Methoden vergleichen

	SMED	Werkstattfertigungsplanung
Fachgebiet	Produktions- und Betriebsmanagement	Produktions- und Betriebsmanagement
Familie	Machine learning	Machine learning
Entstehungsjahr	1985	2016
Urheber	Shigeo Shingo	Pinedo, M. L.
Typ	Setup time reduction technique	Combinatorial scheduling problem
Wegweisende Quelle	Shingo, S. (1985). A revolution in manufacturing: The SMED system. Cambridge, MA: Productivity Press.	Pinedo, M. L. (2016). Scheduling: Theory, algorithms, and systems (5th ed.). Cham: Springer.
Aliasnamen	quick changeover, rapid setup	job scheduling, machine scheduling
Verwandt	5	5
Zusammenfassung	Single Minute Exchange of Die (SMED) is a systematic approach developed by Shigeo Shingo in the 1980s to drastically reduce the time required to changeover equipment from producing one product to another. The methodology, part of the Toyota Production System, aims to reduce setup time to a single-digit minute range (ideally under nine minutes), enabling smaller batch sizes, faster response to customer demand, and improved flexibility in manufacturing. SMED is a cornerstone of lean manufacturing and just-in-time production.	Job shop scheduling is the problem of assigning a set of jobs (tasks) to a set of machines (resources) over time, subject to precedence and capacity constraints, with the goal of optimizing performance metrics such as makespan (total completion time), lateness, or cost. The job shop problem is a classic combinatorial optimization problem in operations research, addressed through heuristics (greedy dispatching rules, simulated annealing, genetic algorithms) and exact algorithms (branch-and-bound, constraint programming). It is fundamental to manufacturing, project management, and computational scheduling.