On the dynamics of order pipeline inventory in a nonlinear order-up-to system

Lin, Junyi, Huang, Hongfu, Li, Shanshan and Naim, Mohamed M. ORCID: https://orcid.org/0000-0003-3361-9400 2023. On the dynamics of order pipeline inventory in a nonlinear order-up-to system. International Journal of Production Economics 266 , 109061. 10.1016/j.ijpe.2023.109061 Item availability restricted.

PDF - Accepted Post-Print Version Restricted to Repository staff only until 4 April 2025 due to copyright restrictions. Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (1MB)

Abstract

Managing order pipeline inventory is important for controlling unwanted system dynamics, especially the bullwhip effect. We analytically explore the impact of desired target order pipeline inventory, advocated as a key decision in managing pipeline inventory, on system dynamics performance. Using control theory and system dynamics simulation, we evaluate two control mechanisms, termed as Reactive Pipeline Control (RPC) and Proactive Pipeline Control (PPC) approaches, in a nonlinear forbidden returns supply chain. We derive the analytical expressions of bullwhip under shock and seasonal demands and propose bullwhip avoidance strategies. The results indicate that an RPC based system always shows slower inventory convergence speed than that in the PPC based system, although the system with PPC policy may produce more unwanted oscillatory behaviour. Also, PPC always generates more bullwhip than that in an RPC-controlled system regardless of physical delays and system control parameters e.g. forecasting and inventory adjustment. Furthermore, compared with the linear system, the nonlinear forbidden returns system always generates less bullwhip and less oscillation at the expense of slow inventory recovery speed regardless of order pipeline control policies. Managers may consider different order pipeline control policies by jointly assessing their inherent system structure, control policies and customer demand characteristics, such as frequency and variance.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics) Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Publisher:	Elsevier
ISSN:	0925-5273
Date of First Compliant Deposit:	11 October 2023
Date of Acceptance:	3 October 2023
Last Modified:	14 Nov 2024 19:45
URI:	https://orca.cardiff.ac.uk/id/eprint/162963

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item