On stabilizing volatile product returns

•We model a production-remanufacturing system as a discrete dynamical system.•We derive explicit conditions for stable, instable or saddle point equilibria.•For the waste paper industry, we can show that the equilibrium is a saddle point.•Even small variations of production input proportions could s...

Full description

Saved in:
Bibliographic Details
Published in:European journal of operational research 2014-05, Vol.234 (3), p.701-708
Main Authors: Nowak, Thomas, Hofer, Vera
Format: Article
Language:English
Subjects:
Constants
Constellations
Discrete dynamical systems
Dynamical systems
Elasticity
Initial conditions
Mathematical models
Nonlinear dynamics
Operational research
Operations research
OR in natural resources
Product returns
Production
Production functions
Production management
Raw materials
Studies
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•We model a production-remanufacturing system as a discrete dynamical system.•We derive explicit conditions for stable, instable or saddle point equilibria.•For the waste paper industry, we can show that the equilibrium is a saddle point.•Even small variations of production input proportions could stabilize the system.•The substitutability of the production inputs is a main driver for chaotic behavior. As input flows of secondary raw materials show high volatility and tend to behave in a chaotic way, the identification of the main drivers of the dynamic behavior of returns plays a crucial role. Based on a stylized production-recycling system consisting of a set of nonlinear difference equations, we explicitly derive parameter constellations where the system will or will not converge to its equilibrium. Using a constant elasticity of substitution production function, the model is then extended to enable coverage of real world situations. Using waste paper as a reference raw material, we empirically estimate the parameters of the system. By using these regression results, we are able to show that the equilibrium solution is a Lyapunov unstable saddle point. This implies that the system is sensitive on initial conditions that will hence impede the predictability of product returns. Small variations of production input proportions could however stabilize the whole system.
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2013.11.039