Effects of different resource-sharing strategies in cloud manufacturing: a Stackelberg game-based approach

被引:24
作者
Cao, Xiaoning [1 ]
Bo, Hongguang [1 ]
Liu, Yongkui [2 ]
Liu, Xiaobing [1 ]
机构
[1] Dalian Univ Technol, Sch Econ & Management, Dalian 116024, Peoples R China
[2] Xidian Univ, Sch Mechanoelect Engn, Xian, Peoples R China
基金
中国国家自然科学基金;
关键词
cloud manufacturing; resource sharing; platform management; substitutability; game theory; COMPETITION; ALLOCATION; PLATFORM; PRODUCT; SERVICE; COLLABORATION; COORDINATION; MECHANISM; FIRMS; PRICE;
D O I
10.1080/00207543.2021.2010824
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Cloud manufacturing (CMfg) aims to realise the sharing of manufacturing resources amongst different stakeholders. Resource-sharing strategies of suppliers are essential in achieving this aim. However, current studies on this topic rarely focus on the sharing of management rights over manufacturing resources. To fill this research gap, this study investigates three resource-sharing strategies: independently, as an alliance and by cooperating with a cloud platform operator. This study explores the effects of these different strategies on meeting client requirements in CMfg. The interactions between the operator and suppliers are modelled as a two-stage Stackelberg game that contains a simultaneous subgame. The equilibrium results indicate that players achieve a lower system profit when suppliers share as an alliance rather than independently, which is why the cloud platform operator strongly opposes it. The extended analysis indicates that considering multiple suppliers complicates the allocation of tasks and profits. Low-cost suppliers have significant advantages in terms of tasks and profits when considering different marginal costs. These findings provide insights for suppliers to select appropriate resource-sharing strategies in CMfg.
引用
收藏
页码:520 / 540
页数:21
相关论文
共 72 条
[1]   Cloud manufacturing - a critical review of recent development and future trends [J].
Adamson, Goran ;
Wang, Lihui ;
Holm, Magnus ;
Moore, Philip .
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2017, 30 (4-5) :347-380
[2]   A novel cloud manufacturing service composition platform enabled by Blockchain technology [J].
Aghamohammadzadeh, Ehsan ;
Valilai, Omid Fatahi .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2020, 58 (17) :5280-5298
[3]  
Alibaba.com, 2020, AL COM
[4]   Platform optimal capacity sharing: Willing to pay more does not guarantee a larger capacity share [J].
Aloui, Chokri ;
Jebsi, Khaireddine .
ECONOMIC MODELLING, 2016, 54 :276-288
[5]  
Apostolides Z., 2014, AUTOMOTIVE LOGISTICS
[6]   Competition in two-sided markets [J].
Armstrong, Mark .
RAND JOURNAL OF ECONOMICS, 2006, 37 (03) :668-691
[7]  
Bo Ding, 2012, Information Technology Journal, V11, P1258, DOI 10.3923/itj.2012.1258.1264
[8]  
Cachon GP, 2003, HDBK OPER R, V11, P229, DOI 10.1016/s0927-0507(03)11006-7
[9]   Intelligent decision-making model based on minority game for resource allocation in cloud manufacturing [J].
Carlucci, Daniela ;
Renna, Paolo ;
Materi, Sergio ;
Schiuma, Giovanni .
MANAGEMENT DECISION, 2020, 58 (11) :2305-2325
[10]   A cooperative approach to service booking and scheduling in cloud manufacturing [J].
Chen, Jian ;
Huang, George Q. ;
Wang, Jun-Qiang ;
Yang, Chen .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2019, 273 (03) :861-873