Synchronizing production scheduling with resources allocation for precast components in a multi-agent system environment

Zhaojing Wang, Hao Hu, Jie Gong, Xiaoping Ma

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

The performance of precast construction is highly dependent on the effectiveness of production planning for the precast components (PCs). However, existing studies focused primarily on the separate mathematical optimization of production scheduling or resource allocations using heuristic algorithms without considering the interactions between each other and the flexible production environment. This paper proposes a multi-agent based precast production planning model to synchronize the production scheduling and resource allocation. In this model, the on-time delivery, minimum waiting and extension time are achieved using a two-hierarchy resource constraints based production scheduling optimization method. Further, the heuristic algorithm is presented to integrate the optimization techniques with the competing goals shown in a multi-agent system. Finally, a real case is conducted to verify the performance of the proposed model. The results demonstrate that 9.1% and 27.4% cost savings can be achieved by comparison to the actual scheduling method in practice and the traditional scheduling methods without considering the resource constraints, respectively. This proposed methodology will support flexible and optimized decision makings on the precast production planning.

Original languageEnglish (US)
Pages (from-to)131-142
Number of pages12
JournalJournal of Manufacturing Systems
Volume49
DOIs
StatePublished - Oct 2018

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All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Hardware and Architecture
  • Industrial and Manufacturing Engineering

Keywords

  • Genetic algorithm
  • Multi-agent system
  • Precast construction
  • Production scheduling
  • Resource allocation

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