Multiproduct newsboy data with Beta demand

Data transcribed from Table 3 of Zhang, Xu and Hua (2009), used there with a budget of K = 6500 and the unit cost c as the allocation weight. The demand distributions are Beta distributions rescaled onto [x_min, x_max], so working with them requires the trans and trans_inv arguments of add_pdqr_funs().

Usage

zxh_tab3

Format

A data frame with 6 rows and 11 columns:

Product

product number.

v

cost of revenue lost per unit not stocked.

h

cost incurred per unit left over.

c

cost per unit.

x_min

lower bound of the demand distribution's support.

x_max

upper bound of the demand distribution's support.

Balpha

the shape1 parameter of the demand distribution.

Bbeta

the shape2 parameter of the demand distribution.

q_zxh

the (v - c) / (h + v) quantile of the demand distribution, as given by Zhang, Xu and Hua.

GIM

solution of Abdel-Malek and Montanari (2005a).

Opt

optimal solution reported by Zhang, Xu and Hua.

Source

B. Zhang, X. Xu, and Z. Hua, "A binary solution method for the multiproduct newsboy problem with budget constraint," Int. J. Prod. Econ., vol. 117, no. 1, pp. 136-141, 2009.

See also

zxh_tab2 for the Normal-demand example.