Lot splitting under learning effects with minimal revenue requirements and multiple lot types

Serin Y. Y., KAYALIGIL S.

IIE TRANSACTIONS, vol.35, no.8, pp.689-698, 2003 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 35 Issue: 8
  • Publication Date: 2003
  • Doi Number: 10.1080/07408170390225697
  • Journal Name: IIE TRANSACTIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.689-698
  • Middle East Technical University Affiliated: Yes

Abstract

The lot splitting problem in the presence of learning is addressed. This work is an extension of an approach proposed for splitting in the case of a single item. We address the issue of a minimal revenue requirement from partial deliveries until a predetermined time. This is achieved by imposing a constraint on what is originally an unconstrained optimization problem. When sublots of different items are involved, the optimal splitting decisions have to be combined with the sequencing of the deliveries. Numerical examples are presented to demonstrate the proposed approach.