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Sevilay Onal

Researcher at New Jersey Institute of Technology

Publications -  8
Citations -  123

Sevilay Onal is an academic researcher from New Jersey Institute of Technology. The author has contributed to research in topics: Supply chain & The Internet. The author has an hindex of 6, co-authored 7 publications receiving 77 citations. Previous affiliations of Sevilay Onal include University of Illinois at Springfield.

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Modelling and performance evaluation of explosive storage policies in internet fulfilment warehouses

TL;DR: An observational study reveals that IFW operating and design attributes are significantly different from traditional warehouses in their storage and fulfilment policies, and identifies six IFW differentiators: explosive storage, very large number of beehive storage locations, bins with commingled SKUs, immediate fulfilment, short picking routes with single unit picks and high transactions with total digital control.
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Fulfilment time performance of online retailers – an empirical analysis

TL;DR: The research empirically confirms and quantifies the fulfilment time advantage that Amazon has achieved, relative to other online retailers, and suggests that new warehousing and logistics designs can lead to significantly faster fulfilment times.
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Price differentiated channel switching in a fixed period fast fashion supply chain

TL;DR: This paper proposes a switching solution for the Fast Fashion Supply Chain of retailers who have preordered an initial or block inventory, and plan to use channel switching as opposed to multiple discounting steps.
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The dynamic stocking location problem – Dispersing inventory in fulfillment warehouses with explosive storage

TL;DR: An objective function for the dynamic stocking location problem and an associated heuristic that reduced fulfillment time by 6.69% and two heuristics that solve the problem in a time-efficient manner are developed.
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Product flows and decision models in Internet fulfillment warehouses

TL;DR: The key contribution of this paper is introducing new warehousing models that are unique to fulfillment facilities which stock thousands of different products and process a very large number of small quantity customer orders.