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Bhaba R. Sarker

Researcher at Louisiana State University

Publications -  188
Citations -  8288

Bhaba R. Sarker is an academic researcher from Louisiana State University. The author has contributed to research in topics: Supply chain & Total cost. The author has an hindex of 48, co-authored 181 publications receiving 7665 citations. Previous affiliations of Bhaba R. Sarker include Oklahoma State University–Stillwater & Centralia College.

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A Ranking Chaos Algorithm for dual scheduling of cloud service and computing resource in private cloud

TL;DR: Theoretical analysis and simulations demonstrate that the new DS-CSCR outperforms the traditional two-level decision making with the improvements in both cloud service composition and computing resource allocation.
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A survey and critical review of flexibility measures in manufacturing systems

TL;DR: Flexibility of manufacturing systems is currently under intensive study, and the need for objective measurement of this important characteristic is widely expressed as mentioned in this paper, where a survey of the literature dealing with quantification of certain types of flexibility, analyses the proposed measures, and presents critical views.
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Coordinated contracts in a two-echelon green supply chain considering pricing strategy

TL;DR: This research expands a two-echelon supply chain consisting of one manufacturer and one retailer, which sells one kind of product with lower carbon emission, and shows that supply chain’s profit in the cooperative form is higher than non-cooperative one.
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Optimal batch size and raw material ordering policy for a production system with a fixed-interval, lumpy demand delivery system

TL;DR: In this paper, an ordering policy for raw materials, to meet the demands of a production facility which supplies a fixed quantity of finished products to outside buyers, at a fixed interval of time, is developed.
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Manufacturing setup cost reduction under variable lead times and finite opportunities for investment

TL;DR: The EOQ model with setup cost reduction in the variable lead time environment has been extended to the EMQ model which increases the applicability tremendously and investigates a more realistic situation where there is only a finite number of opportunities forsetup cost reduction investment.