Integrated optimization of stochastic resource scheduling and machine maintenance in prefabricated component production processes

被引:6
作者
Wang, Jingjing [1 ]
Liu, Huimin [1 ]
机构
[1] Qingdao Univ Technol, Sch Management Engn, Qingdao 266525, Peoples R China
基金
中国国家自然科学基金;
关键词
Machine maintenance; Stochastic resource scheduling; Prefabricated components; Differential evolution algorithm; TRANSPORTATION;
D O I
10.1016/j.autcon.2023.105030
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Effective resource scheduling and machine maintenance are two important interactive factors to improve prefabricated component productions. However, previous studies focused on machine maintenance without simultaneously considering stochastic resource scheduling, or studied job scheduling but neglected the resource constraint and machine availability. This paper explores the interaction between resource scheduling and machine maintenance to optimize the maintenance decisions and human resources in the prefabricated component production process. To solve this problem, a new integrated optimization model with aim of minimizing the uncertain project duration under the cost constraint is formulated. A differential evolution algorithm is designed by incorporating the simulation method. A real-life example of prefabricated walls is used to demonstrate the significance of jointly optimizing stochastic resource scheduling and machine maintenance, and analyzes the effectiveness of related parameters on the production system. Related results provide a new perspective to simultaneously consider multiple factors in the production process for future research.
引用
收藏
页数:14
相关论文
共 47 条
  • [21] An adaptive artificial bee colony for unrelated parallel machine schedulingwith additional resource and maintenance
    Lei, Deming
    He, Shaosi
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2022, 205
  • [22] A hybrid differential evolution algorithm for flexible job shop scheduling with outsourcing operations and job priority constraints
    Li, Hui
    Wang, Xi
    Peng, Jianbiao
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2022, 201
  • [23] A production modeling with genetic algorithms for a stationary pre-cast supply chain
    Li, Sherman H. A.
    Tserng, H. Ping
    Yin, Samuel Y. L.
    Hsu, Ching-Wen
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (12) : 8406 - 8416
  • [24] Mokhtarimousavi S., 2015, IRAN U SCI TECHNOL, V5, P21
  • [25] A survey of hybrid metaheuristics for the resource-constrained project scheduling problem
    Pellerin, Robert
    Perrier, Nathalie
    Berthaut, Francois
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2020, 280 (02) : 395 - 416
  • [26] New strategies for stochastic resource-constrained project scheduling
    Rostami, Salim
    Creemers, Stefan
    Leus, Roel
    [J]. JOURNAL OF SCHEDULING, 2018, 21 (03) : 349 - 365
  • [27] What is the potential for prefabricated buildings to decrease costs and contribute to meeting EU environmental targets?
    Tavares, V
    Gregory, J.
    Kirchain, R.
    Freire, F.
    [J]. BUILDING AND ENVIRONMENT, 2021, 206
  • [28] Prefabricated versus conventional construction: Comparing life-cycle impacts of alternative structural materials
    Tavares, V.
    Soares, N.
    Raposo, N.
    Marques, P.
    Freire, F.
    [J]. JOURNAL OF BUILDING ENGINEERING, 2021, 41
  • [29] A particle swarm optimization for a fuzzy multi-objective unrelated parallel machines scheduling problem
    Torabi, S. A.
    Sahebjamnia, N.
    Mansouri, S. A.
    Bajestani, M. Aramon
    [J]. APPLIED SOFT COMPUTING, 2013, 13 (12) : 4750 - 4762
  • [30] Joint optimization of multi-window maintenance and spare part provisioning policies for production systems
    Wang, Jingjing
    Yang, Li
    Ma, Xiaobing
    Peng, Rui
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 216