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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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Effect of production cost on shelf life

TL;DR: In this article, the authors consider a manufacturing system which produces a family of items and the production policy of the system is to produce all items in every production cycle, but some items can be stored in the inventory only for a certain shelf-life period which may be shorter than the production cycle time.
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Consignment stocking policy models for supply chain systems: A critical review and comparative perspectives

TL;DR: This study examines different consignment models for determining manufacturing batch sizes, order quantity deliverable to the retailers, advertisement and price of the products, profits, independent and centralized operational policies for vendor and buyers, and optimizes many other system parameters and controllable operational variables.
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A comparison of existing grouping efficiency measures and a new weighted grouping efficiency measure

TL;DR: In this article, a critical review and a comparative study of different measures of grouping efficiency are presented, with a special emphasis on the evaluation of the goodness of clustering solutions in the block-diagonalization of the machine-part incidence matrix.
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An assembly-type supply chain system controlled by kanbans under a just-in-time delivery policy

TL;DR: A heuristic is developed which divides the ATSCS into several small size problems, and then conquers them individually, and a better solution is obtained for the A TSCS problem.
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Modeling and optimization of a supply chain of renewable biomass and biogas: Processing plant location

TL;DR: In this article, a mixed-integer mathematical model is proposed to optimally locate the hubs (to collect feedstock) and the BMG plants (reactors and condensers) so as to minimize the total cost of operating this supply chain system for renewable energy.