Planning of a supply chain for anti-personal landmine disposal by means of robots
The current paper presents a Mixed-Integer-Linear Programming Model (MIP) which incorporates strategic and tactical management decisions into the supply chain of an anti-personal landmine robotic detection and disposal system. Originally based on a mixed-integer-non-linear programming model (MINLP)...
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Universidad Nacional de Colombia
2012-09-01
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doaj-bdc58a45db644d028b0fb38988e5d0ed2020-11-24T22:31:09ZengUniversidad Nacional de ColombiaInnovar: Revista de Ciencias Administrativas y Sociales0121-50512248-69682012-09-0122455168Planning of a supply chain for anti-personal landmine disposal by means of robotsRafael Guillermo García-Cáceres0Julián Arturo Aráoz-Durand1Fernando Palacios-Gómez2Escuela Colombiana de Ingeniería Julio GaravitoUniversidad Politécnica de CataluñaUniversidad de los AndesThe current paper presents a Mixed-Integer-Linear Programming Model (MIP) which incorporates strategic and tactical management decisions into the supply chain of an anti-personal landmine robotic detection and disposal system. Originally based on a mixed-integer-non-linear programming model (MINLP) with stochastic elements, of which it is an approximation, the MIP model is obtained by means of two solution procedures that include redefining variables, treating stochastic and non-linear constraints, and incorporating valid constraints. The model included considerations such as uncertain procurement, stochastic inventories in plants, production scales, supply-production-distribution capacities, particular distribution-production infrastructure, locationallocation considerations, stochastic demand, and BOM. Additionally, the models detail optimal helicopter operation by considering each period’s trip frequency during the planning horizon. Finally, a sensibility analysis of the way in which parameters variations affect overall costs is presented. The suggested solution procedure is considered satisfactory in terms of time for the analyzed example.http://www.caoni.be/index.php/innovar/article/view/36292mathematical programming applicationsinteger programmingnon-linear programmingstochastic programminglogisticssupply chainrobotsanti-personal landmines |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rafael Guillermo García-Cáceres Julián Arturo Aráoz-Durand Fernando Palacios-Gómez |
spellingShingle |
Rafael Guillermo García-Cáceres Julián Arturo Aráoz-Durand Fernando Palacios-Gómez Planning of a supply chain for anti-personal landmine disposal by means of robots Innovar: Revista de Ciencias Administrativas y Sociales mathematical programming applications integer programming non-linear programming stochastic programming logistics supply chain robots anti-personal landmines |
author_facet |
Rafael Guillermo García-Cáceres Julián Arturo Aráoz-Durand Fernando Palacios-Gómez |
author_sort |
Rafael Guillermo García-Cáceres |
title |
Planning of a supply chain for anti-personal landmine disposal by means of robots |
title_short |
Planning of a supply chain for anti-personal landmine disposal by means of robots |
title_full |
Planning of a supply chain for anti-personal landmine disposal by means of robots |
title_fullStr |
Planning of a supply chain for anti-personal landmine disposal by means of robots |
title_full_unstemmed |
Planning of a supply chain for anti-personal landmine disposal by means of robots |
title_sort |
planning of a supply chain for anti-personal landmine disposal by means of robots |
publisher |
Universidad Nacional de Colombia |
series |
Innovar: Revista de Ciencias Administrativas y Sociales |
issn |
0121-5051 2248-6968 |
publishDate |
2012-09-01 |
description |
The current paper presents a Mixed-Integer-Linear Programming Model (MIP) which incorporates strategic and tactical management decisions into the supply chain of an anti-personal
landmine robotic detection and disposal system. Originally based on a mixed-integer-non-linear programming model (MINLP) with stochastic elements, of which it is an approximation, the MIP
model is obtained by means of two solution procedures that include redefining variables, treating stochastic and non-linear constraints, and incorporating valid constraints. The model included considerations such as uncertain procurement, stochastic inventories in plants, production scales, supply-production-distribution capacities, particular distribution-production infrastructure, locationallocation considerations, stochastic demand, and BOM. Additionally, the models detail optimal helicopter operation by considering each period’s trip frequency during the planning horizon. Finally, a sensibility analysis of the way in which parameters variations affect overall costs is presented. The suggested solution procedure is considered satisfactory in terms of time for the analyzed example. |
topic |
mathematical programming applications integer programming non-linear programming stochastic programming logistics supply chain robots anti-personal landmines |
url |
http://www.caoni.be/index.php/innovar/article/view/36292 |
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