Future-Value Assessment of a Multi-Facility Allocation Problem with Inventory Return Costs
Decision models within the logistic field are crucial for the optimization of economic resources throughout the supply chain. In this context, facility allocation is important to achieve an efficient distribution network. The present work extends on the multi-facility allocation problem by integrati...
Gespeichert in:
Veröffentlicht in: | International Journal of Combinatorial Optimization Problems and Informatics 2021-05, Vol.12 (2), p.25 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 2 |
container_start_page | 25 |
container_title | International Journal of Combinatorial Optimization Problems and Informatics |
container_volume | 12 |
creator | Aguirre Bello, Jonathan David Oscar Flores Carreto Ninfa Alejandra Guzmán Velasco Morales Guerrero, Ricardo Ernesto Santago Omar Caballero Morales |
description | Decision models within the logistic field are crucial for the optimization of economic resources throughout the supply chain. In this context, facility allocation is important to achieve an efficient distribution network. The present work extends on the multi-facility allocation problem by integrating the time-dependent costs associated to the dynamic behavior of inventory management and transportation through a planning horizon. These costs are evaluated by considering their future-value in different periods of time and an integrated cost metric which includes distance, supply frequency, and fuel performance. The contribution of this approach leads to support the decision process regarding the viability of the investment required to establish a set of facilities in terms of future costs, how these costs may increase if the decision is delayed, and when the investment is to be compensated by the savings obtained by the solution of the multi-facility allocation problem. |
format | Article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_3066247153</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3066247153</sourcerecordid><originalsourceid>FETCH-LOGICAL-p113t-5df28ea7956960f29c3c220b524ef557e224962a584bb664c2b8793baa384ee13</originalsourceid><addsrcrecordid>eNotjk1LxDAURYMgOIzzHwKuA8nLR5NlKVYHRhRRF26GpL5ih0wzNqky_96C3s1Z3XPvBVkB5xUTWtsrssn5wJdYzrXjK_LezmWekL35OCOtc8acjzgWmnrq6cMcy8Ba3w1xKGdax5g6X4Y00qcphYhH-jOUT7odv5dKms70GRfbSJuUS74ml72PGTf_XJPX9valuWe7x7ttU-_YSQhZmP7owaKvnDbO8B5cJzsAHjQo7LWuEEA5A15bFYIxqoNgKyeD99IqRCHX5ObPe5rS14y57A9pObFM7iU3BlQltJS_YWBODw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3066247153</pqid></control><display><type>article</type><title>Future-Value Assessment of a Multi-Facility Allocation Problem with Inventory Return Costs</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Aguirre Bello, Jonathan David ; Oscar Flores Carreto ; Ninfa Alejandra Guzmán Velasco ; Morales Guerrero, Ricardo Ernesto ; Santago Omar Caballero Morales</creator><creatorcontrib>Aguirre Bello, Jonathan David ; Oscar Flores Carreto ; Ninfa Alejandra Guzmán Velasco ; Morales Guerrero, Ricardo Ernesto ; Santago Omar Caballero Morales</creatorcontrib><description>Decision models within the logistic field are crucial for the optimization of economic resources throughout the supply chain. In this context, facility allocation is important to achieve an efficient distribution network. The present work extends on the multi-facility allocation problem by integrating the time-dependent costs associated to the dynamic behavior of inventory management and transportation through a planning horizon. These costs are evaluated by considering their future-value in different periods of time and an integrated cost metric which includes distance, supply frequency, and fuel performance. The contribution of this approach leads to support the decision process regarding the viability of the investment required to establish a set of facilities in terms of future costs, how these costs may increase if the decision is delayed, and when the investment is to be compensated by the savings obtained by the solution of the multi-facility allocation problem.</description><identifier>EISSN: 2007-1558</identifier><language>eng</language><publisher>Jiutepec: International Journal of Combinatorial Optimization Problems & Informatics</publisher><subject>Case studies ; Compound interest ; Cost control ; Customers ; Decision making ; Distribution management ; Energy consumption ; Informatics ; Inventory ; Inventory control ; Inventory management ; Optimization ; Order quantity ; Purchase orders ; Supply chains ; Time dependence ; Variables</subject><ispartof>International Journal of Combinatorial Optimization Problems and Informatics, 2021-05, Vol.12 (2), p.25</ispartof><rights>Copyright International Journal of Combinatorial Optimization Problems & Informatics 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Aguirre Bello, Jonathan David</creatorcontrib><creatorcontrib>Oscar Flores Carreto</creatorcontrib><creatorcontrib>Ninfa Alejandra Guzmán Velasco</creatorcontrib><creatorcontrib>Morales Guerrero, Ricardo Ernesto</creatorcontrib><creatorcontrib>Santago Omar Caballero Morales</creatorcontrib><title>Future-Value Assessment of a Multi-Facility Allocation Problem with Inventory Return Costs</title><title>International Journal of Combinatorial Optimization Problems and Informatics</title><description>Decision models within the logistic field are crucial for the optimization of economic resources throughout the supply chain. In this context, facility allocation is important to achieve an efficient distribution network. The present work extends on the multi-facility allocation problem by integrating the time-dependent costs associated to the dynamic behavior of inventory management and transportation through a planning horizon. These costs are evaluated by considering their future-value in different periods of time and an integrated cost metric which includes distance, supply frequency, and fuel performance. The contribution of this approach leads to support the decision process regarding the viability of the investment required to establish a set of facilities in terms of future costs, how these costs may increase if the decision is delayed, and when the investment is to be compensated by the savings obtained by the solution of the multi-facility allocation problem.</description><subject>Case studies</subject><subject>Compound interest</subject><subject>Cost control</subject><subject>Customers</subject><subject>Decision making</subject><subject>Distribution management</subject><subject>Energy consumption</subject><subject>Informatics</subject><subject>Inventory</subject><subject>Inventory control</subject><subject>Inventory management</subject><subject>Optimization</subject><subject>Order quantity</subject><subject>Purchase orders</subject><subject>Supply chains</subject><subject>Time dependence</subject><subject>Variables</subject><issn>2007-1558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNotjk1LxDAURYMgOIzzHwKuA8nLR5NlKVYHRhRRF26GpL5ih0wzNqky_96C3s1Z3XPvBVkB5xUTWtsrssn5wJdYzrXjK_LezmWekL35OCOtc8acjzgWmnrq6cMcy8Ba3w1xKGdax5g6X4Y00qcphYhH-jOUT7odv5dKms70GRfbSJuUS74ml72PGTf_XJPX9valuWe7x7ttU-_YSQhZmP7owaKvnDbO8B5cJzsAHjQo7LWuEEA5A15bFYIxqoNgKyeD99IqRCHX5ObPe5rS14y57A9pObFM7iU3BlQltJS_YWBODw</recordid><startdate>20210501</startdate><enddate>20210501</enddate><creator>Aguirre Bello, Jonathan David</creator><creator>Oscar Flores Carreto</creator><creator>Ninfa Alejandra Guzmán Velasco</creator><creator>Morales Guerrero, Ricardo Ernesto</creator><creator>Santago Omar Caballero Morales</creator><general>International Journal of Combinatorial Optimization Problems & Informatics</general><scope>3V.</scope><scope>7SC</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CLZPN</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20210501</creationdate><title>Future-Value Assessment of a Multi-Facility Allocation Problem with Inventory Return Costs</title><author>Aguirre Bello, Jonathan David ; Oscar Flores Carreto ; Ninfa Alejandra Guzmán Velasco ; Morales Guerrero, Ricardo Ernesto ; Santago Omar Caballero Morales</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p113t-5df28ea7956960f29c3c220b524ef557e224962a584bb664c2b8793baa384ee13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Case studies</topic><topic>Compound interest</topic><topic>Cost control</topic><topic>Customers</topic><topic>Decision making</topic><topic>Distribution management</topic><topic>Energy consumption</topic><topic>Informatics</topic><topic>Inventory</topic><topic>Inventory control</topic><topic>Inventory management</topic><topic>Optimization</topic><topic>Order quantity</topic><topic>Purchase orders</topic><topic>Supply chains</topic><topic>Time dependence</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aguirre Bello, Jonathan David</creatorcontrib><creatorcontrib>Oscar Flores Carreto</creatorcontrib><creatorcontrib>Ninfa Alejandra Guzmán Velasco</creatorcontrib><creatorcontrib>Morales Guerrero, Ricardo Ernesto</creatorcontrib><creatorcontrib>Santago Omar Caballero Morales</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Latin America & Iberia Database</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</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><collection>ProQuest Central Basic</collection><jtitle>International Journal of Combinatorial Optimization Problems and Informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aguirre Bello, Jonathan David</au><au>Oscar Flores Carreto</au><au>Ninfa Alejandra Guzmán Velasco</au><au>Morales Guerrero, Ricardo Ernesto</au><au>Santago Omar Caballero Morales</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Future-Value Assessment of a Multi-Facility Allocation Problem with Inventory Return Costs</atitle><jtitle>International Journal of Combinatorial Optimization Problems and Informatics</jtitle><date>2021-05-01</date><risdate>2021</risdate><volume>12</volume><issue>2</issue><spage>25</spage><pages>25-</pages><eissn>2007-1558</eissn><abstract>Decision models within the logistic field are crucial for the optimization of economic resources throughout the supply chain. In this context, facility allocation is important to achieve an efficient distribution network. The present work extends on the multi-facility allocation problem by integrating the time-dependent costs associated to the dynamic behavior of inventory management and transportation through a planning horizon. These costs are evaluated by considering their future-value in different periods of time and an integrated cost metric which includes distance, supply frequency, and fuel performance. The contribution of this approach leads to support the decision process regarding the viability of the investment required to establish a set of facilities in terms of future costs, how these costs may increase if the decision is delayed, and when the investment is to be compensated by the savings obtained by the solution of the multi-facility allocation problem.</abstract><cop>Jiutepec</cop><pub>International Journal of Combinatorial Optimization Problems & Informatics</pub></addata></record> |
fulltext | fulltext |
identifier | EISSN: 2007-1558 |
ispartof | International Journal of Combinatorial Optimization Problems and Informatics, 2021-05, Vol.12 (2), p.25 |
issn | 2007-1558 |
language | eng |
recordid | cdi_proquest_journals_3066247153 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Case studies Compound interest Cost control Customers Decision making Distribution management Energy consumption Informatics Inventory Inventory control Inventory management Optimization Order quantity Purchase orders Supply chains Time dependence Variables |
title | Future-Value Assessment of a Multi-Facility Allocation Problem with Inventory Return Costs |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T19%3A34%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Future-Value%20Assessment%20of%20a%20Multi-Facility%20Allocation%20Problem%20with%20Inventory%20Return%20Costs&rft.jtitle=International%20Journal%20of%20Combinatorial%20Optimization%20Problems%20and%20Informatics&rft.au=Aguirre%20Bello,%20Jonathan%20David&rft.date=2021-05-01&rft.volume=12&rft.issue=2&rft.spage=25&rft.pages=25-&rft.eissn=2007-1558&rft_id=info:doi/&rft_dat=%3Cproquest%3E3066247153%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3066247153&rft_id=info:pmid/&rfr_iscdi=true |