Logistics Optimisation: A Cyber Physical Model

Chuks Nnamdi Medoh and Arnesh Telukdarie
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Chuks Nnamdi Medoh: University of Johannesburg, Johannesburg, South Africa
Arnesh Telukdarie: Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa

International Journal of Business Analytics (IJBAN), 2020, vol. 7, issue 1, 54-76

Abstract: Contemporary multinationals exist in a dynamic digital age in which business units direct enormous attention to technological solutions and business challenges, especially logistics. Business units aim for solutions that are relatively effective to implement, in relation to solving business challenges ensuring sustainability. This research seeks to present value add relative to business process optimisation model based on 4IR (Fourth Industrial Revolution) implementations, specific to multinational logistics optimisation. The onset of the 4IR has advanced businesses significantly, specifically to logistics optimisation. This article assumes a business process-centric modelling approach via industry 4.0 implementations to model and predicts the optimum logistics execution time. This is facilitated based on defined scenarios with all potential variables affecting configured sets of logistics business functions. The results address the present gap related to presenting a process-centric and systemic architecture effective to simulate the impact of change on a business.

Date: 2020
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