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Models for the Layout Problem
Chapter 10
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Models Physical Analog Mathematical
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Analog Model
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Algorithms Computation time requirement comparison of polynomial and nonpolynomial algorithms[1] TCF Problem Size P or NP Complete 10 20 40 60 N 0.001 seconds 0.002 seconds 0.004 seconds 0.006 seconds P-complete N3 0.008 seconds 0.064 seconds 0.216 seconds 2n 1.0 seconds 12.7 days 366 centuries NP-complete [1] Based on data in Garey and Johnson (1979).
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Generic Modeling Tools
Mathematical Programming Queuing and Queuing Network Simulation Queue Server(s) Arrival Process Departure Process
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Single-row layout
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Multi-row layout
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Airport terminal gates
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Department shape approximation
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Single-row layout modeling
xj li lj xi Dept i Dept j
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Parameters and variables for the single-row layout model
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)
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ABSMODEL 1 Subject to . . . li lj xi Dept i Dept j xj
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Do Example 1 in LINGO General repair area Customer service
Parts display R o m 1 2 3 4 5 Room Number Room Name Dimensions (in feet) - 12 8 20 TV/VCR 20 x 10 6 Audio 10 x 10 [fij]= 10 Microwave Computer Parts 15 x 10
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LMIP 1? Minimize Subject to
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LMIP 1 Minimize Subject to
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LINGO Do Example 2 in LINGO without integer variables
Machine Dimensions Horizontal Clearance Matrix Flow Matrix 1 2 3 4 5 25x20 - 3.5 5.0 25 35 50 35x20 3.0 10 15 20 30x30 40x20 35x35 Do Example 2 in LINGO without integer variables Do Example 2 in LINGO with integer variables
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QAP Parameters: n total number of departments and locations
1 2 a b b,1 d,2 3 4 c d c,3 a,4 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:
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QAP i=1,2,...,n Subject to j=1,2,...,n i, j=1,2,...,n
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Do Example 3 in LINGO Office Site O 1 2 3 4 f - 17 12 11 S [fNij]=
[dij]= i t c e
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ABSMODEL 2 Minimize Subject to |xi – xj| + |yi – yj| > 1 i=1,2,...,n–1; j=i+1,...,n xi, yi = integer i=1,...,n
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Do Example 4 in LINGO Office Site O 1 2 3 4 f - 17 12 11 S [fNij]=
[dij]= i t c e
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ABSMODEL 3 Minimize |xi – xj| +Mzij> 0.5(li+lj)+dhij i=1,2,...,n–1; j=i+1,...,n |yi – yj| +M(1-zij)> 0.5(bi+bj)+dvij i=1,2,...,n–1; j=i+1,...,n zij(1-zij) = i=1,2,...,n–1; j=i+1,...,n xi, yi > i=1,...,n Subject to
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Do Example 5 in LINGO Office Trips Matrix O 1 2 3 4 5 Office
Dimensions (in feet) f - 10 15 20 25 x 2 30 35 25 x 20 [fij] = i 35 x 30 c 30 x 20 e 35 x 20
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LMIP 2 Subject to
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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
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LP for generating blockplan (cont.)
Subject to
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