{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/49811"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/49811","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Optimization in a system of systems: Minimizing a farm's environmental impact through operational efficiency","abstract":"Life cycle assessments (LCA’s) are performed for many combine harvester, tractor, and planter models. The machines will be considered for selection by a farming system seeking to accomplish certain tasks on a farm of fixed acreage over a projected time horizon. Metrics are designated for each machine type to compare the capabilities and expected environmental impacts of machines with similar functions. A system-of-systems approach is applied to the farming operation’s decisions regarding the selection and use of its agricultural machinery. The goal is to minimize the farm’s total environmental impact by selecting an optimal portfolio of machinery and determining the annual usage intensity of each machine. LCA’s are performed to generate each machine’s fixed and variable environmental impacts. Environmental impacts will be represented in units of kilograms of carbon dioxide equivalent (kg CO2e) as measured by IPCC Global Warming Potential 100a using SimaPro 7. Manufacturing phase and end-of-life phase impacts are considered fixed environmental impacts that are accrued upon the machine’s selection into the farming system. Maintenance phase and usage phase impacts depend on the usage demand of the machine so are therefore considered variable environmental impacts. The optimal portfolio and prescribed usage patterns will differ based on the farm’s acreage and projected time horizon. The model also has the ability to limit the amount of time devoted to a single operation such as planting or harvesting. This time constraint can represent labor availability, weather uncertainty, plant maturity timelines, or anything else that could influence the system’s productivity requirement. Both publicly available and proprietary data, supplied by an industry partner, are analyzed to produce high-integrity LCA scores for each machine. Selective data and distinguishing characteristics of machines will be masked or excluded from this report to preserve its confidentiality. Results are simulated and reported for farming systems varying in size and time horizon. Conclusions about the general trends and sensitivities of input variables are drawn based on results from additional simulations.","abstract_html":"Life cycle assessments (LCA’s) are performed for many combine harvester, tractor, and planter models. The machines will be considered for selection by a farming system seeking to accomplish certain tasks on a farm of fixed acreage over a projected time horizon. Metrics are designated for each machine type to compare the capabilities and expected environmental impacts of machines with similar functions. A system-of-systems approach is applied to the farming operation’s decisions regarding the selection and use of its agricultural machinery. The goal is to minimize the farm’s total environmental impact by selecting an optimal portfolio of machinery and determining the annual usage intensity of each machine. LCA’s are performed to generate each machine’s fixed and variable environmental impacts. Environmental impacts will be represented in units of kilograms of carbon dioxide equivalent (kg CO2e) as measured by IPCC Global Warming Potential 100a using SimaPro 7. Manufacturing phase and end-of-life phase impacts are considered fixed environmental impacts that are accrued upon the machine’s selection into the farming system. Maintenance phase and usage phase impacts depend on the usage demand of the machine so are therefore considered variable environmental impacts. The optimal portfolio and prescribed usage patterns will differ based on the farm’s acreage and projected time horizon. The model also has the ability to limit the amount of time devoted to a single operation such as planting or harvesting. This time constraint can represent labor availability, weather uncertainty, plant maturity timelines, or anything else that could influence the system’s productivity requirement. Both publicly available and proprietary data, supplied by an industry partner, are analyzed to produce high-integrity LCA scores for each machine. Selective data and distinguishing characteristics of machines will be masked or excluded from this report to preserve its confidentiality. Results are simulated and reported for farming systems varying in size and time horizon. Conclusions about the general trends and sensitivities of input variables are drawn based on results from additional simulations.","abstract_has_math":false,"creators":["Koritz, Katherine"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Systems & Entrepreneurial Engr","degree_department":null,"school":null,"contributors":["Kim, Harrison H.M."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-05-30T17:18:52Z","date_published":"2014-05-30T17:18:52Z","updated_at":"2026-07-22T22:25:40Z","subjects":["Life Cycle Assessment (LCA)","Fleet Optimization","Farming Systems","John Deere"],"languages":["en"],"rights":["Copyright 2014 Katherine Mary Koritz"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/49811","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kim, Harrison H.M."]},{"key":"dc:creator","label":"Author","values":["Koritz, Katherine"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2014-05-30T17:18:52Z","2016-09-22T20:59:28Z","2014-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Systems & Entrepreneurial Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Life Cycle Assessment (LCA)","Fleet Optimization","Farming Systems","John Deere"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2014 Katherine Mary Koritz"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/49811"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Life cycle assessments (LCA’s) are performed for many combine harvester, tractor, and planter models. The machines will be considered for selection by a farming system seeking to accomplish certain tasks on a farm of fixed acreage over a projected time horizon. Metrics are designated for each machine type to compare the capabilities and expected environmental impacts of machines with similar functions. A system-of-systems approach is applied to the farming operation’s decisions regarding the selection and use of its agricultural machinery. The goal is to minimize the farm’s total environmental impact by selecting an optimal portfolio of machinery and determining the annual usage intensity of each machine. LCA’s are performed to generate each machine’s fixed and variable environmental impacts. Environmental impacts will be represented in units of kilograms of carbon dioxide equivalent (kg CO2e) as measured by IPCC Global Warming Potential 100a using SimaPro 7. Manufacturing phase and end-of-life phase impacts are considered fixed environmental impacts that are accrued upon the machine’s selection into the farming system. Maintenance phase and usage phase impacts depend on the usage demand of the machine so are therefore considered variable environmental impacts. The optimal portfolio and prescribed usage patterns will differ based on the farm’s acreage and projected time horizon. The model also has the ability to limit the amount of time devoted to a single operation such as planting or harvesting. This time constraint can represent labor availability, weather uncertainty, plant maturity timelines, or anything else that could influence the system’s productivity requirement. Both publicly available and proprietary data, supplied by an industry partner, are analyzed to produce high-integrity LCA scores for each machine. Selective data and distinguishing characteristics of machines will be masked or excluded from this report to preserve its confidentiality. Results are simulated and reported for farming systems varying in size and time horizon. Conclusions about the general trends and sensitivities of input variables are drawn based on results from additional simulations.","Item withdrawn by Laura Spradlin (lspradl2@illinois.edu) on 2014-05-02T17:55:41Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Koritz Thesis Document 2014 Final.docx: 1208457 bytes, checksum: 8c1fc7ebea567fe06dcf006e5a6aa812 (MD5) Koritz_Katherine.pdf: 889664 bytes, checksum: 18d110d3b4b5d4cecf348dce29d70b95 (MD5)","Made available in DSpace on 2014-05-30T17:18:52Z (GMT). No. of bitstreams: 3 Katherine_Koritz.pdf: 889664 bytes, checksum: 18d110d3b4b5d4cecf348dce29d70b95 (MD5) Koritz Thesis Document 2014 Final.docx: 1208457 bytes, checksum: 8c1fc7ebea567fe06dcf006e5a6aa812 (MD5) license.txt: 4065 bytes, checksum: 70e16e91f42ad53a5e55bb54ad236ae7 (MD5)","Restriction data tranferred 2014-07-01T11:39:43-05:00 Original Data Group with Access Administrator Release Date: 2016-05-30 12:21:23 UTC Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Item marked as restricted to the 'Administrator' Group (id=1) by Seth Robbins (robbins.sd@gmail.com) on 2014-05-30T17:21:35Z Item is restricted until 2016-05-30T17:21:23Z","Limited Restriction Lifted for Item 49862 on 2016-09-22T20:59:28Z."]},{"key":"dc:title","label":"Title","values":["Optimization in a system of systems: Minimizing a farm's environmental impact through operational efficiency"]}]}],"canonical_facts":{"dc:contributor":["Kim, Harrison H.M."],"dc:creator":["Koritz, Katherine"],"dc:date":["2014-05-30T17:18:52Z","2016-09-22T20:59:28Z","2014-05"],"dc:description":["Life cycle assessments (LCA’s) are performed for many combine harvester, tractor, and planter models. The machines will be considered for selection by a farming system seeking to accomplish certain tasks on a farm of fixed acreage over a projected time horizon. Metrics are designated for each machine type to compare the capabilities and expected environmental impacts of machines with similar functions. A system-of-systems approach is applied to the farming operation’s decisions regarding the selection and use of its agricultural machinery. The goal is to minimize the farm’s total environmental impact by selecting an optimal portfolio of machinery and determining the annual usage intensity of each machine. LCA’s are performed to generate each machine’s fixed and variable environmental impacts. Environmental impacts will be represented in units of kilograms of carbon dioxide equivalent (kg CO2e) as measured by IPCC Global Warming Potential 100a using SimaPro 7. Manufacturing phase and end-of-life phase impacts are considered fixed environmental impacts that are accrued upon the machine’s selection into the farming system. Maintenance phase and usage phase impacts depend on the usage demand of the machine so are therefore considered variable environmental impacts. The optimal portfolio and prescribed usage patterns will differ based on the farm’s acreage and projected time horizon. The model also has the ability to limit the amount of time devoted to a single operation such as planting or harvesting. This time constraint can represent labor availability, weather uncertainty, plant maturity timelines, or anything else that could influence the system’s productivity requirement. Both publicly available and proprietary data, supplied by an industry partner, are analyzed to produce high-integrity LCA scores for each machine. Selective data and distinguishing characteristics of machines will be masked or excluded from this report to preserve its confidentiality. Results are simulated and reported for farming systems varying in size and time horizon. Conclusions about the general trends and sensitivities of input variables are drawn based on results from additional simulations.","Item withdrawn by Laura Spradlin (lspradl2@illinois.edu) on 2014-05-02T17:55:41Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Koritz Thesis Document 2014 Final.docx: 1208457 bytes, checksum: 8c1fc7ebea567fe06dcf006e5a6aa812 (MD5) Koritz_Katherine.pdf: 889664 bytes, checksum: 18d110d3b4b5d4cecf348dce29d70b95 (MD5)","Made available in DSpace on 2014-05-30T17:18:52Z (GMT). No. of bitstreams: 3 Katherine_Koritz.pdf: 889664 bytes, checksum: 18d110d3b4b5d4cecf348dce29d70b95 (MD5) Koritz Thesis Document 2014 Final.docx: 1208457 bytes, checksum: 8c1fc7ebea567fe06dcf006e5a6aa812 (MD5) license.txt: 4065 bytes, checksum: 70e16e91f42ad53a5e55bb54ad236ae7 (MD5)","Restriction data tranferred 2014-07-01T11:39:43-05:00 Original Data Group with Access Administrator Release Date: 2016-05-30 12:21:23 UTC Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Item marked as restricted to the 'Administrator' Group (id=1) by Seth Robbins (robbins.sd@gmail.com) on 2014-05-30T17:21:35Z Item is restricted until 2016-05-30T17:21:23Z","Limited Restriction Lifted for Item 49862 on 2016-09-22T20:59:28Z."],"dc:identifier":["http://hdl.handle.net/2142/49811"],"dc:language":["en"],"dc:rights":["Copyright 2014 Katherine Mary Koritz"],"dc:subject":["Life Cycle Assessment (LCA)","Fleet Optimization","Farming Systems","John Deere"],"dc:title":["Optimization in a system of systems: Minimizing a farm's environmental impact through operational efficiency"],"dc:type":["text"],"thesis:degree_discipline":["Systems & Entrepreneurial Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:40Z"}