Applications of constraint programming in production scheduling problems: A descriptive bibliometric analysis

被引:2
|
作者
Prata, Bruno A. [1 ]
Abreu, Levi R. [1 ]
Nagano, Marcelo S. [2 ]
机构
[1] Univ Fed Ceara, Dept Ind Engn, Fortaleza, Brazil
[2] Univ Sao Paulo, Dept Prod Engn, Sao Carlos, Brazil
来源
RESULTS IN CONTROL AND OPTIMIZATION | 2024年 / 14卷
关键词
Production scheduling; Artificial intelligence; Constraint programming; Methodi ordinatio; Bibliometrix; WEIGHTED COMPLETION-TIME; DEPENDENT SETUP TIMES; SINGLE-MACHINE; JOB-SHOPS; GENETIC ALGORITHM; HYBRID METHOD; BATCH; SEARCH; MODELS; OPTIMIZATION;
D O I
10.1016/j.rico.2023.100350
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Production scheduling is a class of widely studied combinatorial optimization problems. Given the complexity of the most addressed production environments several solution procedures have been proposed. In recent years, operational researcher practitioners have been paying attention to solving production scheduling problems using constraint programming, and growing interest in this research domain has been evidenced. The aim of this study is to report a descriptive bibliometric analysis of applications of constraint programming in production scheduling problems. The scope of the study is limited to reviewing 170 scientific papers published between 1992 and 2023 from the Scopus and Web of Science databases. In our proposed research questions, we could address the main topics studied, the most studied performance measures, and the profile of the analyzed documents. Furthermore, we could identify the main gaps and present suggestions for future research.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Solving transient scheduling problems with constraint programming
    Korbaa, O
    Yim, P
    Gentina, JC
    EUROPEAN JOURNAL OF CONTROL, 2000, 6 (06) : 511 - 520
  • [2] Technology and system of constraint programming for industry production scheduling - Part I: A brief survey and potential directions
    Chen Y.
    Guan Z.
    Peng Y.
    Shao X.
    Hasseb M.
    Frontiers of Mechanical Engineering in China, 2010, 5 (4): : 455 - 464
  • [3] Solving production scheduling with earliness/tardiness penalties by constraint programming
    Jan Kelbel
    Zdeněk Hanzálek
    Journal of Intelligent Manufacturing, 2011, 22 : 553 - 562
  • [4] Solving production scheduling with earliness/tardiness penalties by constraint programming
    Kelbel, Jan
    Hanzalek, Zdenek
    JOURNAL OF INTELLIGENT MANUFACTURING, 2011, 22 (04) : 553 - 562
  • [5] Mixed-Integer Linear Programming, Constraint Programming and a Novel Dedicated Heuristic for Production Scheduling in a Packaging Plant
    Oujana, Soukaina
    Amodeo, Lionel
    Yalaoui, Farouk
    Brodart, David
    APPLIED SCIENCES-BASEL, 2023, 13 (10):
  • [6] Developing a Production Scheduling System for Modular Factory Using Constraint Programming
    Park, Hoonseok
    Um, Jumyung
    Jung, Jae-Yoon
    Ruskowski, Martin
    ADVANCES IN SERVICE AND INDUSTRIAL ROBOTICS, 2020, 980 : 126 - 133
  • [7] Combining Constraint Programming and Genetic Algorithm for Dynamic Scheduling Problems
    Elkhyari, Abdallah
    Bellabdaoui, Adil
    2017 INTERNATIONAL COLLOQUIUM ON LOGISTICS AND SUPPLY CHAIN MANAGEMENT (LOGISTIQUA), 2017, : 19 - 24
  • [8] A constraint programming approach to tool allocation and production scheduling in flexible manufacturing systems
    Zeballos, L. J.
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2010, 26 (06) : 725 - 743
  • [9] Integrated production and material handling scheduling using mathematical programming and constraint programming
    El Khayat, Ghada
    Langevin, Andre
    Riopel, Diane
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 175 (03) : 1818 - 1832
  • [10] Mixed-Integer Programming vs. Constraint Programming for Shop Scheduling Problems: New Results and Outlook
    Naderi, Bahman
    Ruiz, Ruben
    Roshanaei, Vahid
    INFORMS JOURNAL ON COMPUTING, 2023, 35 (04) : 817 - 843