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Explore physical, analog, and mathematical models for airport terminal layout, comparing polynomial and nonpolynomial algorithms based on Garey and Johnson's data. Use mathematical programming, queuing network simulation, and optimization to design single-row and multi-row layouts for terminal gates. Define parameters and decision variables for efficient layout design. Apply mathematical models for a comprehensive modeling approach. Includes examples in LINGO software for optimization and operations research.
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Models for the Layout Problem Chapter 10
Models • Physical • Analog • Mathematical
Algorithms Computation time requirement comparison of polynomial and nonpolynomial algorithms[1] [1] Based on data in Garey and Johnson (1979).
Server(s) Arrival Process Departure Process Queue Generic Modeling Tools • Mathematical Programming • Queuing and Queuing Network • Simulation
Terminal Gates Airport terminal gates
li lj Dept i Dept j xi xj Single-row layout modeling
Parameters and variables for the single-row layout model Parameters: • n number of departments in the problem • cij cost of moving a unit load by a unit distance between departments i and j • fij number of unit loads between departments i and j • li length of the horizontal side of department i • dij minimum distance by which departments i and j are to be separated horizontally • H horizontal dimension of the floor plan Decision Variable: • xi distance between center of department i and vertical reference line (VRL)
li lj . . . Dept i Dept j xi xj ABSMODEL 1 Subject to
Customer service General repair area Parts display area Do Example 1 in LINGO
LMIP 1? Minimize Subject to
LMIP 1 Minimize Subject to
LINGO • Do Example 2 in LINGO without integer variables • Do Example 2 in LINGO with integer variables Machine Dimensions Horizontal Clearance Matrix Flow Matrix
QAP Parameters: n total number of departments and locations aij net revenue from operating department i at location j fik flow of material from department i to k cjl cost of transporting unit load of material from location j to l Decision Variable:
QAP i=1,2,...,n Subject to j=1,2,...,n i, j=1,2,...,n
Do Example 3 in LINGO Office Site
ABSMODEL 2 Minimize |xi – xj| + |yi – yj|> 1 i=1,2,...,n–1; j=i+1,...,n xi, yi = integeri=1,...,n Subject to
Do Example 4 in LINGO Office Site
ABSMODEL 3 Minimize |xi – xj| +Mzij> 0.5(li+lj)+dhiji=1,2,...,n–1; j=i+1,...,n |yi – yj| +M(1-zij)> 0.5(bi+bj)+dviji=1,2,...,n–1; j=i+1,...,n zij(1-zij)= 0 i=1,2,...,n–1; j=i+1,...,n xi, yi>0 i=1,...,n Subject to
Do Example 5 in LINGO Office Trips Matrix
LMIP 2 Subject to
LP for generating blockplan Parameters Upper and lower bounds on the length of department i Upper and lower bounds on the width of department i Upper and lower bounds on the perimeter of department i Set of department pairs adjacent in the horizontal and vertical dimensions, respectively Decision Variables x, y coordinates of upper right corner of department i x, y coordinates of lower left corner of department i
LP for generating blockplan (cont.) Subject to