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2782. Probabilistic Control for Reducing the Bullwhip Effect in Recycling-Enhanced Supply Chains

Invited abstract in session WD-23: Information sharing in sustainable supply chains, stream Circular Economy, Remanufacturing and Recycling .

Wednesday, 14:30-16:00
Room: 82 (building: 116)

Authors (first author is the speaker)

1. Christos Papanagnou
Engineering Systems and Supply Chain Management, Aston University
2. Randa Herzallah
Mathematics Institute, The University of Warwick

Abstract

This study introduces a decision-making methodology employing probabilistic control to reduce the bullwhip effect within recycling-inclusive closed-loop supply chains. Replenishment policies are refined to incorporate recycling operations, and probabilistic controllers are utilised to manage inventory and information flow dynamics. We construct a state space model that encompasses inventory levels, information flow, and recycling activities, capturing their complex interrelations. This model is analysed under stationary conditions, with stochastic customer demand characterised using conditional probability density functions, providing insights into supply chain behaviours.

We explore the characteristics of the bullwhip effect and assess the overall stability of the supply chain. Simulations are conducted to evaluate the effectiveness of our probabilistic control strategy in managing and stabilising the supply chain during such disturbances. The ultimate goal is to enhance supply chain efficiency and resilience in the face of uncertainties through this innovative control approach.

Keywords

Status: accepted


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