Service network design for freight railway transportation: the Italian case View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-12

AUTHORS

G Lulli, U Pietropaoli, N Ricciardi

ABSTRACT

In this paper, we present a case study on freight railway transportation in Italy, which is a by-product of research collaboration with a major Italian railway company. We highlight the main features of the Italian reality and propose a customized mathematical model to design the service network, that is, the set of origin-destination connections. More specifically, the model suggests the services to provide, the number of trains travelling on each connection, the number of cars and their type. We consider both full and empty freight car movements and take handling costs into account. All decisions are taken in order to minimize the total costs. The quality of service is guaranteed by satisfying all the transportation demand and by implicitly minimizing the waiting time of cars at intermediate railway stations. Our approach yields to a multi-commodity network design problem with a concave cost function. To solve this problem, we implement a specialized tabu search procedure. Computational results on realistic instances show a significant improvement over current practice. More... »

PAGES

2107-2119

References to SciGraph publications

  • 1998-01. An application of genetic and tabu searches to the freight railroad operating plan problem in ANNALS OF OPERATIONS RESEARCH
  • 2009-03. Designing new European rail freight services in JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
  • 2008-07. Optimal network configuration and capacity expansion of railroads in JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
  • 1990-12. Minimum concave-cost network flow problems: Applications, complexity, and algorithms in ANNALS OF OPERATIONS RESEARCH
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1057/jors.2010.190

    DOI

    http://dx.doi.org/10.1057/jors.2010.190

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1005125307


    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/2008/0102", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Applied 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": "University of Milano-Bicocca", 
              "id": "https://www.grid.ac/institutes/grid.7563.7", 
              "name": [
                "Universit\u00e0 di Milano \u2018Bicocca\u2019, Milano, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lulli", 
            "givenName": "G", 
            "id": "sg:person.014733115715.82", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014733115715.82"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Rome Tor Vergata", 
              "id": "https://www.grid.ac/institutes/grid.6530.0", 
              "name": [
                "Universit\u00e0 di Roma \u2018Tor Vergata\u2019, Roma, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pietropaoli", 
            "givenName": "U", 
            "id": "sg:person.010164540511.64", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010164540511.64"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Sapienza University of Rome", 
              "id": "https://www.grid.ac/institutes/grid.7841.a", 
              "name": [
                "Sapienza Universit\u00e0 di Roma, Roma, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ricciardi", 
            "givenName": "N", 
            "id": "sg:person.011026051643.76", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011026051643.76"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.tra.2006.11.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000474947"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0377-2217(96)00298-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003091281"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1057/palgrave.jors.2602559", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005256322", 
              "https://doi.org/10.1057/palgrave.jors.2602559"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0377-2217(99)00233-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009103381"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02283688", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013770197", 
              "https://doi.org/10.1007/bf02283688"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02283688", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013770197", 
              "https://doi.org/10.1007/bf02283688"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1057/palgrave.jors.2602403", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021169402", 
              "https://doi.org/10.1057/palgrave.jors.2602403"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1366-5545(97)00022-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022574208"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0377-2217(95)00193-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028165516"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1018906301828", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042674900", 
              "https://doi.org/10.1023/a:1018906301828"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1571-0661(04)80528-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042806771"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0377-2217(94)00334-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047915438"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/ijoc.1.3.190", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064706391"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/ijoc.2.1.4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064707137"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/inte.1070.0295", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064708054"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/opre.46.2.247", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064731033"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/opre.48.4.603.12416", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064731261"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/trsc.1030.0061", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064734098"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/trsc.18.1.1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064734679"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/trsc.21.4.227", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064735075"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/trsc.32.2.163", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064735463"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/trsc.32.4.306", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064735475"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/trsc.32.4.330", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064735476"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/trsc.32.4.380", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064735480"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2011-12", 
        "datePublishedReg": "2011-12-01", 
        "description": "In this paper, we present a case study on freight railway transportation in Italy, which is a by-product of research collaboration with a major Italian railway company. We highlight the main features of the Italian reality and propose a customized mathematical model to design the service network, that is, the set of origin-destination connections. More specifically, the model suggests the services to provide, the number of trains travelling on each connection, the number of cars and their type. We consider both full and empty freight car movements and take handling costs into account. All decisions are taken in order to minimize the total costs. The quality of service is guaranteed by satisfying all the transportation demand and by implicitly minimizing the waiting time of cars at intermediate railway stations. Our approach yields to a multi-commodity network design problem with a concave cost function. To solve this problem, we implement a specialized tabu search procedure. Computational results on realistic instances show a significant improvement over current practice.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1057/jors.2010.190", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1087747", 
            "issn": [
              "0160-5682", 
              "1476-9360"
            ], 
            "name": "Journal of the Operational Research Society", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "12", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "62"
          }
        ], 
        "name": "Service network design for freight railway transportation: the Italian case", 
        "pagination": "2107-2119", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "186b4d931acbd5c9263410c674be8dc68ad87e628455d28a274810d3a369c0a6"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1057/jors.2010.190"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1005125307"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1057/jors.2010.190", 
          "https://app.dimensions.ai/details/publication/pub.1005125307"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T19:05", 
        "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_8678_00000498.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1057/jors.2010.190"
      }
    ]
     

    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.2010.190'

    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.2010.190'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1057/jors.2010.190'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1057/jors.2010.190'


     

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

    154 TRIPLES      21 PREDICATES      50 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1057/jors.2010.190 schema:about anzsrc-for:01
    2 anzsrc-for:0102
    3 schema:author N98c5bee8b1964f6cb881cc2f46e8b81d
    4 schema:citation sg:pub.10.1007/bf02283688
    5 sg:pub.10.1023/a:1018906301828
    6 sg:pub.10.1057/palgrave.jors.2602403
    7 sg:pub.10.1057/palgrave.jors.2602559
    8 https://doi.org/10.1016/0377-2217(94)00334-3
    9 https://doi.org/10.1016/0377-2217(95)00193-x
    10 https://doi.org/10.1016/j.tra.2006.11.005
    11 https://doi.org/10.1016/s0377-2217(96)00298-6
    12 https://doi.org/10.1016/s0377-2217(99)00233-7
    13 https://doi.org/10.1016/s1366-5545(97)00022-7
    14 https://doi.org/10.1016/s1571-0661(04)80528-0
    15 https://doi.org/10.1287/ijoc.1.3.190
    16 https://doi.org/10.1287/ijoc.2.1.4
    17 https://doi.org/10.1287/inte.1070.0295
    18 https://doi.org/10.1287/opre.46.2.247
    19 https://doi.org/10.1287/opre.48.4.603.12416
    20 https://doi.org/10.1287/trsc.1030.0061
    21 https://doi.org/10.1287/trsc.18.1.1
    22 https://doi.org/10.1287/trsc.21.4.227
    23 https://doi.org/10.1287/trsc.32.2.163
    24 https://doi.org/10.1287/trsc.32.4.306
    25 https://doi.org/10.1287/trsc.32.4.330
    26 https://doi.org/10.1287/trsc.32.4.380
    27 schema:datePublished 2011-12
    28 schema:datePublishedReg 2011-12-01
    29 schema:description In this paper, we present a case study on freight railway transportation in Italy, which is a by-product of research collaboration with a major Italian railway company. We highlight the main features of the Italian reality and propose a customized mathematical model to design the service network, that is, the set of origin-destination connections. More specifically, the model suggests the services to provide, the number of trains travelling on each connection, the number of cars and their type. We consider both full and empty freight car movements and take handling costs into account. All decisions are taken in order to minimize the total costs. The quality of service is guaranteed by satisfying all the transportation demand and by implicitly minimizing the waiting time of cars at intermediate railway stations. Our approach yields to a multi-commodity network design problem with a concave cost function. To solve this problem, we implement a specialized tabu search procedure. Computational results on realistic instances show a significant improvement over current practice.
    30 schema:genre research_article
    31 schema:inLanguage en
    32 schema:isAccessibleForFree false
    33 schema:isPartOf N7da87ae4148d45b98e8770b806339870
    34 Na93059bccfbc46b6a64cad43a41abeee
    35 sg:journal.1087747
    36 schema:name Service network design for freight railway transportation: the Italian case
    37 schema:pagination 2107-2119
    38 schema:productId N47054e09b2354e85bde981d68226918a
    39 N56c3fb33d0464a68bda414a3cd0a0684
    40 N716dd3a514de434792b0e85ba514e71d
    41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005125307
    42 https://doi.org/10.1057/jors.2010.190
    43 schema:sdDatePublished 2019-04-10T19:05
    44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    45 schema:sdPublisher N2adcd5389a6045b7be0ee9fbfd9fef8b
    46 schema:url http://link.springer.com/10.1057/jors.2010.190
    47 sgo:license sg:explorer/license/
    48 sgo:sdDataset articles
    49 rdf:type schema:ScholarlyArticle
    50 N2adcd5389a6045b7be0ee9fbfd9fef8b schema:name Springer Nature - SN SciGraph project
    51 rdf:type schema:Organization
    52 N47054e09b2354e85bde981d68226918a schema:name readcube_id
    53 schema:value 186b4d931acbd5c9263410c674be8dc68ad87e628455d28a274810d3a369c0a6
    54 rdf:type schema:PropertyValue
    55 N542e67bb1451475bbf124a28255fffa4 rdf:first sg:person.010164540511.64
    56 rdf:rest N7beba7de33064a0086a2c957abf69c17
    57 N56c3fb33d0464a68bda414a3cd0a0684 schema:name doi
    58 schema:value 10.1057/jors.2010.190
    59 rdf:type schema:PropertyValue
    60 N716dd3a514de434792b0e85ba514e71d schema:name dimensions_id
    61 schema:value pub.1005125307
    62 rdf:type schema:PropertyValue
    63 N7beba7de33064a0086a2c957abf69c17 rdf:first sg:person.011026051643.76
    64 rdf:rest rdf:nil
    65 N7da87ae4148d45b98e8770b806339870 schema:volumeNumber 62
    66 rdf:type schema:PublicationVolume
    67 N98c5bee8b1964f6cb881cc2f46e8b81d rdf:first sg:person.014733115715.82
    68 rdf:rest N542e67bb1451475bbf124a28255fffa4
    69 Na93059bccfbc46b6a64cad43a41abeee schema:issueNumber 12
    70 rdf:type schema:PublicationIssue
    71 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
    72 schema:name Mathematical Sciences
    73 rdf:type schema:DefinedTerm
    74 anzsrc-for:0102 schema:inDefinedTermSet anzsrc-for:
    75 schema:name Applied Mathematics
    76 rdf:type schema:DefinedTerm
    77 sg:journal.1087747 schema:issn 0160-5682
    78 1476-9360
    79 schema:name Journal of the Operational Research Society
    80 rdf:type schema:Periodical
    81 sg:person.010164540511.64 schema:affiliation https://www.grid.ac/institutes/grid.6530.0
    82 schema:familyName Pietropaoli
    83 schema:givenName U
    84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010164540511.64
    85 rdf:type schema:Person
    86 sg:person.011026051643.76 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
    87 schema:familyName Ricciardi
    88 schema:givenName N
    89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011026051643.76
    90 rdf:type schema:Person
    91 sg:person.014733115715.82 schema:affiliation https://www.grid.ac/institutes/grid.7563.7
    92 schema:familyName Lulli
    93 schema:givenName G
    94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014733115715.82
    95 rdf:type schema:Person
    96 sg:pub.10.1007/bf02283688 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013770197
    97 https://doi.org/10.1007/bf02283688
    98 rdf:type schema:CreativeWork
    99 sg:pub.10.1023/a:1018906301828 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042674900
    100 https://doi.org/10.1023/a:1018906301828
    101 rdf:type schema:CreativeWork
    102 sg:pub.10.1057/palgrave.jors.2602403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021169402
    103 https://doi.org/10.1057/palgrave.jors.2602403
    104 rdf:type schema:CreativeWork
    105 sg:pub.10.1057/palgrave.jors.2602559 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005256322
    106 https://doi.org/10.1057/palgrave.jors.2602559
    107 rdf:type schema:CreativeWork
    108 https://doi.org/10.1016/0377-2217(94)00334-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047915438
    109 rdf:type schema:CreativeWork
    110 https://doi.org/10.1016/0377-2217(95)00193-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028165516
    111 rdf:type schema:CreativeWork
    112 https://doi.org/10.1016/j.tra.2006.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000474947
    113 rdf:type schema:CreativeWork
    114 https://doi.org/10.1016/s0377-2217(96)00298-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003091281
    115 rdf:type schema:CreativeWork
    116 https://doi.org/10.1016/s0377-2217(99)00233-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009103381
    117 rdf:type schema:CreativeWork
    118 https://doi.org/10.1016/s1366-5545(97)00022-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022574208
    119 rdf:type schema:CreativeWork
    120 https://doi.org/10.1016/s1571-0661(04)80528-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042806771
    121 rdf:type schema:CreativeWork
    122 https://doi.org/10.1287/ijoc.1.3.190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064706391
    123 rdf:type schema:CreativeWork
    124 https://doi.org/10.1287/ijoc.2.1.4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064707137
    125 rdf:type schema:CreativeWork
    126 https://doi.org/10.1287/inte.1070.0295 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064708054
    127 rdf:type schema:CreativeWork
    128 https://doi.org/10.1287/opre.46.2.247 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064731033
    129 rdf:type schema:CreativeWork
    130 https://doi.org/10.1287/opre.48.4.603.12416 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064731261
    131 rdf:type schema:CreativeWork
    132 https://doi.org/10.1287/trsc.1030.0061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064734098
    133 rdf:type schema:CreativeWork
    134 https://doi.org/10.1287/trsc.18.1.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064734679
    135 rdf:type schema:CreativeWork
    136 https://doi.org/10.1287/trsc.21.4.227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064735075
    137 rdf:type schema:CreativeWork
    138 https://doi.org/10.1287/trsc.32.2.163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064735463
    139 rdf:type schema:CreativeWork
    140 https://doi.org/10.1287/trsc.32.4.306 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064735475
    141 rdf:type schema:CreativeWork
    142 https://doi.org/10.1287/trsc.32.4.330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064735476
    143 rdf:type schema:CreativeWork
    144 https://doi.org/10.1287/trsc.32.4.380 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064735480
    145 rdf:type schema:CreativeWork
    146 https://www.grid.ac/institutes/grid.6530.0 schema:alternateName University of Rome Tor Vergata
    147 schema:name Università di Roma ‘Tor Vergata’, Roma, Italy
    148 rdf:type schema:Organization
    149 https://www.grid.ac/institutes/grid.7563.7 schema:alternateName University of Milano-Bicocca
    150 schema:name Università di Milano ‘Bicocca’, Milano, Italy
    151 rdf:type schema:Organization
    152 https://www.grid.ac/institutes/grid.7841.a schema:alternateName Sapienza University of Rome
    153 schema:name Sapienza Università di Roma, Roma, Italy
    154 rdf:type schema:Organization
     




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


    ...