This work classifies examples of infrastructure interdependencies found in the food and agriculture critical infrastructure sector. Interdependencies are identified through an examination of rice and poultry agriculture throughout the state of Arkansas. The subtleties of interdependence examples in the food and agriculture sector are inadequately captured by the well-studied interdependence classification taxonomies. Through 39 interviews, we develop an understanding of the subtle temporal, geographic, and productivity scales of interdependence in over 100 examples and present five new, distinct classifications of interdependence: (1) dynamic physical, (2) dynamic geographic, (3) deadline, (4) delay, and (5) human, economic, and natural resource interdependencies. An analysis of these inter- dependencies and their intricacies provides the opportunity to generalize these ideas across other critical infrastructure sectors and model infrastructure restoration and resilience with greater concern for seasonality, resource scarcity, and punctuality.
","abstract_html":"<p>This work classifies examples of infrastructure interdependencies found in the food and agriculture critical infrastructure sector. Interdependencies are identified through an examination of rice and poultry agriculture throughout the state of Arkansas. The subtleties of interdependence examples in the food and agriculture sector are inadequately captured by the well-studied interdependence classification taxonomies. Through 39 interviews, we develop an understanding of the subtle temporal, geographic, and productivity scales of interdependence in over 100 examples and present five new, distinct classifications of interdependence: (1) dynamic physical, (2) dynamic geographic, (3) deadline, (4) delay, and (5) human, economic, and natural resource interdependencies. An analysis of these inter- dependencies and their intricacies provides the opportunity to generalize these ideas across other critical infrastructure sectors and model infrastructure restoration and resilience with greater concern for seasonality, resource scarcity, and punctuality.</p>","abstract_has_math":false,"creators":["Doerpinghaus, John"],"institution":null,"degree_name":"Master of Science in Industrial Engineering (MSIE)","degree_level":"Thesis","degree_discipline":null,"degree_department":null,"school":null,"contributors":["Sullivan, Kelly M.","Runkle, Benjamin R."],"advisors":["Nurre Pinkley, Sarah G."],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-12-01T08:00:00Z","date_published":"2018-12-01T08:00:00Z","updated_at":"2026-07-24T00:58:14Z","subjects":["food scarcity","productivity","Agribusiness","Agricultural Education","Operational Research","Operations and Supply Chain Management"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarworks.uark.edu/etd/3112","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sullivan, Kelly M.","Runkle, Benjamin R."]},{"key":"dc:contributor.advisor","label":"Advisor","values":["Nurre Pinkley, Sarah G."]},{"key":"dc:creator","label":"Author","values":["Doerpinghaus, John"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2020-01-11T08:00:00Z"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Industrial Engineering (MSIE)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["food scarcity","productivity","Agribusiness","Agricultural Education","Operational Research","Operations and Supply Chain Management"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarworks.uark.edu/etd/3112"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This work classifies examples of infrastructure interdependencies found in the food and agriculture critical infrastructure sector. Interdependencies are identified through an examination of rice and poultry agriculture throughout the state of Arkansas. The subtleties of interdependence examples in the food and agriculture sector are inadequately captured by the well-studied interdependence classification taxonomies. Through 39 interviews, we develop an understanding of the subtle temporal, geographic, and productivity scales of interdependence in over 100 examples and present five new, distinct classifications of interdependence: (1) dynamic physical, (2) dynamic geographic, (3) deadline, (4) delay, and (5) human, economic, and natural resource interdependencies. An analysis of these inter- dependencies and their intricacies provides the opportunity to generalize these ideas across other critical infrastructure sectors and model infrastructure restoration and resilience with greater concern for seasonality, resource scarcity, and punctuality.
"]},{"key":"dc:title","label":"Title","values":["Classifying Interdependencies in the Food and Agriculture Critical Infrastructure Sector"]}]}],"canonical_facts":{"dc:contributor":["Sullivan, Kelly M.","Runkle, Benjamin R."],"dc:contributor.advisor":["Nurre Pinkley, Sarah G."],"dc:creator":["Doerpinghaus, John"],"dc:date":["2018"],"dc:date.available":["2020-01-11T08:00:00Z"],"dc:description.abstract":["This work classifies examples of infrastructure interdependencies found in the food and agriculture critical infrastructure sector. Interdependencies are identified through an examination of rice and poultry agriculture throughout the state of Arkansas. The subtleties of interdependence examples in the food and agriculture sector are inadequately captured by the well-studied interdependence classification taxonomies. Through 39 interviews, we develop an understanding of the subtle temporal, geographic, and productivity scales of interdependence in over 100 examples and present five new, distinct classifications of interdependence: (1) dynamic physical, (2) dynamic geographic, (3) deadline, (4) delay, and (5) human, economic, and natural resource interdependencies. An analysis of these inter- dependencies and their intricacies provides the opportunity to generalize these ideas across other critical infrastructure sectors and model infrastructure restoration and resilience with greater concern for seasonality, resource scarcity, and punctuality.
"],"dc:identifier":["https://scholarworks.uark.edu/etd/3112"],"dc:subject":["food scarcity","productivity","Agribusiness","Agricultural Education","Operational Research","Operations and Supply Chain Management"],"dc:title":["Classifying Interdependencies in the Food and Agriculture Critical Infrastructure Sector"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science in Industrial Engineering (MSIE)"]},"updated_at":"2026-07-24T00:58:14Z"}