Rescheduling unrelated parallel machines with total flow time and total disruption cost criteria View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-01

AUTHORS

M Ozlen, M Azizoğlu

ABSTRACT

In this paper, we consider a rescheduling problem where a set of jobs has already been assigned to unrelated parallel machines. When a disruption occurs on one of the machines, the affected jobs are rescheduled, considering the efficiency and the schedule deviation measures. The efficiency measure is the total flow time, and the schedule deviation measure is the total disruption cost caused by the differences between the initial and current schedules. We provide polynomial-time solution methods to the following hierarchical optimization problems: minimizing total disruption cost among the minimum total flow time schedules and minimizing total flow time among the minimum total disruption cost schedules. We propose exponential-time algorithms to generate all efficient solutions and to minimize a specified function of the measures. Our extensive computational tests on large size problem instances have revealed that our optimization algorithm finds the best solution by generating only a small portion of all efficient solutions. More... »

PAGES

152-164

References to SciGraph publications

  • 1996-12. Machine scheduling with an availability constraint in JOURNAL OF GLOBAL OPTIMIZATION
  • 1997-04. Rescheduling on a single machine with part-type dependent setup times and deadlines in ANNALS OF OPERATIONS RESEARCH
  • 2009-03. Searching optimal resequencing and feature assignment on an automated assembly line in JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
  • 2003-01. Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods in JOURNAL OF SCHEDULING
  • 1992-04. Single machine flow-time scheduling with scheduled maintenance in ACTA INFORMATICA
  • 2002-06. Reactive Recovery of Job Shop Schedules – A Review in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1057/jors.2009.157

    DOI

    http://dx.doi.org/10.1057/jors.2009.157

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1018295994


    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/2008/0103", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Numerical and Computational Mathematics", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "RMIT University", 
              "id": "https://www.grid.ac/institutes/grid.1017.7", 
              "name": [
                "RMIT University, Melbourne, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ozlen", 
            "givenName": "M", 
            "id": "sg:person.01151511254.56", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151511254.56"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Middle East Technical University", 
              "id": "https://www.grid.ac/institutes/grid.6935.9", 
              "name": [
                "Middle East Technical University, Ankara, Turkey"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Azizo\u011flu", 
            "givenName": "M", 
            "id": "sg:person.014025703403.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014025703403.06"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1002/(sici)1520-6750(200003)47:2<145::aid-nav5>3.0.co;2-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000926865"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001700200087", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005501513", 
              "https://doi.org/10.1007/s001700200087"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1057/palgrave.jors.2602533", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007753159", 
              "https://doi.org/10.1057/palgrave.jors.2602533"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0377-2217(97)00396-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008827651"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/002075497195074", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009352577"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0895-7177(94)90024-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010544764"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/00207540802043998", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011183719"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0360-8352(96)00114-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012982551"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/07408179908969872", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015474962"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1018955111939", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015653550", 
              "https://doi.org/10.1023/a:1018955111939"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/002075499189745", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016074967"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/00207540500103953", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016177912"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cor.2006.02.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021679352"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01178778", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021957033", 
              "https://doi.org/10.1007/bf01178778"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01178778", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021957033", 
              "https://doi.org/10.1007/bf01178778"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijpe.2005.05.021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022204928"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijpe.2005.05.021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022204928"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0377-2217(02)00499-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024036115"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0377-2217(02)00499-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024036115"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/(sici)1520-6750(199609)43:6<929::aid-nav9>3.0.co;2-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025007651"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/09537289608930367", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026764315"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/nav.10105", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027575037"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00121681", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028307783", 
              "https://doi.org/10.1007/bf00121681"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00121681", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028307783", 
              "https://doi.org/10.1007/bf00121681"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejor.2003.08.027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029396534"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0305-0548(85)90011-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032253147"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0305-0548(85)90011-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032253147"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/095119296131742", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032554183"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1081/00207540310001614132", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040928053"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1022235519958", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043898294", 
              "https://doi.org/10.1023/a:1022235519958"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0305-0548(93)90091-v", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048316759"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0305-0548(93)90091-v", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048316759"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/07408170490279598", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050549455"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/09511929208944524", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052565165"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/07408170500288133", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053027420"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/mnsc.41.2.363", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064721332"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/opre.1030.0101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064725578"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/opre.39.3.470", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064730232"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2011-01", 
        "datePublishedReg": "2011-01-01", 
        "description": "In this paper, we consider a rescheduling problem where a set of jobs has already been assigned to unrelated parallel machines. When a disruption occurs on one of the machines, the affected jobs are rescheduled, considering the efficiency and the schedule deviation measures. The efficiency measure is the total flow time, and the schedule deviation measure is the total disruption cost caused by the differences between the initial and current schedules. We provide polynomial-time solution methods to the following hierarchical optimization problems: minimizing total disruption cost among the minimum total flow time schedules and minimizing total flow time among the minimum total disruption cost schedules. We propose exponential-time algorithms to generate all efficient solutions and to minimize a specified function of the measures. Our extensive computational tests on large size problem instances have revealed that our optimization algorithm finds the best solution by generating only a small portion of all efficient solutions.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1057/jors.2009.157", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1087747", 
            "issn": [
              "0160-5682", 
              "1476-9360"
            ], 
            "name": "Journal of the Operational Research Society", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "62"
          }
        ], 
        "name": "Rescheduling unrelated parallel machines with total flow time and total disruption cost criteria", 
        "pagination": "152-164", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "572c9efb01c433aeafddf851f625451e087529d2af490ecf63bd8d54b56b3135"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1057/jors.2009.157"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1018295994"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1057/jors.2009.157", 
          "https://app.dimensions.ai/details/publication/pub.1018295994"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T14:06", 
        "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_8660_00000499.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1057/jors.2009.157"
      }
    ]
     

    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.10.1057/jors.2009.157'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1057/jors.2009.157'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1057/jors.2009.157'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1057/jors.2009.157'


     

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

    173 TRIPLES      21 PREDICATES      59 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1057/jors.2009.157 schema:about anzsrc-for:01
    2 anzsrc-for:0103
    3 schema:author Nd892e65afac742c9ac847dfb19f1f9ad
    4 schema:citation sg:pub.10.1007/bf00121681
    5 sg:pub.10.1007/bf01178778
    6 sg:pub.10.1007/s001700200087
    7 sg:pub.10.1023/a:1018955111939
    8 sg:pub.10.1023/a:1022235519958
    9 sg:pub.10.1057/palgrave.jors.2602533
    10 https://doi.org/10.1002/(sici)1520-6750(199609)43:6<929::aid-nav9>3.0.co;2-6
    11 https://doi.org/10.1002/(sici)1520-6750(200003)47:2<145::aid-nav5>3.0.co;2-3
    12 https://doi.org/10.1002/nav.10105
    13 https://doi.org/10.1016/0305-0548(85)90011-5
    14 https://doi.org/10.1016/0305-0548(93)90091-v
    15 https://doi.org/10.1016/0360-8352(96)00114-3
    16 https://doi.org/10.1016/0895-7177(94)90024-8
    17 https://doi.org/10.1016/j.cor.2006.02.006
    18 https://doi.org/10.1016/j.ejor.2003.08.027
    19 https://doi.org/10.1016/j.ijpe.2005.05.021
    20 https://doi.org/10.1016/s0377-2217(02)00499-x
    21 https://doi.org/10.1016/s0377-2217(97)00396-2
    22 https://doi.org/10.1080/00207540500103953
    23 https://doi.org/10.1080/00207540802043998
    24 https://doi.org/10.1080/002075497195074
    25 https://doi.org/10.1080/002075499189745
    26 https://doi.org/10.1080/07408170490279598
    27 https://doi.org/10.1080/07408170500288133
    28 https://doi.org/10.1080/07408179908969872
    29 https://doi.org/10.1080/09511929208944524
    30 https://doi.org/10.1080/095119296131742
    31 https://doi.org/10.1080/09537289608930367
    32 https://doi.org/10.1081/00207540310001614132
    33 https://doi.org/10.1287/mnsc.41.2.363
    34 https://doi.org/10.1287/opre.1030.0101
    35 https://doi.org/10.1287/opre.39.3.470
    36 schema:datePublished 2011-01
    37 schema:datePublishedReg 2011-01-01
    38 schema:description In this paper, we consider a rescheduling problem where a set of jobs has already been assigned to unrelated parallel machines. When a disruption occurs on one of the machines, the affected jobs are rescheduled, considering the efficiency and the schedule deviation measures. The efficiency measure is the total flow time, and the schedule deviation measure is the total disruption cost caused by the differences between the initial and current schedules. We provide polynomial-time solution methods to the following hierarchical optimization problems: minimizing total disruption cost among the minimum total flow time schedules and minimizing total flow time among the minimum total disruption cost schedules. We propose exponential-time algorithms to generate all efficient solutions and to minimize a specified function of the measures. Our extensive computational tests on large size problem instances have revealed that our optimization algorithm finds the best solution by generating only a small portion of all efficient solutions.
    39 schema:genre research_article
    40 schema:inLanguage en
    41 schema:isAccessibleForFree false
    42 schema:isPartOf N326fd51d5d1c4561a35c1c5ba7777367
    43 Nf0a8087db5d94fb7878035e4868cfe6d
    44 sg:journal.1087747
    45 schema:name Rescheduling unrelated parallel machines with total flow time and total disruption cost criteria
    46 schema:pagination 152-164
    47 schema:productId N886de63e61174aceaceedb329a9a8817
    48 N9d1b60ed600844bc984663b1c65729b8
    49 Nbe4c4bb934874947bfa829997b631def
    50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018295994
    51 https://doi.org/10.1057/jors.2009.157
    52 schema:sdDatePublished 2019-04-10T14:06
    53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    54 schema:sdPublisher N7b41510d2b3e443691134ba5a599e3ea
    55 schema:url http://link.springer.com/10.1057/jors.2009.157
    56 sgo:license sg:explorer/license/
    57 sgo:sdDataset articles
    58 rdf:type schema:ScholarlyArticle
    59 N326fd51d5d1c4561a35c1c5ba7777367 schema:issueNumber 1
    60 rdf:type schema:PublicationIssue
    61 N7b41510d2b3e443691134ba5a599e3ea schema:name Springer Nature - SN SciGraph project
    62 rdf:type schema:Organization
    63 N886de63e61174aceaceedb329a9a8817 schema:name readcube_id
    64 schema:value 572c9efb01c433aeafddf851f625451e087529d2af490ecf63bd8d54b56b3135
    65 rdf:type schema:PropertyValue
    66 N9d1b60ed600844bc984663b1c65729b8 schema:name dimensions_id
    67 schema:value pub.1018295994
    68 rdf:type schema:PropertyValue
    69 Nbe4c4bb934874947bfa829997b631def schema:name doi
    70 schema:value 10.1057/jors.2009.157
    71 rdf:type schema:PropertyValue
    72 Nc57d1c8aeb1e4bd6a381aadcb34ab796 rdf:first sg:person.014025703403.06
    73 rdf:rest rdf:nil
    74 Nd892e65afac742c9ac847dfb19f1f9ad rdf:first sg:person.01151511254.56
    75 rdf:rest Nc57d1c8aeb1e4bd6a381aadcb34ab796
    76 Nf0a8087db5d94fb7878035e4868cfe6d schema:volumeNumber 62
    77 rdf:type schema:PublicationVolume
    78 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
    79 schema:name Mathematical Sciences
    80 rdf:type schema:DefinedTerm
    81 anzsrc-for:0103 schema:inDefinedTermSet anzsrc-for:
    82 schema:name Numerical and Computational Mathematics
    83 rdf:type schema:DefinedTerm
    84 sg:journal.1087747 schema:issn 0160-5682
    85 1476-9360
    86 schema:name Journal of the Operational Research Society
    87 rdf:type schema:Periodical
    88 sg:person.01151511254.56 schema:affiliation https://www.grid.ac/institutes/grid.1017.7
    89 schema:familyName Ozlen
    90 schema:givenName M
    91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151511254.56
    92 rdf:type schema:Person
    93 sg:person.014025703403.06 schema:affiliation https://www.grid.ac/institutes/grid.6935.9
    94 schema:familyName Azizoğlu
    95 schema:givenName M
    96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014025703403.06
    97 rdf:type schema:Person
    98 sg:pub.10.1007/bf00121681 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028307783
    99 https://doi.org/10.1007/bf00121681
    100 rdf:type schema:CreativeWork
    101 sg:pub.10.1007/bf01178778 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021957033
    102 https://doi.org/10.1007/bf01178778
    103 rdf:type schema:CreativeWork
    104 sg:pub.10.1007/s001700200087 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005501513
    105 https://doi.org/10.1007/s001700200087
    106 rdf:type schema:CreativeWork
    107 sg:pub.10.1023/a:1018955111939 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015653550
    108 https://doi.org/10.1023/a:1018955111939
    109 rdf:type schema:CreativeWork
    110 sg:pub.10.1023/a:1022235519958 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043898294
    111 https://doi.org/10.1023/a:1022235519958
    112 rdf:type schema:CreativeWork
    113 sg:pub.10.1057/palgrave.jors.2602533 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007753159
    114 https://doi.org/10.1057/palgrave.jors.2602533
    115 rdf:type schema:CreativeWork
    116 https://doi.org/10.1002/(sici)1520-6750(199609)43:6<929::aid-nav9>3.0.co;2-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025007651
    117 rdf:type schema:CreativeWork
    118 https://doi.org/10.1002/(sici)1520-6750(200003)47:2<145::aid-nav5>3.0.co;2-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000926865
    119 rdf:type schema:CreativeWork
    120 https://doi.org/10.1002/nav.10105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027575037
    121 rdf:type schema:CreativeWork
    122 https://doi.org/10.1016/0305-0548(85)90011-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032253147
    123 rdf:type schema:CreativeWork
    124 https://doi.org/10.1016/0305-0548(93)90091-v schema:sameAs https://app.dimensions.ai/details/publication/pub.1048316759
    125 rdf:type schema:CreativeWork
    126 https://doi.org/10.1016/0360-8352(96)00114-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012982551
    127 rdf:type schema:CreativeWork
    128 https://doi.org/10.1016/0895-7177(94)90024-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010544764
    129 rdf:type schema:CreativeWork
    130 https://doi.org/10.1016/j.cor.2006.02.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021679352
    131 rdf:type schema:CreativeWork
    132 https://doi.org/10.1016/j.ejor.2003.08.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029396534
    133 rdf:type schema:CreativeWork
    134 https://doi.org/10.1016/j.ijpe.2005.05.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022204928
    135 rdf:type schema:CreativeWork
    136 https://doi.org/10.1016/s0377-2217(02)00499-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024036115
    137 rdf:type schema:CreativeWork
    138 https://doi.org/10.1016/s0377-2217(97)00396-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008827651
    139 rdf:type schema:CreativeWork
    140 https://doi.org/10.1080/00207540500103953 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016177912
    141 rdf:type schema:CreativeWork
    142 https://doi.org/10.1080/00207540802043998 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011183719
    143 rdf:type schema:CreativeWork
    144 https://doi.org/10.1080/002075497195074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009352577
    145 rdf:type schema:CreativeWork
    146 https://doi.org/10.1080/002075499189745 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016074967
    147 rdf:type schema:CreativeWork
    148 https://doi.org/10.1080/07408170490279598 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050549455
    149 rdf:type schema:CreativeWork
    150 https://doi.org/10.1080/07408170500288133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053027420
    151 rdf:type schema:CreativeWork
    152 https://doi.org/10.1080/07408179908969872 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015474962
    153 rdf:type schema:CreativeWork
    154 https://doi.org/10.1080/09511929208944524 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052565165
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.1080/095119296131742 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032554183
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.1080/09537289608930367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026764315
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.1081/00207540310001614132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040928053
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.1287/mnsc.41.2.363 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064721332
    163 rdf:type schema:CreativeWork
    164 https://doi.org/10.1287/opre.1030.0101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064725578
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1287/opre.39.3.470 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064730232
    167 rdf:type schema:CreativeWork
    168 https://www.grid.ac/institutes/grid.1017.7 schema:alternateName RMIT University
    169 schema:name RMIT University, Melbourne, Australia
    170 rdf:type schema:Organization
    171 https://www.grid.ac/institutes/grid.6935.9 schema:alternateName Middle East Technical University
    172 schema:name Middle East Technical University, Ankara, Turkey
    173 rdf:type schema:Organization
     




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


    ...