BIP! Finder - Online heuristics for unloading boxes off a gravity conveyor

2016 • Online heuristics for unloading boxes off a gravity conveyor

Authors: Baptiste Pierre; Bürgy Reinhard; Hertz Alain; Rebaine Djamal

Venue: International Journal of Production Research

Type: Publication

Abstract: This paper addresses the problem of minimising the number of moves to unload a set of boxes off a gravity conveyor by a forklift. If the input data are known in advance, the problem is efficiently solvable with a dynamic programming approach. However, this method is rarely applicable in practice for two reasons. First, the problem generally occurs in a real-time environment where the input data are revealed over time. Second, computing devices are in most cases not available in forklifts or gravity conveyors for decision-making. Online approach... (read more)

Topics: Mathematical optimization Industrial engineering

DOI: 10.1080/00207543.2016.1229073

BIP! social metrics: 0 16
External links: Crossref OpenAIRE

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