השוואת שיטות

	תזמון מפעל ייצור	מודל SCOR
תחום	ניהול תפעול	ניהול תפעול
משפחה	Machine learning	Machine learning
שנת המקור	2016	1996
הוגה השיטה	Pinedo, M. L.	Pittiglio, Rabin, Todd & McGrath
סוג	Combinatorial scheduling problem	Supply chain reference framework
מקור מכונן	Pinedo, M. L. (2016). Scheduling: Theory, algorithms, and systems (5th ed.). Cham: Springer.	Stewart, G. (1997). Supply chain operations reference model: SCOR, logistics information management, Vol. 10 No. 5, pp. 62-74.
כינויים	job scheduling, machine scheduling	—
קשורות	5	5
תקציר	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.	The Supply Chain Operations Reference Model is a standardized framework for supply chain management developed by the Supply Chain Council (now APICS) in 1996. SCOR provides a structured approach to identify, evaluate, and improve supply chain processes across organizations, regardless of industry. It integrates planning, sourcing, manufacturing, delivery, and returns into a coherent operational model.