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Chandrasekharan Rajendran

Researcher at Indian Institute of Technology Madras

Publications -  197
Citations -  10083

Chandrasekharan Rajendran is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Job shop scheduling & Supply chain. The author has an hindex of 52, co-authored 192 publications receiving 9404 citations. Previous affiliations of Chandrasekharan Rajendran include Indian Institutes of Technology & VIT University.

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Scheduling to minimize mean tardiness and weighted mean tardiness in flowshop and flowline-based manufacturing cell

TL;DR: In this article, a heuristic algorithm based on the simulated annealing (SA) technique is developed for scheduling in flow shop and flowline-based manufacturing cell with the objective of minimizing mean tardiness of jobs.
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A study on the critical factors of ISO 9001:2000 and organizational performance of Indian manufacturing firms

TL;DR: In this paper, the authors explored the critical factors of ISO 9001:2000 and investigated the effect of ISO certification on organizational performance, as perceived by the management, and also analyzed the relationship between the firm attributes and critical factors.
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Mathematical models for green vehicle routing problems with pickup and delivery: A case of semiconductor supply chain

TL;DR: The study indicates that the proposed model for the PDP-SSC gives better lower bounds than that by theexisting work, apart from performing better than the existing work in terms of requiring less CPU time.
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Performance evaluation of priority dispatching rules in multi-level assembly job shops with jobs having weights for flowtime and tardiness

TL;DR: In this paper, the problem of scheduling in dynamic assembly job shops with jobs having weights for holding and tardiness of jobs has been investigated and new priority dispatching rules have been proposed to minimize the performance measures related to weighted flowtime and weighted tardness of jobs.
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A Simulation Study of Dynamic Order-up-to Policies in a Supply Chain with Non-Stationary Customer Demand and Information Sharing

TL;DR: It is found that the use of forecast of replenishment leadtime and customer demand information sharing, and the proposed safety-stock heuristic settings in the determination of dynamic order-up-to levels, significantly reduce the sum of discounted inventory, shortage and transport costs of the supply chain.