An overview of recent research results and future research avenues using simulation studies in project management

This paper gives an overview of three simulation studies in dynamic project scheduling integrating baseline scheduling with risk analysis and project control. This integration is known in the literature as dynamic scheduling. An integrated project control method is presented using a project control simulation approach that combines the three topics into a single decision support system. The method makes use of Monte Carlo simulations and connects schedule risk analysis (SRA) with earned value management (EVM). A corrective action mechanism is added to the simulation model to measure the efficiency of two alternative project control methods. At the end of the paper, a summary of recent and state-of-the-art results is given, and directions for future research based on a new research study are presented

The Economics Of Bidding In Project Management

This article develops strategic decision tables to be used by management in bidding based on optimal duration costs. In addition, a process is proposed to find the optimal economic duration of the project using crashing techniques, the simplex method of linear programming, and game theory.  Standardized software packages for Decision Support Systems (DSS) are used in facilitating the calculations

Planning R and D projects using GERT

Research and development project planning described and analyzed by GER

ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing

We address the problem of finding realistic geometric corrections to a foreground object such that it appears natural when composited into a background image. To achieve this, we propose a novel Generative Adversarial Network (GAN) architecture that utilizes Spatial Transformer Networks (STNs) as the generator, which we call Spatial Transformer GANs (ST-GANs). ST-GANs seek image realism by operating in the geometric warp parameter space. In particular, we exploit an iterative STN warping scheme and propose a sequential training strategy that achieves better results compared to naive training of a single generator. One of the key advantages of ST-GAN is its applicability to high-resolution images indirectly since the predicted warp parameters are transferable between reference frames. We demonstrate our approach in two applications: (1) visualizing how indoor furniture (e.g. from product images) might be perceived in a room, (2) hallucinating how accessories like glasses would look when matched with real portraits.Comment: Accepted to CVPR 2018 (website & code: https://chenhsuanlin.bitbucket.io/spatial-transformer-GAN/

Intellectual risk management in projects of transportation of large vehicles by the game theory

Показано, що транспортування великогабаритних вантажів є проектом, в якому команда останнього постійно стикається із інтелектуальними ризиками протидії оточуючого середовища у вигляді субпідрядників (шляховиків, електриків, автоінспекції, тощо) виконанню окремих етапів проекту. Управління цими ризиками містить різні форми співпраці із субпідрядниками, – від об’єднання (SCRUM-технології) до конкурентної гри із "супротивником". Запропоновано адаптивну комплексну структуру технології проектної діяльності з перевезення великогабаритного багажу, яка передбачає на початку кожного етапу виявлення форми співпраці із субпідрядником та гнучку технологію роботи із ним.It has been shown that the transport of large-sized cargoes is a project in which the latter team constantly faces the intellectual risks of counteracting the environment in the form of subcontractors (roadmakers, electricians, road inspectors, etc.) for the implementation of individual stages of the project. Managing these risks involves various forms of cooperation with subcontractors, from the merger (SCRUM-technology) to the game with the "opponent". The adaptive complex structure of the project activity on transportation of large-sized luggage is offered, which provides at the beginning of each stage the identification of the form of cooperation with the subcontractor and the flexible technology of work with it. The aim of the work is to reduce the time and cost of implementing large baggage transportation projects by managing the intellectual risks of counteraction from subcontractors of the project through the development and implementation of an adaptive integrated structure of the project activity technology, which foresees, at the beginning of each phase of the project, the identification of the form of cooperation with the next subcontractors and the flexible working technology with them. To achieve this goal, the following tasks were set and solved: analyzed problems of transportation of large-sized cargoes and revealed design features of such activity; Estimated intellectual risks of counteraction to project activity from "subcontractors" of the project; proposed adaptive complex structure of technology project activity, which combines SCRUM technology and game; the industrial tests of the results of the research with a positive technical and economic effect have been carried out. The results of the work were used in the system of support for the adoption of design decisions in the context of intellectual risks "SOLINTR". The system "SOLINTR" was involved in the PEO "ECHO" when planning and equipping the project of transportation of large-sized cargo at a distance of 235 km with a positive technical and economic effect

Aerospace management techniques: Commercial and governmental applications

A guidebook for managers and administrators is presented as a source of useful information on new management methods in business, industry, and government. The major topics discussed include: actual and potential applications of aerospace management techniques to commercial and governmental organizations; aerospace management techniques and their use within the aerospace sector; and the aerospace sector's application of innovative management techniques

Expert Elicitation for Reliable System Design

This paper reviews the role of expert judgement to support reliability assessments within the systems engineering design process. Generic design processes are described to give the context and a discussion is given about the nature of the reliability assessments required in the different systems engineering phases. It is argued that, as far as meeting reliability requirements is concerned, the whole design process is more akin to a statistical control process than to a straightforward statistical problem of assessing an unknown distribution. This leads to features of the expert judgement problem in the design context which are substantially different from those seen, for example, in risk assessment. In particular, the role of experts in problem structuring and in developing failure mitigation options is much more prominent, and there is a need to take into account the reliability potential for future mitigation measures downstream in the system life cycle. An overview is given of the stakeholders typically involved in large scale systems engineering design projects, and this is used to argue the need for methods that expose potential judgemental biases in order to generate analyses that can be said to provide rational consensus about uncertainties. Finally, a number of key points are developed with the aim of moving toward a framework that provides a holistic method for tracking reliability assessment through the design process.Comment: This paper commented in: [arXiv:0708.0285], [arXiv:0708.0287], [arXiv:0708.0288]. Rejoinder in [arXiv:0708.0293]. Published at http://dx.doi.org/10.1214/088342306000000510 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org