Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/19015
Title: Framework for embedding strategic use of simulation and optimization technologies in supply chain management
Authors: Gunathilaka, R.
Perera, T.
Keywords: Supply chain system design
Supply chain optimization
Supply chain simulation
Supply chain system
Issue Date: 2018
Publisher: International Research Conference on Smart Computing and Systems Engineering - SCSE 2018
Citation: Gunathilaka,R. and Perera,T. (2018). Framework for embedding strategic use of simulation and optimization technologies in supply chain management. International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka. p.122.
Abstract: Simulation and optimisation technologies provide virtual environments to fine tune supply chain operations and to develop best operational configurations and strategies. However, recent review of literature and a survey of industry professionals revealed that in most instances, these technologies are typically deployed to address specific problems in isolation. Therefore, companies are failing to reap full potential of simulation and optimisation technologies. This paper presents the development of a new framework which should enable supply chain managers to embed these technologies in their decision-making processes. The proposed framework serves as a guide which helps to (a) identify missing resources (Data, Assets, Stakeholders and Processes) and make appropriate assumptions before design or re-design processes begin (b) Identify gaps against competitor business performance and develop strategies to deploy simulation and optimisation to narrow existing gaps and (c) develop necessary capabilities such as improving in-house logistics and / or out-sourcing for better ROI.
URI: http://repository.kln.ac.lk/handle/123456789/19015
Appears in Collections:Smart Computing and Systems Engineering - 2018 (SCSE 2018)

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