During the adaptive development of an engineering system, the development system senses changes in its environment and reacts to the dynamic market characteristics and creeping stakeholder needs. Thus, it evolves towards maximal stakeholder value. The behaviour of the adaptive development system is modelled in this thesis as a workstate-driven iterative process where collaborative decisions are made on the design and adaptation of technical and economical product aspects at various hierarchy levels of the project. The implementation of adaptiveness in development systems is supported by a novel process modelling method that models and simulates decision-making in adaptive development, and always selects the best activity for the project from a flexible process space. Decision-making on process adaptation in the simulation algorithm is based on the actual project state described by the project budget and effort spent, and the product performance achieved until the actual point in the project. The second systems engineering method in this thesis is a decision-making framework for the control of adaptive SD projects. Both systems engineering methods were validated in industrial environment at TetraPak Carton Ambient in Modena, Italy. The pilot projects showed that the methods are not only applicable in the industry, but they contribute to significant increases in process effectiveness and efficiency.
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During the adaptive development of an engineering system, the development system senses changes in its environment and reacts to the dynamic market characteristics and creeping stakeholder needs. Thus, it evolves towards maximal stakeholder value. The behaviour of the adaptive development system is modelled in this thesis as a workstate-driven iterative process where collaborative decisions are made on the design and adaptation of technical and economical product aspects at various hierarchy lev...
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