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O. Çobanlı (2014)
Central Asian gas in Eurasian power gameEnergy Policy, 68
J. Audy, S. D'Amours, Louis-Martin Rousseau (2010)
Cost allocation in the establishment of a collaborative transportation agreement—an application in the furniture industryJournal of the Operational Research Society, 62
Frederik Schulte, Eduardo Lalla-Ruiz, R. González-Ramírez, S. Voß (2017)
Reducing port-related empty truck emissions : A mathematical approach for truck appointments with collaborationTransportation Research Part E-logistics and Transportation Review, 105
J. Audy, S. D'Amours, M. Rönnqvist (2012)
An empirical study on coalition formation and cost/savings allocationInternational Journal of Production Economics, 136
S. Lozano, Placido Moreno, B. Adenso-Díaz, E. Durán (2013)
Cooperative game theory approach to allocating benefits of horizontal cooperationEur. J. Oper. Res., 229
Yong Wang, Xiaolei Ma, Mingwu Liu, Ke Gong, Yong Liu, Maozeng Xu, Yinhai Wang (2017)
Cooperation and profit allocation in two-echelon logistics joint distribution network optimizationAppl. Soft Comput., 56
Daisuke Nagayama, Masahide Horita (2014)
A network game analysis of strategic interactions in the international trade of Russian natural gas through Ukraine and BelarusEnergy Economics, 43
F. Hubert, O. Çobanlı (2014)
Pipeline Power: A Case Study of Strategic Network InvestmentsReview of Network Economics, 14
Mikael Frisk, Maud Göthe-Lundgren, K. Jörnsten, M. Rönnqvist (2006)
Cost Allocation in Collaborative Forest TransportationAgricultural & Natural Resource Economics
D. Schmeidler (1969)
The Nucleolus of a Characteristic Function GameSiam Journal on Applied Mathematics, 17
E. Orlova, F. Hubert (2012)
Competition or Countervailing Power for the European Gas Market
European Journal of Operational Research, 207
M. Guajardo, M. Rönnqvist (2016)
A review on cost allocation methods in collaborative transportationInt. Trans. Oper. Res., 23
Alireza Kabirian, M. Hemmati (2007)
A strategic planning model for natural gas transmission networksEnergy Policy, 35
M. Guajardo, M. Rönnqvist (2015)
Operations research models for coalition structure in collaborative logisticsEur. J. Oper. Res., 240
J. González-Díaz, E. Sánchez-Rodríguez (2007)
A natural selection from the core of a TU game: the core-centerInternational Journal of Game Theory, 36
O. Yilmaz, Seçil Savasaneril (2011)
Production , Manufacturing and Logistics Collaboration among small shippers in a transportation market
W. Sharkey (1996)
Cost allocation
A. Correljé (2016)
The European Natural Gas MarketCurrent Sustainable/Renewable Energy Reports, 3
F. Hubert, Svetlana Ikonnikova (2011)
Investment Options and Bargaining Power: The Eurasian Supply Chain for Natural GasInternational Trade eJournal
A. Hafezalkotob, A. Makui (2015)
Cooperative maximum-flow problem under uncertainty in logistic networksAppl. Math. Comput., 250
F. Cruijssen, M. Cools, W. Dullaert (2007)
Horizontal cooperation in logistics : Opportunities and impedimentsTransportation Research Part E-logistics and Transportation Review, 43
S. Tijs, T. Driessen (1986)
Game theory and cost allocation problemsManagement Science, 32
F. Cruijssen, Peter Bormb, Hein Fleuren, H. Hamers (2010)
Production , Manufacturing and Logistics Supplier-initiated outsourcing : A methodology to exploit synergy in transportation
Behzad Hezarkhani, M. Slikker, T. Woensel (2016)
A competitive solution for cooperative truckload deliveryOR Spectrum, 38
M. Guajardo, K. Jörnsten, M. Rönnqvist (2016)
Constructive and blocking power in collaborative transportationOR Spectrum, 38
P. Flisberg, Mikael Frisk, M. Rönnqvist, M. Guajardo (2015)
Potential savings and cost allocations for forest fuel transportation in Sweden: A country-wide studyEnergy, 85
E. Pérez-Bernabeu, A. Juan, J. Faulin, Barry Barrios (2015)
Horizontal cooperation in road transportation: a case illustrating savings in distances and greenhouse gas emissionsInt. Trans. Oper. Res., 22
Qiong Wu, H. Ren, Weijun Gao, Jian-xing Ren, Changshi Lao (2017)
Profit allocation analysis among the distributed energy network participants based on Game-theoryEnergy, 118
H. Cremer, J. Laffont (2002)
Competition in gas marketsEuropean Economic Review, 46
European Journal of Operational Research, 205
Feng Yang, Mingming Yang, Qiong Xia, L. Liang (2016)
Collaborative distribution between two logistics service providersInt. Trans. Oper. Res., 23
Bo Dai, Haoxun Chen (2012)
Profit allocation mechanisms for carrier collaboration in pickup and delivery serviceComput. Ind. Eng., 62
A. Geller, R. Schmidgall (1980)
Cost AllocationCornell Hotel and Restaurant Administration Quarterly, 21
H. Young (1994)
Chapter 34 Cost allocationHandbook of Game Theory With Economic Applications, 2
Fotios Thomaidis, P. Konidari, D. Mavrakis (2008)
The wholesale natural gas market prospects in the Energy Community Treaty countriesOperational Research, 8
Svetlana Ikonnikova, Gijsbert Zwart (2014)
TRADE QUOTAS AND BUYER POWER, WITH AN APPLICATION TO THE E.U. NATURAL GAS MARKETJournal of the European Economic Association, 12
European Journal of Operational Research, 218
PurposeOver the past two decades, in developed countries a trend towards the liberalization and restructuring of the gas market has been observed. Today, restructuring is an ongoing process. In this study, a restructured natural gas market has been considered in which several regional distribution companies have ownership of the network and are competing against each other to gain more benefits. The main purpose of this study is to achieve efficiency and economic rationality in such a market through horizontal cooperation.Design/methodology/approachA restructured natural gas distribution network is modeled as a cooperative game to estimate the potential cost savings for various collaboration scenarios. In addition, the cost savings’ allocation among collaborating companies is evaluated using the cooperative game theory.FindingsThe results reveal validity and efficiency of the solution of the proposed model and capabilities of the cooperative game theory for reduction in gas distribution costs and improvement in the service level.Research limitations/implicationsThis study is limited to natural gas in one region of Yazd City in Iran. Moreover, one segment of the natural gas network (i.e. distribution network) is modeled. Moreover, long-term cooperation between companies relies on fair distribution of cooperation benefits to the participants.Practical implicationsFor the purpose of comparison and to get an insight into properties of the cost savings game, the real case study of one region of Yazd city in Iran is implemented.Originality/valueThis study contributes to the competitive models in the restructured gas market, particularly, in gas distribution network. The main contribution is to provide potential benefits for the participants via the horizontal cooperation.
Kybernetes – Emerald Publishing
Published: Jun 4, 2018
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