B
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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Journal ArticleDOI
Travel time models in automated storage/retrieval systems: A critical review
Bhaba R. Sarker,P. Sobhan Babu +1 more
TL;DR: A brief, critical review and a comparative study of some design aspects of automated storage/retrieval systems with special emphasis on travel time models, including improving throughput rate, changing retrieval sequencing rules, using order batching algorithms, applying various dwell point strategies and increasing the storage/ retrieval machine capacity.
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Improving performance by coordinating a supply chain with third party logistics outsourcing under production disruption
Bibhas C. Giri,Bhaba R. Sarker +1 more
TL;DR: It is observed from the numerical study that production disruption and TPL service have significant impacts on supply chain's performance, and the effects of buyback and revenue sharing contracts tend to emerge indifferent for relatively high probability of disruption.
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Optimal models for a multi-stage supply chain system controlled by kanban under just-in-time philosophy
Shaojun Wang,Bhaba R. Sarker +1 more
TL;DR: The results show that the improvements in reduction of inventory, wasted labor and customer service in a supply chain are significantly accomplished through the kanban mechanism.
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Effects of inflation and the time value of money on order quantity and allowable shortage
Bhaba R. Sarker,Haixu Pan +1 more
TL;DR: In this article, the effect of inflation and time value of money on the optimal ordering quantities and the maximum allowable shortage in a finite replenishment inventory system was investigated, and it was shown that this effect on the system becomes more significant with the increase of the difference between inflation rate and time discount rate.
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A similarity coefficient measure and machine-parts grouping in cellular manufacturing systems
TL;DR: In this article, a new similarity coefficient measure that uses a set of important characteristic properties for grouping is developed for use as an intermediate tool to form cohesive cells and a mathematical model that uses this similarity coefficient for optimally solving the cell-formation problems in cellular manufacturing is developed.