International Journal of Supply Chain Management
Vol 8, No 3 (2019): International Journal of Supply Chain Management (IJSCM)

Computation of Reliability, Average Reliability, and Maintainability of Service Demand Fulfilment Dynamically using System Dynamics

Mudjahidin, Mudjahidin ( Institut Teknologi Sepuluh Nopember, Surabaya)
Buliali, Joko Lianto ( Institut Teknologi Sepuluh Nopember, Surabaya)
Yuniarto, Muhammad Nur ( Institut Teknologi Sepuluh Nopember, Surabaya)
Suryani, Erma ( Institut Teknologi Sepuluh Nopember, Surabaya)



Article Info

Publish Date
25 Jun 2019

Abstract

An enterprise not only need information about the time-based service performance (reliability and maintenance of services) but also need to know the effect of time variables on service performance and demand dynamically so as to determine the right service time to providing the services level. This article proposes system dynamics approach to simulate the reliability, average reliability and maintainability of services and enterprise based on service time of demand fulfillment. The model created is a dynamic model that forms a closed system containing negative feedbacks that can be used to simulate. Generally, in a dynamic model with negative feedback, the decrease of time variable causes the increase of reliability of service. However, the simulation scenarios of the dynamic model with negative feedbacks in this article show the decrease of time variables (service time of demand fulfillment and its meantime, meantime of reliability function) can cause either decrease, increase or no change to the total of demand as well as number and average of demand reliability, average reliability, and maintainability in the enterprise.

Copyrights © 2019






Journal Info

Abbrev

IJSCM

Publisher

Subject

Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

Description

International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts ...