Mining Pareto-optimal modules for delayed product differentiation
type: Item
instance of: scholarly article
title: Mining Pareto-optimal modules for delayed product differentiation
zbMATH Open document ID: 1177.90136
author: Zhe Song
author: Andrew Kusiak
published in: European Journal of Operational Research
publication date: 2009-12-10T00:00:00Z
Mathematics Subject Classification ID: 90B30
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 68P99
zbMATH DE Number: 5645182
zbMATH Keywords: data mining
zbMATH Keywords: evolutionary computations
zbMATH Keywords: mass customization
zbMATH Keywords: modularity
zbMATH Keywords: delayed product differentiation
zbMATH Keywords: multi-objective optimization
MaRDI profile type: Publication
full work available at URL: j.ejor.2009.02.013
OpenAlex ID: W2102825558
cites work: A Greedy Heuristic for the Set-Covering Problem
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cites work: Modeling and analysis of build-to-order supply chains
cites work: Dynamic programming for delayed product differentiation.
cites work: A queueing model of delayed product differentiation
cites work: Modelling the Costs and Benefits of Delayed Product Differentiation
cites work: Commonality and postponement in multistage assembly systems
cites work: Product Variety and Manufacturing Performance: Evidence from the International Automotive Assembly Plant Study
cites work: Managing broader product lines through delayed differentiation using vanilla boxes
DOI: 10.1016/J.EJOR.2009.02.013
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description: scientific article; zbMATH DE number 5645182