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P. A. Rubin and W. C. Benton, “Evaluating Jointly Constrained Order Quantity Complexities for Incremental Discounts,” European Journal of Operational Research, Vol. 149, No. 3, 2003, pp. 557-570.
http://dx.doi.org/10.1016/S0377-2217(02)00457-5

has been cited by the following article:

• TITLE: Models for Ordering Multiple Products Subject to Multiple Constraints, Quantity and Freight Discounts

  AUTHORS: John Moussourakis, Cengiz Haksever

  KEYWORDS: Inventory; Mixed-Integer Linear Programming; Quantity and Freight Discounts; All-Units and Incremental Discounts; Multiple Products and Multiple Constraints

  JOURNAL NAME: American Journal of Operations Research, Vol.3 No.6, November 8, 2013

  ABSTRACT: One of the most important responsibilities of a supply chain manager is to decide “how much” (or “many”) of inventory items to order and how to transport them. This paper presents four mixed-integer linear programming models to help supply chain managers make these decisions for multiple products subject to multiple constraints when suppliers offer quantity discounts and shippers offer freight discounts. Each model deals with one of the possible combinations of all-units, incremental quantity discounts, all-weight and incremental freight discounts. The models are based on a piecewise linear approximation of the number of orders function. They allow any number of linear constraints and determine if independent or common (fixed) cycle ordering has a lower total cost. Results of computational experiments on an example problem are also presented.