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A structuring review on multi-stage optimization under uncertainty: Aligning concepts from theory and practice
While methods for optimization under uncertainty have been studied intensely over the past
decades, the explicit consideration of the interplay between uncertainty and time has gained …
decades, the explicit consideration of the interplay between uncertainty and time has gained …
Optimal bidding in auctions from a game theory perspective
PL Lorentziadis - European Journal of Operational Research, 2016 - Elsevier
The game theoretic perspective in auction bidding has provided a powerful normative
framework for the analysis of auctions and it has generated an impressive volume of …
framework for the analysis of auctions and it has generated an impressive volume of …
Digital nudging: Numeric and semantic priming in e-commerce
Most research on e-commerce has focused on deliberate rational cognition, yet research in
psychology and marketing suggests that buying decisions may also be influenced by …
psychology and marketing suggests that buying decisions may also be influenced by …
A bibliography of non-deterministic lot-sizing models
Non-deterministic lot-sizing models are considered which serve for an explicit determination
of lot sizes in an uncertain environment. Taxonomy components for such models are …
of lot sizes in an uncertain environment. Taxonomy components for such models are …
A multistage decision optimization approach for train timetable rescheduling under uncertain disruptions in a high-speed railway network
P Zhang, P Zhao, K Qiao, P Wen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Railway operations are vulnerable to unexpected disruptions that should be handled in an
efficient and passenger-friendly way. This paper focuses on a real-time train timetable …
efficient and passenger-friendly way. This paper focuses on a real-time train timetable …
Selecting optimal selling format of a product in B2C online auctions with boundedly rational customers
ZZ Jiang, SC Fang, ZP Fan, D Wang - European Journal of Operational …, 2013 - Elsevier
The advancement of Internet technology has enabled new formats for selling products in the
B2C online auctions. At present, on the major online auction sites, there exist three popular …
B2C online auctions. At present, on the major online auction sites, there exist three popular …
Dynamic lot-sizing models for retailers with online channels
H Xu, C Chu, J Zhang - International Journal of Production Economics, 2017 - Elsevier
This paper studies inventory replenishment planning problems for retailers with online
channels. Such retailer is able to obtain advance demand information (ADI) in an …
channels. Such retailer is able to obtain advance demand information (ADI) in an …
Approaches to multistage one-shot decision making
P Guo, Y Li - European Journal of Operational Research, 2014 - Elsevier
In this research, multistage one-shot decision making under uncertainty is studied. In such a
decision problem, a decision maker has one and only one chance to make a decision at …
decision problem, a decision maker has one and only one chance to make a decision at …
Optimal inventory control with sequential online auction in agriculture supply chain: An agent-based simulation optimisation approach
With the development of e-commerce, in agriculture supply chain, online auction is adopted
as an inventory clearing tool. Comparing to mathematical models studying inventory control …
as an inventory clearing tool. Comparing to mathematical models studying inventory control …
Sequential auction for cloud manufacturing resource trading: A deep reinforcement learning approach to the lot-sizing problem
Cloud manufacturing is a rapidly growing trend in modern manufacturing, which has
transformed the traditional operations and value chain structure of enterprises. It is crucial to …
transformed the traditional operations and value chain structure of enterprises. It is crucial to …