Introduces stochastic programming models for assembly line balancing to address uncertain inputs
Develops both exact and heuristic methods for solving these complex problems
Case study on mask production during the COVID-19 pandemic demonstrates practical application
Designed for graduate students interested in combinatorial optimization in manufacturing
Summarized by Shop
Engineering Applications of Computational Methods Li, Yuchen
This book introduces several mathematical models in assembly line balancing based on stochastic programming and develops exact and heuristic methods to solve them. An assembly line system is a manufacturing process in which parts are added in sequence from workstation to worksta