So sánh phương pháp

	Mô hình SCOR	Lập lịch xưởng sản xuất
Lĩnh vực	Quản trị vận hành	Quản trị vận hành
Họ	Machine learning	Machine learning
Năm ra đời	1996	2016
Người khởi xướng	Pittiglio, Rabin, Todd & McGrath	Pinedo, M. L.
Loại	Supply chain reference framework	Combinatorial scheduling problem
Công trình gốc	Stewart, G. (1997). Supply chain operations reference model: SCOR, logistics information management, Vol. 10 No. 5, pp. 62-74.	Pinedo, M. L. (2016). Scheduling: Theory, algorithms, and systems (5th ed.). Cham: Springer.
Tên gọi khác	—	job scheduling, machine scheduling
Liên quan	5	5
Tóm tắt	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.	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.