Perishable inventory control with backlogging penalties: A mixed-integer linear programming model via two-step approximation

This study proposes a novel approximate mixed-integer linear programming (MILP) model for the perishable inventory control problem considering non-stationary demands and backlogging penalties. Because of the existence of the waste costs incurred by outdated products in the cost function, it is diffi...

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Bibliographic Details

Published in:	Computers & operations research Vol. 176; p. 106953
Main Authors:	Wu, Yulun, Tanaka, Shunji
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.04.2025
Subjects:	Inventory control Mixed-integer linear programming model Non-stationary demands Perishable products Piecewise linearization Inventory control Non-stationary demands Perishable products Mixed-integer linear programming model Piecewise linearization
ISSN:	0305-0548
Online Access:	Get full text
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