Search results for "distribution centers"

showing 3 items of 3 documents

Entry-Item-Quantity-ABC Analysis-Based Multitype Cigarette Fast Sorting System

2012

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2012/847591 Open access Numerous items, small order, and frequent delivery are the characteristics of many distribution centers. Such characteristics generally increase the operating costs of the distribution center. To remedy this problem, this study employs the Entry-Item-Quantity (EIQ) method to identify the characteristic of the cigarette distribution center and further analyzes the importance degree of customers and the frequently ordered products by means of EQ/EN/IQ-B/IK statistic charts. Based on these analyses as well as the total rep…

ABC analysisEngineeringOperations researchArticle SubjectGeneral MathematicsDistribution (economics)tobaccoVDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411design schemesorting systemcost benefit analysisequipment allocationStatisticdistribution centersDistribution centerCost–benefit analysisbusiness.industrylcsh:MathematicsGeneral EngineeringSortingwarehouseslcsh:QA1-939Cost optimizationlcsh:TA1-2040Order (business)lcsh:Engineering (General). Civil engineering (General)businesscost optimizationMathematical Problems in Engineering
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GAMS files for the multi-objective models to locate temporary distribution centers after sudden-onset disasters

2019

These are the GAMS file with some a sample dataset that model locating temporary distribution centers after sudden-onset disasters. Required input data should be changed in the front.

EngineeringComputer and Information Sciencehumanitarian logistics multi-objective temporary distribution centers sudden-onset natural disasters GAMSData_FILESSocial Sciences
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Bi-objective multi-layer location–allocation model for the immediate aftermath of sudden-onset disasters

2019

International audience; Locating distribution centers is critical for humanitarians in the immediate aftermath of a sudden-onset disaster. A major challenge lies in balancing the complexity and uncertainty of the problem with time and resource constraints. To address this problem, we propose a location–allocation model that divides the topography of affected areas into multiple layers; considers constrained number and capacity of facilities and fleets; and allows decision-makers to explore trade-offs between response time and logistics costs. To illustrate our theoretical work, we apply the model to a real dataset from the 2015 Nepal earthquake response. For this case, our method results in…

Humanitarian LogisticsOperations researchComputer science0211 other engineering and technologiesTransportation02 engineering and technologyTemporary distribution centersMulti-objective optimizationHumanitarian logisticsReduction (complexity)Location–allocation problem[SPI]Engineering Sciences [physics]2015 Nepal earthquake0502 economics and businessImmediate responseBusiness and International ManagementMulti layerVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Civil and Structural Engineering050210 logistics & transportation021103 operations research05 social sciencesResponse timeMulti-objective optimizationWork (electrical)Location-allocationSudden onset
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