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
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
  • [31] 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
  • [32] COMPARING MIXED & INTEGER PROGRAMMING VS. CONSTRAINT PROGRAMMING BY SOLVING JOB-SHOP SCHEDULING PROBLEMS
    de Oliveira, Renata Melo e Silva
    Oliveira de Castro Ribeiro, Maria Sofia Freire
    INDEPENDENT JOURNAL OF MANAGEMENT & PRODUCTION, 2015, 6 (01): : 211 - 238
  • [33] An Application of Constraint Programming to Superblock Instruction Scheduling
    Malik, Abid M.
    Chase, Michael
    Russell, Tyrel
    van Beek, Peter
    PRINCIPLES AND PRACTICE OF CONSTRAINT PROGRAMMING, 2008, 5202 : 97 - 111
  • [34] Scheduling Optimization of Linear Schedule with Constraint Programming
    Tang, Yuanjie
    Liu, Rengkui
    Wang, Futian
    Sun, Quanxin
    Kandil, Amr A.
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2018, 33 (02) : 124 - 151
  • [35] An investigation of scheduling in distributed constraint logic programming
    Villaverde, K
    Pontelli, E
    PARALLEL AND DISTRIBUTED COMPUTING SYSTEMS, 2004, : 98 - 103
  • [36] A Constraint Programming Application for Rotating Workforce Scheduling
    Triska, Markus
    Musliu, Nysret
    DEVELOPING CONCEPTS IN APPLIED INTELLIGENCE, 2011, 363 : 83 - 88
  • [37] Constraint programming approach to a bilevel scheduling problem
    András Kovács
    Tamás Kis
    Constraints, 2011, 16 : 317 - 340
  • [38] A Constraint Programming Approach for Aircraft Disassembly Scheduling
    Thomas, Charles
    Schath, Pierre
    INTEGRATION OF CONSTRAINT PROGRAMMING, ARTIFICIAL INTELLIGENCE, AND OPERATIONS RESEARCH, PT II, CPAIOR 2024, 2024, 14743 : 211 - 220
  • [39] Nurse scheduling using constraint logic programming
    Abdennadher, S
    Schlenker, H
    SIXTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-99)/ELEVENTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE (IAAI-99), 1999, : 838 - 843
  • [40] 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):