Search Results - "Adulyasak, Yossiri"

Benders Decomposition for Production Routing Under Demand Uncertainty by Adulyasak, Yossiri, Cordeau, Jean-François, Jans, Raf

“…The production routing problem (PRP) is a generalization of the inventory routing problem and concerns the production and distribution of a single product from…”
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Models and Algorithms for Stochastic and Robust Vehicle Routing with Deadlines by Adulyasak, Yossiri, Jaillet, Patrick

“…We consider the vehicle routing problem with deadlines under travel time uncertainty in the contexts of stochastic and robust optimization. The problem is…”
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Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems by Ghosh, Supriyo, Varakantham, Pradeep, Adulyasak, Yossiri, Jaillet, Patrick

“…Bike Sharing Systems (BSSs) are widely adopted in major cities of the world due to concerns associated with extensive private vehicle usage, namely, increased…”
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Robust facility location under demand uncertainty and facility disruptions by Cheng, Chun, Adulyasak, Yossiri, Rousseau, Louis-Martin

“…•Study a fixed-charge location problem with both provider-side and receiver-side uncertainties.•Apply a two-stage robust optimization framework for the…”
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Managing flexibility in stochastic multi-level lot sizing problem with service level constraints by Sereshti, Narges, Adulyasak, Yossiri, Jans, Raf

“…We investigate the stochastic multi-level lot sizing problem with a service level and in a general setting in which it is possible to have independent demand…”
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The value of aggregate service levels in stochastic lot sizing problems by Sereshti, Narges, Adulyasak, Yossiri, Jans, Raf

“…•Proposing the idea of an aggregate service level for the stochastic lot sizing problem.•Generalizing the existing formulations for different service levels…”
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Drone routing with energy function: Formulation and exact algorithm by Cheng, Chun, Adulyasak, Yossiri, Rousseau, Louis-Martin

“…•The first to formulate a multi-trip drone routing problem.•Logical cuts and subgradient cuts for nonlinear energy function.•2-index formulation and…”
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Robust drone selective routing in humanitarian transportation network assessment by Zhang, Guowei, Jia, Ning, Zhu, Ning, Adulyasak, Yossiri, Ma, Shoufeng

“…•We proposed a robust team orienteering arc routing problem on a multigraph (RTOARPM) in disaster context.•There are multiple edges between two nodes in which…”
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Seaport adaptation and capacity investments under inter-port competition and climate-change uncertainty by Xia, Wenyi, Mishra, Jayanti, Adulyasak, Yossiri

“…Climate-related disasters are causing increasing damage to seaports, necessitating investment in climate-change adaptation to enhance resilience. In addition,…”
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Humanitarian transportation network design via two-stage distributionally robust optimization by Zhang, Guowei, Jia, Ning, Zhu, Ning, He, Long, Adulyasak, Yossiri

“…Natural disasters are highly unpredictable, with varying degrees of magnitude, and thus require a reliable and robust humanitarian relief network. Faced with…”
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Robust optimization for lot-sizing problems under yield uncertainty by Metzker, Paula, Thevenin, Simon, Adulyasak, Yossiri, Dolgui, Alexandre

“…Production yield can be highly volatile and uncertain, especially in industries where exogenous and environmental factors such as the climate or raw material…”
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The production routing problem: A review of formulations and solution algorithms by Adulyasak, Yossiri, Cordeau, Jean-François, Jans, Raf

“…The production routing problem (PRP) combines the lot-sizing problem and the vehicle routing problem, two classical problems that have been extensively studied…”
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Material Requirements Planning Under Demand Uncertainty Using Stochastic Optimization by Thevenin, Simon, Adulyasak, Yossiri, Cordeau, Jean‐François

“…Material Requirements Planning (MRP), a core component of enterprise resource planning (ERP) systems, is widely used by manufacturers to determine the…”
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Research manuscript: The Bullwhip Effect in rule-based supply chain planning systems–A case-based simulation at a hard goods retailer by Nguyen, Duy Tan, Adulyasak, Yossiri, Landry, Sylvain

“…•Retailer's central role in information sharing and Bullwhip Effect reduction.•Flowcasting helps reduce stockout and average inventory partially.•Upstream…”
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Optimization-Based Adaptive Large Neighborhood Search for the Production Routing Problem by Adulyasak, Yossiri, Cordeau, Jean-François, Jans, Raf

“…Operational problems arising in the planning of integrated supply chains have been increasingly studied in the past decade. Among these, the production routing…”
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Adaptive robust optimization for lot-sizing under yield uncertainty by Metzker Soares, Paula, Thevenin, Simon, Adulyasak, Yossiri, Dolgui, Alexandre

“…•We provide our contributions from a theoretical to an empirical perspective.•An optimal myopic adaptive robust policy is given for the inventory management…”
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Distributionally robust facility location with uncertain facility capacity and customer demand by Cheng, Chun, Yu, Qinxiao, Adulyasak, Yossiri, Rousseau, Louis-Martin

“…This study explores a capacitated facility location problem where facility capacity and customer demand are subject to uncertainties simultaneously. This…”
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Scheduling multi-staged jobs on parallel identical machines and a central server with sequence-dependent setup times: An application to an automated kitchen by Belieres, Simon, Adulyasak, Yossiri, Cordeau, Jean-François

“…We address the problem of scheduling multi-staged jobs in a production environment with parallel identical machines and a central server with…”
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Identifying arbitrage opportunities in retail markets with artificial intelligence by Tanlamai, Jitsama, Khern-am-nuai, Warut, Adulyasak, Yossiri

“…This study uses an artificial intelligence (AI) model to identify arbitrage opportunities in the retail marketplace. Specifically, we develop an AI model to…”
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Sampling Based Approaches for Minimizing Regret in Uncertain Markov Decision Processes (MDPs) by Ahmed, Asrar, Varakantham, Pradeep, Lowalekar, Meghna, Adulyasak, Yossiri, Jaillet, Patrick

“…Markov Decision Processes (MDPs) are an effective model to represent decision processes in the presence of transitional uncertainty and reward tradeoffs…”
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