A
Ata Allah Taleizadeh
Researcher at University of Tehran
Publications - 215
Citations - 6704
Ata Allah Taleizadeh is an academic researcher from University of Tehran. The author has contributed to research in topics: Supply chain & Economic order quantity. The author has an hindex of 47, co-authored 188 publications receiving 4948 citations. Previous affiliations of Ata Allah Taleizadeh include Iran University of Science and Technology.
Papers
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Joint optimization of price, replenishment frequency, replenishment cycle and production rate in vendor managed inventory system with deteriorating items
TL;DR: A Vendor Managed Inventory (VMI) model for a two-level supply chain comprised of one vendor and several non-competing retailers in which both the raw material and the finished product have different deterioration rates is developed.
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Pricing, product quality, and collection optimization in a decentralized closed-loop supply chain with different channel structures: Game theoretical approach
TL;DR: In this paper, the authors investigated the pricing strategies as well as the quality level and effort decisions of the manufacturer, retailer, and third party operating in two types of closed-loop supply chains.
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An EOQ model with partial backordering and advance payments for an evaporating item
TL;DR: In this article, an economic order quantity model for an evaporating item with partial backordering and partial consecutive prepayments is developed with a real case study of a gasoline station.
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An EOQ model with partial delayed payment and partial backordering
TL;DR: In this article, the authors considered an EOQ problem under partial delayed payment, where a fraction of the purchasing cost must be paid at the beginning of the period and the remaining amount can be paid later.
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An inventory control problem for deteriorating items with back-ordering and financial considerations
TL;DR: An economic order quantity model to manage a perishable item over the finite horizon planning under which back-ordering and delayed payment are assumed and the sensitivity analysis is reported to find some managerial insights.