A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life

The food distribution process is responsible for significant quality loss in perishable products. However, preserving quality is costly and consumes a tremendous amount of energy. To tackle the challenge of minimizing transportation costs and CO2 emissions while also maximizing product freshness, a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Sustainability 2020-08, Vol.12 (16), p.6668
Hauptverfasser: Gharehyakheh, Amin, Krejci, Caroline C., Cantu, Jaime, Rogers, K. Jamie
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 16
container_start_page 6668
container_title Sustainability
container_volume 12
creator Gharehyakheh, Amin
Krejci, Caroline C.
Cantu, Jaime
Rogers, K. Jamie
description The food distribution process is responsible for significant quality loss in perishable products. However, preserving quality is costly and consumes a tremendous amount of energy. To tackle the challenge of minimizing transportation costs and CO2 emissions while also maximizing product freshness, a novel multi-objective model is proposed. The model integrates a vehicle routing problem with temperature, shelf life, and energy consumption prediction models, thereby enhancing its accuracy. Non-dominated sorting genetic algorithm II is adapted to solve the proposed model for the set of Solomon test data. The conflicting nature of these objectives and the sensitivity of the model to shelf life and shipping container temperature settings are analyzed. The results show that optimizing freshness objective degrade the cost and the emission objectives, and the distribution of perishable foods are sensible to the shelf life of the perishable foods and temperature settings inside the container.
doi_str_mv 10.3390/su12166668
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2436233432</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2436233432</sourcerecordid><originalsourceid>FETCH-LOGICAL-c295t-22e6ce6a7aae69fa5d58a6cd792c5a8247b416e7adb8606377225ad1a562e8cc3</originalsourceid><addsrcrecordid>eNpNkF9LwzAUxYsoOOZe_AQB34Rqk7Rp-zjmpoONDTZ9LWlyazPaZuaP4Bfx8xqdoOflnoffORdOFF3j5I7SMrm3HhPMgoqzaESSHMc4yZLzf_4ymlh7SIIoxSVmo-hzita-cyre1AcQTr0DWmsJHWq0QTtvHVcDrztAWzDKtj92obVED8o6o2rvlB7QTA9WyUAMr8i1gJb9kQuHdIP20B_BcOcNoAC-QKtEqJj3ytqQtIgPEm2Nlj7wuxa6Bq1UA1fRRcM7C5PfO46eF_P97ClebR6Xs-kqFqTMXEwIMAGM55wDKxueyazgTMi8JCLjBUnzOsUMci7rgiWM5jkhGZeYZ4xAIQQdRzen3qPRbx6sqw7amyG8rEhKGaE0pSRQtydKGG2tgaY6GtVz81HhpPqevvqbnn4BQpl4Hg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2436233432</pqid></control><display><type>article</type><title>A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Gharehyakheh, Amin ; Krejci, Caroline C. ; Cantu, Jaime ; Rogers, K. Jamie</creator><creatorcontrib>Gharehyakheh, Amin ; Krejci, Caroline C. ; Cantu, Jaime ; Rogers, K. Jamie</creatorcontrib><description>The food distribution process is responsible for significant quality loss in perishable products. However, preserving quality is costly and consumes a tremendous amount of energy. To tackle the challenge of minimizing transportation costs and CO2 emissions while also maximizing product freshness, a novel multi-objective model is proposed. The model integrates a vehicle routing problem with temperature, shelf life, and energy consumption prediction models, thereby enhancing its accuracy. Non-dominated sorting genetic algorithm II is adapted to solve the proposed model for the set of Solomon test data. The conflicting nature of these objectives and the sensitivity of the model to shelf life and shipping container temperature settings are analyzed. The results show that optimizing freshness objective degrade the cost and the emission objectives, and the distribution of perishable foods are sensible to the shelf life of the perishable foods and temperature settings inside the container.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su12166668</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Carbon dioxide ; Containers ; Distribution costs ; Emissions ; Energy consumption ; Food processing ; Food production ; Food products ; Food quality ; Food supply ; Food waste ; Freshness ; Genetic algorithms ; Impact strength ; Microorganisms ; Model accuracy ; Objectives ; Perishable foods ; Prediction models ; Product quality ; Refrigeration ; Route planning ; Routing ; Shelf life ; Sorting algorithms ; Supermarkets ; Supply chains ; Sustainability ; Temperature effects ; Vehicle emissions ; Vehicle routing ; Vehicles</subject><ispartof>Sustainability, 2020-08, Vol.12 (16), p.6668</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-22e6ce6a7aae69fa5d58a6cd792c5a8247b416e7adb8606377225ad1a562e8cc3</citedby><cites>FETCH-LOGICAL-c295t-22e6ce6a7aae69fa5d58a6cd792c5a8247b416e7adb8606377225ad1a562e8cc3</cites><orcidid>0000-0003-0696-1884 ; 0000-0002-6948-538X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Gharehyakheh, Amin</creatorcontrib><creatorcontrib>Krejci, Caroline C.</creatorcontrib><creatorcontrib>Cantu, Jaime</creatorcontrib><creatorcontrib>Rogers, K. Jamie</creatorcontrib><title>A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life</title><title>Sustainability</title><description>The food distribution process is responsible for significant quality loss in perishable products. However, preserving quality is costly and consumes a tremendous amount of energy. To tackle the challenge of minimizing transportation costs and CO2 emissions while also maximizing product freshness, a novel multi-objective model is proposed. The model integrates a vehicle routing problem with temperature, shelf life, and energy consumption prediction models, thereby enhancing its accuracy. Non-dominated sorting genetic algorithm II is adapted to solve the proposed model for the set of Solomon test data. The conflicting nature of these objectives and the sensitivity of the model to shelf life and shipping container temperature settings are analyzed. The results show that optimizing freshness objective degrade the cost and the emission objectives, and the distribution of perishable foods are sensible to the shelf life of the perishable foods and temperature settings inside the container.</description><subject>Carbon dioxide</subject><subject>Containers</subject><subject>Distribution costs</subject><subject>Emissions</subject><subject>Energy consumption</subject><subject>Food processing</subject><subject>Food production</subject><subject>Food products</subject><subject>Food quality</subject><subject>Food supply</subject><subject>Food waste</subject><subject>Freshness</subject><subject>Genetic algorithms</subject><subject>Impact strength</subject><subject>Microorganisms</subject><subject>Model accuracy</subject><subject>Objectives</subject><subject>Perishable foods</subject><subject>Prediction models</subject><subject>Product quality</subject><subject>Refrigeration</subject><subject>Route planning</subject><subject>Routing</subject><subject>Shelf life</subject><subject>Sorting algorithms</subject><subject>Supermarkets</subject><subject>Supply chains</subject><subject>Sustainability</subject><subject>Temperature effects</subject><subject>Vehicle emissions</subject><subject>Vehicle routing</subject><subject>Vehicles</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNkF9LwzAUxYsoOOZe_AQB34Rqk7Rp-zjmpoONDTZ9LWlyazPaZuaP4Bfx8xqdoOflnoffORdOFF3j5I7SMrm3HhPMgoqzaESSHMc4yZLzf_4ymlh7SIIoxSVmo-hzita-cyre1AcQTr0DWmsJHWq0QTtvHVcDrztAWzDKtj92obVED8o6o2rvlB7QTA9WyUAMr8i1gJb9kQuHdIP20B_BcOcNoAC-QKtEqJj3ytqQtIgPEm2Nlj7wuxa6Bq1UA1fRRcM7C5PfO46eF_P97ClebR6Xs-kqFqTMXEwIMAGM55wDKxueyazgTMi8JCLjBUnzOsUMci7rgiWM5jkhGZeYZ4xAIQQdRzen3qPRbx6sqw7amyG8rEhKGaE0pSRQtydKGG2tgaY6GtVz81HhpPqevvqbnn4BQpl4Hg</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Gharehyakheh, Amin</creator><creator>Krejci, Caroline C.</creator><creator>Cantu, Jaime</creator><creator>Rogers, K. Jamie</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0003-0696-1884</orcidid><orcidid>https://orcid.org/0000-0002-6948-538X</orcidid></search><sort><creationdate>20200801</creationdate><title>A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life</title><author>Gharehyakheh, Amin ; Krejci, Caroline C. ; Cantu, Jaime ; Rogers, K. Jamie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-22e6ce6a7aae69fa5d58a6cd792c5a8247b416e7adb8606377225ad1a562e8cc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Carbon dioxide</topic><topic>Containers</topic><topic>Distribution costs</topic><topic>Emissions</topic><topic>Energy consumption</topic><topic>Food processing</topic><topic>Food production</topic><topic>Food products</topic><topic>Food quality</topic><topic>Food supply</topic><topic>Food waste</topic><topic>Freshness</topic><topic>Genetic algorithms</topic><topic>Impact strength</topic><topic>Microorganisms</topic><topic>Model accuracy</topic><topic>Objectives</topic><topic>Perishable foods</topic><topic>Prediction models</topic><topic>Product quality</topic><topic>Refrigeration</topic><topic>Route planning</topic><topic>Routing</topic><topic>Shelf life</topic><topic>Sorting algorithms</topic><topic>Supermarkets</topic><topic>Supply chains</topic><topic>Sustainability</topic><topic>Temperature effects</topic><topic>Vehicle emissions</topic><topic>Vehicle routing</topic><topic>Vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gharehyakheh, Amin</creatorcontrib><creatorcontrib>Krejci, Caroline C.</creatorcontrib><creatorcontrib>Cantu, Jaime</creatorcontrib><creatorcontrib>Rogers, K. Jamie</creatorcontrib><collection>CrossRef</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gharehyakheh, Amin</au><au>Krejci, Caroline C.</au><au>Cantu, Jaime</au><au>Rogers, K. Jamie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life</atitle><jtitle>Sustainability</jtitle><date>2020-08-01</date><risdate>2020</risdate><volume>12</volume><issue>16</issue><spage>6668</spage><pages>6668-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>The food distribution process is responsible for significant quality loss in perishable products. However, preserving quality is costly and consumes a tremendous amount of energy. To tackle the challenge of minimizing transportation costs and CO2 emissions while also maximizing product freshness, a novel multi-objective model is proposed. The model integrates a vehicle routing problem with temperature, shelf life, and energy consumption prediction models, thereby enhancing its accuracy. Non-dominated sorting genetic algorithm II is adapted to solve the proposed model for the set of Solomon test data. The conflicting nature of these objectives and the sensitivity of the model to shelf life and shipping container temperature settings are analyzed. The results show that optimizing freshness objective degrade the cost and the emission objectives, and the distribution of perishable foods are sensible to the shelf life of the perishable foods and temperature settings inside the container.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su12166668</doi><orcidid>https://orcid.org/0000-0003-0696-1884</orcidid><orcidid>https://orcid.org/0000-0002-6948-538X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2071-1050
ispartof Sustainability, 2020-08, Vol.12 (16), p.6668
issn 2071-1050
2071-1050
language eng
recordid cdi_proquest_journals_2436233432
source MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Carbon dioxide
Containers
Distribution costs
Emissions
Energy consumption
Food processing
Food production
Food products
Food quality
Food supply
Food waste
Freshness
Genetic algorithms
Impact strength
Microorganisms
Model accuracy
Objectives
Perishable foods
Prediction models
Product quality
Refrigeration
Route planning
Routing
Shelf life
Sorting algorithms
Supermarkets
Supply chains
Sustainability
Temperature effects
Vehicle emissions
Vehicle routing
Vehicles
title A Multi-Objective Model for Sustainable Perishable Food Distribution Considering the Impact of Temperature on Vehicle Emissions and Product Shelf Life
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T06%3A44%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Multi-Objective%20Model%20for%20Sustainable%20Perishable%20Food%20Distribution%20Considering%20the%20Impact%20of%20Temperature%20on%20Vehicle%20Emissions%20and%20Product%20Shelf%20Life&rft.jtitle=Sustainability&rft.au=Gharehyakheh,%20Amin&rft.date=2020-08-01&rft.volume=12&rft.issue=16&rft.spage=6668&rft.pages=6668-&rft.issn=2071-1050&rft.eissn=2071-1050&rft_id=info:doi/10.3390/su12166668&rft_dat=%3Cproquest_cross%3E2436233432%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2436233432&rft_id=info:pmid/&rfr_iscdi=true