A multi-agent-based system for two-stage scheduling problem of offshore project

Han, Duanfeng; Yang, Boxin; Li, Jinghua; Wang, Jiaxuan; Sun, Miaomiao; Qing-hua, Zhou

doi:10.1177/1687814017720882

Cited by 8 publications

(5 citation statements)

References 35 publications

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“…The research is a good example of how large-scale decision problems require specialized multi-layered decision logics, which in this case is further improved upon through allowing parallel processing of the computations in the final decision layer. Han et al 4 consider the problem of offshore project scheduling and propose a two-stage multi-agent approach to address this. To facilitate the solution, two different kinds of algorithms have been designed and implemented.…”

Section: Intelligent Manufacturing/production Systems: Modeling Algorithms and Optimizationmentioning

confidence: 99%

Intelligent manufacturing/production systems: Modeling, algorithms, and optimization

Nielsen

Banaszak²,

Bocewicz³

et al. 2018

Advances in Mechanical Engineering

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Section: Intelligent Manufacturing/production Systems: Modeling Algorithms and Optimizationmentioning

confidence: 99%

Intelligent manufacturing/production systems: Modeling, algorithms, and optimization

Nielsen

Banaszak²,

Bocewicz³

et al. 2018

Advances in Mechanical Engineering

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“…As a typical large-scale engineering project, shipbuilding project has the characteristics of complex product structure, multiple manufacturing links, long production cycle, tight delivery, jobbing work, As a typical large-scale engineering project, shipbuilding project has the characteristics of complex product structure, multiple manufacturing links, long production cycle, tight delivery, jobbing work, multi-project parallelism, frequent engineering alterations, and so on [3]. The shipbuilding process is extremely complicated.…”

Section: Introductionmentioning

confidence: 99%

Research on Collaborative Planning and Symmetric Scheduling for Parallel Shipbuilding Projects in the Open Distributed Manufacturing Environment

Mao

Guo

et al. 2020

Symmetry

Self Cite

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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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“…Aiming at the problem, some related studies have been carried out. Literature has shown tendency about multitask scheduling of AGV systems and FMS; minimizing makespan and several other criteria are introduced to meet the demands of actual-practice scheduling [31][32][33]. Udhayakumar and Kumanan addressed tasks scheduling of AGVs in a flexible manufacturing environment using nontraditional optimization algorithms and made an attempt to find the near-optimum schedule for two AGVs based on the balanced workload and the minimum traveling time for maximum utilization [34].…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Scheduling Method for Logistics Tasks Oriented to Intelligent Manufacturing Workshop

Guo

et al. 2019

Mathematical Problems in Engineering

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Aiming at the logistics dynamic scheduling problem in an intelligent manufacturing workshop (IMW), an intelligent logistics scheduling model and response method with Automated Guided Vehicles (AGVs) based on the mode of “request-scheduling-response” were proposed, and they were integrated with Internet of Things (IoT) to meet the demands of dynamic and real time. Correspondingly, a mathematical model was developed and integrated with a double-level hybrid genetic algorithm and ant colony optimization (DLH-GA-ACO) to minimize the finish time with the minimum AGVs and limited time. The mathematical model optimized the logistics scheduling process on two dimensions which include the sequence of tasks assigned to an AGV and the matching relation between transfer tasks and AGVs (AGV-task). The effectiveness of the model was verified by a set of experiments, and comparison among DLH-GA-ACO, hybrid genetic algorithm and particle swarm optimization (H-GA-PSO), and tabu search algorithm (TSA) was performed. In the experiments, the DLH-GA-ACO ran in a distributed environment for a faster computing speed. According to the comparisons, the superiority and effectiveness of DLH-GA-ACO on dynamic simultaneous scheduling problem were proved and the intelligent logistics scheduling model was also proved to be an effective model.

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A multi-agent-based system for two-stage scheduling problem of offshore project

Cited by 8 publications

References 35 publications

Intelligent manufacturing/production systems: Modeling, algorithms, and optimization

Intelligent manufacturing/production systems: Modeling, algorithms, and optimization

Research on Collaborative Planning and Symmetric Scheduling for Parallel Shipbuilding Projects in the Open Distributed Manufacturing Environment

A Dynamic Scheduling Method for Logistics Tasks Oriented to Intelligent Manufacturing Workshop

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