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Due-Window Assignment and Resource Allocation Scheduling with Truncated Learning Effect and Position-Dependent Weights

This paper studies single-machine due-window assignment scheduling problems with truncated learning effect and resource allocation simultaneously. Linear and convex resource allocation functions under common due-window (CONW) assignment are considered. The goal is to find the optimal due-window star...

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Bibliografiske detaljer
Hovedforfatter: Shan-Shan Lin
Format: Artigo
Sprog:Inglês
Udgivet: Wiley 2020-01-01
Serier:Discrete Dynamics in Nature and Society
Online adgang:http://dx.doi.org/10.1155/2020/9260479
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