Research on Collaborative Planning and Symmetric Scheduling for Parallel Shipbuilding Projects in the Open Distributed Manufacturing Environment
Research on Collaborative Planning and Symmetric Scheduling for Parallel Shipbuilding Projects in the Open Distributed Manufacturing Environment
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开放分布式制造环境下并行造船项目协同计划与对称调度研究
DOI:
10.3390/sym12010161
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发表时间:
2020-01
期刊:
影响因子:
--
通讯作者:
Xiaoyuan Wu
中科院分区:
文献类型:
--
作者:
Xuezhang Mao;Jinghua Li;Hui Guo;Xiaoyuan Wu
In the current distributed manufacturing environment, more extensive enterprise cooperation is an effective means for shipbuilding companies to increase the competitiveness. However, considering the project scale and the uneven production capacity between the collaborative enterprises, a key issue for shipbuilding companies is to effectively combine the product-oriented project tasks and the specialized production-oriented plants. Due to information privatization, the decision-making process of project planning and scheduling is distributed and symmetric. Existing project scheduling methods and collaboration mechanisms in the shipbuilding industry are somehow inefficient. The aim of the research is to provide an assistant decision-making method to support effective task dispatching and multi-party cooperation for better utilization of the distributed resources and to help project managers control the shipbuilding process. The article initially establishes an agent-based complex shipbuilding project collaborative planning and symmetric scheduling framework, simulating the distributed collaborative decision-making process and bridging the multi-project planning with the individual project scheduling in much detail, which fills the research gap. A negotiation method based on iterative combination auction (ICA) is further proposed to solve the integration problem of project planning and task scheduling, and an illustrative example is conducted to demonstrate the effectiveness and rationality of the methods. Finally, an application case using a prototype system on shipbuilding projects collaborative planning and scheduling will be reported as a result.
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影响因子:
2.1
作者:
Han Duanfeng;Yang Boxin;Li Jinghua;Wang Jiaxuan;Sun Miaomiao;Zhou Qinghua
通讯作者:
Zhou Qinghua
DOI:
10.1016/j.asoc.2016.07.030
发表时间:
2016-11
期刊:
Appl. Soft Comput.
影响因子:
--
作者:
Chia-Yu Hsu;Bo-Ruei Kao;Van Lam Ho;Lin Li;K. R. Lai
通讯作者:
Chia-Yu Hsu;Bo-Ruei Kao;Van Lam Ho;Lin Li;K. R. Lai
DOI:
10.1016/j.ejor.2010.03.037
发表时间:
2011-02
期刊:
Eur. J. Oper. Res.
影响因子:
--
作者:
J. Weglarz;J. Józefowska;M. Mika;Grzegorz Waligóra
通讯作者:
J. Weglarz;J. Józefowska;M. Mika;Grzegorz Waligóra
DOI:
10.1016/j.ejor.2013.10.006
发表时间:
2014-08
期刊:
Eur. J. Oper. Res.
影响因子:
--
作者:
A. Thomas;J. Venkateswaran;Gaurav Singh;M. Krishnamoorthy
通讯作者:
A. Thomas;J. Venkateswaran;Gaurav Singh;M. Krishnamoorthy
影响因子:
3.6
作者:
Javier Alcaraz;Concepción Maroto;Rubén Ruiz
通讯作者:
Javier Alcaraz;Concepción Maroto;Rubén Ruiz