Researchers have developed an open-source hybrid simulation and reinforcement learning environment that synchronizes continuous vehicle physics with discrete multi-modal dispatch ...
Researchers developed an optimization model showing how mobile stores selling perishable goods can maximize revenue by balancing stationary selling time ...
A new autoethnographic study in Energy Informatics proposes a reflexive framework to interpret the human and ethical dimensions of optimization ...
A game-theoretic study demonstrates that while retailer cost sharing can stimulate blockchain traceability investments in agricultural supply chains, unaddressed fairness ...
Researchers found scooter companies deliberately oversupplied sidewalks between 2018 and 2021 because riders choose vehicles largely at random, rewarding firms ...
A new algorithm refines classical loop tracing in transportation simplex methods, matching optimal solutions while cutting redundant loop enumeration and ...
A hierarchical multi-agent reinforcement learning algorithm coordinates network repair and resource scheduling in high-end equipment manufacturing, cutting modeled recovery costs ...
A new modeling study finds that deliberately pairing non-matching orphan socks can sustain daily sock service and reduce stranded wear-capacity ...
INFORMS selected 12 researchers and practitioners for 2026 Fellow honors recognizing lifetime achievement and major contributions to operations research, analytics ...
Ruth J. Williams received the 2026 INFORMS President’s Award for her work in stochastic systems, professional service and mentorship.
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