An optimization design of the combined Shewhart-EWMA control chart View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-01-09

AUTHORS

M. Shamsuzzaman, M. B. C. Khoo, S. Haridy, I. Alsyouf

ABSTRACT

This article presents an optimization design of the combined Shewhart X¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \overline{X} $$\end{document} chart and exponentially weighted moving average (EWMA) chart (X¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \overline{X} $$\end{document}&EWMA chart in short) used in statistical process control (SPC). The design algorithm not only optimizes the charting parameters of the X¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \overline{X} $$\end{document} chart and EWMA chart, but also optimizes the allocation of detection power between the two charts’ elements, based on the loss function, so that the best overall performance can be achieved. The optimization design is carried out under the constraints on the false alarm rate and available resources. While the optimization design effectively improves the overall performance of the X¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \overline{X} $$\end{document}&EWMA chart over the entire process shift range, it does not increase the difficulty of understanding and implementing this combined chart. A 2k factorial experiment shows that the optimal X¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \overline{X} $$\end{document}&EWMA chart outperforms the main competitor, the basic X¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \overline{X} $$\end{document}&EWMA chart, by about 50 %, on average. Moreover, this article provides the SPC practitioners with a design table to facilitate the designs of the X¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \overline{X} $$\end{document}&EWMA charts. From this design table, the users can directly find the optimal values of the charting parameters according to the design specifications. More... »

PAGES

1627-1637

References to SciGraph publications

  • 2011-04-28. Design and application of exponential chart for monitoring time-between-events data under random process shift in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2006-10-25. Optimization design of a CUSUM control chart based on taguchi’s loss function in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00170-015-8307-4

    DOI

    http://dx.doi.org/10.1007/s00170-015-8307-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1023308807


    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/2008/01", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Mathematical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0102", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Applied Mathematics", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Industrial Engineering and Engineering Management, College of Engineering, University of Sharjah, PO Box 27272, Sharjah, United Arab Emirates", 
              "id": "http://www.grid.ac/institutes/grid.412789.1", 
              "name": [
                "Department of Industrial Engineering and Engineering Management, College of Engineering, University of Sharjah, PO Box 27272, Sharjah, United Arab Emirates"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Shamsuzzaman", 
            "givenName": "M.", 
            "id": "sg:person.016427762425.56", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016427762425.56"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Mathematical Sciences, Universiti Sains Malaysia, 11800, Minden, Penang, Malaysia", 
              "id": "http://www.grid.ac/institutes/grid.11875.3a", 
              "name": [
                "School of Mathematical Sciences, Universiti Sains Malaysia, 11800, Minden, Penang, Malaysia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Khoo", 
            "givenName": "M. B. C.", 
            "id": "sg:person.010407114577.48", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010407114577.48"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Benha Faculty of Engineering, Benha University, 13512, Benha, Egypt", 
              "id": "http://www.grid.ac/institutes/grid.411660.4", 
              "name": [
                "Benha Faculty of Engineering, Benha University, 13512, Benha, Egypt"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Haridy", 
            "givenName": "S.", 
            "id": "sg:person.011724742337.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011724742337.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Industrial Engineering and Engineering Management, College of Engineering, University of Sharjah, PO Box 27272, Sharjah, United Arab Emirates", 
              "id": "http://www.grid.ac/institutes/grid.412789.1", 
              "name": [
                "Department of Industrial Engineering and Engineering Management, College of Engineering, University of Sharjah, PO Box 27272, Sharjah, United Arab Emirates"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Alsyouf", 
            "givenName": "I.", 
            "id": "sg:person.011235237267.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011235237267.34"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00170-006-0803-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049973796", 
              "https://doi.org/10.1007/s00170-006-0803-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00170-011-3345-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023420701", 
              "https://doi.org/10.1007/s00170-011-3345-z"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-01-09", 
        "datePublishedReg": "2016-01-09", 
        "description": "This article presents an optimization design of the combined Shewhart X\u00af\\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$$ \\overline{X} $$\\end{document} chart and exponentially weighted moving average (EWMA) chart (X\u00af\\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$$ \\overline{X} $$\\end{document}&EWMA chart in short) used in statistical process control (SPC). The design algorithm not only optimizes the charting parameters of the X\u00af\\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$$ \\overline{X} $$\\end{document} chart and EWMA chart, but also optimizes the allocation of detection power between the two charts\u2019 elements, based on the loss function, so that the best overall performance can be achieved. The optimization design is carried out under the constraints on the false alarm rate and available resources. While the optimization design effectively improves the overall performance of the X\u00af\\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$$ \\overline{X} $$\\end{document}&EWMA chart over the entire process shift range, it does not increase the difficulty of understanding and implementing this combined chart. A 2k factorial experiment shows that the optimal X\u00af\\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$$ \\overline{X} $$\\end{document}&EWMA chart outperforms the main competitor, the basic X\u00af\\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$$ \\overline{X} $$\\end{document}&EWMA chart, by about 50\u00a0%, on average. Moreover, this article provides the SPC practitioners with a design table to facilitate the designs of the X\u00af\\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$$ \\overline{X} $$\\end{document}&EWMA charts. From this design table, the users can directly find the optimal values of the charting parameters according to the design specifications.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s00170-015-8307-4", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1043671", 
            "issn": [
              "0268-3768", 
              "1433-3015"
            ], 
            "name": "The International Journal of Advanced Manufacturing Technology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "5-8", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "86"
          }
        ], 
        "keywords": [
          "statistical process control", 
          "optimization design", 
          "entire process shift range", 
          "SPC practitioners", 
          "control charts", 
          "optimal value", 
          "design tables", 
          "loss function", 
          "average chart", 
          "process control", 
          "best overall performance", 
          "detection power", 
          "overall performance", 
          "false alarm rate", 
          "design specifications", 
          "alarm rate", 
          "Shewhart", 
          "chart elements", 
          "EWMA", 
          "constraints", 
          "design", 
          "parameters", 
          "available resources", 
          "main competitors", 
          "performance", 
          "allocation", 
          "charts", 
          "function", 
          "table", 
          "elements", 
          "control", 
          "specification", 
          "power", 
          "factorial experiment", 
          "difficulties", 
          "article", 
          "resources", 
          "users", 
          "experiments", 
          "values", 
          "competitors", 
          "range", 
          "shift range", 
          "rate", 
          "practitioners", 
          "combined Shewhart", 
          "process shift range", 
          "combined Shewhart-EWMA control chart", 
          "Shewhart-EWMA control chart"
        ], 
        "name": "An optimization design of the combined Shewhart-EWMA control chart", 
        "pagination": "1627-1637", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1023308807"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00170-015-8307-4"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00170-015-8307-4", 
          "https://app.dimensions.ai/details/publication/pub.1023308807"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-01-01T18:39", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_706.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s00170-015-8307-4"
      }
    ]
     

    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/s00170-015-8307-4'

    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/s00170-015-8307-4'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00170-015-8307-4'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00170-015-8307-4'


     

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

    142 TRIPLES      22 PREDICATES      75 URIs      65 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00170-015-8307-4 schema:about anzsrc-for:01
    2 anzsrc-for:0102
    3 schema:author Nfb99249791384451ae2ff3ed34483409
    4 schema:citation sg:pub.10.1007/s00170-006-0803-0
    5 sg:pub.10.1007/s00170-011-3345-z
    6 schema:datePublished 2016-01-09
    7 schema:datePublishedReg 2016-01-09
    8 schema:description This article presents an optimization design of the combined Shewhart X¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \overline{X} $$\end{document} chart and exponentially weighted moving average (EWMA) chart (X¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \overline{X} $$\end{document}&EWMA chart in short) used in statistical process control (SPC). The design algorithm not only optimizes the charting parameters of the X¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \overline{X} $$\end{document} chart and EWMA chart, but also optimizes the allocation of detection power between the two charts’ elements, based on the loss function, so that the best overall performance can be achieved. The optimization design is carried out under the constraints on the false alarm rate and available resources. While the optimization design effectively improves the overall performance of the X¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \overline{X} $$\end{document}&EWMA chart over the entire process shift range, it does not increase the difficulty of understanding and implementing this combined chart. A 2k factorial experiment shows that the optimal X¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \overline{X} $$\end{document}&EWMA chart outperforms the main competitor, the basic X¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \overline{X} $$\end{document}&EWMA chart, by about 50 %, on average. Moreover, this article provides the SPC practitioners with a design table to facilitate the designs of the X¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \overline{X} $$\end{document}&EWMA charts. From this design table, the users can directly find the optimal values of the charting parameters according to the design specifications.
    9 schema:genre article
    10 schema:inLanguage en
    11 schema:isAccessibleForFree false
    12 schema:isPartOf N08ed822c384f4fc48b20d0eaf5cf4a3f
    13 Nba94aadfc85040c99021424fa6775828
    14 sg:journal.1043671
    15 schema:keywords EWMA
    16 SPC practitioners
    17 Shewhart
    18 Shewhart-EWMA control chart
    19 alarm rate
    20 allocation
    21 article
    22 available resources
    23 average chart
    24 best overall performance
    25 chart elements
    26 charts
    27 combined Shewhart
    28 combined Shewhart-EWMA control chart
    29 competitors
    30 constraints
    31 control
    32 control charts
    33 design
    34 design specifications
    35 design tables
    36 detection power
    37 difficulties
    38 elements
    39 entire process shift range
    40 experiments
    41 factorial experiment
    42 false alarm rate
    43 function
    44 loss function
    45 main competitors
    46 optimal value
    47 optimization design
    48 overall performance
    49 parameters
    50 performance
    51 power
    52 practitioners
    53 process control
    54 process shift range
    55 range
    56 rate
    57 resources
    58 shift range
    59 specification
    60 statistical process control
    61 table
    62 users
    63 values
    64 schema:name An optimization design of the combined Shewhart-EWMA control chart
    65 schema:pagination 1627-1637
    66 schema:productId N5e5fd3bc270046e882d388be05766ab0
    67 Nc92b1eac52f8493cb28d8bc4ba55471e
    68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023308807
    69 https://doi.org/10.1007/s00170-015-8307-4
    70 schema:sdDatePublished 2022-01-01T18:39
    71 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    72 schema:sdPublisher Nb7fe68b95d424abd898774eccd188ad2
    73 schema:url https://doi.org/10.1007/s00170-015-8307-4
    74 sgo:license sg:explorer/license/
    75 sgo:sdDataset articles
    76 rdf:type schema:ScholarlyArticle
    77 N02a96b565d75421c9e5bc92b0d3c705e rdf:first sg:person.011724742337.32
    78 rdf:rest Nebb35335f1584c1dbbaf8601e0d7f2d5
    79 N08ed822c384f4fc48b20d0eaf5cf4a3f schema:issueNumber 5-8
    80 rdf:type schema:PublicationIssue
    81 N1cc4ef971d5046f58526d6ad8f450b4d rdf:first sg:person.010407114577.48
    82 rdf:rest N02a96b565d75421c9e5bc92b0d3c705e
    83 N5e5fd3bc270046e882d388be05766ab0 schema:name dimensions_id
    84 schema:value pub.1023308807
    85 rdf:type schema:PropertyValue
    86 Nb7fe68b95d424abd898774eccd188ad2 schema:name Springer Nature - SN SciGraph project
    87 rdf:type schema:Organization
    88 Nba94aadfc85040c99021424fa6775828 schema:volumeNumber 86
    89 rdf:type schema:PublicationVolume
    90 Nc92b1eac52f8493cb28d8bc4ba55471e schema:name doi
    91 schema:value 10.1007/s00170-015-8307-4
    92 rdf:type schema:PropertyValue
    93 Nebb35335f1584c1dbbaf8601e0d7f2d5 rdf:first sg:person.011235237267.34
    94 rdf:rest rdf:nil
    95 Nfb99249791384451ae2ff3ed34483409 rdf:first sg:person.016427762425.56
    96 rdf:rest N1cc4ef971d5046f58526d6ad8f450b4d
    97 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
    98 schema:name Mathematical Sciences
    99 rdf:type schema:DefinedTerm
    100 anzsrc-for:0102 schema:inDefinedTermSet anzsrc-for:
    101 schema:name Applied Mathematics
    102 rdf:type schema:DefinedTerm
    103 sg:journal.1043671 schema:issn 0268-3768
    104 1433-3015
    105 schema:name The International Journal of Advanced Manufacturing Technology
    106 schema:publisher Springer Nature
    107 rdf:type schema:Periodical
    108 sg:person.010407114577.48 schema:affiliation grid-institutes:grid.11875.3a
    109 schema:familyName Khoo
    110 schema:givenName M. B. C.
    111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010407114577.48
    112 rdf:type schema:Person
    113 sg:person.011235237267.34 schema:affiliation grid-institutes:grid.412789.1
    114 schema:familyName Alsyouf
    115 schema:givenName I.
    116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011235237267.34
    117 rdf:type schema:Person
    118 sg:person.011724742337.32 schema:affiliation grid-institutes:grid.411660.4
    119 schema:familyName Haridy
    120 schema:givenName S.
    121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011724742337.32
    122 rdf:type schema:Person
    123 sg:person.016427762425.56 schema:affiliation grid-institutes:grid.412789.1
    124 schema:familyName Shamsuzzaman
    125 schema:givenName M.
    126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016427762425.56
    127 rdf:type schema:Person
    128 sg:pub.10.1007/s00170-006-0803-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049973796
    129 https://doi.org/10.1007/s00170-006-0803-0
    130 rdf:type schema:CreativeWork
    131 sg:pub.10.1007/s00170-011-3345-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1023420701
    132 https://doi.org/10.1007/s00170-011-3345-z
    133 rdf:type schema:CreativeWork
    134 grid-institutes:grid.11875.3a schema:alternateName School of Mathematical Sciences, Universiti Sains Malaysia, 11800, Minden, Penang, Malaysia
    135 schema:name School of Mathematical Sciences, Universiti Sains Malaysia, 11800, Minden, Penang, Malaysia
    136 rdf:type schema:Organization
    137 grid-institutes:grid.411660.4 schema:alternateName Benha Faculty of Engineering, Benha University, 13512, Benha, Egypt
    138 schema:name Benha Faculty of Engineering, Benha University, 13512, Benha, Egypt
    139 rdf:type schema:Organization
    140 grid-institutes:grid.412789.1 schema:alternateName Department of Industrial Engineering and Engineering Management, College of Engineering, University of Sharjah, PO Box 27272, Sharjah, United Arab Emirates
    141 schema:name Department of Industrial Engineering and Engineering Management, College of Engineering, University of Sharjah, PO Box 27272, Sharjah, United Arab Emirates
    142 rdf:type schema:Organization
     




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


    ...