Project risk management using multiple criteria decision-making technique and decision tree analysis:a case study of Indian oil refinery

This study proposes an integrated analytical framework for effective management of project risks using combined multiple criteria decision-making technique and decision tree analysis. First, a conceptual risk management model was developed through thorough literature review. The model was then applied through action research on a petroleum oil refinery construction project in the Central part of India in order to demonstrate its effectiveness. Oil refinery construction projects are risky because of technical complexity, resource unavailability, involvement of many stakeholders and strict environmental requirements. Although project risk management has been researched extensively, practical and easily adoptable framework is missing. In the proposed framework, risks are identified using cause and effect diagram, analysed using the analytic hierarchy process and responses are developed using the risk map. Additionally, decision tree analysis allows modelling various options for risk response development and optimises selection of risk mitigating strategy. The proposed risk management framework could be easily adopted and applied in any project and integrated with other project management knowledge areas

Turbulence and Transport of Passive Scalar in Magnetohydrodynamic Channel Flow

An imposed magnetic field influences the flow structure and transport characteristics of a moving electrically conducting fluid. Such magnetohydrodynamic (MHD) flows are ubiquitous in nature and technological applications, for example in casting of steel and aluminum and growth of semiconductor crystals. In many situations, the effect of the magnetic field is combined with that of mean shear and occurs in the presence of transport of heat and admixtures. In the performed doctoral research, extensive Direct Numerical Simulations (DNS) are conducted for the flows of an electrically conducting fluid in a channel with imposed magnetic field. The cases of wall-normal, spanwise and streamwise orientations of the magnetic field are considered. The strength of the magnetic field varies in such a way that the flow transitions from fully turbulent state to slightly below the laminarization threshold. The main goal of the investigation is to understand the flow transformation and the effect of the magnetic field on the characteristics of the transport of a passive scalar (e.g. temperature or admixture). It is found how the magnetic field affects the scalar distribution and the rate the turbulent transport across the channel. In the range of the magnetic field strengths considered, the effect is strong in the cases of the wall-normal and spanwise magnetic field, but weaker in the case of the streamwise field. A major outcome of the study is the establishment of a nearly linear dependency of the turbulent scalar flux of the magnetic interaction parameter (the Stuart number). One-dimensional models, of flow field and scalar distribution with approximations of eddy diffusivity and eddy viscosity are developed on the basis of the computational results. Scalar transport and perturbation dynamics are also investigated for the channel flow with spanwise magnetic field for the flow regime characterized by the large-scale intermittency characterized by long periods of nearly laminar, nearly two-dimensional behavior interrupted by brief turbulent bursts.Ph.D.College of Engineering & Computer ScienceUniversity of Michigan-Dearbornhttps://deepblue.lib.umich.edu/bitstream/2027.42/142809/1/Dey Final Dissertation.pdfDescription of Dey Final Dissertation.pdf : Dissertatio

Decision support system for spare parts warehousing

Spare parts warehousing decision-making plays an important role in today's manufacturing industry as it derives an optimum inventory policy for the organizations. Previous research on spare parts warehousing decision-making did not deal with the problem holistically considering all the subjective and objective criteria of operational and strategic needs of the manufacturing companies in the process industry. This study reviews current relevant literature and develops a conceptual framework (an integrated group decision support system) for selecting the most effective warehousing option for the process industry using the analytic hierarchy process (AHP). The framework has been applied to a multinational cement manufacturing company in the UK. Three site visits, eight formal interviews, and several discussions have been undertaken with personnel of the organization, many of which have more than 20 years of experience, in order to apply the proposed decision support system (DSS). Subsequently, the DSS has been validated through a questionnaire survey in order to establish its usefulness, effectiveness for warehousing decision-making, and the possibility of adoption. The proposed DSS is an integrated framework for selecting the best warehousing option for business excellence in any manufacturing organization

Supply chain integration in the UK bioenergy industry:findings from a pilot study

Interest in bioenergy as a viable alternative to fossil fuels is increasing. This emergent sector is subject to a range of ambitious initiatives promoted by National Governments to generate energy from renewable sources. Transition to energy production from biomass still lacks a feasible infrastructure particularly from a supply chain and business perspective. Supply chain integration has not been studied widely providing a deficit in the literature and in practice. This paper presents results from a pilot study designed to identify attributes that helps optimise such supply chains. To consider this challenge it is important to identify those characteristics that integrate bioenergy supply chains and ascertain if they are distinct from those found in conventional energy models. In general terms the supply chain is defined by upstream at the point of origin of raw materials and downstream at the point of distribution to final customer. It remains to be seen if this is the case for bioenergy supply chains as there is an imbalance between knowledge and practice, even understanding the terminology. The initial pilot study results presented in the paper facilitates understanding the gap between general supply chain knowledge and what is practiced within bioenergy organisations

A comprehensive approach to quality management of intensive care services

Purpose – The purpose of this paper is to develop a comprehensive framework for improving intensive care unit performance. Design/methodology/approach – The study introduces a quality management framework by combining cause and effect diagram and logical framework. An intensive care unit was identified for the study on the basis of its performance. The reasons for not achieving the desired performance were identified using a cause and effect diagram with the stakeholder involvement. A logical framework was developed using information from the cause and effect diagram and a detailed project plan was developed. The improvement projects were implemented and evaluated. Findings – Stakeholders identified various intensive care unit issues. Managerial performance, organizational processes and insufficient staff were considered major issues. A logical framework was developed to plan an improvement project to resolve issues raised by clinicians and patients. Improved infrastructure, state-of-the-art equipment, well maintained facilities, IT-based communication, motivated doctors, nurses and support staff, improved patient care and improved drug availability were considered the main project outputs for improving performance. The proposed framework is currently being used as a continuous quality improvement tool, providing a planning, implementing, monitoring and evaluating framework for the quality improvement measures on a sustainable basis. Practical implications – The combined cause and effect diagram and logical framework analysis is a novel and effective approach to improving intensive care performance. Similar approaches could be adopted in any intensive care unit. Originality/value – The paper focuses on a uniform model that can be applied to most intensive care units

Managing supply chain integration:contemporary approaches and scope for further research

The editorial section of the special issue of Production Planning & Control discusses contemporary approaches and scope for further research into the management of supply chain integration. Supply chain integration (SCI) is one of the major challenges in enhancing supply chain performance. Building and sustaining competitive advantage requires strategic collaboration between supply chain partners and synchronized management of intra- and inter-organizational practices and processes. The special issue attempts to address some of the fundamental SCI questions, which include but are not limited to the fields of organizational collaboration, information technology (IT) use, and risk and vulnerability management. The editorial first reviews a few key articles on SCI to provide information about the existing state of knowledge on SCI along with scope for further research

Business process management in health care : current challenges and future prospects

The emphasis of performance management in health care is shifting from output or outcome-based to a system-based approach. In particular, clinicians and managers are re-focusing their attention on processes so as to achieve better health system performance, as a reaction to the financial crisis. Health care management is increasingly applying systems thinking and business process management (BPM) as philosophies, which have proved to make a difference in organizational performance and competitiveness to the industry at large. This commentary provides answers to five questions that emerged through a reflective exercise and use of secondary data sources and informal interviews. These questions are intended to contribute toward better understanding of the meaning and application of BPM by scholars and practitioners in health care management. The questions are as follows: What is BPM and is it relevant to health care? Has BPM been extensively applied to health care? Why focus on quality in health care delivery? What are the current challenges of health care and can BPM help? What role BPM will play in future to facilitate effective health care management?peer-reviewe