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The purpose of this chapter is to develop the algorithm of the strategy of implementing the information economy’s optimization model in modern Russia.

The method of systemic, problem, and logical analysis, synthesis, and the method of compilation of block schemes are used.

The algorithm of the strategy of implementing the information economy’s optimization model in modern Russia is presented. It has a cyclic characteristic and is variable, successfully adapting the conceptual model of a well-balanced information economy to the practical peculiarities of the social system of modern Russia and ensuring flexibility of the developed strategy of its application in the Russian economic practice. The offered algorithm of the strategy of implementing the information economy’s optimization model in modern Russia is a logical continuation of the developed strategy, supplementing its scientific and theoretical significance with the possibilities and perspectives of successful practical application. The offered algorithm shows clarity and simplicity of the general internal structure of the process of implementing this strategy with a simultaneous high complexity of specific measures.

The developed algorithm explains the logic of successful realization of the strategy of implementing the optimization model of a well-balanced information economy in modern Russia and is recommended for usage as a practical guide for implementing this strategy.

This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.

The purpose of this chapter is to develop criteria of effectiveness of state management of the process of implementing the information economy’s optimization model, determine the corresponding indicators, and offer the method of evaluation of the effectiveness of state management of the process of implementing the information economy’s optimization model.

This research applies the methods of induction, deduction, structural and functional analysis, and graphical presentation of information.

Based on the peculiarities of the information economy’s optimization model, three main criteria of the effectiveness of state management while implementing this model are distinguished: flexibility of the normative and legal provision of information economy; balance of the level and rate of development of the noosphere components; and success of the protection, usage, and preservation of information’s uniqueness. To distinguish these criteria it is offered to evaluate the effectiveness of state management of the process of implementation of the information economy’s optimization model by progressive comparison of the sum of results with the sum of limitations and costs for each direction of state management of the process of implementation of the information economy’s optimization model, related to the provision of observation of the above criteria. The author determines the indicators that conform to the offered criteria of effectiveness of state management of the process of implementation of the information economy’s optimization model systematized in connection to these criteria, and offers the formula for calculating the final indicator of the effectiveness of state management of the process of implementation of the information economy’s optimization model.

The offered criteria of effectiveness of state management of the process of implementing the information economy’s optimization model, the corresponding indicators, and the compiled methodology of evaluating the effectiveness of this process are recommended for usage as methodological provision of monitoring and control of implementation of the information economy’s optimization model.

This paper gives a bibliographical review of the finite element and boundary element parallel processing techniques from the theoretical and application points of view. Topics include: theory – domain decomposition/partitioning, load balancing, parallel solvers/algorithms, parallel mesh generation, adaptive methods, and visualization/graphics; applications – structural mechanics problems, dynamic problems, material/geometrical non‐linear problems, contact problems, fracture mechanics, field problems, coupled problems, sensitivity and optimization, and other problems; hardware and software environments – hardware environments, programming techniques, and software development and presentations. The bibliography at the end of this paper contains 850 references to papers, conference proceedings and theses/dissertations dealing with presented subjects that were published between 1996 and 2002.

The purpose of this paper is to propose an integrated approach to process integration, automation, and optimization through enhanced business process models.

The approach is based on a framework of process integration for functional applications, automation for business workflows, and additional functionalities for process optimization. The proposed approach is illustrated using enhanced process models over business integration, automation, and optimization with data elements, structures, and organizational elements. The standard sales order process cycle, quotation approval process, and production order cycle are chosen for illustrating process integration, automation, and optimization, respectively.

The proposed approach combines applications and workflows using integrated process/data models and forms a foundation for business process optimization. It is shown that the integrated approach can improve existing business processes in enterprise resource planning (ERP), beyond business process re‐engineering (BPR) principles, once enhanced business process models are implemented. This approach eliminates need for a hierarchical representation of business processes and highlights the flexibility and visibility of business process implementation in ERP system environment.

Although process integration, automation, and optimization are illustrated using selected business process examples, it requires generalization of these enhancements over entire business blueprint of ERP system. Thus, one key limitation of this research is that it is not generalized for the entire business blueprint of ERP. This also requires changes to data structures beyond current relational data in many ERP systems.

This research provides an integrated approach to business process modeling beyond traditional functional and workflow applications by eliminating hierarchical nature of process and data elements.

Presents a review on implementing finite element methods on supercomputers, workstations and PCs and gives main trends in hardware and software developments. An appendix included at the end of the paper presents a bibliography on the subjects retrospectively to 1985 and approximately 1,100 references are listed.

The purpose of this chapter is to develop practical recommendations for monitoring and controlling the implementation of the optimization model of digital economy in modern Russia.

The authors use the methods of induction, deduction, synthesis, systemic and problem analysis, and formalization.

The authors develop and present recommendations for the establishment of planned values of the indicators that characterize digital economy in Russia until 2025, according to the treatment of factual values of these indicators, and for the correction of measures for regulating the process of digital economy’s formation depending on the values of these indicators. The practical recommendations offered for monitoring and controlling the implementation of the optimization model of digital economy allow creating a comprehensive and detailed national strategy and implementing it in the economic practice of modern Russia. The algorithm presented for this monitoring reflects a general logic involved in this process and opens possibilities for the manifestation of its flexibility and adaptation to each specific situation.

The developed algorithm of monitoring and control regarding the implementation of the optimization model of digital economy in modern Russia and the offered planned values of the indicators that characterize digital economy in Russia until 2025 are recommended for usage during development and implementation of the national strategy for digital economy’s formation in the Russian economic system.

Optimization of energy planning for growth and sustainable development has become very important in the context of climate change mitigation imperatives in developing countries. Existing models do not capture developing country realities adequately. The purpose of this paper is to conceptualizes a framework for energy strategy optimization of the Indian energy sector, which can be applied in all emerging economies.

Hierarchical multi‐objective policy optimization methodology adopts a policy‐centric approach and groups the energy strategies into multi‐level portfolios based on convergence of objectives appropriate to each level. This arrangement facilitates application of the optimality principle of dynamic programming. Synchronised optimization of strategies with respect to the common objectives at each level results in optimal policy portfolios.

The reductionist policy‐centric approach to complex energy economy modelling, facilitated by the dynamic programming methodology, is most suitable for policy optimization in the context of a developing country. Barriers to project implementation and cost risks are critical features of developing countries which are captured in the framework in the form of a comprehensive risk barrier index. Genetic algorithms are suitable for optimization of the first level objectives, while the efficiency approach, using restricted weight stochastic data envelopment analysis, is appropriate for higher levels of the objective hierarchy.

The methodology has been designed for application to the energy sector planning for India's 12th Five Year Plan for which the objectives of faster growth, better inclusion, energy security and sustainability have been identified. The conceptual framework combines, within the policy domain, the bottom‐up and top‐down processes to form a hybrid modelling approach yielding optimal outcomes, transparent and convincing to the policy makers. The research findings have substantial implications for transition management to a sustainable energy framework.

The methodology is general in nature and can be employed in all sectors of the economy. It is especially suited to policy design in developing countries with the ground realities factored into the model as project barriers. It offers modularity and flexibility in implementation and can accommodate all the key strategies from diverse sectors along with multiple objectives in the policy optimization process. It enables adoption of an evidence‐based and transparent approach to policy making. The research findings have substantial value for transition management to a sustainable energy framework in developing countries.

The purpose of this chapter is to develop the indicators that are necessary for monitoring and controlling the efficiency of the process of implementation of information economy’s optimization model. For this, the authors used general scientific research methods – systemic, problem, structural, and functional analysis to determine the key components of balancing, along with a specific method of economics – the balance method – for determining the method of balancing of indicators.

On the basis of the complex analysis performed with the application of the above methods, the authors determined the main indicators of efficiency of the process of implementation of information economy’s optimization model essential for its successful monitoring and control. These indicators are systematized in connection to the noosphere levels and are presented in this work. The offered indicators of efficiency of the process of implementation of the information economy’s optimization model are recommended for systemic national and international monitoring and control during model implementation. The indicators for the current year, in comparison with the dynamics of previous years, could be used. The balance coefficients pose the largest value and provide the highest level of information as they reflect the results of analysis of intermediary indicators and offer information in the form that is ready for regulators. The offered indicators have to supplement the indicators used for evaluating the efficiency of economy’s formation according to the its old model.

The indicators offered in this chapter focus on the balance model of information economy, however to compile a complete picture on the progress of its formation requires consideration of the values of the indicators used within the old model.

The purpose of this paper is cost optimization of project schedules under constrained resources and alternative production processes (APPs).

The model contains a cost objective function, generalized precedence relationship constraints, activity duration and start time constraints, lag/lead time constraints, execution mode (EM) constraints, project duration constraints, working time unit assignment constraints and resource constraints. The mixed-integer nonlinear programming (MINLP) superstructure of discrete solutions covers time–cost–resource options related to various EMs for project activities as well as variants for production process implementation.

The proposed model provides the exact optimal output data for project management, such as network diagrams, Gantt charts, histograms and S-curves. In contrast to classic scheduling approaches, here the optimal project structure is obtained as a model-endogenous decision. The project planner is thus enabled to achieve optimization of the production process simultaneously with resource-constrained scheduling of activities in discrete time units and at a minimum total cost.

A set of application examples are addressed on an actual construction project to display the advantages of proposed model.

The unique value this paper contributes to the body of knowledge reflects through the proposed MINLP model, which is capable of performing the exact cost optimization of production process (where presence and number of activities including their mutual relations are dealt as feasible alternatives, meaning not as fixed parameters) simultaneously with the associated resource-constrained project scheduling, whereby that is achieved within a uniform procedure.