A Contribution-based Model for Space Launch Systems Allocation

被引:0
|
作者
Deng, Fei [1 ]
Liu, Sifeng [1 ]
Qiu, Luyun [1 ]
Wang, Huan [2 ]
Yang, Yingjie [3 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 210000, Peoples R China
[2] Nanjing Normal Univ, Ginling Coll, Nanjing 210000, Peoples R China
[3] De Montfort Univ, Inst Artificial Intelligence, Sch Comp Sci & Informat, Leicester LE1 1AA, Leics, England
来源
JOURNAL OF GREY SYSTEM | 2023年 / 35卷 / 03期
基金
中国国家自然科学基金;
关键词
Grey Theory; Fusion Procedure; Forecasting; E-commerce Service Industry; DECISION-MAKING METHOD; SHARED COSTS; QUALITY;
D O I
暂无
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Cost allocation is a critical part of the space launch system R&D stage of cost control. There exists a central challenge that the efficiency (also called input-output ratio) is difficult to obtain due to the uncontrollable input, long R&D cycle, and unpredictable output. Therefore, in order to obtain effective cost allocation strategies in practice, this paper proposes an improved contribution-based cost allocation method according to the measurable contribution of each team, bypassing calculating the uncertainty efficiency. First, a grey relational clustering-based evaluation system i developed to assess the contribution of the R&D team. Then, the real circumstances are examined, and four popular categories of launch tasks are identified. Next, the BWM rnethod is employed to identify cost a/location strategies that align with the requirements of each of the four launch missions. Finally, comparative analyses with DEA and Costing method demonstrate the superiority of the proposed rnethod in terms of accuracy and efficiency.
引用
收藏
页码:139 / 156
页数:18
相关论文
共 50 条
  • [1] Marginal Contribution-Based Distributed Subchannel Allocation in Small Cell Networks
    Shah, Shashi
    Kittipiyakul, Somsak
    Lim, Yuto
    Tan, Yasuo
    SENSORS, 2018, 18 (05)
  • [2] Contribution-Based Firing of Developers?
    Orrei, Vincenzo
    Raglianti, Marco
    Nagy, Csaba
    Lanza, Michele
    PROCEEDINGS OF THE 31ST ACM JOINT MEETING EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING, ESEC/FSE 2023, 2023, : 2062 - 2066
  • [3] Contribution-based User Reputation Modeling in Collaborative Recommender Systems
    Hu, Wei
    Zhang, Yaoxue
    Zhou, Yuezhi
    Xue, Zhi
    2012 9TH INTERNATIONAL CONFERENCE ON UBIQUITOUS INTELLIGENCE & COMPUTING AND 9TH INTERNATIONAL CONFERENCE ON AUTONOMIC & TRUSTED COMPUTING (UIC/ATC), 2012, : 172 - 179
  • [4] Energy Allocation of the Community Energy Storage System: A Contribution-Based Incentive Mechanism
    Hussain, Akhtar
    Musilek, Petr
    2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM, 2023,
  • [5] A contribution-based service differentiation scheme for peer-to-peer systems
    Loubna Mekouar
    Youssef Iraqi
    Raouf Boutaba
    Peer-to-Peer Networking and Applications, 2009, 2 : 146 - 163
  • [6] A contribution-based service differentiation scheme for peer-to-peer systems
    Mekouar, Loubna
    Iraqi, Youssef
    Boutaba, Raouf
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2009, 2 (02) : 146 - 163
  • [7] A dynamic expert contribution-based consensus model for hesitant fuzzy group decision making with an application to water resources allocation selection
    Yejun Xu
    Xia Liu
    Lizhong Xu
    Soft Computing, 2020, 24 : 4693 - 4708
  • [8] Influence of contribution-based resource allocation mechanism on individual resource sharing cooperation in social networks
    Cui, Guanghai
    Wang, Zhen
    Dong, Ling
    Cao, Xiaoli
    Liu, Yue
    Zhang, Zhiwang
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2019, 30 (12):
  • [9] Enhancing Fairness in Federated Learning: A Contribution-Based Differentiated Model Approach
    Wan, Tao
    Deng, Xianqing
    Liao, Weichuan
    Jiang, Nan
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2023, 2023
  • [10] Contribution-Based Resource Allocation for Effective Federated Learning in UAV-Assisted Edge Networks
    Xiong, Gang
    Guo, Jincheng
    SENSORS, 2024, 24 (20)