• Decision-making model for supply chain risk management in the petroleum industry

      Aroge, Olatunde O.; Rahmanian, Nejat; Munive-Hernandez, J. Eduardo; Abdi, Reza (2020)
      The purpose of this paper is to develop a decision-making model for supporting the management of risks in supply chain. This proposed model is applied to the case of the oil industry in Nigeria. A Partial Least Square Structural Equation Model (PLS-SEM) is developed to measure the significance of the influence of risk management strategy on mitigating disruption risks and their correlations with the performance of activities in the supply chain and relevance of key performance measures in the organisation. The model considered seven aspects: behavioural-based management strategy, buffer based oriented management strategy, exploration and production risks, environmental and regulatory compliance risks, geopolitical risks, supply chain performance, and organisational performance measures. A survey questionnaire was applied to collect data to populate the model, with 187 participants from the oil industry. Based on the PLS-SEM methodology, an optimised risk management decision-making method was developed and accomplished. The results show that behavioural-based mechanism predicts the capacity of the organisation to manage risks successfully in its supply chain. The approach proposed provides a new and practical methodology to manage disruption risks in supply chains. Further, the behavioural-based mechanism can help to formulate risk management strategies in the oil industry.
    • Designing a knowledge management tool to support knowledge sharing networks

      Barber, Kevin D.; Perez-Aros, A.; Munive-Hernandez, J. Eduardo; Eldrige, S. (2007)
      The purpose of this paper is to present a knowledge management (KM) tool which has been designed to support the creation of virtual knowledge sharing networks (KSNs). It is a software-based application that enables the sharing of knowledge related to the implementation of manufacturing excellence (ME) best practices and improvement tools. A survey of SMEs was carried out to investigate the implementation of ME best practices. The results indicated that that the main barrier to the implementation of best practices, quality models and improvement tools is a lack of knowledge about these initiatives due to the resource constraints experienced by SMEs. This led to the development of a KM tool to support the creation of virtual networks to enable SMEs to manage improvement projects and share effectively the generated knowledge. The KM tool is currently at the stage of validation and its future implementation is also under consideration. The KM tool supports the creation of KSNs through an explicit KM approach to share ideas, experiences and knowledge about implementation of best practices and improvement tools; helping SMEs to become more competitive. This research has demonstrated that is possible to provide a KM tool that is suitable for use by a KSN of SMEs. This approach allows transferring some of the tacit and explicit knowledge generated during the implementation of improvement initiatives into electronic documents for future consultation by KSN members.
    • Process based knowledge management systems for continuous improvement

      Barber, Kevin D.; Munive-Hernandez, J. Eduardo; Keane, J. (2006)
      This paper presents a practical methodology for developing a process-based knowledge management system (KMS) for supporting continuous improvement (CI) and asset management. An action research methodology was used to develop a KMS to support CI in a manufacturing company. The KMS is evaluated through application in the case study company. This methodology ensures a consistent approach to carrying out all improvement initiatives. The final part of the methodology addresses the construction of an intranet-based knowledge warehouse. This contains several searchable areas such as existing information on assets, new knowledge generated from projects, details of expertise in the business and links to the key business drivers through the corporate intranet. The KMS is shown to support CI initiatives through the utilization of available data already held within the company's management databases (production, quality and maintenance) including consideration of corporate strategic plans. Process models trigger the application of improvement tools and projects in a true CI environment. This methodology acknowledges both tacit and explicit knowledge within the company, and it represents an appropriate environment to promote and develop a true learning organization. The system developed is shown to be flexible and has been implemented in a manufacturing environment. Financial benefits are presented.