Сравнение методов

	Балансировка сборочной линии	Канбан
Область	Операционный менеджмент	Операционный менеджмент
Семейство	Machine learning	Machine learning
Год появления	2010	1950
Автор метода	Scholl, A.	Taiichi Ohno
Тип	Optimization problem	Production control system
Основополагающий источник	Scholl, A. (2010). Balancing and sequencing of assembly lines. Physica-Verlag.	Ohno, T. (1988). Toyota production system: Beyond large-scale production. Cambridge, MA: Productivity Press.
Другие названия	line balancing, workload balancing	visual management, pull system
Связанные	5	5
Сводка	Assembly Line Balancing is the problem of distributing a sequence of assembly tasks across a series of workstations on a production line such that work is evenly distributed, idle time is minimized, and throughput constraints are satisfied. The goal is to assign tasks to stations such that the total work time at each station is as equal as possible, optimizing for production rate (cycle time) and resource utilization. This is a classic optimization problem in manufacturing, solved through heuristic and exact algorithms, essential to the efficiency of mass production systems.	Kanban is a pull-based production control system developed by Taiichi Ohno at Toyota in the 1950s that uses visual signals (traditionally cards or bins) to trigger production and movement of materials based on actual demand rather than forecasts. The Japanese word 'kanban' means 'visual card' or 'sign,' and the system operates on the principle that work should flow in response to downstream requirements. Kanban is a foundational element of the Toyota Production System and lean manufacturing, enabling just-in-time production, reduced inventory, and improved flow efficiency.