Spiegler, Virginia L.M., Naim, Mohamed M. (2017) Investigating sustained oscillations in nonlinear production and inventory control models. European Journal of Operational Research, 261 (2). pp. 572-583. ISSN 0377-2217. (doi:10.1016/j.ejor.2017.02.010) (KAR id:60308)
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Official URL: http://dx.doi.org/10.1016/j.ejor.2017.02.010 |
Abstract
Even in a deterministic setting, nonlinearities can yield unexpected dynamic behaviours in a production and inventory control system, such as sustained oscillations or limit cycles. Describing function in combination with simulation is used to analyse the effect of discontinuous nonlinearities
on the system responses. Utilising a nonlinear production and inventory control model, we investigate the occurrence of limit cycles and propose a technique to predict their amplitude, frequency and stability and to control such oscillations. Findings suggest that, even for an autonomous production and inventory control system, limit cycles do occur and this periodic behaviour occurs due to non-negativity constraint in the ordering rule. Moreover, we demonstrate the potential of the describing function method to provide insight into the impact of system constraints and therefore facilitate a more effective system design. This paper fills a gap in the literature on nonlinear supply chain dynamics by expanding and complementing the sparse recent research in this area. Most previous studies have either focused on linear mathematical models or relied on simulation, which
greatly limit the relevancy and/or rigour of the published results.
Item Type: | Article |
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DOI/Identification number: | 10.1016/j.ejor.2017.02.010 |
Uncontrolled keywords: | Inventory; Nonlinear supply chain dynamics; Describing function; Rogue seasonality; Limit cycle |
Subjects: | H Social Sciences > H Social Sciences (General) |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Depositing User: | Virginia Spiegler |
Date Deposited: | 10 Feb 2017 08:45 UTC |
Last Modified: | 05 Nov 2024 10:53 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/60308 (The current URI for this page, for reference purposes) |
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