เปรียบเทียบวิธี

	แบบจำลองการจัดสรรตำแหน่งที่ตั้ง (Location-Allocation Models)	การโปรแกรมจำนวนเต็ม (Integer Programming
สาขาวิชา	การวิเคราะห์เชิงพื้นที่	การหาค่าเหมาะที่สุด
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1963	1958
ผู้ริเริ่ม	Leon Cooper; S. L. Hakimi	Ralph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960)
ประเภท	Spatial facility-location optimization	Mathematical optimisation — exact combinatorial method
แหล่งต้นตำรับ	Cooper, L. (1963). Location-allocation problems. Operations Research, 11(3), 331–343.	Wolsey, L.A. (1998). Integer Programming. Wiley. ISBN: 9780471283669
ชื่อเรียกอื่น	facility location, p-median problem, maximal covering location problem, yer-tahsis modelleri	IP, MIP, mixed-integer programming, mixed-integer linear programming
ที่เกี่ยวข้อง	4	4
สรุป	Location-allocation models decide where to place a set of facilities and simultaneously assign demand points to them so as to optimize an objective such as total travel cost, worst-case distance, or population covered. Rooted in the operations-research work of Cooper (1963) and Hakimi (1964) and central to network GIS, they answer questions like where to site warehouses, hospitals, fire stations, or schools to best serve a spatially distributed population.	Integer programming (IP), also called mixed-integer programming (MIP) when only some variables are restricted to whole numbers, is a branch of mathematical optimisation in which some or all decision variables must take integer or binary values. Building on linear programming, it was formalised through Ralph Gomory's cutting-plane method (1958) and the Land-and-Doig branch-and-bound algorithm (1960), and it has since become the standard exact framework for scheduling, assignment, routing, and resource-allocation problems.