Yossiri Adulyasak

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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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Binary quadratic programming (BQP) is a class of combinatorial optimization problems comprising binary variables, quadratic objective functions and linear/no...

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This work investigates lot-sizing with component substitution under demand uncertainty. The integration of component substitution with lot-sizing in an uncer...

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Scholars and practitioners have long recognised the importance of data-driven operations and supply chain management (OSCM), which typically centres on produ...

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Berth allocation and pilotage planning are the two most important decisions made by a seaport for serving incoming vessels. Traditionally, the berth allocati...

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Two-stage stochastic programs are a class of stochastic problems where data uncertainty is often discretized into scenarios, making them amenable to solution...

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We propose a generalized decomposition approach for production planning problems with process configuration decisions. These problems appear in contexts wher...

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This paper studies the team orienteering problem, where the arrival time and service time affect the collection of profits. Such interactions result in a non...

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Dealing with demand uncertainty in multi-item lot sizing problems poses huge challenges due to the inherent complexity. The resulting stochastic formulation...

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Significant progress has been made in the field of computer vision, due to the development of supervised machine learning algorithms, which efficiently extra...

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Facility networks can be disrupted by, for example, power outages, poor weather conditions, or natural disasters, and the probabilities of these events may b...

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We study an integrated process configuration, lot-sizing, and scheduling problem, which appears in a real production environment in the packaging industry. P...

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Dantzig-Wolfe reformulation solved by Column Generation is an approach to obtain improved bounds for Mixed Integer Programs. A downside of this approach is t...

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The production routing problem (PRP) concerns the production and distribution of a single product from a production plant to multiple customers using capacit...

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The inventory routing problem (IRP) and the production routing problem (PRP) are two difficult problems arising in the planning of integrated supply chains...

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Operational problems arising in the planning of integrated supply chains have been increasingly studied in the past decade. Among these, the production rout...

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