The Role of Manufacturing Practices in Supply Chain Performance View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Liliana Avelar-Sosa , Jorge Luis García-Alcaraz , Aidé Aracely Maldonado-Macías

ABSTRACT

This chapter explores the impact of manufacturing practices on supply chain performance. Four major manufacturing practices are studied: total quality management (TQM), just in time (JIT), machinery and equipment maintenance, and advanced manufacturing technology (AMT). The relationships between these manufacturing practices and supply chain performance benefits are proposed in a series of models. They are later tested and evaluated to determine their validity and statistical significance. Finally, the chapter proposes an integrative model to explore how manufacturing practices are interrelated. More... »

PAGES

343-372

References to SciGraph publications

Book

TITLE

Evaluation of Supply Chain Performance

ISBN

978-3-319-93875-2
978-3-319-93876-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-93876-9_14

DOI

http://dx.doi.org/10.1007/978-3-319-93876-9_14

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105223686


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/2008/1503", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Business and Management", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/15", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Commerce, Management, Tourism and Services", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Universidad Aut\u00f3noma de Ciudad Ju\u00e1rez", 
          "id": "https://www.grid.ac/institutes/grid.441213.1", 
          "name": [
            "Universidad Aut\u00f3noma de Ciudad Ju\u00e1rez"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Avelar-Sosa", 
        "givenName": "Liliana", 
        "id": "sg:person.012067025561.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012067025561.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidad Aut\u00f3noma de Ciudad Ju\u00e1rez", 
          "id": "https://www.grid.ac/institutes/grid.441213.1", 
          "name": [
            "Universidad Aut\u00f3noma de Ciudad Ju\u00e1rez"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garc\u00eda-Alcaraz", 
        "givenName": "Jorge Luis", 
        "id": "sg:person.016311247122.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016311247122.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidad Aut\u00f3noma de Ciudad Ju\u00e1rez", 
          "id": "https://www.grid.ac/institutes/grid.441213.1", 
          "name": [
            "Universidad Aut\u00f3noma de Ciudad Ju\u00e1rez"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maldonado-Mac\u00edas", 
        "givenName": "Aid\u00e9 Aracely", 
        "id": "sg:person.0673470525.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673470525.40"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s001700200008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000324354", 
          "https://doi.org/10.1007/s001700200008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1057/palgrave.jit.2000013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002107310", 
          "https://doi.org/10.1057/palgrave.jit.2000013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1057/palgrave.jit.2000013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002107310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1057/palgrave.jit.2000013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002107310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.acme.2015.07.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003019343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sbspro.2015.10.090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005738590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sbspro.2015.07.361", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008908102"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12063-012-0074-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012700829", 
          "https://doi.org/10.1007/s12063-012-0074-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00170-015-8219-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013397723", 
          "https://doi.org/10.1007/s00170-015-8219-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-08-100090-8.00002-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016445670"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40032-011-0002-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019385339", 
          "https://doi.org/10.1007/s40032-011-0002-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10479-012-1289-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022720949", 
          "https://doi.org/10.1007/s10479-012-1289-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.promfg.2015.11.063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023969867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.procir.2016.07.071", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031504222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12247-010-9095-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033906000", 
          "https://doi.org/10.1007/s12247-010-9095-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12247-010-9095-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033906000", 
          "https://doi.org/10.1007/s12247-010-9095-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sbspro.2016.11.076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034157216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.techfore.2016.07.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035783512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.hitech.2010.05.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036190240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-12-811035-5.00001-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037116892"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40171-012-0002-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039460626", 
          "https://doi.org/10.1007/s40171-012-0002-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1008634008759", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039851954", 
          "https://doi.org/10.1023/a:1008634008759"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.proeng.2013.01.084", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040591305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02744129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043454743", 
          "https://doi.org/10.1007/bf02744129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02744129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043454743", 
          "https://doi.org/10.1007/bf02744129"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpe.2010.02.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043616804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11573-015-0800-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047244373", 
          "https://doi.org/10.1007/s11573-015-0800-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmatprotec.2006.03.102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047308576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11465-012-0330-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048917062", 
          "https://doi.org/10.1007/s11465-012-0330-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-12-811035-5.00002-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049919404"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00170-016-8399-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051197286", 
          "https://doi.org/10.1007/s00170-016-8399-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5897/ajbm11.2777", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073483015"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpe.2017.03.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084082123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.seps.2017.03.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084108358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jclepro.2017.06.093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086035604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jclepro.2017.06.093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086035604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cie.2017.06.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086041009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.procir.2017.03.154", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090603831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03396562", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092617407", 
          "https://doi.org/10.1007/bf03396562"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ress.2017.12.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100107841"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019", 
    "datePublishedReg": "2019-01-01", 
    "description": "This chapter explores the impact of manufacturing practices on supply chain performance. Four major manufacturing practices are studied: total quality management (TQM), just in time (JIT), machinery and equipment maintenance, and advanced manufacturing technology (AMT). The relationships between these manufacturing practices and supply chain performance benefits are proposed in a series of models. They are later tested and evaluated to determine their validity and statistical significance. Finally, the chapter proposes an integrative model to explore how manufacturing practices are interrelated.", 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-93876-9_14", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-319-93875-2", 
        "978-3-319-93876-9"
      ], 
      "name": "Evaluation of Supply Chain Performance", 
      "type": "Book"
    }, 
    "name": "The Role of Manufacturing Practices in Supply Chain Performance", 
    "pagination": "343-372", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-93876-9_14"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "3b2d631ed1de26a57957e6721d4927969a5ebadb7c5d504de2cb3172544a699f"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105223686"
        ]
      }
    ], 
    "publisher": {
      "location": "Cham", 
      "name": "Springer International Publishing", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-93876-9_14", 
      "https://app.dimensions.ai/details/publication/pub.1105223686"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T01:28", 
    "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_8700_00000604.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-319-93876-9_14"
  }
]
 

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.10.1007/978-3-319-93876-9_14'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-93876-9_14'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-93876-9_14'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-93876-9_14'


 

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

195 TRIPLES      22 PREDICATES      62 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-93876-9_14 schema:about anzsrc-for:15
2 anzsrc-for:1503
3 schema:author N17c2f70d7d7f405aa752149dd319fdbe
4 schema:citation sg:pub.10.1007/bf02744129
5 sg:pub.10.1007/bf03396562
6 sg:pub.10.1007/s00170-015-8219-3
7 sg:pub.10.1007/s00170-016-8399-5
8 sg:pub.10.1007/s001700200008
9 sg:pub.10.1007/s10479-012-1289-9
10 sg:pub.10.1007/s11465-012-0330-7
11 sg:pub.10.1007/s11573-015-0800-6
12 sg:pub.10.1007/s12063-012-0074-x
13 sg:pub.10.1007/s12247-010-9095-x
14 sg:pub.10.1007/s40032-011-0002-0
15 sg:pub.10.1007/s40171-012-0002-9
16 sg:pub.10.1023/a:1008634008759
17 sg:pub.10.1057/palgrave.jit.2000013
18 https://doi.org/10.1016/b978-0-08-100090-8.00002-1
19 https://doi.org/10.1016/b978-0-12-811035-5.00001-5
20 https://doi.org/10.1016/b978-0-12-811035-5.00002-7
21 https://doi.org/10.1016/j.acme.2015.07.002
22 https://doi.org/10.1016/j.cie.2017.06.018
23 https://doi.org/10.1016/j.hitech.2010.05.002
24 https://doi.org/10.1016/j.ijpe.2010.02.013
25 https://doi.org/10.1016/j.ijpe.2017.03.013
26 https://doi.org/10.1016/j.jclepro.2017.06.093
27 https://doi.org/10.1016/j.jmatprotec.2006.03.102
28 https://doi.org/10.1016/j.procir.2016.07.071
29 https://doi.org/10.1016/j.procir.2017.03.154
30 https://doi.org/10.1016/j.proeng.2013.01.084
31 https://doi.org/10.1016/j.promfg.2015.11.063
32 https://doi.org/10.1016/j.ress.2017.12.020
33 https://doi.org/10.1016/j.sbspro.2015.07.361
34 https://doi.org/10.1016/j.sbspro.2015.10.090
35 https://doi.org/10.1016/j.sbspro.2016.11.076
36 https://doi.org/10.1016/j.seps.2017.03.001
37 https://doi.org/10.1016/j.techfore.2016.07.014
38 https://doi.org/10.1057/palgrave.jit.2000013
39 https://doi.org/10.5897/ajbm11.2777
40 schema:datePublished 2019
41 schema:datePublishedReg 2019-01-01
42 schema:description This chapter explores the impact of manufacturing practices on supply chain performance. Four major manufacturing practices are studied: total quality management (TQM), just in time (JIT), machinery and equipment maintenance, and advanced manufacturing technology (AMT). The relationships between these manufacturing practices and supply chain performance benefits are proposed in a series of models. They are later tested and evaluated to determine their validity and statistical significance. Finally, the chapter proposes an integrative model to explore how manufacturing practices are interrelated.
43 schema:genre chapter
44 schema:inLanguage en
45 schema:isAccessibleForFree false
46 schema:isPartOf Na3a2e87219aa4c2abc2c45b5c7e2fcba
47 schema:name The Role of Manufacturing Practices in Supply Chain Performance
48 schema:pagination 343-372
49 schema:productId N3083532d10114c93ac4cd58e85fab79f
50 N8a78bc5332194e1688a001b7fde0b909
51 N8dd8640669bc49ef92af0daecc603088
52 schema:publisher Nabc0ed481b994beda2f861fe7873f15d
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105223686
54 https://doi.org/10.1007/978-3-319-93876-9_14
55 schema:sdDatePublished 2019-04-16T01:28
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher N4f2f9cba538d4632957630ac110f3307
58 schema:url http://link.springer.com/10.1007/978-3-319-93876-9_14
59 sgo:license sg:explorer/license/
60 sgo:sdDataset chapters
61 rdf:type schema:Chapter
62 N031db2c1f04a4ae48b0a98a0595d7d05 rdf:first sg:person.016311247122.92
63 rdf:rest N999378e5d18945e88e718f52c0b8579b
64 N17c2f70d7d7f405aa752149dd319fdbe rdf:first sg:person.012067025561.23
65 rdf:rest N031db2c1f04a4ae48b0a98a0595d7d05
66 N3083532d10114c93ac4cd58e85fab79f schema:name readcube_id
67 schema:value 3b2d631ed1de26a57957e6721d4927969a5ebadb7c5d504de2cb3172544a699f
68 rdf:type schema:PropertyValue
69 N4f2f9cba538d4632957630ac110f3307 schema:name Springer Nature - SN SciGraph project
70 rdf:type schema:Organization
71 N8a78bc5332194e1688a001b7fde0b909 schema:name dimensions_id
72 schema:value pub.1105223686
73 rdf:type schema:PropertyValue
74 N8dd8640669bc49ef92af0daecc603088 schema:name doi
75 schema:value 10.1007/978-3-319-93876-9_14
76 rdf:type schema:PropertyValue
77 N999378e5d18945e88e718f52c0b8579b rdf:first sg:person.0673470525.40
78 rdf:rest rdf:nil
79 Na3a2e87219aa4c2abc2c45b5c7e2fcba schema:isbn 978-3-319-93875-2
80 978-3-319-93876-9
81 schema:name Evaluation of Supply Chain Performance
82 rdf:type schema:Book
83 Nabc0ed481b994beda2f861fe7873f15d schema:location Cham
84 schema:name Springer International Publishing
85 rdf:type schema:Organisation
86 anzsrc-for:15 schema:inDefinedTermSet anzsrc-for:
87 schema:name Commerce, Management, Tourism and Services
88 rdf:type schema:DefinedTerm
89 anzsrc-for:1503 schema:inDefinedTermSet anzsrc-for:
90 schema:name Business and Management
91 rdf:type schema:DefinedTerm
92 sg:person.012067025561.23 schema:affiliation https://www.grid.ac/institutes/grid.441213.1
93 schema:familyName Avelar-Sosa
94 schema:givenName Liliana
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012067025561.23
96 rdf:type schema:Person
97 sg:person.016311247122.92 schema:affiliation https://www.grid.ac/institutes/grid.441213.1
98 schema:familyName García-Alcaraz
99 schema:givenName Jorge Luis
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016311247122.92
101 rdf:type schema:Person
102 sg:person.0673470525.40 schema:affiliation https://www.grid.ac/institutes/grid.441213.1
103 schema:familyName Maldonado-Macías
104 schema:givenName Aidé Aracely
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673470525.40
106 rdf:type schema:Person
107 sg:pub.10.1007/bf02744129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043454743
108 https://doi.org/10.1007/bf02744129
109 rdf:type schema:CreativeWork
110 sg:pub.10.1007/bf03396562 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092617407
111 https://doi.org/10.1007/bf03396562
112 rdf:type schema:CreativeWork
113 sg:pub.10.1007/s00170-015-8219-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013397723
114 https://doi.org/10.1007/s00170-015-8219-3
115 rdf:type schema:CreativeWork
116 sg:pub.10.1007/s00170-016-8399-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051197286
117 https://doi.org/10.1007/s00170-016-8399-5
118 rdf:type schema:CreativeWork
119 sg:pub.10.1007/s001700200008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000324354
120 https://doi.org/10.1007/s001700200008
121 rdf:type schema:CreativeWork
122 sg:pub.10.1007/s10479-012-1289-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022720949
123 https://doi.org/10.1007/s10479-012-1289-9
124 rdf:type schema:CreativeWork
125 sg:pub.10.1007/s11465-012-0330-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048917062
126 https://doi.org/10.1007/s11465-012-0330-7
127 rdf:type schema:CreativeWork
128 sg:pub.10.1007/s11573-015-0800-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047244373
129 https://doi.org/10.1007/s11573-015-0800-6
130 rdf:type schema:CreativeWork
131 sg:pub.10.1007/s12063-012-0074-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012700829
132 https://doi.org/10.1007/s12063-012-0074-x
133 rdf:type schema:CreativeWork
134 sg:pub.10.1007/s12247-010-9095-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1033906000
135 https://doi.org/10.1007/s12247-010-9095-x
136 rdf:type schema:CreativeWork
137 sg:pub.10.1007/s40032-011-0002-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019385339
138 https://doi.org/10.1007/s40032-011-0002-0
139 rdf:type schema:CreativeWork
140 sg:pub.10.1007/s40171-012-0002-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039460626
141 https://doi.org/10.1007/s40171-012-0002-9
142 rdf:type schema:CreativeWork
143 sg:pub.10.1023/a:1008634008759 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039851954
144 https://doi.org/10.1023/a:1008634008759
145 rdf:type schema:CreativeWork
146 sg:pub.10.1057/palgrave.jit.2000013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002107310
147 https://doi.org/10.1057/palgrave.jit.2000013
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/b978-0-08-100090-8.00002-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016445670
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/b978-0-12-811035-5.00001-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037116892
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/b978-0-12-811035-5.00002-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049919404
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/j.acme.2015.07.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003019343
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/j.cie.2017.06.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086041009
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/j.hitech.2010.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036190240
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.ijpe.2010.02.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043616804
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.ijpe.2017.03.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084082123
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.jclepro.2017.06.093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086035604
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.jmatprotec.2006.03.102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047308576
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.procir.2016.07.071 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031504222
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.procir.2017.03.154 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090603831
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.proeng.2013.01.084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040591305
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.promfg.2015.11.063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023969867
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.ress.2017.12.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100107841
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/j.sbspro.2015.07.361 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008908102
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.sbspro.2015.10.090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005738590
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/j.sbspro.2016.11.076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034157216
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/j.seps.2017.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084108358
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/j.techfore.2016.07.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035783512
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1057/palgrave.jit.2000013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002107310
190 rdf:type schema:CreativeWork
191 https://doi.org/10.5897/ajbm11.2777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073483015
192 rdf:type schema:CreativeWork
193 https://www.grid.ac/institutes/grid.441213.1 schema:alternateName Universidad Autónoma de Ciudad Juárez
194 schema:name Universidad Autónoma de Ciudad Juárez
195 rdf:type schema:Organization
 




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


...