Spreadsheet-based supply chain simulation for teaching risk pooling combined with facility location

Detalhes bibliográficos
Autor(a) principal: Tiger, Andrew Arthur
Data de Publicação: 2019
Outros Autores: Loucks, John, Burns, Connor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Independent Journal of Management & Production
Texto Completo: http://www.ijmp.jor.br/index.php/ijmp/article/view/960
Resumo: Inventory risk pooling is the use of centralized inventory to maintain lower overall inventory and safety stock. Generally, in a decentralized system with no risk pooling, a retailer maintaining its own inventory and safety stock requires higher levels of inventory than would be if the inventory was pooled at a centralized location.  Most pedagogy relies on algebraic formula-based examples, which has two issues: (1) student struggle visualizing variability concepts and algebraic notation and (2) the location of the centralized inventory location and its effect on lead times are often ignored or assumed to be negligible.  To address these issues, the spreadsheet-based simulation offers visual cues of the inventory reduction benefits, as well as demonstrating the impact of the facility location.  The simulation was developed using MS Excel, and has a simple, easy-to-use interface, as well as easy-to-understand graphical and statistical output.  Both undergraduate and MBA students respond favorably to the simulation because it helps them understand the math concepts, and it strengthens their spreadsheet skills. The inventory policy is an order-up-to-level with a weekly periodic review system.  Backorders must be filled.  Inputs include the number of customers, desired service level, weekly customer standard deviation of demand, lead times and inventory order-up-to levels.  Outputs include weekly and annual inventory and service levels for both the decentralized and centralized (risk pooling) systems.
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spelling Spreadsheet-based supply chain simulation for teaching risk pooling combined with facility locationrisk poolingfacility locationsupply chain modelingspreadsheet-based simulationInventory risk pooling is the use of centralized inventory to maintain lower overall inventory and safety stock. Generally, in a decentralized system with no risk pooling, a retailer maintaining its own inventory and safety stock requires higher levels of inventory than would be if the inventory was pooled at a centralized location.  Most pedagogy relies on algebraic formula-based examples, which has two issues: (1) student struggle visualizing variability concepts and algebraic notation and (2) the location of the centralized inventory location and its effect on lead times are often ignored or assumed to be negligible.  To address these issues, the spreadsheet-based simulation offers visual cues of the inventory reduction benefits, as well as demonstrating the impact of the facility location.  The simulation was developed using MS Excel, and has a simple, easy-to-use interface, as well as easy-to-understand graphical and statistical output.  Both undergraduate and MBA students respond favorably to the simulation because it helps them understand the math concepts, and it strengthens their spreadsheet skills. The inventory policy is an order-up-to-level with a weekly periodic review system.  Backorders must be filled.  Inputs include the number of customers, desired service level, weekly customer standard deviation of demand, lead times and inventory order-up-to levels.  Outputs include weekly and annual inventory and service levels for both the decentralized and centralized (risk pooling) systems.Independent2019-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttp://www.ijmp.jor.br/index.php/ijmp/article/view/96010.14807/ijmp.v10i6.960Independent Journal of Management & Production; Vol. 10 No. 6 (2019): Independent Journal of Management & Production; 1932-19512236-269X2236-269Xreponame:Independent Journal of Management & Productioninstname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)instacron:IJM&Penghttp://www.ijmp.jor.br/index.php/ijmp/article/view/960/1220http://www.ijmp.jor.br/index.php/ijmp/article/view/960/1221Copyright (c) 2019 Andrew Arthur Tiger, John Loucks, Connor Burnsinfo:eu-repo/semantics/openAccessTiger, Andrew ArthurLoucks, JohnBurns, Connor2020-02-01T02:43:03Zoai:www.ijmp.jor.br:article/960Revistahttp://www.ijmp.jor.br/PUBhttp://www.ijmp.jor.br/index.php/ijmp/oaiijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||2236-269X2236-269Xopendoar:2020-02-01T02:43:03Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)false
dc.title.none.fl_str_mv Spreadsheet-based supply chain simulation for teaching risk pooling combined with facility location
title Spreadsheet-based supply chain simulation for teaching risk pooling combined with facility location
spellingShingle Spreadsheet-based supply chain simulation for teaching risk pooling combined with facility location
Tiger, Andrew Arthur
risk pooling
facility location
supply chain modeling
spreadsheet-based simulation
title_short Spreadsheet-based supply chain simulation for teaching risk pooling combined with facility location
title_full Spreadsheet-based supply chain simulation for teaching risk pooling combined with facility location
title_fullStr Spreadsheet-based supply chain simulation for teaching risk pooling combined with facility location
title_full_unstemmed Spreadsheet-based supply chain simulation for teaching risk pooling combined with facility location
title_sort Spreadsheet-based supply chain simulation for teaching risk pooling combined with facility location
author Tiger, Andrew Arthur
author_facet Tiger, Andrew Arthur
Loucks, John
Burns, Connor
author_role author
author2 Loucks, John
Burns, Connor
author2_role author
author
dc.contributor.author.fl_str_mv Tiger, Andrew Arthur
Loucks, John
Burns, Connor
dc.subject.por.fl_str_mv risk pooling
facility location
supply chain modeling
spreadsheet-based simulation
topic risk pooling
facility location
supply chain modeling
spreadsheet-based simulation
description Inventory risk pooling is the use of centralized inventory to maintain lower overall inventory and safety stock. Generally, in a decentralized system with no risk pooling, a retailer maintaining its own inventory and safety stock requires higher levels of inventory than would be if the inventory was pooled at a centralized location.  Most pedagogy relies on algebraic formula-based examples, which has two issues: (1) student struggle visualizing variability concepts and algebraic notation and (2) the location of the centralized inventory location and its effect on lead times are often ignored or assumed to be negligible.  To address these issues, the spreadsheet-based simulation offers visual cues of the inventory reduction benefits, as well as demonstrating the impact of the facility location.  The simulation was developed using MS Excel, and has a simple, easy-to-use interface, as well as easy-to-understand graphical and statistical output.  Both undergraduate and MBA students respond favorably to the simulation because it helps them understand the math concepts, and it strengthens their spreadsheet skills. The inventory policy is an order-up-to-level with a weekly periodic review system.  Backorders must be filled.  Inputs include the number of customers, desired service level, weekly customer standard deviation of demand, lead times and inventory order-up-to levels.  Outputs include weekly and annual inventory and service levels for both the decentralized and centralized (risk pooling) systems.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/960
10.14807/ijmp.v10i6.960
url http://www.ijmp.jor.br/index.php/ijmp/article/view/960
identifier_str_mv 10.14807/ijmp.v10i6.960
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/960/1220
http://www.ijmp.jor.br/index.php/ijmp/article/view/960/1221
dc.rights.driver.fl_str_mv Copyright (c) 2019 Andrew Arthur Tiger, John Loucks, Connor Burns
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Andrew Arthur Tiger, John Loucks, Connor Burns
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Independent
publisher.none.fl_str_mv Independent
dc.source.none.fl_str_mv Independent Journal of Management & Production; Vol. 10 No. 6 (2019): Independent Journal of Management & Production; 1932-1951
2236-269X
2236-269X
reponame:Independent Journal of Management & Production
instname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron:IJM&P
instname_str Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron_str IJM&P
institution IJM&P
reponame_str Independent Journal of Management & Production
collection Independent Journal of Management & Production
repository.name.fl_str_mv Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
repository.mail.fl_str_mv ijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||
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