Discrete-event simulation to support the management of perishable inventory – A review
Staff, ME; Mustafee, N
Date: 27 March 2023
Conference paper
Publisher
Operational Research Society
Publisher DOI
Related links
Abstract
The importance of inventory management has been widely acknowledged both in practice and in
academic research, with perishable products constituting an additional complexity in the field. Discrete
Event Simulation (DES) is amongst the most frequently used Operations Research methods that allow
the incorporation of stochasticity ...
The importance of inventory management has been widely acknowledged both in practice and in
academic research, with perishable products constituting an additional complexity in the field. Discrete
Event Simulation (DES) is amongst the most frequently used Operations Research methods that allow
the incorporation of stochasticity (reflective of the real-world environment) in modelling the system of
interest. Beyond providing a general overview of the publications, the review provides a more detailed
analysis of model characteristics(e.g., model objectives and outputs, issuing policy), focusing on supply
and demand uncertainty, and identifies possible opportunities for further research. As the first review
paper in this area, our work will serve as a key reference on the state-of-the-art in DES for inventory
control and its application in the management of supply chains in healthcare, retail and domains that
handle perishable inventory. Amongst the important findings is that lifetime is generally assumed to be
known a priori, neglecting the product lifetime uncertainty.
Management
Faculty of Environment, Science and Economy
Item views 0
Full item downloads 0