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Table 3 shows the changes in solution structure, i.e., facings, visible facing width and order frequencies.
We use the model CSRPBS to optimize facings, visible facing width and order frequencies, and solve it using the MIP introduced in Sect. 4 (cf. Eqs. 6 10).
To handle the non-linearity, we precalculate the associated profit (p_{i} k_i,b_i,f_i)) and space requirements in the show- and backroom ((s^mathrm{{SR}}_{i} k_i,b_i,f_i)), (s^mathrm{{BR}}_{i} k_i,b_i,f_i))) for each item i and each possible combination of facings, visible facing width and order frequencies.
2012), the facing- and display orientation-dependent demand rate is a polynomial function of the number of facings (k_i) allocated to an item, the visible facing width (b_i) and the space-elasticity (beta _i) (with (0 le beta _i le 1)).
(2012) to factor in the visible facing width (b_i).
The stock per facing (g_{ib_i}) depends on the visible facing width and is 1 in case of a lengthwise orientation, and 2 in case of a crosswise orientation.
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