J
Jatinder N. D. Gupta
Researcher at University of Alabama in Huntsville
Publications - 257
Citations - 12536
Jatinder N. D. Gupta is an academic researcher from University of Alabama in Huntsville. The author has contributed to research in topics: Job shop scheduling & Flow shop scheduling. The author has an hindex of 56, co-authored 248 publications receiving 11665 citations. Previous affiliations of Jatinder N. D. Gupta include Ball State University & Hong Kong Polytechnic University.
Papers
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A review of scheduling research involving setup considerations
TL;DR: A comprehensive review of the literature on scheduling problems involving setup times (costs) classifies scheduling problems into batch and non-batch, sequence-independent and sequence-dependent setup, and categorizes the literature according to the shop environments of single machine, parallel machines, flowshops, and job shops.
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Semi-Supervised and Unsupervised Extreme Learning Machines
TL;DR: It is shown in this paper that all the supervised, semi-supervised, and unsupervised ELMs can actually be put into a unified framework, which provides new perspectives for understanding the mechanism of random feature mapping, which is the key concept in ELM theory.
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Two-Stage, Hybrid Flowshop Scheduling Problem
TL;DR: The effectiveness of the proposed heuristic algorithm in finding a minimum makespan schedule is empirically evaluated and found to increase with the increase in the number of jobs.
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Single facility scheduling with nonlinear processing times
TL;DR: The effectiveness of these proposed alogrithms is empirically evaluated and found to indicate that these heuristic algorithms yield optimal or near optimal schedules in many cases.
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Flowshop scheduling research after five decades
TL;DR: A brief glimpse into the evolution of flowshop scheduling problems and possible approaches for their solution over the last fifty years is provided.