The Open UniversitySkip to content
 

Capacity restrictions and supply chain performance: Modelling and analysing load-dependent lead times

Cannella, Salvatore; Dominguez, Roberto; Ponte, Borja and Framinan, Jose M. (2018). Capacity restrictions and supply chain performance: Modelling and analysing load-dependent lead times. International Journal of Production Economics, 204 pp. 264–277.

Full text available as:
Full text not publicly available (Accepted Manuscript)
Due to publisher licensing restrictions, this file is not available for public download until 7 February 2020
Click here to request a copy from the OU Author.
DOI (Digital Object Identifier) Link: https://doi.org/10.1016/j.ijpe.2018.08.008
Google Scholar: Look up in Google Scholar

Abstract

Several studies have reported that capacitated supply chains may benefit from an improved dynamic performance as compared to unconstrained ones. This occurs as a consequence of the capacity limit acting as a production smoothing filter. In this research, the relationship between capacity restrictions and the operational performance of supply chains is investigated from a novel perspective, i.e. we assume that the influence of capacity constraints on lead times depends on the supply chain's responsiveness. Under these circumstances, the experiments show that there is a negative effect of capacity constraints on supply chain performance, both in terms of process efficiency (internal) and customer satisfaction (external). Nonetheless, the magnitude of this impact greatly depends on the responsiveness of the firm, market conditions and adopted policies for inventory management. More specifically, the combination of tight capacity restrictions and low responsiveness significantly contributes to decrease supply chain performance, which may be very damaging for the dynamic behavior of the system. In this sense, efficient capacity planning proves to be essential to prevent the supply chain from entering into a vicious circle.

Item Type: Journal Item
Copyright Holders: 2018 Elsevier B.V.
ISSN: 0925-5273
Academic Unit/School: Faculty of Business and Law (FBL) > Business > Department for People and Organisations
Faculty of Business and Law (FBL) > Business
Faculty of Business and Law (FBL)
Item ID: 56416
Depositing User: Borja Ponte Blanco
Date Deposited: 31 Aug 2018 14:34
Last Modified: 10 Jun 2019 21:42
URI: http://oro.open.ac.uk/id/eprint/56416
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU