017-0475-x
      Issue No: Vol. 26, No. 1 (2018)
  • Should business rely on business cycle forecasting'
    • Authors: Tobias F. Rötheli
      Pages: 121 - 133
      Abstract: We investigate the circumstances in which business cycle forecasting is beneficial for business by addressing both the short-run and the long-run aspects. For an assessment of short-run forecasting we make a distinction between using publicly available information of cycle probabilities and the use of resources to sharpen this outlook. A sharpened forecast can pay off because it helps the firm to optimally select its output mix. For a long-run perspective we show that firms whose optimal level of operation varies with varying selling prices gain from an accurate assessment of the likelihood of the states of expansion and recession. Petroleum refining in the U.S. is econometrically studied as an exemplary industry. The results document cyclical regularities that indicate that forecasting is advantageous for firms in this industry.
      PubDate: 2018-03-01
      DOI: 10.1007/s10100-017-0477-8
      Issue No: Vol. 26, No. 1 (2018)
  • Tight upper bounds for semi-online scheduling on two uniform machines with
           known optimum
    • Authors: György Dósa; Armin Fügenschuh; Zhiyi Tan; Zsolt Tuza; Krzysztof Węsek
      Pages: 161 - 180
      Abstract: We consider a semi-online version of the problem of scheduling a sequence of jobs of different lengths on two uniform machines with given speeds 1 and s. Jobs are revealed one by one (the assignment of a job has to be done before the next job is revealed), and the objective is to minimize the makespan. In the considered variant the optimal offline makespan is known in advance. The most studied question for this online-type problem is to determine the optimal competitive ratio, that is, the worst-case ratio of the solution given by an algorithm in comparison to the optimal offline solution. In this paper, we make a further step towards completing the answer to this question by determining the optimal competitive ratio for s between \(\frac{5 + \sqrt{241}}{12} \approx 1.7103\) and \(\sqrt{3} \approx 1.7321\) , one of the intervals that were still open. Namely, we present and analyze a compound algorithm achieving the previously known lower bounds.
      PubDate: 2018-03-01
      DOI: 10.1007/s10100-017-0481-z
      Issue No: Vol. 26, No. 1 (2018)
  • Investments in supplier-specific economies of scope with two different
           services and different supplier characters: two specialists
    • Authors: Günter Fandel; Jan Trockel
      Pages: 181 - 192
      Abstract: Firms have to choose their market positions. Suppliers can offer a wide range of services as generalists or they act as specialists by offering a small range of services. In this paper based on Chatain/Zemsky (Manag Sci 53:550–565, 2007) and Chatain (Strateg Manag J 32:76–102, 2011) we analyse how supplier-specific economies of scope generated by investments can compensate the loss occurring by a non-optimal organisational structure (resource configuration) of production. These considerations are modelled by a non-cooperative game with one buyer and two suppliers. We show how the buyer can gain from supplier-specific economies of scope. In this case, the buyer will never split the orders to both suppliers, i.e. he always should order one supplier, if the tasks have similar characteristics and the investment costs of a supplier result in higher specific economies of scope relevant to the choice of the buyer. The amount of the specific economies of scope determines to whom of the suppliers the buyer will place both orders. But, if the investment costs of the suppliers are very high and/or the gains of the buyer are rather low, the pure strategy combination “no investments” for the two suppliers will become the unique Nash equilibrium, whereby the buyer places the two orders each to the supplier who is the specialist for it.
      PubDate: 2018-03-01
      DOI: 10.1007/s10100-017-0483-x
      Issue No: Vol. 26, No. 1 (2018)
  • Time to dispense with the p -value in OR'
    • Authors: Marko Hofmann; Silja Meyer-Nieberg
      Pages: 193 - 214
      Abstract: Null hypothesis significance testing is the standard procedure of statistical decision making, and p-values are the most widespread decision criteria of inferential statistics both in science, in general, and also in operations research, in particular. p-values are of paramount importance in the life and human sciences, and dominate statistical summaries in natural and technical sciences as well as in operations research, a domain in which the p-value seems to be a common denominator for decision making based on samples. Yet, the use of significance testing in the analysis of research data has been criticized from numerous statisticians—continuously for almost 100 years. This criticism has recently (March 7, 2016) been given an official status by a statement from the American Statistical Association on p-values. Is it time to dispense with the p-value in OR' The answer depends on many factors, including the research objective, the research domain, and, especially, the amount of information provided in addition to the p-value. Despite this dependence from context three conclusions can be made that should concern the operational analyst: First, p-values can perfectly cast doubt on a null hypothesis or its underlying assumptions, but they are only a first step of analysis, which, stand alone, lacks expressive power. Second, the statistical layman almost inescapably misinterprets the evidentiary value of p-values. Third and foremost, p-values are an inadequate choice for a succinct executive summary of statistical evidence for or against a research question. In statistical summaries confidence intervals of standardized effect sizes provide much more information than p-values without requiring much more space.
      PubDate: 2018-03-01
      DOI: 10.1007/s10100-017-0484-9
      Issue No: Vol. 26, No. 1 (2018)
  • Heuristic algorithms for the minmax regret flow-shop problem with interval
           processing times
    • Authors: Michał Ćwik; Jerzy Józefczyk
      Pages: 215 - 238
      Abstract: An uncertain version of the permutation flow-shop with unlimited buffers and the makespan as a criterion is considered. The investigated parametric uncertainty is represented by given interval-valued processing times. The maximum regret is used for the evaluation of uncertainty. Consequently, the minmax regret discrete optimization problem is solved. Due to its high complexity, two relaxations are applied to simplify the optimization procedure. First of all, a greedy procedure is used for calculating the criterion’s value, as such calculation is NP-hard problem itself. Moreover, the lower bound is used instead of solving the internal deterministic flow-shop. The constructive heuristic algorithm is applied for the relaxed optimization problem. The algorithm is compared with previously elaborated other heuristic algorithms basing on the evolutionary and the middle interval approaches. The conducted computational experiments showed the advantage of the constructive heuristic algorithm with regards to both the criterion and the time of computations. The Wilcoxon paired-rank statistical test confirmed this conclusion.
      PubDate: 2018-03-01
      DOI: 10.1007/s10100-017-0485-8
      Issue No: Vol. 26, No. 1 (2018)
  • Scheduling non-critical activities using multicriteria approach
    • Authors: Krzysztof S. Targiel; Maciej Nowak; Tadeusz Trzaskalik
      Abstract: In many projects the problem of selecting the start time of a non-critical activity arises. Usually it is possible to use the “as soon as possible” or “as late as possible” rules. In some situations, however, the result of such a decision depends on external factors such as exchange rate. This leads to an approach in which the problem of scheduling non-critical activities is solved using an expanded Cox–Ross–Rubinstein (CRR) binomial tree method. In the paper a bi-criteria problem of determining the start time of a non-critical activity is considered. We assume that the early start and the late start of the activity have been identified using Critical Path Method, but the project manager is free to select the time when the activity will actually be started. This decision cannot, however, be changed later, as it is associated with the allocation of key resources. Two main criteria are considered: cost and risk. While cost depends on exchange rate, risk increases with the delay of the start of the activity. The problem can be described as a dynamic process. We propose a new interactive technique for solving such a bi-criteria decision making problem under risk. The procedure uses trade-offs to identify a candidate solution. The CRR binomial method is applied to evaluate the cost of the activity.
      PubDate: 2018-04-27
      DOI: 10.1007/s10100-018-0542-y
  • Emerging and innovative OR applications: a special issue in honor of
           Walter J. Gutjahr
    • Authors: Immanuel Bomze; Karl F. Dörner; Richard F. Hartl; Ulrike Leopold-Wildburger; Georg Pflug; Marion Rauner; Christian Stummer; Gernot Tragler; Tina Wakolbinger
      PubDate: 2018-04-21
      DOI: 10.1007/s10100-018-0541-z
  • A nonlinear state marginal price vector model for the task of business
           valuation. A case study: The dimensioning of IT-service companies under
           nonlinear synergy effects
    • Authors: Christian Toll; Olaf Kintzel
      Abstract: In the present contribution we present a nonlinear extension of the innovative linear investment-oriented company valuation method and so-called state marginal price vector model of Toll which represents a two-step procedure separated into a base and a valuation approach. As novel aspect we address nonlinear synergy effects in M&A’s. For this purpose we introduce a nonlinear framework within a semi-discrete convex optimization approach. As capital market assumption we simulate an imperfect market. To demonstrate the usefulness of the method, we address a case study of a merger of two IT-service companies. The related valuation and dimensioning of capacities is done by solving a multi-period newsvendor model under stochastic demand. The demonstrated nonlinear framework is shown to be suitable for a wide range of business valuation tasks.
      PubDate: 2018-04-19
      DOI: 10.1007/s10100-018-0535-x
  • Ranking of countries in sporting events using two-stage data envelopment
           analysis models: a case of Summer Olympic Games 2016
    • Authors: Josef Jablonsky
      Abstract: After important sport events as the Summer Olympic Games (SOG) are, the participating countries are ranked according to the number of gold, silver and bronze medals. A lexicographic ranking is usually applied in official reports which leads to higher ranking of countries with one gold and no other medals comparing to countries without any gold but with several silver or bronze medals. Moreover, this ranking does not take into account the specific conditions of the countries (population, economic strength measured by gross domestic product and tradition in sports). The aim of the paper is not only to evaluate the absolute achievements of the countries but evaluate their performance with respect to the resources they can spent. A two-stage data envelopment analysis model is formulated and solved by an original slack-based measure procedure. The first stage evaluates the performance of the countries in training of athletes and the second stage evaluates the achievements of the nominated athletes. The models with variable returns to scale and weight restrictions are applied. The models and their results are illustrated on the case of Olympic Games 2016 and compared with results given by traditional approaches.
      PubDate: 2018-04-12
      DOI: 10.1007/s10100-018-0537-8
  • An interactive approach to determine the elements of a pairwise comparison
    • Authors: József Temesi
      Abstract: The elicitation process, which provides initial data for further analysis in various decision making problems, can influence the final result (preference scores, weights). The elicitation process is crucial for getting consistent, near-consistent or inconsistent PCM. Decision support systems apply different approaches in practice. This paper aims at investigating two questions. Correction methods are interpreted and analyzed from the viewpoints of their philosophy and techniques to decrease the degree of inconsistency. On the other hand improving consistency in real-world decision problems is not possible without additional information from the decision maker. The proposed interactive method can be applied for individual decision making problems with verbal scale. The involvement of the decision maker and a heuristic rule can ensure that the process either provides a near-consistent and error-free PCM or demonstrates the inability of the decision maker to reach that goal.
      PubDate: 2018-04-11
      DOI: 10.1007/s10100-018-0539-6
  • Testing the robustness of deterministic models of optimal dynamic pricing
           and lot-sizing for deteriorating items under stochastic conditions
    • Authors: Maryam Ghoreishi
      Abstract: Many models within the field of optimal dynamic pricing and lot-sizing models for deteriorating items assume everything is deterministic and develop a differential equation as the core of analysis. Two prominent examples are the papers by Rajan et al. (Manag Sci 38:240–262, 1992) and Abad (Manag Sci 42:1093–1104, 1996). To our knowledge, nobody has ever tested whether the optimal solutions obtained in those papers are valid if the real system is exposed to randomness: with regard to demand process as well as with regard to the deterioration process. The motivation is that although the real world is indeed stochastic, it is often more convenient to work with a deterministic decision model providing a nice closed form solution. The crucial thing is of course whether the results derived in the deterministic setting are robust when tested in a stochastic environment. Therefore, in this paper, we will try to expose the model by Abad (1996) and Rajan et al. (1992) to stochastic inputs; however, designing these stochastic inputs such that they as closely as possible are aligned with the assumptions of those papers. We do our investigation through a numerical test where we test the robustness of the numerical results reported in Rajan et al. (1992) and Abad (1996) in a simulation model. Our numerical results seem to confirm that the results stated in these papers are indeed robust when being imposed to stochastic inputs.
      PubDate: 2018-04-09
      DOI: 10.1007/s10100-018-0538-7
  • Tight lower bounds for semi-online scheduling on two uniform machines with
           known optimum
    • Authors: György Dósa; Armin Fügenschuh; Zhiyi Tan; Zsolt Tuza; Krzysztof Węsek
      Abstract: This problem is about scheduling a number of jobs on two uniform machines with given speeds 1 and \(s\ge 1\) , so that the overall finishing time, i.e., the makespan, is earliest possible. We consider a semi-online variant (introduced for equal speeds) by Azar and Regev, where the jobs are arriving one after the other, while the scheduling algorithm knows the optimum value of the corresponding offline problem. One can ask how close any possible algorithm could get to the optimum value, that is, to give a lower bound on the competitive ratio: the supremum over ratios between the value of the solution given by the algorithm and the optimal offline solution. We contribute to this question by constructing tight lower bounds for all values of s in the intervals \([\frac{1+\sqrt{21}}{4},\frac{3+\sqrt{73}}{8}]\approx [1.3956,1.443]\) and \([\frac{5}{3},\frac{4+\sqrt{133}}{9}]\approx [\frac{5}{3},1.7258]\) , except a very narrow interval.
      PubDate: 2018-04-05
      DOI: 10.1007/s10100-018-0536-9
  • Why local air pollution is more than daily peaks: modelling policies in a
           city in order to avoid premature deaths
    • Authors: Doris A. Behrens; Olivia Koland; Ulrike Leopold-Wildburger
      Abstract: We use a predator–prey representation of an urban system to analyse how policy interventions can prevent the adverse effects of air pollution on people’s health. The number of residents is treated as prey variable, and particulate matter that consists of particles with a diameter of up to 10 micrometres (PM10) as predator variable. This representation allows integration of population trends and the effects of environmental interventions on the average level of PM10 concentration (which establishes a baseline for the potential health burden for residents). For the case of Graz, Austria, we illustrate the insights generated regarding the interdependency of market-based and technological pollution controls, and propose an indicator that assesses the cost of delayed interventions by counting additional premature deaths caused by polluted environments.
      PubDate: 2018-03-28
      DOI: 10.1007/s10100-018-0534-y
  • Sums of Hermitian squares decomposition of non-commutative polynomials in
           non-symmetric variables using NCSOStools
    • Authors: Kristijan Cafuta
      Abstract: Numerous applied problems contain matrices as variables, and the formulas therefore involve polynomials in matrices. To handle such polynomials it is necessary study non-commutative polynomials. In this paper we will present an algorithm and its implementation in the free Matlab package NCSOStools using semidefinite programming to check whether a given non-commutative polynomial in non-symmetric variables can be written as a sum of Hermitian squares.
      PubDate: 2018-03-13
      DOI: 10.1007/s10100-018-0533-z
  • An advanced decision support system for European disaster management: the
           feature of the skills taxonomy
    • Authors: Marion S. Rauner; Helmut Niessner; Steen Odd; Andrew Pope; Karen Neville; Sheila O’Riordan; Lisa Sasse; Kristina Tomic
      Abstract: Mankind has faced a huge increase in severe natural and man-made disasters worldwide in the last few years. Emergency responders on a strategic, tactical, and operational level can be assisted by decision support systems (DSS) to enhance disaster preparedness, response, and recovery. Policy makers are in need of an advanced, resilient and integrated incident command and control systems for emergency responders that incorporates health care-related features. To address this need, a DSS was developed in the European Union (EU) project named Securing Health.Emergency.Learning.Planning (S-HELP). Improving the health care delivery process through health care-related DSS features, the identification of key emergency responders and their associated tasks performed in preparedness, response, and recovery-related interventions is absolutely necessary. Thus, we establish a skills taxonomy for the S-HELP DSS Toolset “Decision Making Module” to interlink key emergency interventions/tasks with main national emergency responders supported by international emergency responders with a special focus on the EU. Furthermore, we provide an overview of which key emergency interventions/tasks can be covered by EU Civil Protection Modules by incorporating availability, start of operation, self-sufficiency, and operation time. This skills taxonomy for the S-HELP DSS Toolset “Decision Making Module” improves the interoperability of emergency responders when they cope with major disasters such as mass flooding, chemical spills, and biological-hazards policy scenarios that impact on health care. In the future, operation research models related to fields such as humanitarian logistics or disease control could be incorporated into or benefit from the S-HELP DSS.
      PubDate: 2018-03-13
      DOI: 10.1007/s10100-018-0528-9
  • Optimal investment and location decisions of a firm in a flood risk area
           using impulse control theory
    • Authors: Johanna Grames; Dieter Grass; Peter M. Kort; Alexia Prskawetz
      Abstract: Flooding events can affect businesses close to rivers, lakes or coasts. This paper provides an economic partial equilibrium model, which helps to understand the optimal location choice for a firm in flood risk areas and its investment strategies. How often, when and how much are firms willing to invest in flood risk protection measures' We apply Impulse Control Theory and develop a continuation algorithm to solve the model numerically. We find that, the higher the flood risk and the more the firm values the future, i.e. the more sustainable the firm plans, the more the firm will invest in flood defense. Investments in productive capital follow a similar path. Hence, planning in a sustainable way leads to economic growth. Sociohydrological feedbacks are crucial for the location choice of the firm, whereas different economic settings have an impact on investment strategies. If flood defense is already present, e.g. built up by the government, firms move closer to the water and invest less in flood defense, which allows firms to generate higher expected profits. Firms with a large initial productive capital surprisingly try not to keep their market advantage, but rather reduce flood risk by reducing exposed productive capital.
      PubDate: 2018-03-08
      DOI: 10.1007/s10100-018-0532-0
  • Long-term load forecasting: models based on MARS, ANN and LR methods
    • Authors: Gamze Nalcaci; Ayse Özmen; Gerhard Wilhelm Weber
      Abstract: Electric energy plays an irreplaceable role in nearly every person’s life on earth; it has become an important subject in operational research. Day by day, electrical load demand grows rapidly with increasing population and developing technology such as smart grids, electric cars, and renewable energy production. Governments in deregulated economies make investments and operating plans of electric utilities according to mid- and long-term load forecasting results. For governments, load forecasting is a vitally important process including sales, marketing, planning, and manufacturing divisions of every industry. In this paper, we suggest three models based on multivariate adaptive regression splines (MARS), artificial neural network (ANN) and linear regression (LR) methods to model electrical load overall in the Turkish electricity distribution network, and this not only by long-term but also mid- and short-term load forecasting. These models predict the relationship between load demand and several environmental variables: wind, humidity, load-of-day type of the year (holiday, summer, week day, etc.) and temperature data. By comparison of these models, we show that MARS model gives more accurate and stable results than ANN and LR models.
      PubDate: 2018-03-06
      DOI: 10.1007/s10100-018-0531-1
School of Mathematical and Computer Sciences
Heriot-Watt University
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