Affiliations: [a] National Academy of Economics Strategy, China Academy of Social Sciences, Beijing, China
| [b] Business School, Hunan University, Changsha, China
| [c] Ressearch Center of Hubei Logistics Development, Hubei University of Economics, Wuhan, China
Correspondence:
[*]
Corresponding author. Hu Xuejun, Business School, Hunan University, 410082 Changsha, China. E-mail: [email protected].
Abstract: Firms are being increasingly pressured under the current marketing environment, the uncertainty and risks has greatly influenced the Supply Chain Management project implementation. In this paper, we present a new buffer sizing method that takes into consideration the activity duration risk as well as the multi-resource constraint risk under uncertainty. First of all, the key risk factors are identified and the SCM activity duration risk is effectively assessed by using the Bayesian Network. Secondly, the resource constraint risk is appropriately determined by using the resource flow network. The, a reasonable buffer sizing method is developed for the construction of a stable critical chain scheduling plan. A numerical example and comparative study validate the effectiveness and practicability of the proposed method, which is capable of maintaining the schedule stability with a short project makespan, while ensuring a high on-time completion rate.
Keywords: Supply chain management, critical chain management, theory of constraints, buffer management
