
Автор: Yuchen Li
Издательство: Springer
Год: 2022
Страниц: 164
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB
This book introduces several mathematical models in assembly line balancing based on stochastic programming and develops exact and heuristic methods to solve them. In a manufacturing system, an Assembly Line (AL) is a tool that uses machines to transfer raw materials or parts between workstations. ALs are widely employed to produce various types of products, such as automobiles, electronic equipment, and jewelry. The main components of a standard AL are a conveyor belt, workers, workstations, interchangeable parts, and tasks. The latter are processed by workers at workstations simultaneously. After a period of time (cycle time), parts are moved from one workstation to another. It incorporates two features, uncertain task times, and demand volatility, separately and simultaneously, into the conventional assembly line balancing model. A real-life case study related to the mask production is presented to illustrate the application of the proposed framework and methodology. The book is intended for graduate students who are interested in combinatorial optimizations in manufacturing with uncertain input.