{"id":"https://openalex.org/W7135023984","doi":"https://doi.org/10.1155/jama/4918539","title":"Optimization of Tomato Processing and Agrofarm Logistics Through Mathematical Programming","display_name":"Optimization of Tomato Processing and Agrofarm Logistics Through Mathematical Programming","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7135023984","doi":"https://doi.org/10.1155/jama/4918539"},"language":"en","primary_location":{"id":"doi:10.1155/jama/4918539","is_oa":true,"landing_page_url":"https://doi.org/10.1155/jama/4918539","pdf_url":null,"source":{"id":"https://openalex.org/S190082376","display_name":"Journal of Applied Mathematics","issn_l":"1110-757X","issn":["1110-757X","1687-0042"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Applied Mathematics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1155/jama/4918539","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001703551","display_name":"Bernard Atta Adjei","orcid":"https://orcid.org/0000-0001-5274-9791"},"institutions":[{"id":"https://openalex.org/I291863076","display_name":"University of Energy and Natural Resources","ror":"https://ror.org/05r9rzb75","country_code":"GH","type":"education","lineage":["https://openalex.org/I291863076"]}],"countries":["GH"],"is_corresponding":true,"raw_author_name":"Bernard Atta Adjei","raw_affiliation_strings":["Department of Mathematics and Statistics ,  University of Energy and Natural Resources ,  Sunyani ,  Ghana ,  uenr.edu.gh"],"raw_orcid":"https://orcid.org/0000-0001-5274-9791","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics ,  University of Energy and Natural Resources ,  Sunyani ,  Ghana ,  uenr.edu.gh","institution_ids":["https://openalex.org/I291863076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005124878","display_name":"Dominic Otoo","orcid":"https://orcid.org/0000-0002-4877-1977"},"institutions":[{"id":"https://openalex.org/I291863076","display_name":"University of Energy and Natural Resources","ror":"https://ror.org/05r9rzb75","country_code":"GH","type":"education","lineage":["https://openalex.org/I291863076"]}],"countries":["GH"],"is_corresponding":false,"raw_author_name":"Dominic Otoo","raw_affiliation_strings":["Department of Mathematics and Statistics ,  University of Energy and Natural Resources ,  Sunyani ,  Ghana ,  uenr.edu.gh"],"raw_orcid":"https://orcid.org/0000-0002-4877-1977","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics ,  University of Energy and Natural Resources ,  Sunyani ,  Ghana ,  uenr.edu.gh","institution_ids":["https://openalex.org/I291863076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015081398","display_name":"Charles Sebil","orcid":null},"institutions":[{"id":"https://openalex.org/I28046988","display_name":"Kwame Nkrumah University of Science and Technology","ror":"https://ror.org/00cb23x68","country_code":"GH","type":"education","lineage":["https://openalex.org/I28046988"]}],"countries":["GH"],"is_corresponding":false,"raw_author_name":"Charles Sebil","raw_affiliation_strings":["Department of Mathematics ,  Kwame Nkrumah University of Science and Technology ,  Kumasi ,  Ghana ,  knust.edu.gh"],"raw_orcid":"https://orcid.org/0000-0002-9125-1192","affiliations":[{"raw_affiliation_string":"Department of Mathematics ,  Kwame Nkrumah University of Science and Technology ,  Kumasi ,  Ghana ,  knust.edu.gh","institution_ids":["https://openalex.org/I28046988"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006097354","display_name":"Joseph Ackora-Prah","orcid":"https://orcid.org/0000-0001-9488-9610"},"institutions":[{"id":"https://openalex.org/I28046988","display_name":"Kwame Nkrumah University of Science and Technology","ror":"https://ror.org/00cb23x68","country_code":"GH","type":"education","lineage":["https://openalex.org/I28046988"]}],"countries":["GH"],"is_corresponding":false,"raw_author_name":"Joseph Ackora-Prah","raw_affiliation_strings":["Department of Mathematics ,  Kwame Nkrumah University of Science and Technology ,  Kumasi ,  Ghana ,  knust.edu.gh"],"raw_orcid":"https://orcid.org/0000-0001-9488-9610","affiliations":[{"raw_affiliation_string":"Department of Mathematics ,  Kwame Nkrumah University of Science and Technology ,  Kumasi ,  Ghana ,  knust.edu.gh","institution_ids":["https://openalex.org/I28046988"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001703551"],"corresponding_institution_ids":["https://openalex.org/I291863076"],"apc_list":{"value":1025,"currency":"USD","value_usd":1025},"apc_paid":{"value":1025,"currency":"USD","value_usd":1025},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39129206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2026","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.2624000012874603,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.2624000012874603,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.1808999925851822,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12583","display_name":"Food Waste Reduction and Sustainability","score":0.05730000138282776,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/profitability-index","display_name":"Profitability index","score":0.8583999872207642},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.742900013923645},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.7192000150680542},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.5758000016212463},{"id":"https://openalex.org/keywords/sustainability","display_name":"Sustainability","score":0.519599974155426},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.4812999963760376},{"id":"https://openalex.org/keywords/trips-architecture","display_name":"TRIPS architecture","score":0.453000009059906},{"id":"https://openalex.org/keywords/supply-and-demand","display_name":"Supply and demand","score":0.34360000491142273}],"concepts":[{"id":"https://openalex.org/C129361004","wikidata":"https://www.wikidata.org/wiki/Q2470236","display_name":"Profitability index","level":2,"score":0.8583999872207642},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.742900013923645},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.7192000150680542},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.5758000016212463},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.519599974155426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5181999802589417},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.4812999963760376},{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.453000009059906},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3937000036239624},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3878999948501587},{"id":"https://openalex.org/C120330832","wikidata":"https://www.wikidata.org/wiki/Q166656","display_name":"Supply and demand","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C44104985","wikidata":"https://www.wikidata.org/wiki/Q492886","display_name":"Supply chain management","level":3,"score":0.3393000066280365},{"id":"https://openalex.org/C2779150434","wikidata":"https://www.wikidata.org/wiki/Q7644532","display_name":"Supply chain optimization","level":4,"score":0.32710000872612},{"id":"https://openalex.org/C3018006300","wikidata":"https://www.wikidata.org/wiki/Q4402708","display_name":"Consumer demand","level":2,"score":0.32100000977516174},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C182299520","wikidata":"https://www.wikidata.org/wiki/Q1289588","display_name":"Total cost","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2872999906539917},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.28290000557899475},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C109332788","wikidata":"https://www.wikidata.org/wiki/Q615445","display_name":"Economic efficiency","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C88199923","wikidata":"https://www.wikidata.org/wiki/Q627371","display_name":"Food processing","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/jama/4918539","is_oa":true,"landing_page_url":"https://doi.org/10.1155/jama/4918539","pdf_url":null,"source":{"id":"https://openalex.org/S190082376","display_name":"Journal of Applied Mathematics","issn_l":"1110-757X","issn":["1110-757X","1687-0042"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Applied Mathematics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/jama/4918539","is_oa":true,"landing_page_url":"https://doi.org/10.1155/jama/4918539","pdf_url":null,"source":{"id":"https://openalex.org/S190082376","display_name":"Journal of Applied Mathematics","issn_l":"1110-757X","issn":["1110-757X","1687-0042"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Applied Mathematics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4119923710823059,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2001393175","https://openalex.org/W2022081244","https://openalex.org/W2076000201","https://openalex.org/W2461357994","https://openalex.org/W2566164559","https://openalex.org/W2738546395","https://openalex.org/W2740053362","https://openalex.org/W2754793854","https://openalex.org/W2769607398","https://openalex.org/W2791878122","https://openalex.org/W2858534193","https://openalex.org/W2885530059","https://openalex.org/W2889870720","https://openalex.org/W2942189309","https://openalex.org/W2943543207","https://openalex.org/W2954530744","https://openalex.org/W2956062026","https://openalex.org/W2957167035","https://openalex.org/W2990162588","https://openalex.org/W3015760428","https://openalex.org/W3016690262","https://openalex.org/W3021948564","https://openalex.org/W3046048052","https://openalex.org/W3093812028","https://openalex.org/W3135428057","https://openalex.org/W3188479648","https://openalex.org/W4210608734","https://openalex.org/W4210812111","https://openalex.org/W4292180731","https://openalex.org/W4321596886","https://openalex.org/W4323538043","https://openalex.org/W4387542288"],"related_works":[],"abstract_inverted_index":{"The":[0,99,147],"escalating":[1],"demand":[2,36],"for":[3,124,138,144,176],"processed":[4,73],"tomato":[5,15,89,164],"products":[6],"has":[7],"heightened":[8],"the":[9,18,67,76,85,88,110,118,121,145,163,184,192,203],"importance":[10],"of":[11,70,87,127,194],"agro\u2010allied":[12,77],"industries,":[13],"particularly":[14],"processing,":[16],"within":[17],"global":[19],"food":[20],"supply":[21,90],"chain.":[22],"However,":[23],"a":[24,60,107,115,125],"major":[25],"challenge":[26],"lies":[27],"in":[28,75,152],"optimizing":[29],"production":[30,104,154],"processes":[31],"to":[32,53,65,130,158,178],"meet":[33],"this":[34,42],"growing":[35],"while":[37],"minimizing":[38],"costs":[39],"efficiently.":[40],"In":[41],"study,":[43],"we":[44],"identify":[45],"and":[46,55,72,92,136,140,191],"explore":[47],"optimal":[48],"decision":[49],"values":[50],"that":[51],"lead":[52],"efficient":[54],"profitable":[56],"outcomes":[57],"by":[58],"formulating":[59],"mixed\u2010integer":[61],"linear":[62],"programming":[63],"model":[64,102],"analyze":[66],"economic":[68],"sustainability":[69],"fresh":[71,128],"tomatoes":[74,129],"industry.":[78],"This":[79],"paper":[80],"gives":[81],"important":[82],"information":[83],"about":[84],"dynamics":[86],"chain":[91],"offers":[93],"strategies":[94],"through":[95],"two":[96],"distinct":[97],"analyses.":[98],"first":[100,119],"analysis":[101,149],"uses":[103],"level":[105],"as":[106,114],"parameter,":[108],"whereas":[109],"second":[111,148],"treats":[112],"it":[113],"variable.":[116],"For":[117],"analysis,":[120],"threshold":[122],"prices":[123],"box":[126],"ensure":[131],"profitability":[132,160],"were":[133],"GH\u00a2846":[134],"($68.31)":[135],"above":[137],"farmers":[139,157],"below":[141],"GH\u00a2900":[142],"($72.75)":[143],"factory.":[146],"allows":[150],"flexibility":[151],"adjusting":[153],"levels,":[155],"enabling":[156],"achieve":[159],"even":[161],"when":[162],"price":[165],"is":[166],"GH\u00a2478":[167],"($38.55)":[168],"or":[169],"lower.":[170],"Optimal":[171],"farm":[172],"selection,":[173],"with":[174,202],"consideration":[175],"proximity":[177],"transfer":[179],"stations,":[180],"significantly":[181],"reduces":[182],"both":[183],"total":[185],"distance":[186],"traveled":[187],"(by":[188],"5095.00":[189],"km)":[190],"number":[193],"transportation":[195],"trips":[196],"required":[197],"(208":[198],"fewer":[199],"trips)":[200],"compared":[201],"existing":[204],"method.":[205]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-03-13T00:00:00"}
