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  • 1.
    Chinchuluun, Altannar
    et al.
    University of Florida.
    Karakitsiou, Athanasia
    Department of Production Engineering and Management, Technical University of Crete.
    Migdalas, Athanasios
    Department of Production Engineering and Management, Technical University of Crete.
    Mavrommati, Athanasia
    Department of Production Engineering and Management, Technical University of Crete.
    Game Theory Models and their Application in Inventory Management and Supply Chain2008In: Pareto Optimality, Game Theory And Equilibria, New York: Encyclopedia of Global Archaeology/Springer Verlag, 2008, p. 833-865Chapter in book (Refereed)
    Abstract [en]

    Analysis of supply chain politics can benefit from applying game-theory concepts extensively. Game theory tries to enlighten the interactions between individuals or groups of people whose goals are opposed conflicting, or at least partially competing. In this chapter, we review classic game theoretical approaches to modeling and solving certain problems in supply chain management. Both noncooperative and cooperative models are discussed and solution procedures are presented in single-period and multiperiod settings. As used here, a “game” is a metaphor for any interaction among the decision makers in a supply chain.

  • 2.
    Karakitsiou, Athanasia
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Competitive Facility Location with Competition of Customers2015In: Modeling Discrete Competitive Facility Location, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015, p. 41-49Chapter in book (Refereed)
    Abstract [en]

    The research work dealing with the competitive location problems is limited only to the competition among the locators, that is, it is supposed that either both the locator and the allocator are the same or the customer knows the optimality criterion of the locator and agrees passively with it. Customers preferences as well as externalities (such as road congestion, facility congestion, emissions, etc.) caused by the location decisions are either ignored or “controlled” by incorporating constraints in order to “ensure” the achievement of a predetermined target. However, this approach treats customers as irresolute beings. Thus, if, for example, the customers travel to the facilities to obtain the offered service, then there is no compulsion or incentive for them to attend the designated facility. This means that, once the facilities are open, what the locator wishes the customers to do may not coincide with their own wish and behavior.

  • 3.
    Karakitsiou, Athanasia
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Discrete Competitive Facility Location: Modeling and Optimization Approaches2015In: Optimization, Control, and Applications in the Information Age: In Honor of Panos M. Pardalos’s 60th Birthday / [ed] Athanasios Migdalas ; Athanasia Karakitsiou, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015, p. 153-169Conference paper (Refereed)
    Abstract [en]

    Competitive facility location problems are concerned with the following situation: a firm wants to locate a predefined number of facilities to serve customers located in some region where there already exist (or will be) other firms offering the same service. Both new and existing firms compete for optimizing their market share of profit. A discrete version of such problems arises when it is assumed that there are a (rather small) finite number of candidate locations and the markets consist of point demands. We review modeling and optimization approaches for this type of problems and we emphasize and develop the bi-level programming methodology.

  • 4.
    Karakitsiou, Athanasia
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Introduction2015Other (Other academic)
  • 5.
    Karakitsiou, Athanasia
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Modeling Discrete Competitive Facility Location2015Book (Refereed)
  • 6.
    Karakitsiou, Athanasia
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Sequential Competitive Facility Location Problems2015In: Modeling Discrete Competitive Facility Location, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015, p. 15-32Chapter in book (Refereed)
    Abstract [en]

    The formalization of this class of problem and the fundamental complexity results were established by Hakimi [28]. Following the game introduced by von Stackelberg [76], Hakimi [28] presented the two basic problems in sequential location analysis, the centroid and medianoid problems. These two problems are faced by the leader and the follower, respectively. The leader attempts to locate p( ≥ 1) facilities knowing that a follower will in turn locate his r( ≥ 1) facilities based on the leader’s chosen locations; this is the (r | p)-centroid problem. The follower knows the set X p that indicates where the leader’s facilities are located, and solves an (r | X p )-medianoid problem. Customers choose among the facilities according to a function of the distance between themselves and the facilities, preferring always the closest. This is the so-called binary customer choice. The formulation of the problems is based on the assumption that co-location is not allowed and if, by any chance the distance from a customer to the closest facility of the two competitors is the same, the customer always prefers the leader’s facility. The demand of the customer is also considered to be inelastic with respect to the distance traveled.

  • 7.
    Karakitsiou, Athanasia
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Service quality assessment in retail industry: some evidence from supermarkets in Greece2014Conference paper (Refereed)
  • 8.
    Karakitsiou, Athanasia
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Simultaneous Competitive Facility Location Models2015In: Modeling Discrete Competitive Facility Location, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015, p. 33-39Chapter in book (Refereed)
    Abstract [en]

    The research effort of this body of literature aims at developing insights concerning the equilibrium pattern of location decisions and their stability. Another subject that is addressed by several authors is the existence or (not) of a set of locations and pricing or production quantities that will ensure a Nash equilibrium, that is, a position where neither firms have incentives to move.

  • 9.
    Karakitsiou, Athanasia
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Static Competitive Facility Location Problems2015In: Modeling Discrete Competitive Facility Location, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2015, p. 5-13Chapter in book (Refereed)
    Abstract [en]

    In this section we review some of the most important contribution to the field of static competitive facility location problem. The main assumptions of the models presented in this section can be summarized as follows: – the existing competition is known and fixed,– the product sold is homogeneous,– the customers’ decision in patronizing the facility is based entirely on the distance traveled.– the unit costs are the same in all stores regardless of ownership

  • 10.
    Karakitsiou, Athanasia
    et al.
    Department of Business Administration, Educational Techological Institute of Serres.
    Mavrommati, Athanasia
    Department of Production Engineering and Management, Technical University of Crete.
    Advalorem and Royalty Licensing Under Decreasing Returns to Scale2013In: Asian Journal of Business and Management, ISSN 2321-2802, Vol. 1, no 1, p. 14-20Article in journal (Refereed)
    Abstract [en]

    In this paper we study the licensing of a cost reducing innovation by an internal patentee. The analysis considers a Cournot duopoly characterized by non-constant returns to scale. The patentee chooses strategically whether to charge a per-unit or an ad-valorem royalty to the other firm in the industry. Our results indicate that an internal innovator may generate different incentives for his licensing contract depending on the cost reduction imposed by the use of the new technology

  • 11.
    Karakitsiou, Athanasia
    et al.
    DSS Laboratory Department of Production and Industrial Engineering, Technical University of Crete.
    Mavrommati, Athanasia
    Department of Production Engineering and Management, Technical University of Crete.
    Measuring large firm’s Profitability with Panel Data Models: . Application to Greek Food Industry2009In: Journal of Financial Decision Making, Vol. 1, p. 98-115Article in journal (Refereed)
    Abstract [en]

    The purpose of this paper is to examine the performance of several sectors of the Greek food industry in terms of profitability which is the measure of a firm’s performance in the market. This paper empirically investigates the determinants of profitability for a statistically significant sample of large Greek firms for the years 1998-2005. Various potential determinants are investigated including: market share, industry concentration, capital intensity, the growth of the industry, firm leverage and firm age. We provide the profitability panel data model and factors affecting it, placing emphasis on the combination of the independent variables and in the sample of the observations. Data was provided from I.C.A.P. for the 55 largest companies according to their size in the sector.

  • 12.
    Karakitsiou, Athanasia
    et al.
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Mavrommati, Athanasia
    Department of Economics, University of Ioannina.
    Optimal Two-Part Tariff Licensing under Returns to Scale2015In: Asian Journal of Business and Management, ISSN 2321-2802, Vol. 3, no 1, p. 77-83Article in journal (Refereed)
    Abstract [en]

    In this study we investigate a two-part tariff licensing contract that enables an incumbent innovator to license a cost reducing innovation in a Cournot duopoly characterized by non-

  • 13.
    Karakitsiou, Athanasia
    et al.
    DSS Laboratory Department of Production and Industrial Engineering, Technical University of Crete.
    Mavrommati, Athanasia
    Department of Production Engineering and Management, Technical University of Crete.
    Migdalas, Athanasios
    DSS Laboratory Department of Production and Industrial Engineering, Technical University of Crete.
    Efficient Minimization over Products of Simplices and its Application to Nonlinear Multicommodity Network Problems2005In: Operational Research, ISSN 1109-2858, E-ISSN 1866-1505, Vol. 4, no 2, p. 99-118Article in journal (Refereed)
    Abstract [en]

    Many problems in portfolio selection, in traffic planning and in computer communicationnetworks can be formulated as nonlinear problems involving minimization of a nonlinearfunction over simplices. Based on the concepts of regularization and partial linearization, wepropose an efficient solution technique for such programs, prove its global convergence anddiscuss the possibilities for parallel implementation. We provide, as an application, analgorithm for traffic assignment which outperforms previous state-of-the-art codes

  • 14.
    Karakitsiou, Athanasia
    et al.
    Department of Mathematics, Linköping Institute of Technology.
    Mavrommati, Athanasia
    Department of Production Engineering and Management, Technical University of Crete.
    Migdalas, Athanasios
    Department of Mathematics, Linköping Institute of Technology.
    Measuring Production Efficiency in the Greek Food Sector2004In: Supply Chain and Finance, Singapore: World Scientific and Engineering Academy and Society, 2004, p. 138-150Chapter in book (Refereed)
  • 15.
    Karakitsiou, Athanasia
    et al.
    Department of Production Engineering and Management, Technical University of Crete.
    Mavrommati, Athanasia
    Department of Production Engineering and Management, Technical University of Crete.
    Migdalas, Athanasios
    Department of Production Engineering and Management, Technical University of Crete.
    Tsiakali, Konstantina
    Department of Production Engineering and Management, Technical University of Crete.
    Customer Satisfaction Evaluation in the Tourism Industry: A case study of Chania2007In: Foundations of Computing and Decision Sciences, ISSN 0867-6356, Vol. 32, p. 111-123Article in journal (Refereed)
  • 16.
    Karakitsiou, Athanasia
    et al.
    Department of Production Engineering and Management, Technical University of Crete.
    Mavrommati, Athanasia
    Department of Production Engineering and Management, Technical University of Crete.
    Migdalas, Athanasios
    Department of Production Engineering and Management, Technical University of Crete.
    Tsiakali, Konstantina
    Department of Production Engineering and Management, Technical University of Crete.
    Effieciency Measurment and Evalution of the Greek Hotel Industry2007In: Journal of Travel and Tourism Reasearch, Vol. 7, p. 96-110Article in journal (Refereed)
  • 17.
    Karakitsiou, Athanasia
    et al.
    Department of Business Administration, Technological Educational Institute of Central Macedonia.
    Migdalas, Athanasios
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Convex optimization problems in supply chain planning and their solution by a column generation method based on the Frank Wolfe method2016In: Operational Research, ISSN 1109-2858, E-ISSN 1866-1505, Vol. 16, no 3, p. 401-421Article in journal (Refereed)
    Abstract [en]

    Many problems in supply chain optimization concern the minimization of a differentiable convex objective function subject to a set of linear constraints. The aim of this work is to present a number of such problems and to propose an efficient method for their solution. The proposed method is based on improvements of the well known Frank–Wolfe algorithm. The computational results of the proposed algorithm demonstrate its effectiveness and efficiency

  • 18.
    Karakitsiou, Athanasia
    et al.
    DSS Laboratory Department of Production and Industrial Engineering, Technical University of Crete.
    Migdalas, Athanasios
    DSS Laboratory Department of Production and Industrial Engineering, Technical University of Crete.
    Decentralized Coordination Mechanism for Integrated Production Transportation Inventory Problem in the Supply Chain using Lagragian Relaxation2008In: Operational Research, ISSN 1109-2858, E-ISSN 1866-1505, Vol. 8, no 3, p. 257-278Article in journal (Refereed)
    Abstract [en]

    This paper is concerned with integrated production, inventory and transportation planning problems directly related to the supply chain management. We establish a Lagrangian based coordination mechanism within the context of the decentralized planning approach. In addition, we demonstrate that dual prices obtained by the described approach might provide enough accuracy in case of sudden changes, such as in a customer’s demand, and thus they could assist agents to find new solutions. Computational results show that the proposed mechanism is able to help organizations to facilitate collaboration, improve business agility and meet business goals

  • 19.
    Karakitsiou, Athanasia
    et al.
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Migdalas, Athanasios
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Discrete bi-level facility models with competing customers2015Conference paper (Refereed)
    Abstract [en]

    The research work dealing with the bi-level formulation of location problems is limited only to the competition among the locators, that is it is supposed that either both the locator and the allocator are the same or the customer (i.e., the user as a whole) knows the optimality criterion of the locator and agrees assively with it. Customers' preferences as well as externalities (such as roadcongestion, facility congestion, emissions etc) caused by the location decisions are either ignored or controlled by incorporating constraints in order to ensure the achievement of a predetermined target. However, this approach treats customers as irresolute beings. Thus, if, for example, the customers travel to the facilities to obtain the offered service, then there is no compulsion or intensive for them to attend the designated facility. This means that, once the facilities are open, what the locator wishes the customers to do may not coincide with their own wish and behavior. We suppose that the customers are involved in a Nash game in order to ensure what they conceive as the best level of services for themselves. In order to take into consideration the effects of such competition in the facilities location decisions we propose a bi-level programming approach to the problem.

  • 20.
    Karakitsiou, Athanasia
    et al.
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Migdalas, Athanasios
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Discrete compettitive facility location: Modelling and optimization approaches2014Conference paper (Refereed)
    Abstract [en]

    Competitive facility location problems are concerned with thefollowing situation: a firm wants to locate a predefined num-ber of facilities to serve customers locate in some region wherethere already exist (or will be) other firms offering the sameservice. Both new and existing firms compete for optimizingtheir market share of profit. A discrete version of such problemsarises when it is assumed that there is a ( rather small ) finitenumber of candidate locations and the markets consist of pointdemands. We review modelling and optimization approaches forthis type of problems and we emphasize and develop the bi-levelprogramming methodology.

  • 21.
    Karakitsiou, Athanasia
    et al.
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Migdalas, Athanasios
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Locating facilities in a competitive environment2017In: Optimization Letters, ISSN 1862-4472, E-ISSN 1862-4480, Vol. 11, no 5, p. 929-945Article in journal (Refereed)
    Abstract [en]

    The research work dealing with the bi-level formulation of location problems is limited only to the competition among the locators, that is, it is supposed that either both the locator and the allocator are the same or the customer knows the optimality criterion of the locator and agrees passively with it. Customers’ preferences as well as externalities (such as road congestion, facility congestion, emissions etc) caused by the location decisions are either ignored or controlled by incorporating constraints in order to ensure the achievement of a predetermined target. However, this approach treats customers as irresolute beings. Thus, if, for example, the customers travel to the facilities to obtain the offered service, then there is no compulsion or intensive for them to attend the designated facility. This means that, once the facilities are open, what the locator wishes the customers to do may not coincide with their own wish and behavior. We suppose that the customers are involved in a Nash game in order to ensure what they conceive as the best level of services for themselves. In order to take into consideration the effects of such competition in the facilities location decisions we propose a bi-level programming approach to the problem.

  • 22.
    Karakitsiou, Athanasia
    et al.
    Department of Production Engineering and Management, Technical University of Crete.
    Migdalas, Athanasios
    Department of Production Engineering and Management, Technical University of Crete.
    Optimization and Coordination for Linear Integrated Production, Inventory and Transportation Planning in Supply Chain by Decomposition Methods2006In: 18th National Conference on Planning: Information Retrieval and Knowledge Management / [ed] George Evagelidis ; L. Karamitopoulos; Dimitris Dervos, 2006, p. 673-687Conference paper (Refereed)
  • 23.
    Karakitsiou, Athanasia
    et al.
    DSS Laboratory Department of Production and Industrial Engineering, Technical University of Crete.
    Migdalas, Athanasios
    DSS Laboratory Department of Production and Industrial Engineering, Technical University of Crete.
    Quantitative Inventory Modelling and Future Trends in Supply Chain Management2002In: Financial Engineering, ECommerce and Supply Chain, Encyclopedia of Global Archaeology/Springer Verlag, 2002, p. 271-293Chapter in book (Refereed)
    Abstract [en]

    There is a trend in coordinating all the firm’s activities as an integrated system called supply chain. However, the treatment of inventories remains of high interest in all enterprises within this framework. Inventory is a major investment in most companies and it influences their flexibility and success. Traditionally, a large number of research activities have been focused on finding the best answer to the two basic questions concerning inventory management, i.e., when and how much to order. The majority of those research works have used quantitative methods to find the optimal solution. However, in recent years, because of innovations in technology, changes in customer expectations, and availability of new methods of production, attention has been attracted to a philosophy, also known as the JIT method, which considers inventory as a waste. The purpose of this paper is to present a paradigm of classical mathematical inventory models, to give a short review of their evolution into more realistic representations of the inventory system, and to discuss new trends in and the future of inventory management in the era of globalization and networking

  • 24.
    Migdalas, Athanasios
    et al.
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Karakitsiou, Athanasia
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Preface2015Other (Other academic)
    Abstract [en]

    During June 15–20, 2014, a group of scientists gathered together in a conferenceon “Optimization, Control and Applications in the Information Age” in order tocelebrate and honor Panos M. Pardalos on the occasion of his 60th birthday. Themeeting took place at theMeliton Hotel of Porto Carras on the middle leg (Sithonia)of the Chalkidiki peninsula in Macedonia, northern Greece, a place of exquisitebeauty and one of Panos’s favorite places. The conference was organized by SergiyButenko and Athanasios Migdalas and was attended by scientists from all over theworld. More than 50 members of this “Panos’s club” presented talks during thisevent.This volume is dedicated to Panos M. Pardalos, on the occasion of his 60thbirthday. The articles collected in this volume are based on selected talks presentedduring the conference. Several members of the Panos’s club could not attendconference, but have submitted their papers to this volume in order to honor him.The papers published in this volume cover a wide range of topics and presentrecent developments and surveys in research fields to which Pardalos has activelycontributed and promoted during his career.In addition, Panos’s spouse, Rosemary Bakker, has written a brief biographydescribing Panos’s exciting journey from a pastoral village on the high mountainsin Thessaly, central Greece, to a Distinguished Professorship at the University ofFlorida, that is, Panos’s own Odyssey. We therefore dedicate to him the first versesof Homer’s Odyssey and Cavaphes’ poem “Ithaka” believing that they accuratelydescribe Panos’s past, his present, and his future discovery voyages.We are indebted to Springer publishers and particularly to Razia Amzad for theirsupport in making the publication of this volume possible.

1 - 24 of 24
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