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Time-based combinatorial auction for timber allocation and delivery coordination
Institution:1. École Polytechnique de Montréal, Département de mathématiques et génie industriel, 2500, chemin de Polytechnique, Montréal, Québec H3T 1J4, Canada;2. Université Laval, Département des sciences du bois et de la forêt, Faculté de foresterie, de géographie et de géomatique Québec, Québec G1V 0A6, Canada;1. European Forest Institute (EFI), Foresight and Policy Support Programme, Yliopistokatu 6, 80100 Joensuu, Finland;2. University of Eastern Finland (UEF), School of Forest Sciences, Yliopistokatu 7, 80111 Joensuu, Finland;3. University of Eastern Finland (UEF), Department of Law, Yliopistokatu 2, 80100 Joensuu, Finland;1. Department of Geosciences and Natural Resource Management, University of Copenhagen, Rolighedsvej 23, DK-1958 Frederiksberg, Denmark;2. Department of Food and Resource Economics, University of Copenhagen, Rolighedsvej 23, DK-1958 Frederiksberg, Denmark;3. Centre for Macroecology, Evolution and Climate, University of Copenhagen, Rolighedsvej 23, DK-1958 Frederiksberg, Denmark;1. TERI University, 10 Institutional Area, Vasant Kunj, 110070 New Delhi, India;2. Nivalp SA, Forest and Environment Office, Grimisuat, Switzerland;3. ETH, Zürich, Switzerland;1. Forest and Nature Conservation Policy Group (FNP), Wageningen University, PO Box 338, 7600 AH Wageningen, The Netherlands;2. Institut de Recherche pour le Développement (IRD), 911, avenue Agropolis, PO Box 64501, F-34394 Montpellier cedex 5, France;3. Center for International Forestry Research (CIFOR), Central Africa Regional Office, PO Box 2008, Messa, Yaoundé, Cameroon;4. Sustainable Markets & Chains Group, Agricultural Economics Institute (LEI), Wageningen University, PO Box 29703, 2502 LS, Den Haag, The Netherlands;5. Makala Project, c/o FHS, 75 Avenue des Sénégalais, Kinshasa, Gombe, Democratic Republic of Congo DRC;1. Rocky Mountain Research Station, US Forest Service, 200 E Broadway, Missoula, MT 59807, USA;2. Rocky Mountain Research Station, US Forest Service, 5775 Highway 10 West, Missoula, MT 59808, USA;3. School of Risk Management, Insurance and Actuarial Science, St. John''s University, 101 Murray St 426, Manhattan, NY 10007, USA;4. Department of Actuarial Science, Risk Management and Insurance, University of Wisconsin, 975 University Ave, Madison, WI 53706, USA
Abstract:The timber auction system currently used in the province of Québec, Canada, is a single unit auction, in which timber users bid on the entire forest stands located within a specific area. In this procurement system, timber users (i.e., winners) are responsible for harvesting the entire stands and for reselling undesirable timber species to others. In order to improve the limits of this system, this paper proposes a sustainable auction system, referred to as time-based timber combinatorial auction. In this approach, time is not part of the definition of the goods for sale. It is used to valuate the good for sale with respect to their expected delivery period. Therefore, this system aims to simultaneously allocate multiple goods, or products in mixed forest stand, to multiple winners, and address the coordination of timber deliveries to their winners. The proposed timber combinatorial auction provides an open access allocation of timber, based on its intrinsic economic value, while allowing the Ministry of natural resources to exercise high standard for environmentally friendly forest operations. From a logistic point of view, a sensitive analysis is conducted in order to compare the proposed time-based combinatorial auction with a combinatorial auction with no delivery coordination. Both models are compared according to bidders' and seller's time flexibility. Experimental results illustrate the impact (i.e., cost) of delivery coordination on total revenue due to loss of value when time preference is not fully satisfied. This cost evaluation can then be used as an upper bound of the cost of coordination, when delivery coordination must be manually negotiated among multi-stakeholders.
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