Using formal methods to scope performance challenges for Smart Manufacturing Systems: Focus on agility

被引:12
|
作者
Jung, Kiwook [1 ]
Morris, K. C. [1 ,2 ]
Lyons, Kevin W. [1 ,3 ]
Leong, Swee [1 ,4 ]
Cho, Hyunbo [5 ]
机构
[1] NIST, Gaithersburg, MD 20899 USA
[2] NIST, Informat Modeling & Testing Grp, Gaithersburg, MD 20899 USA
[3] NIST, Life Cycle Engn Grp, Syst Integrat Div, Engn Lab, Gaithersburg, MD 20899 USA
[4] NIST, Life Cycle Engn Grp, Gaithersburg, MD 20899 USA
[5] Pohang Univ Sci & Technol, Pohang, South Korea
来源
关键词
Smart Manufacturing Systems; formal method; Supply Chain Operations Reference model; Systems Integration for Manufacturing Applications reference architecture; COST ESTIMATION; CONCEPTUAL DESIGN; MODEL; FRAMEWORK;
D O I
10.1177/1063293X15603217
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Smart Manufacturing Systems need to be agile to adapt to new situations by using detailed, precise, and appropriate data for intelligent decision-making. The intricacy of the relationship of strategic goals with operational performance across the many levels of a manufacturing system inhibits the realization of Smart Manufacturing Systems. This article proposes a method for identifying what aspects of a manufacturing system should be addressed to respond to changing strategic goals. The method uses standard modeling techniques in specifying a manufacturing system and the relationship between strategic goals and operational performance metrics. Two existing reference models related to manufacturing operations are represented formally and harmonized to support the proposed method. The method is illustrated for a single scenario using agility as a strategic goal.
引用
收藏
页码:343 / 354
页数:12
相关论文
共 50 条
  • [31] Specification of an automatic manufacturing system: A case study in using integrated formal methods
    Wehrheim, H
    FUNDAMENTAL APPROACHES TO SOFTWARE ENGINEERING, 2000, 1783 : 334 - 348
  • [32] Mapping Strategic Goals and Operational Performance Metrics for Smart Manufacturing Systems
    Jung, Kiwook
    Morris, K. C.
    Lyons, Kevin W.
    Leong, Swee
    Cho, Hyunbo
    2015 CONFERENCE ON SYSTEMS ENGINEERING RESEARCH, 2015, 44 : 184 - 193
  • [33] Performance Assessment and Uncertainty Quantification of Predictive Models for Smart Manufacturing Systems
    Oneto, Luca
    Orlandi, Ilenia
    Anguita, Davide
    PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2015, : 1436 - 1445
  • [34] Analysis of manufacturing supply chain agility performance using Taguchi loss functions and design of experiment
    Routroy, Srikanta
    Bhardwaj, Aayush
    Sharma, Satyendra Kumar
    Rout, Bijay Kumar
    BENCHMARKING-AN INTERNATIONAL JOURNAL, 2018, 25 (08) : 3296 - 3319
  • [35] Coupling formal methods in a performance modelling methodology for etherogeneous supervisory systems
    Moscato, F
    Iacono, M
    Mazzocca, N
    Modelling and Simulation 2003, 2003, : 403 - 408
  • [36] Behavioral Analysis Of Safety Critical Systems Using Formal Methods
    Rao, Shreesha P.
    Nanda, Manju
    Jayanthi, J.
    2015 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2015, : 2385 - 2391
  • [37] Formal verification of infinite state systems using Boolean methods
    Bryant, Randal E.
    TERM REWRITING AND APPLICATIONS, PROCEEDINGS, 2006, 4098 : 1 - 3
  • [38] Design and Validation of Cloud Storage Systems Using Formal Methods
    Olveczky, Peter Csaba
    TOPICS IN THEORETICAL COMPUTER SCIENCE, TTCS 2017, 2017, 10608 : 3 - 8
  • [39] FORMAL METHODS FOR ANALYSIS OF DISCRETE SYSTEMS USING A SPECIFICATION LANGUAGE
    Kryvyi, S. L.
    Chugayenko, A. V.
    CYBERNETICS AND SYSTEMS ANALYSIS, 2009, 45 (04) : 528 - 543
  • [40] Using formal methods in designing embedded systems for automotive applications
    Damm, W.
    Eckrich, M.
    Brockmeyer, U.
    Wittich, G.
    Holberg, H.J.
    VDI Berichte, 1997, (1374): : 349 - 366