A big data enabled load-balancing control for smart manufacturing of Industry 4.0 View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-04-17

AUTHORS

Di Li, Hao Tang, Shiyong Wang, Chengliang Liu

ABSTRACT

The concept of “Industry 4.0” that covers the topics of Internet of Things, cyber-physical system, and smart manufacturing, is a result of increasing demand of mass customized manufacturing. In this paper, a smart manufacturing framework of Industry 4.0 is presented. In the proposed framework, the shop-floor entities (machines, conveyers, etc.), the smart products and the cloud can communicate and negotiate interactively through networks. The shop-floor entities can be considered as agents based on the theory of multi-agent system. These agents implement dynamic reconfiguration in a collaborative manner to achieve agility and flexibility. However, without global coordination, problems such as load-unbalance and inefficiency may occur due to different abilities and performances of agents. Therefore, the intelligent evaluation and control algorithms are proposed to reduce the load-unbalance with the assistance of big data feedback. The experimental results indicate that the presented algorithms can easily be deployed in smart manufacturing system and can improve both load-balance and efficiency. More... »

PAGES

1855-1864

References to SciGraph publications

  • 1998-03. An object-oriented framework for developing distributed manufacturing architectures in JOURNAL OF INTELLIGENT MANUFACTURING
  • 2004-02. On Load Balancing Approaches for Distributed Object Computing Systems in THE JOURNAL OF SUPERCOMPUTING
  • 2015-11-28. Cloud-Integrated Cyber-Physical Systems for Complex Industrial Applications in MOBILE NETWORKS AND APPLICATIONS
  • 2016-09-16. Cloud-based smart manufacturing for personalized candy packing application in THE JOURNAL OF SUPERCOMPUTING
  • 2007. Energy-Aware Online Algorithm to Satisfy Sampling Rates with Guaranteed Probability for Sensor Applications in HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS
  • 2000. Integrated Manufacturing Systems Control Using a Multi-Agent System in PROCEEDINGS OF THE 33RD INTERNATIONAL MATADOR CONFERENCE
  • 2012-06-03. Cooperative game-based distributed resource allocation in horizontal dynamic cloud federation platform in INFORMATION SYSTEMS FRONTIERS
  • 2006-03-22. An integrated manufacturing network management framework by using mobile agent in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10586-017-0852-1

    DOI

    http://dx.doi.org/10.1007/s10586-017-0852-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1084862631


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information Systems", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.79703.3a", 
              "name": [
                "School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Di", 
            "id": "sg:person.013636250323.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013636250323.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.79703.3a", 
              "name": [
                "School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tang", 
            "givenName": "Hao", 
            "id": "sg:person.07352250731.77", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07352250731.77"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China", 
              "id": "http://www.grid.ac/institutes/grid.79703.3a", 
              "name": [
                "School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wang", 
            "givenName": "Shiyong", 
            "id": "sg:person.016062373344.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016062373344.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China", 
              "id": "http://www.grid.ac/institutes/grid.16821.3c", 
              "name": [
                "School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Liu", 
            "givenName": "Chengliang", 
            "id": "sg:person.012272446371.56", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012272446371.56"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s11227-016-1879-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040251094", 
              "https://doi.org/10.1007/s11227-016-1879-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00170-005-0378-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037115870", 
              "https://doi.org/10.1007/s00170-005-0378-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-75444-2_20", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044248082", 
              "https://doi.org/10.1007/978-3-540-75444-2_20"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11036-015-0664-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010235548", 
              "https://doi.org/10.1007/s11036-015-0664-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10796-012-9357-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002849261", 
              "https://doi.org/10.1007/s10796-012-9357-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/b:supe.0000009320.90845.0c", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044537267", 
              "https://doi.org/10.1023/b:supe.0000009320.90845.0c"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1008876114686", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027271533", 
              "https://doi.org/10.1023/a:1008876114686"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4471-0777-4_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029268498", 
              "https://doi.org/10.1007/978-1-4471-0777-4_2"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2017-04-17", 
        "datePublishedReg": "2017-04-17", 
        "description": "The concept of \u201cIndustry 4.0\u201d that covers the topics of Internet of Things, cyber-physical system, and smart manufacturing, is a result of increasing demand of mass customized manufacturing. In this paper, a smart manufacturing framework of Industry 4.0 is presented. In the proposed framework, the shop-floor entities (machines, conveyers, etc.), the smart products and the cloud can communicate and negotiate interactively through networks. The shop-floor entities can be considered as agents based on the theory of multi-agent system. These agents implement dynamic reconfiguration in a collaborative manner to achieve agility and flexibility. However, without global coordination, problems such as load-unbalance and inefficiency may occur due to different abilities and performances of agents. Therefore, the intelligent evaluation and control algorithms are proposed to reduce the load-unbalance with the assistance of big data feedback. The experimental results indicate that the presented algorithms can easily be deployed in smart manufacturing system and can improve both load-balance and efficiency.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10586-017-0852-1", 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.8269327", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1046649", 
            "issn": [
              "1386-7857", 
              "1573-7543"
            ], 
            "name": "Cluster Computing", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "20"
          }
        ], 
        "keywords": [
          "shop-floor entities", 
          "Industry 4.0", 
          "smart manufacturing", 
          "cyber-physical systems", 
          "topic of Internet", 
          "multi-agent systems", 
          "smart manufacturing systems", 
          "demand of mass", 
          "performance of agents", 
          "load balance control", 
          "big data", 
          "dynamic reconfiguration", 
          "intelligent evaluation", 
          "smart products", 
          "collaborative manner", 
          "manufacturing framework", 
          "manufacturing systems", 
          "global coordination", 
          "control algorithm", 
          "experimental results", 
          "algorithm", 
          "data feedback", 
          "manufacturing", 
          "framework", 
          "Internet", 
          "cloud", 
          "system", 
          "network", 
          "agility", 
          "reconfiguration", 
          "things", 
          "entities", 
          "flexibility", 
          "performance", 
          "feedback", 
          "inefficiency", 
          "efficiency", 
          "concept", 
          "topic", 
          "demand", 
          "assistance", 
          "coordination", 
          "results", 
          "data", 
          "evaluation", 
          "agents", 
          "manner", 
          "different abilities", 
          "products", 
          "problem", 
          "ability", 
          "control", 
          "mass", 
          "theory", 
          "paper"
        ], 
        "name": "A big data enabled load-balancing control for smart manufacturing of Industry 4.0", 
        "pagination": "1855-1864", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1084862631"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10586-017-0852-1"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10586-017-0852-1", 
          "https://app.dimensions.ai/details/publication/pub.1084862631"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-09-02T16:00", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_732.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10586-017-0852-1"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10586-017-0852-1'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10586-017-0852-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10586-017-0852-1'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10586-017-0852-1'


     

    This table displays all metadata directly associated to this object as RDF triples.

    174 TRIPLES      21 PREDICATES      88 URIs      71 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10586-017-0852-1 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 anzsrc-for:0806
    4 schema:author N0d0771a84d6847fea4d333fe8a9c3126
    5 schema:citation sg:pub.10.1007/978-1-4471-0777-4_2
    6 sg:pub.10.1007/978-3-540-75444-2_20
    7 sg:pub.10.1007/s00170-005-0378-1
    8 sg:pub.10.1007/s10796-012-9357-x
    9 sg:pub.10.1007/s11036-015-0664-6
    10 sg:pub.10.1007/s11227-016-1879-4
    11 sg:pub.10.1023/a:1008876114686
    12 sg:pub.10.1023/b:supe.0000009320.90845.0c
    13 schema:datePublished 2017-04-17
    14 schema:datePublishedReg 2017-04-17
    15 schema:description The concept of “Industry 4.0” that covers the topics of Internet of Things, cyber-physical system, and smart manufacturing, is a result of increasing demand of mass customized manufacturing. In this paper, a smart manufacturing framework of Industry 4.0 is presented. In the proposed framework, the shop-floor entities (machines, conveyers, etc.), the smart products and the cloud can communicate and negotiate interactively through networks. The shop-floor entities can be considered as agents based on the theory of multi-agent system. These agents implement dynamic reconfiguration in a collaborative manner to achieve agility and flexibility. However, without global coordination, problems such as load-unbalance and inefficiency may occur due to different abilities and performances of agents. Therefore, the intelligent evaluation and control algorithms are proposed to reduce the load-unbalance with the assistance of big data feedback. The experimental results indicate that the presented algorithms can easily be deployed in smart manufacturing system and can improve both load-balance and efficiency.
    16 schema:genre article
    17 schema:isAccessibleForFree false
    18 schema:isPartOf N08effd0d3afe4124ab584038f73c3e8c
    19 N98c194245ce7454da741b282bd86f0c0
    20 sg:journal.1046649
    21 schema:keywords Industry 4.0
    22 Internet
    23 ability
    24 agents
    25 agility
    26 algorithm
    27 assistance
    28 big data
    29 cloud
    30 collaborative manner
    31 concept
    32 control
    33 control algorithm
    34 coordination
    35 cyber-physical systems
    36 data
    37 data feedback
    38 demand
    39 demand of mass
    40 different abilities
    41 dynamic reconfiguration
    42 efficiency
    43 entities
    44 evaluation
    45 experimental results
    46 feedback
    47 flexibility
    48 framework
    49 global coordination
    50 inefficiency
    51 intelligent evaluation
    52 load balance control
    53 manner
    54 manufacturing
    55 manufacturing framework
    56 manufacturing systems
    57 mass
    58 multi-agent systems
    59 network
    60 paper
    61 performance
    62 performance of agents
    63 problem
    64 products
    65 reconfiguration
    66 results
    67 shop-floor entities
    68 smart manufacturing
    69 smart manufacturing systems
    70 smart products
    71 system
    72 theory
    73 things
    74 topic
    75 topic of Internet
    76 schema:name A big data enabled load-balancing control for smart manufacturing of Industry 4.0
    77 schema:pagination 1855-1864
    78 schema:productId N0b61daad67884455b92dcc3f39d2d69b
    79 N89f016417eb74fb7842be24133e67d8e
    80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084862631
    81 https://doi.org/10.1007/s10586-017-0852-1
    82 schema:sdDatePublished 2022-09-02T16:00
    83 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    84 schema:sdPublisher Nd421a06d055142e78f6851badb4917d3
    85 schema:url https://doi.org/10.1007/s10586-017-0852-1
    86 sgo:license sg:explorer/license/
    87 sgo:sdDataset articles
    88 rdf:type schema:ScholarlyArticle
    89 N08effd0d3afe4124ab584038f73c3e8c schema:volumeNumber 20
    90 rdf:type schema:PublicationVolume
    91 N0b61daad67884455b92dcc3f39d2d69b schema:name dimensions_id
    92 schema:value pub.1084862631
    93 rdf:type schema:PropertyValue
    94 N0d0771a84d6847fea4d333fe8a9c3126 rdf:first sg:person.013636250323.20
    95 rdf:rest Nafbc34ad4fc946968c6ab0ec46dcd0c6
    96 N2a27739dd03d452d835a89450805068a rdf:first sg:person.016062373344.46
    97 rdf:rest Nb1fa3cebbd7d4a1e9145126a0614bf25
    98 N89f016417eb74fb7842be24133e67d8e schema:name doi
    99 schema:value 10.1007/s10586-017-0852-1
    100 rdf:type schema:PropertyValue
    101 N98c194245ce7454da741b282bd86f0c0 schema:issueNumber 2
    102 rdf:type schema:PublicationIssue
    103 Nafbc34ad4fc946968c6ab0ec46dcd0c6 rdf:first sg:person.07352250731.77
    104 rdf:rest N2a27739dd03d452d835a89450805068a
    105 Nb1fa3cebbd7d4a1e9145126a0614bf25 rdf:first sg:person.012272446371.56
    106 rdf:rest rdf:nil
    107 Nd421a06d055142e78f6851badb4917d3 schema:name Springer Nature - SN SciGraph project
    108 rdf:type schema:Organization
    109 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    110 schema:name Information and Computing Sciences
    111 rdf:type schema:DefinedTerm
    112 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    113 schema:name Artificial Intelligence and Image Processing
    114 rdf:type schema:DefinedTerm
    115 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
    116 schema:name Information Systems
    117 rdf:type schema:DefinedTerm
    118 sg:grant.8269327 http://pending.schema.org/fundedItem sg:pub.10.1007/s10586-017-0852-1
    119 rdf:type schema:MonetaryGrant
    120 sg:journal.1046649 schema:issn 1386-7857
    121 1573-7543
    122 schema:name Cluster Computing
    123 schema:publisher Springer Nature
    124 rdf:type schema:Periodical
    125 sg:person.012272446371.56 schema:affiliation grid-institutes:grid.16821.3c
    126 schema:familyName Liu
    127 schema:givenName Chengliang
    128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012272446371.56
    129 rdf:type schema:Person
    130 sg:person.013636250323.20 schema:affiliation grid-institutes:grid.79703.3a
    131 schema:familyName Li
    132 schema:givenName Di
    133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013636250323.20
    134 rdf:type schema:Person
    135 sg:person.016062373344.46 schema:affiliation grid-institutes:grid.79703.3a
    136 schema:familyName Wang
    137 schema:givenName Shiyong
    138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016062373344.46
    139 rdf:type schema:Person
    140 sg:person.07352250731.77 schema:affiliation grid-institutes:grid.79703.3a
    141 schema:familyName Tang
    142 schema:givenName Hao
    143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07352250731.77
    144 rdf:type schema:Person
    145 sg:pub.10.1007/978-1-4471-0777-4_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029268498
    146 https://doi.org/10.1007/978-1-4471-0777-4_2
    147 rdf:type schema:CreativeWork
    148 sg:pub.10.1007/978-3-540-75444-2_20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044248082
    149 https://doi.org/10.1007/978-3-540-75444-2_20
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1007/s00170-005-0378-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037115870
    152 https://doi.org/10.1007/s00170-005-0378-1
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1007/s10796-012-9357-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002849261
    155 https://doi.org/10.1007/s10796-012-9357-x
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1007/s11036-015-0664-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010235548
    158 https://doi.org/10.1007/s11036-015-0664-6
    159 rdf:type schema:CreativeWork
    160 sg:pub.10.1007/s11227-016-1879-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040251094
    161 https://doi.org/10.1007/s11227-016-1879-4
    162 rdf:type schema:CreativeWork
    163 sg:pub.10.1023/a:1008876114686 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027271533
    164 https://doi.org/10.1023/a:1008876114686
    165 rdf:type schema:CreativeWork
    166 sg:pub.10.1023/b:supe.0000009320.90845.0c schema:sameAs https://app.dimensions.ai/details/publication/pub.1044537267
    167 https://doi.org/10.1023/b:supe.0000009320.90845.0c
    168 rdf:type schema:CreativeWork
    169 grid-institutes:grid.16821.3c schema:alternateName School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
    170 schema:name School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
    171 rdf:type schema:Organization
    172 grid-institutes:grid.79703.3a schema:alternateName School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China
    173 schema:name School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China
    174 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...