Token-based pull production control systems: an introductory overview

被引:0
|
作者
Pedro L. González-R
José M. Framinan
Henry Pierreval
机构
[1] University of Seville,Industrial Management School of Engineering
[2] Clermont University,LIMOS and IFMA
来源
关键词
Just in time; Production control; Pull; Token; Kanban; Conwip; Customized; Hybrid;
D O I
暂无
中图分类号
学科分类号
摘要
Since the advent of Kanban, pull systems have been widely used in practice and have been widely studied by researchers. During the last decades, several types of pull systems have emerged. Numerous articles have been published to introduce new paradigms or new principles for just-in-time systems as well as new approaches to evaluate them or to optimize their performance. An important feature of these systems, which is common to many other production control systems, is the use of tokens, which usually consist of cards that authorize certain production tasks to be performed. Tokens can be used in various manners to control production and can be combined with several other mechanisms with the objective of reducing the work in progress and the lead times, while meeting customers’ demand. This article proposes an introductory overview of existing research works in this area. In this respect, we suggest a classification of pull-inspired production control systems, which allows us to distinguish up to 18 different systems. For each type of system, we study its basic principles, the flow control strategy, and the parameters affecting its performance. This survey aims at facilitating the understanding of the different proposals made by researchers and highlighting their common points and differences.
引用
收藏
页码:5 / 22
页数:17
相关论文
共 50 条
  • [1] Token-based pull production control systems: an introductory overview
    Gonzalez-R, Pedro L.
    Framinan, Jose M.
    Pierreval, Henry
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2012, 23 (01) : 5 - 22
  • [2] The pull evolution: from Kanban to customised token-based systems
    Gonzalez-R, Pedro L.
    Framinan, Jose M.
    [J]. PRODUCTION PLANNING & CONTROL, 2009, 20 (03) : 276 - 287
  • [3] Token-Based Access Control
    Gan, Guohua
    Chen, E.
    Zhou, Zhiyuan
    Zhu, Yan
    [J]. IEEE ACCESS, 2020, 8 (08): : 54189 - 54199
  • [4] Optimization customized token-based production control systems using cross-entropy
    Gonzalez-R, Pedro L.
    Framinan, Jose M.
    Dopfer, Andreas
    Ruiz-Usano, Rafael
    [J]. DIGITAL ENTERPRISE TECHNOLOGY: PERSPECTIVES AND FUTURE CHALLENGES, 2007, : 123 - +
  • [5] Token-based Sharing Control for IPFS
    Ohashi, Shigenori
    Watanabe, Hiroki
    Ishida, Tatsuro
    Fujimura, Shigeru
    Nakadaira, Atsushi
    Kishigami, Junichi
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN (BLOCKCHAIN 2019), 2019, : 361 - 367
  • [6] Efficient token-based control in rings
    Feuerstein, E
    Leonardi, S
    Marchetti-Spaccamela, A
    Santoro, N
    [J]. INFORMATION PROCESSING LETTERS, 1998, 66 (04) : 175 - 180
  • [7] A Token-based Admission Control and Request Scheduling in Lane Reservation Systems
    Liu, Kai
    Son, Sang H.
    Lee, Victor C. S.
    Kapitanova, Krasimira
    [J]. 2011 14TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2011, : 1489 - 1494
  • [8] Token-based sequential consistency in asynchronous distributed systems
    Raynal, M
    [J]. AINA 2003: 17TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS, 2003, : 421 - 426
  • [9] Token-based Autonomous Task Allocation in Flocking Systems
    Kokuti, Andras
    Simon, Vilmos
    Wiandt, Bernat
    [J]. PROCEEDINGS OF THE 2016 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS), 2016, 8 : 1461 - 1466
  • [10] Prioritized token-based mutual exclusion for distributed systems
    Mueller, F
    [J]. FIRST MERGED INTERNATIONAL PARALLEL PROCESSING SYMPOSIUM & SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING, 1998, : 791 - 795