The Knowledge-Based Maintenance: An Approach for Reusing Experiences in Industrial Systems View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Luis Alberto López-Ramos , Guillermo Cortés-Robles , Eduardo Roldán-Reyes , Giner Alor-Hernández , Cuauhtémoc Sánchez-Ramírez

ABSTRACT

The maintenance process plays a crucial role in any production process. Frequently, the common vision about the maintenance process takes only into account the probability of an event and the risk associated with some expected effects with the goal to reduce the effective cost. Nevertheless, maintenance is not a routine activity; it is a creative process that continually produces new knowledge. The traditional approaches to maintenance do not propose an explicit mechanism to preserve this knowledge. As a consequence, the experts managing the maintenance process face the problem to reinvent past solutions, instead of reusing their experiences to solve new problems. The lack of a learning process in the maintenance process produces the loss of knowledge, increases the dependency on some experts, but more important yet, it makes the evolution of the maintenance process more difficult. This chapter presents a Knowledge-Based Maintenance (KBM) approach that aims to create a framework to manage a maintenance program but also to preserve the valuable experience deployed in the maintenance activities. More... »

PAGES

505-523

References to SciGraph publications

  • 1999-01. Teamwork in Modern Organizations: Implications for Technology Education in INTERNATIONAL JOURNAL OF TECHNOLOGY AND DESIGN EDUCATION
  • 2001-06-18. A Knowledge Based System for the Maintenance of Chemical Plants and Its Implementation Using OPTRANS in ENGINEERING OF INTELLIGENT SYSTEMS
  • 1991-12. Expert maintenance systems in telecommunication networks in JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
  • 1987. On the Requirements for the Implementation of Knowledge-Based Industrial Planning and Configuration Systems in EXPERT SYSTEMS IN PRODUCTION ENGINEERING
  • 2007. Knowledge Based Industrial Maintenance Using Portable Devices and Augmented Reality in KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS
  • 2010. Case-Based Reasoning for Medical and Industrial Decision Support Systems in SUCCESSFUL CASE-BASED REASONING APPLICATIONS - I
  • 1999-10-29. Development and Utilization of a Case-Based Help-Desk Support System in a Corporate Environment in CASE-BASED REASONING RESEARCH AND DEVELOPMENT
  • 1998. Collecting experience on the systematic development of CBR applications using the INRECA methodology in ADVANCES IN CASE-BASED REASONING
  • 2008. Artificial Intelligence in Maintenance in COMPLEX SYSTEM MAINTENANCE HANDBOOK
  • 1992. Application of knowledge-based systems to optimised building maintenance management in INDUSTRIAL AND ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
  • 2008-06. A mix method of knowledge capitalization in maintenance in JOURNAL OF INTELLIGENT MANUFACTURING
  • 2003-06-18. Supporting the IT Security of eServices with CBR-Based Experience Management in CASE-BASED REASONING RESEARCH AND DEVELOPMENT
  • 2004-04. A Web-based CBR knowledge management system for PC troubleshooting in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 1989. A Survey of Expert Systems for Equipment Maintenance and Diagnostics in KNOWLEDGE-BASED SYSTEM DIAGNOSIS, SUPERVISION, AND CONTROL
  • 2010. A Methodology to Conceive A Case Based System Of Industrial Diagnosis in ENGINEERING ASSET LIFECYCLE MANAGEMENT
  • Book

    TITLE

    Best Practices in Manufacturing Processes

    ISBN

    978-3-319-99189-4
    978-3-319-99190-0

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-99190-0_23

    DOI

    http://dx.doi.org/10.1007/978-3-319-99190-0_23

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107083137


    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/2008/1701", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Psychology", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Psychology and Cognitive Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "Tecnologico Nacional de M\u00e9xico/Instituto Tecnol\u00f3gico de Orizaba"
              ], 
              "type": "Organization"
            }, 
            "familyName": "L\u00f3pez-Ramos", 
            "givenName": "Luis Alberto", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Tecnologico Nacional de M\u00e9xico/Instituto Tecnol\u00f3gico de Orizaba"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cort\u00e9s-Robles", 
            "givenName": "Guillermo", 
            "id": "sg:person.013774532547.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013774532547.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Tecnologico Nacional de M\u00e9xico/Instituto Tecnol\u00f3gico de Orizaba"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rold\u00e1n-Reyes", 
            "givenName": "Eduardo", 
            "id": "sg:person.014251141056.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014251141056.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Tecnologico Nacional de M\u00e9xico/Instituto Tecnol\u00f3gico de Orizaba"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Alor-Hern\u00e1ndez", 
            "givenName": "Giner", 
            "id": "sg:person.011654422251.97", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011654422251.97"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Tecnologico Nacional de M\u00e9xico/Instituto Tecnol\u00f3gico de Orizaba"
              ], 
              "type": "Organization"
            }, 
            "familyName": "S\u00e1nchez-Ram\u00edrez", 
            "givenName": "Cuauht\u00e9moc", 
            "id": "sg:person.016251552617.33", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016251552617.33"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/978-0-85729-320-6_53", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001935616", 
              "https://doi.org/10.1007/978-0-85729-320-6_53"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-0-85729-320-6_53", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001935616", 
              "https://doi.org/10.1007/978-0-85729-320-6_53"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00314937", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003360184", 
              "https://doi.org/10.1007/bf00314937"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00314937", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003360184", 
              "https://doi.org/10.1007/bf00314937"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-14078-5_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005892706", 
              "https://doi.org/10.1007/978-3-642-14078-5_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-14078-5_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005892706", 
              "https://doi.org/10.1007/978-3-642-14078-5_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.knosys.2013.06.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005927367"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1570-7946(06)80381-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007340939"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0004-3702(94)00089-j", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008605475"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1108/13552510910961129", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010124060"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1008849803984", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016100388", 
              "https://doi.org/10.1023/a:1008849803984"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bfb0056356", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018430621", 
              "https://doi.org/10.1007/bfb0056356"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/1350-6307(95)00009-f", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019447059"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4899-2471-1_16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019518713", 
              "https://doi.org/10.1007/978-1-4899-2471-1_16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1155/2015/203083", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020287049"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.knosys.2014.02.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021599399"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-84800-011-7_9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023499112", 
              "https://doi.org/10.1007/978-1-84800-011-7_9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bfb0024957", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030134299", 
              "https://doi.org/10.1007/bfb0024957"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ress.2007.03.037", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030416508"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-45006-8_29", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031300470", 
              "https://doi.org/10.1007/3-540-45006-8_29"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-45006-8_29", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031300470", 
              "https://doi.org/10.1007/3-540-45006-8_29"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.sbspro.2016.07.140", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033310044"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ifacol.2015.06.290", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037652757"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00170-003-1676-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039946105", 
              "https://doi.org/10.1007/s00170-003-1676-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1042718232", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1042718232", 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-74819-9_37", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042778952", 
              "https://doi.org/10.1007/978-3-540-74819-9_37"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-74819-9_37", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042778952", 
              "https://doi.org/10.1007/978-3-540-74819-9_37"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-83126-3_13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042888733", 
              "https://doi.org/10.1007/978-3-642-83126-3_13"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-45517-5_85", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044606477", 
              "https://doi.org/10.1007/3-540-45517-5_85"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-45517-5_85", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044606477", 
              "https://doi.org/10.1007/3-540-45517-5_85"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.scico.2012.04.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046025662"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.scico.2012.04.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046025662"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-48508-2_10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047029441", 
              "https://doi.org/10.1007/3-540-48508-2_10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-48508-2_10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047029441", 
              "https://doi.org/10.1007/3-540-48508-2_10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10845-008-0087-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047984900", 
              "https://doi.org/10.1007/s10845-008-0087-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10845-008-0087-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047984900", 
              "https://doi.org/10.1007/s10845-008-0087-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.actaastro.2017.06.018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086127075"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmsy.2017.09.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091983360"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.autcon.2017.09.020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092227051"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4324/9781482279160", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1108501909"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019", 
        "datePublishedReg": "2019-01-01", 
        "description": "The maintenance process plays a crucial role in any production process. Frequently, the common vision about the maintenance process takes only into account the probability of an event and the risk associated with some expected effects with the goal to reduce the effective cost. Nevertheless, maintenance is not a routine activity; it is a creative process that continually produces new knowledge. The traditional approaches to maintenance do not propose an explicit mechanism to preserve this knowledge. As a consequence, the experts managing the maintenance process face the problem to reinvent past solutions, instead of reusing their experiences to solve new problems. The lack of a learning process in the maintenance process produces the loss of knowledge, increases the dependency on some experts, but more important yet, it makes the evolution of the maintenance process more difficult. This chapter presents a Knowledge-Based Maintenance (KBM) approach that aims to create a framework to manage a maintenance program but also to preserve the valuable experience deployed in the maintenance activities.", 
        "editor": [
          {
            "familyName": "Garc\u00eda Alcaraz", 
            "givenName": "Jorge Luis", 
            "type": "Person"
          }, 
          {
            "familyName": "Rivera Cadavid", 
            "givenName": "Leonardo", 
            "type": "Person"
          }, 
          {
            "familyName": "Gonz\u00e1lez-Ram\u00edrez", 
            "givenName": "Rosa Guadalupe", 
            "type": "Person"
          }, 
          {
            "familyName": "Leal Jamil", 
            "givenName": "George", 
            "type": "Person"
          }, 
          {
            "familyName": "Chong Chong", 
            "givenName": "Mario Gustavo", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-319-99190-0_23", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-319-99189-4", 
            "978-3-319-99190-0"
          ], 
          "name": "Best Practices in Manufacturing Processes", 
          "type": "Book"
        }, 
        "name": "The Knowledge-Based Maintenance: An Approach for Reusing Experiences in Industrial Systems", 
        "pagination": "505-523", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-319-99190-0_23"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "4cdf5e140dfedcd8cc07dd2e4384b16d7d32ddf94e1308f1ce421b6d50012d4f"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1107083137"
            ]
          }
        ], 
        "publisher": {
          "location": "Cham", 
          "name": "Springer International Publishing", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-319-99190-0_23", 
          "https://app.dimensions.ai/details/publication/pub.1107083137"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-15T23:35", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8695_00000605.jsonl", 
        "type": "Chapter", 
        "url": "http://link.springer.com/10.1007/978-3-319-99190-0_23"
      }
    ]
     

    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.10.1007/978-3-319-99190-0_23'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-99190-0_23'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-99190-0_23'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-99190-0_23'


     

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

    226 TRIPLES      23 PREDICATES      58 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-319-99190-0_23 schema:about anzsrc-for:17
    2 anzsrc-for:1701
    3 schema:author Nc9420fb525cb4e53a0eb3855fa69ae05
    4 schema:citation sg:pub.10.1007/3-540-45006-8_29
    5 sg:pub.10.1007/3-540-45517-5_85
    6 sg:pub.10.1007/3-540-48508-2_10
    7 sg:pub.10.1007/978-0-85729-320-6_53
    8 sg:pub.10.1007/978-1-4899-2471-1_16
    9 sg:pub.10.1007/978-1-84800-011-7_9
    10 sg:pub.10.1007/978-3-540-74819-9_37
    11 sg:pub.10.1007/978-3-642-14078-5_2
    12 sg:pub.10.1007/978-3-642-83126-3_13
    13 sg:pub.10.1007/bf00314937
    14 sg:pub.10.1007/bfb0024957
    15 sg:pub.10.1007/bfb0056356
    16 sg:pub.10.1007/s00170-003-1676-0
    17 sg:pub.10.1007/s10845-008-0087-3
    18 sg:pub.10.1023/a:1008849803984
    19 https://app.dimensions.ai/details/publication/pub.1042718232
    20 https://doi.org/10.1016/0004-3702(94)00089-j
    21 https://doi.org/10.1016/1350-6307(95)00009-f
    22 https://doi.org/10.1016/j.actaastro.2017.06.018
    23 https://doi.org/10.1016/j.autcon.2017.09.020
    24 https://doi.org/10.1016/j.ifacol.2015.06.290
    25 https://doi.org/10.1016/j.jmsy.2017.09.003
    26 https://doi.org/10.1016/j.knosys.2013.06.005
    27 https://doi.org/10.1016/j.knosys.2014.02.002
    28 https://doi.org/10.1016/j.ress.2007.03.037
    29 https://doi.org/10.1016/j.sbspro.2016.07.140
    30 https://doi.org/10.1016/j.scico.2012.04.002
    31 https://doi.org/10.1016/s1570-7946(06)80381-0
    32 https://doi.org/10.1108/13552510910961129
    33 https://doi.org/10.1155/2015/203083
    34 https://doi.org/10.4324/9781482279160
    35 schema:datePublished 2019
    36 schema:datePublishedReg 2019-01-01
    37 schema:description The maintenance process plays a crucial role in any production process. Frequently, the common vision about the maintenance process takes only into account the probability of an event and the risk associated with some expected effects with the goal to reduce the effective cost. Nevertheless, maintenance is not a routine activity; it is a creative process that continually produces new knowledge. The traditional approaches to maintenance do not propose an explicit mechanism to preserve this knowledge. As a consequence, the experts managing the maintenance process face the problem to reinvent past solutions, instead of reusing their experiences to solve new problems. The lack of a learning process in the maintenance process produces the loss of knowledge, increases the dependency on some experts, but more important yet, it makes the evolution of the maintenance process more difficult. This chapter presents a Knowledge-Based Maintenance (KBM) approach that aims to create a framework to manage a maintenance program but also to preserve the valuable experience deployed in the maintenance activities.
    38 schema:editor Nc031468346814c35951443ef53d765c6
    39 schema:genre chapter
    40 schema:inLanguage en
    41 schema:isAccessibleForFree false
    42 schema:isPartOf Neef6c81ebcad4ef5988de160d6886522
    43 schema:name The Knowledge-Based Maintenance: An Approach for Reusing Experiences in Industrial Systems
    44 schema:pagination 505-523
    45 schema:productId N0955e0d8149f40fbac082b64e3b81daf
    46 N53c6df86088944eda2859f82d05fd922
    47 Nc202ff425be148c9a5e2f85977472bf9
    48 schema:publisher N3ff330e9c6ba41d9a8f49967c8a09d03
    49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107083137
    50 https://doi.org/10.1007/978-3-319-99190-0_23
    51 schema:sdDatePublished 2019-04-15T23:35
    52 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    53 schema:sdPublisher N0d9406096a4d4b2eb185c8d32ab33b7f
    54 schema:url http://link.springer.com/10.1007/978-3-319-99190-0_23
    55 sgo:license sg:explorer/license/
    56 sgo:sdDataset chapters
    57 rdf:type schema:Chapter
    58 N0955e0d8149f40fbac082b64e3b81daf schema:name readcube_id
    59 schema:value 4cdf5e140dfedcd8cc07dd2e4384b16d7d32ddf94e1308f1ce421b6d50012d4f
    60 rdf:type schema:PropertyValue
    61 N0d9406096a4d4b2eb185c8d32ab33b7f schema:name Springer Nature - SN SciGraph project
    62 rdf:type schema:Organization
    63 N21ea8437145d4616b4aa0f48948605db schema:name Tecnologico Nacional de México/Instituto Tecnológico de Orizaba
    64 rdf:type schema:Organization
    65 N3c0aa129a4ee42d1b5d0ee214513ce38 rdf:first sg:person.013774532547.31
    66 rdf:rest Na0af02645d3a491aac4cdcf596b33abf
    67 N3f74c970616e4ed6ad719b27c9a1000d rdf:first N8bb9d22a36964417a6250d2966f77ccf
    68 rdf:rest N8556250f14fa40d4b62d6fa0938d0c9f
    69 N3ff330e9c6ba41d9a8f49967c8a09d03 schema:location Cham
    70 schema:name Springer International Publishing
    71 rdf:type schema:Organisation
    72 N4c22f48eb4c746f58defc802bba0fb9e rdf:first sg:person.016251552617.33
    73 rdf:rest rdf:nil
    74 N53c6df86088944eda2859f82d05fd922 schema:name doi
    75 schema:value 10.1007/978-3-319-99190-0_23
    76 rdf:type schema:PropertyValue
    77 N6427c76b9b854a20b73052f9c8b10e06 rdf:first sg:person.011654422251.97
    78 rdf:rest N4c22f48eb4c746f58defc802bba0fb9e
    79 N6c1cfbf669d8486f9b563ab22861c98f schema:familyName Chong Chong
    80 schema:givenName Mario Gustavo
    81 rdf:type schema:Person
    82 N7563bd5c6e6443f8ad2f1694dda5b4a0 schema:name Tecnologico Nacional de México/Instituto Tecnológico de Orizaba
    83 rdf:type schema:Organization
    84 N7b8e5b93e73a495a866d214293f23083 schema:familyName García Alcaraz
    85 schema:givenName Jorge Luis
    86 rdf:type schema:Person
    87 N8556250f14fa40d4b62d6fa0938d0c9f rdf:first N6c1cfbf669d8486f9b563ab22861c98f
    88 rdf:rest rdf:nil
    89 N8bb9d22a36964417a6250d2966f77ccf schema:familyName Leal Jamil
    90 schema:givenName George
    91 rdf:type schema:Person
    92 N90c23e89767149ba91c655facc21f07d schema:name Tecnologico Nacional de México/Instituto Tecnológico de Orizaba
    93 rdf:type schema:Organization
    94 Na0af02645d3a491aac4cdcf596b33abf rdf:first sg:person.014251141056.37
    95 rdf:rest N6427c76b9b854a20b73052f9c8b10e06
    96 Nc031468346814c35951443ef53d765c6 rdf:first N7b8e5b93e73a495a866d214293f23083
    97 rdf:rest Nde0e3112ef00443cb237e66082728d03
    98 Nc202ff425be148c9a5e2f85977472bf9 schema:name dimensions_id
    99 schema:value pub.1107083137
    100 rdf:type schema:PropertyValue
    101 Nc9420fb525cb4e53a0eb3855fa69ae05 rdf:first Nd4e7cc0a53874af2996d8b6caceb045d
    102 rdf:rest N3c0aa129a4ee42d1b5d0ee214513ce38
    103 Nced1e7e836e84454af6e7f1389e74e90 schema:name Tecnologico Nacional de México/Instituto Tecnológico de Orizaba
    104 rdf:type schema:Organization
    105 Nd12bbf2bfedd4e6f991ce3e4143bbbc3 schema:familyName Rivera Cadavid
    106 schema:givenName Leonardo
    107 rdf:type schema:Person
    108 Nd4e7cc0a53874af2996d8b6caceb045d schema:affiliation Nced1e7e836e84454af6e7f1389e74e90
    109 schema:familyName López-Ramos
    110 schema:givenName Luis Alberto
    111 rdf:type schema:Person
    112 Nd5825ed52e434ed19ccacb0758549600 schema:familyName González-Ramírez
    113 schema:givenName Rosa Guadalupe
    114 rdf:type schema:Person
    115 Nde0e3112ef00443cb237e66082728d03 rdf:first Nd12bbf2bfedd4e6f991ce3e4143bbbc3
    116 rdf:rest Necbc9c7abd8a4af6ba8b8366a23224e0
    117 Ne76892e9bef244c0b125a50098be2121 schema:name Tecnologico Nacional de México/Instituto Tecnológico de Orizaba
    118 rdf:type schema:Organization
    119 Necbc9c7abd8a4af6ba8b8366a23224e0 rdf:first Nd5825ed52e434ed19ccacb0758549600
    120 rdf:rest N3f74c970616e4ed6ad719b27c9a1000d
    121 Neef6c81ebcad4ef5988de160d6886522 schema:isbn 978-3-319-99189-4
    122 978-3-319-99190-0
    123 schema:name Best Practices in Manufacturing Processes
    124 rdf:type schema:Book
    125 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
    126 schema:name Psychology and Cognitive Sciences
    127 rdf:type schema:DefinedTerm
    128 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
    129 schema:name Psychology
    130 rdf:type schema:DefinedTerm
    131 sg:person.011654422251.97 schema:affiliation N90c23e89767149ba91c655facc21f07d
    132 schema:familyName Alor-Hernández
    133 schema:givenName Giner
    134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011654422251.97
    135 rdf:type schema:Person
    136 sg:person.013774532547.31 schema:affiliation N21ea8437145d4616b4aa0f48948605db
    137 schema:familyName Cortés-Robles
    138 schema:givenName Guillermo
    139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013774532547.31
    140 rdf:type schema:Person
    141 sg:person.014251141056.37 schema:affiliation N7563bd5c6e6443f8ad2f1694dda5b4a0
    142 schema:familyName Roldán-Reyes
    143 schema:givenName Eduardo
    144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014251141056.37
    145 rdf:type schema:Person
    146 sg:person.016251552617.33 schema:affiliation Ne76892e9bef244c0b125a50098be2121
    147 schema:familyName Sánchez-Ramírez
    148 schema:givenName Cuauhtémoc
    149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016251552617.33
    150 rdf:type schema:Person
    151 sg:pub.10.1007/3-540-45006-8_29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031300470
    152 https://doi.org/10.1007/3-540-45006-8_29
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1007/3-540-45517-5_85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044606477
    155 https://doi.org/10.1007/3-540-45517-5_85
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1007/3-540-48508-2_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047029441
    158 https://doi.org/10.1007/3-540-48508-2_10
    159 rdf:type schema:CreativeWork
    160 sg:pub.10.1007/978-0-85729-320-6_53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001935616
    161 https://doi.org/10.1007/978-0-85729-320-6_53
    162 rdf:type schema:CreativeWork
    163 sg:pub.10.1007/978-1-4899-2471-1_16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019518713
    164 https://doi.org/10.1007/978-1-4899-2471-1_16
    165 rdf:type schema:CreativeWork
    166 sg:pub.10.1007/978-1-84800-011-7_9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023499112
    167 https://doi.org/10.1007/978-1-84800-011-7_9
    168 rdf:type schema:CreativeWork
    169 sg:pub.10.1007/978-3-540-74819-9_37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042778952
    170 https://doi.org/10.1007/978-3-540-74819-9_37
    171 rdf:type schema:CreativeWork
    172 sg:pub.10.1007/978-3-642-14078-5_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005892706
    173 https://doi.org/10.1007/978-3-642-14078-5_2
    174 rdf:type schema:CreativeWork
    175 sg:pub.10.1007/978-3-642-83126-3_13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042888733
    176 https://doi.org/10.1007/978-3-642-83126-3_13
    177 rdf:type schema:CreativeWork
    178 sg:pub.10.1007/bf00314937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003360184
    179 https://doi.org/10.1007/bf00314937
    180 rdf:type schema:CreativeWork
    181 sg:pub.10.1007/bfb0024957 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030134299
    182 https://doi.org/10.1007/bfb0024957
    183 rdf:type schema:CreativeWork
    184 sg:pub.10.1007/bfb0056356 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018430621
    185 https://doi.org/10.1007/bfb0056356
    186 rdf:type schema:CreativeWork
    187 sg:pub.10.1007/s00170-003-1676-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039946105
    188 https://doi.org/10.1007/s00170-003-1676-0
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1007/s10845-008-0087-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047984900
    191 https://doi.org/10.1007/s10845-008-0087-3
    192 rdf:type schema:CreativeWork
    193 sg:pub.10.1023/a:1008849803984 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016100388
    194 https://doi.org/10.1023/a:1008849803984
    195 rdf:type schema:CreativeWork
    196 https://app.dimensions.ai/details/publication/pub.1042718232 schema:CreativeWork
    197 https://doi.org/10.1016/0004-3702(94)00089-j schema:sameAs https://app.dimensions.ai/details/publication/pub.1008605475
    198 rdf:type schema:CreativeWork
    199 https://doi.org/10.1016/1350-6307(95)00009-f schema:sameAs https://app.dimensions.ai/details/publication/pub.1019447059
    200 rdf:type schema:CreativeWork
    201 https://doi.org/10.1016/j.actaastro.2017.06.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086127075
    202 rdf:type schema:CreativeWork
    203 https://doi.org/10.1016/j.autcon.2017.09.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092227051
    204 rdf:type schema:CreativeWork
    205 https://doi.org/10.1016/j.ifacol.2015.06.290 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037652757
    206 rdf:type schema:CreativeWork
    207 https://doi.org/10.1016/j.jmsy.2017.09.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091983360
    208 rdf:type schema:CreativeWork
    209 https://doi.org/10.1016/j.knosys.2013.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005927367
    210 rdf:type schema:CreativeWork
    211 https://doi.org/10.1016/j.knosys.2014.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021599399
    212 rdf:type schema:CreativeWork
    213 https://doi.org/10.1016/j.ress.2007.03.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030416508
    214 rdf:type schema:CreativeWork
    215 https://doi.org/10.1016/j.sbspro.2016.07.140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033310044
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1016/j.scico.2012.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046025662
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1016/s1570-7946(06)80381-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007340939
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.1108/13552510910961129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010124060
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.1155/2015/203083 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020287049
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.4324/9781482279160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1108501909
    226 rdf:type schema:CreativeWork
     




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


    ...