Incentive-compatible cost allocations for inventory games with private information

被引:1
|
作者
Zeng, Yinlian [1 ]
Wang, Siyi [2 ]
Cai, Xiaoqiang [3 ,4 ]
Zhang, Lianmin [4 ]
机构
[1] Shenzhen Technol Univ, Coll Urban Transportat & Logist, Shenzhen 518118, Peoples R China
[2] Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Peoples R China
[3] Chinese Univ Hong Kong, Sch Data Sci, Shenzhen 518172, Peoples R China
[4] Shenzhen Res Inst Big Data, Shenzhen 518172, Peoples R China
基金
中国国家自然科学基金;
关键词
Inventory games; Incentive compatibility; Budget balance; Individual rationality; Polynomial approximations; COOPERATION; DESIGN;
D O I
10.1016/j.orl.2024.107073
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper we design cost allocation rules for inventory games with private information. First, we design incentive -compatible cost allocation rules for inventory games with private information via Vickrey-Clarke-Groves (VCG) rules. Then, we propose incentive -compatible and approximate budgetbalanced cost allocations via polynomial approximations such as the Chebyshev approximation and the Taylor approximation. In addition, we propose an incentive -compatible cost allocation with individual rationality. Finally, we conduct numerical experiments to compare the performance of the proposed cost allocations. (c) 2024 Elsevier B.V. All rights reserved.
引用
收藏
页数:8
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