A Real-time RFID-driven Model for Two-level Production Decision-making

被引：0
|
作者：
Zhong, Ray Y. [1 ]
Huang, George Q. [1 ]
Lan, Shulin [1 ]
Dai, Qingyun [2 ,3 ]
机构：
[1] Univ Hong Kong, HKU ZIRI Lab Phys Internet, Dept Ind & Mfg Syst Engn, Hong Kong, Hong Kong, Peoples R China
[2] Guangdong Univ Technol, Sch Informat Engn, Guangzhou, Peoples R China
[3] Guangdong Polytechn Normal Univ, Guangzhou, Peoples R China
来源：
2014 IEEE 11TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC) | 2014年
关键词：
RFID; Real-time; Two-level; Production Decision-making; Planning and Scheduling; TECHNOLOGY; MANAGEMENT; OPERATIONS; PLATFORM; SYSTEM;
D O I：
暂无
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
This paper is motivated by a real-life production company that has been using RFID technology for supporting its production decision-making, which is divided into production planning and scheduling. Using the concept of advanced production planning and scheduling within hybrid flowshop environment, a real-time RFID-driven model is proposed to twining production planning and scheduling so that these two levels could be synchronized. In experimental examinations, this paper compares this model with rule-based solutions. It is observed that this proposed model is able to reduce the total tardiness comparing with priority-based rules, material-based rules, and SPT.
引用
收藏
页码：565 / 571
页数：7
相关论文
共 50 条
  • [41] Modeling the effects of sleep deprivation on real-time risky decision-making
    Hurwitz, JB
    PROCEEDINGS OF THE HUMAN FACTORS AND ERGONOMICS SOCIETY 42ND ANNUAL MEETING, VOLS 1 AND 2, 1998, : 330 - 334
  • [42] A STUDY OF REAL-TIME HUMAN DECISION-MAKING USING A PLANT SIMULATOR
    BAINBRIDGE, L
    BEISHON, J
    HEMMING, JH
    SPLAINE, M
    OPERATIONAL RESEARCH QUARTERLY, 1968, 19 (APR) : 91 - +
  • [43] A FLIGHT SIMULATOR DOGFIGHT AGENT FOR REAL-TIME DECISION-MAKING IN THE COCKPIT
    Solinger, David
    Ehlert, Patrick
    Rothkrantz, Leon
    PROCEEDINGS OF CGAMES'2005 - 7TH INTERNATIONAL CONFERENCE ON COMPUTER GAMES: ARTIFICIAL INTELLIGENCE, ANIMATION, MOBILE, EDUCATIONAL AND SERIOUS GAMES, 2005, : 129 - 133
  • [44] Machine learning process for real-time decision-making in animal husbandry
    de Alencar Naas, I.
    JOURNAL OF ANIMAL SCIENCE, 2018, 96 : 500 - 501
  • [45] DECENTRALIZED DECISION-MAKING FOR TASK REALLOCATION IN A HARD REAL-TIME SYSTEM
    STANKOVIC, JA
    IEEE TRANSACTIONS ON COMPUTERS, 1989, 38 (03) : 341 - 355
  • [46] Quantitative Analysis and Systematic Parametrization of a Two-Level Real-Time Scheduler
    Kaiser, Robert
    Zoebel, Dieter
    2009 IEEE CONFERENCE ON EMERGING TECHNOLOGIES & FACTORY AUTOMATION (EFTA 2009), 2009,
  • [47] MATLAB real-time two-level fuzzy control of nonlinear plant
    Yordanova, Snejana
    Tsekova, Rusanka
    Tabakova, Bilyana
    Mladenov, Valeri
    PROCEEDINGS OF THE 11TH WSEAS INTERNATIONAL CONFERENCE ON SYSTEMS, VOL 2: SYSTEMS THEORY AND APPLICATIONS, 2007, : 183 - +
  • [48] Assessing a perceptual model of risky real-time decision making
    Hurwitz, JB
    PROCEEDINGS OF THE HUMAN FACTORS AND ERGONOMICS SOCIETY - 40TH ANNUAL MEETING, VOLS 1 AND 2: HUMAN CENTERED TECHNOLOGY - KEY TO THE FUTURE, 1996, : 223 - 227
  • [49] Data-driven Linearization for Real-time Decision-making in Emergency Control of Power System Transient Stabilization
    Sun, Xinlin
    Zhou, Boxi
    Wang, Xiaolei
    Wang, Fujing
    Lu, Zhiyuan
    Shi, Xiaohan
    2024 4TH POWER SYSTEM AND GREEN ENERGY CONFERENCE, PSGEC 2024, 2024, : 191 - 195
  • [50] Convergence to real-time decision making
    James M. Tien
    Frontiers of Engineering Management, 2020, 7 : 204 - 222
12345