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Tabu search to solve the Synchronized and Integrated Two-Level Lot Sizing and Scheduling Problem
(2011-08-24)
This paper proposes a tabu search approach to solve the Synchronized and Integrated Two-Level Lot Sizing and Scheduling Problem (SITLSP). It is a real-world problem, often found in soft drink companies, where the production ...
Tabu search to solve the Synchronized and Integrated Two-Level Lot Sizing and Scheduling Problem
(2011-08-24)
This paper proposes a tabu search approach to solve the Synchronized and Integrated Two-Level Lot Sizing and Scheduling Problem (SITLSP). It is a real-world problem, often found in soft drink companies, where the production ...
Development of a market projection methodology, based on clinical data, for decision making on investments in biosimilars
(Fiocruz/Instituto de Tecnologia em Imunobiológicos, 2022)
Watching the World Cup, one data point at a time
(2014-06-13)
Watching the World Cup, one data point at a time Sound the vuvuzelas, the World Cup is officially here. The biggest sporting event in the world is set to break all kinds of viewing records. Sporting in the digital world ...
Solving a Large Real-world Bus Driver Scheduling Problem with a Multi-assignment based Heuristic Algorithm
(Graz Univ Technolgoy, Inst Information Systems Computer Media-iicm, 2017-01-01)
The bus driver scheduling problem (BDSP) under study consists in finding a set of duties that covers the bus schedule from a Brazilian public transportation bus company with the objective of minimizing the total cost. A ...
Solving a large real-world bus driver scheduling problem with a multi-assignment based heuristic algorithm
(2017-01-01)
The bus driver scheduling problem (BDSP) under study consists in finding a set of duties that covers the bus schedule from a Brazilian public transportation bus company with the objective of minimizing the total cost. A ...
Experimenting with the Social Life of Homes: Sensor Governmentality and Its Frictions
(Routledge, 2021)
© 2021 Process Press.Smart devices are invading everyday spaces like our bedrooms and living rooms, making it possible to conduct new participatory experimentations in the ‘real world’. An example is the National Housing ...
Real-World Data and Machine Learning to Predict Cardiac Amyloidosis
(1) Background: Cardiac amyloidosis or “stiff heart syndrome” is a rare condition that
occurs when amyloid deposits occupy the heart muscle. Many patients suffer from it and fail to
receive a timely diagnosis mainly ...