Abstract:Purpose -This paper aims to discuss the development of an integrated management system (IMS) by linking quantitative and qualitative decision parameters with a view to rank and optimise capital projects. Roles and impacts of the non-financial criteria have been combined with traditional financial criteria for decision-making and management processes in dynamic project environment. Design methodology/approach -Both tangible and intangible information associated over project life cycle have been integrated and t… Show more
“…Development of computer-aided process simulation techniques have accelerated in recent years. However, its use for project definition, management practices and life cycle investment decisions is not widespread (Doloi, 2007). The application and influence on setting the benchmarks for management practices within the complex project management framework has proven to be a significant contribution in this research.…”
Section: Process Simulation and Decision Making In Project Lifecyclementioning
confidence: 99%
“…A thorough analysis of these objectives is an important requirement to determine the optimum project selection from the available competing alternatives. Simulation based project evaluation and decision analysis adds significant value in evaluating such alternatives by reducing uncertainties in design, implementation and operations with a greater confidence Doloi, 2007). Use of process simulation technique assists in analysing feasible design solutions based on technical, functional and operational aspects of projects.…”
Section: Objectivesmentioning
confidence: 99%
“…These LCOFs are usually derived based on the Triple Bottom Line (TBL) principles (Doloi, 2007). Fig.2 represents the perspective that Lifecycle Design Management (LCDM) takes, as opposed to the perspective adopted by the traditional design management practices.…”
“…However, good project design is not restricted to detailed design coupled with attention to interrelationships between physical parts and elements. Design must be analysed and evaluated at a deeper level and in relation to the project's operational environments (Cleland, 2004;Doloi, 2007). Design configuration and scope of projects must reassess and readjust to ensure that the objectives are met at the end.…”
Section: Design Complexity and Process Simulationmentioning
confidence: 99%
“…These trade-offs are then analysed using Multi-criteria Decision Modelling (MCDM) technique (Doloi, 2007) to locate the optimal solution among those which meet the target criteria. Details of MCDM techniques can be found in Doloi (2007) and Jaafari et al (2004). As already stated, an appropriate conceptual model to facilitate holistic evaluation and management of project's complexity is not currently available.…”
“…Development of computer-aided process simulation techniques have accelerated in recent years. However, its use for project definition, management practices and life cycle investment decisions is not widespread (Doloi, 2007). The application and influence on setting the benchmarks for management practices within the complex project management framework has proven to be a significant contribution in this research.…”
Section: Process Simulation and Decision Making In Project Lifecyclementioning
confidence: 99%
“…A thorough analysis of these objectives is an important requirement to determine the optimum project selection from the available competing alternatives. Simulation based project evaluation and decision analysis adds significant value in evaluating such alternatives by reducing uncertainties in design, implementation and operations with a greater confidence Doloi, 2007). Use of process simulation technique assists in analysing feasible design solutions based on technical, functional and operational aspects of projects.…”
Section: Objectivesmentioning
confidence: 99%
“…These LCOFs are usually derived based on the Triple Bottom Line (TBL) principles (Doloi, 2007). Fig.2 represents the perspective that Lifecycle Design Management (LCDM) takes, as opposed to the perspective adopted by the traditional design management practices.…”
“…However, good project design is not restricted to detailed design coupled with attention to interrelationships between physical parts and elements. Design must be analysed and evaluated at a deeper level and in relation to the project's operational environments (Cleland, 2004;Doloi, 2007). Design configuration and scope of projects must reassess and readjust to ensure that the objectives are met at the end.…”
Section: Design Complexity and Process Simulationmentioning
confidence: 99%
“…These trade-offs are then analysed using Multi-criteria Decision Modelling (MCDM) technique (Doloi, 2007) to locate the optimal solution among those which meet the target criteria. Details of MCDM techniques can be found in Doloi (2007) and Jaafari et al (2004). As already stated, an appropriate conceptual model to facilitate holistic evaluation and management of project's complexity is not currently available.…”
PurposeThe purpose of the paper is to put forward a research‐based argument on the benefits of simulation approach in managing design at an early stage of a project. Having selected an optimal design configuration, the operational uncertainties can be removed and investment decisions are fully justified over the lifecycle of projects.Design/methodology/approachA simulation‐based methodology embodying balanced scorecard (BSC) for measuring the operational and business performance has been synthesised in the research. Multi‐criteria decision analysis (MCDA) has been employed to evaluate the trade‐offs between feasible design alternatives and to select the optimum design configuration.FindingsThe findings show that the integrated framework developed in this research by integrating simulation technology, BSC and MCDA adds significant contributions in improving the current body of knowledge in the design management practices.Research limitations/implicationsThe framework should further be tested by applying to large engineering projects in order for realising the benefits in the decision‐appraisal process. Access to data in large projects before implementation would be the greatest challenge from a commercial‐in‐confidence perspective.Practical implicationsThe framework will help the practitioner's understanding and management of the design configuration in highly complex modern projects. This will allow the decision makers to manage interdependency of complex processes and select optimal designs upfront. The resulting framework will significantly contribute to reducing scope creeps and cost variations and thereby reducing contractual disputes in projects.Originality/valueThe original design of the integrated framework of this kind for managing design complexity in projects adds significant value in the design management practices. The use of simulation embodying BSC and MCDA adds significant novelty in theoretical advancement of contemporary knowledge in the design management profession.
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