Analysing uncertainties and their impacts on deliveries of a logging company: simulation model to foster supply chain resilience
by Peter Mensah; Yuri Merkuryev; Jelena Pecerska; Francesco Longo
International Journal of Simulation and Process Modelling (IJSPM), Vol. 14, No. 3, 2019

Abstract: The supply chain in today's competitive world faces uncertainties that might disrupt any part between the upper and lower levels affecting the flow of raw materials, products as well as information and money. The lower level, consisting of the delivery of goods in the form of raw materials and or finished products to customers on time, is vital as it enhances customers' loyalty. This could boost competitive advantages yielding to higher profitability of organisations over their rivals. However, to achieve and sustain these advantages, organisations need to identify and analyse the risks and their impacts on deliveries especially during strategic and operational decision making processes. Hence, modelling and simulation may be utilised as an effective tool to support decision making when planning delivery patterns. Consequently, a research is conducted in a logging company, Company 'L', to comprehend the way uncertainties affect deliveries. This article therefore uses a simulation model as a tool to boost managerial decision making, with reference to Company 'L', by identifying and analysing uncertainties and portraying their impacts on deliveries. This will enable the organisation to be agile and flexible enough to combat uncertainties.

Online publication date: Mon, 22-Jul-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Simulation and Process Modelling (IJSPM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email