Supply chain efficiency analysis in innovative company based on MCC-3C methodology
The expansion of three-circuit Matrix of Core Competencies (MCC-3C) methodology aimed at improving supply chain (SC) efficiency in an innovative company is examined. It is demonstrated that analysis of production and development factor groups as part of the MCC-3C model, when analysing the supply chain structure, makes it possible to distinguish the criteria for decision-making on allocation and optimising the utilisation of competencies involved in the company’s activities. Approaches for determining the applicability limits of qualitative theories and formation of quantitative assessments are proposed that allow justifying the structure of internal SC and positioning in external ones. An example of the MCC-3C methodology application in the SC design of an international company producing final hi-tech products is provided.
The first volume involves the Russian Federation as a common denominator with either Norway (oldest multilateral region in the Arctic) or the United States (sharing with Russia the longest maritime boundary in the world) to interpret changes with connected biophysical and socio-economic systems that underscore decisions across a “continuum of urgencies” from security to sustainability time scales. The second and third volumes will emerge from presentations during the annual Arctic Frontiers Conferences in Tromsø, Norway, starting in January 2020. Volume 2 will consider circumstances associated with areas beyond sovereign jurisdictions from Arctic and non-Arctic perspectives, recognizing the international community has unambiguous rights and responsibilities in the Arctic High Seas under the law of the sea. Volume 3 is intended to synthesize insights on a pan-Arctic scale, analogous to the world ocean across all sea zones, involving decisions to achieve ongoing progress with sustainability, coupling governance mechanisms and built infrastructure. Throughout this book series, which we expect to expand beyond the Arctic, science diplomacy will be applied as an international, interdisciplinary, and inclusive (holistic) process, facilitating informed decisionmaking to balance national interests and common interests for the benefit of all on Earth across generations. With holistic integration, this book series will reveal skills, methods, and theory of informed decisionmaking that will continue to evolve, contributing to balance, resilience, and stability that underlie progress with sustainability across our home planet.
This abstract offers a method for ranking alternatives in a decison making problem. It determines importance of the criteria with help of factor analysis. Though the alternatives are evaluated by each of the criteria by a group of experts, the weights for the criteria are to be found with the help of factor analysis.
The algorithm of the method is as follows:
1. Under the constraint that the problem handles several evaluation criteria, several items to compare (alternatives) and several experts to give their evaluation.
2. Find the principal components that replace the input criteria implicitly.
3. To find the final mark for each of the alternatives the marks given by experts are multiplied with the regression coefficients, found in the step 2.
4. The final marks are represented in axes „crieria“ and „mark“ so that each alternative is described with a curve (trajectory). These curves represent the map of graded alternatives. Depending on the problem to be solved (min or max,) a record for each main criteria is to be found.
5. With help of special deviation measure procedures (Minkowski, Chebyshev e.t.s) a matrix of deviations from ideal solution is to be built.
6. The alternatives are to be rated in accordance to the deviation from the ideal trajectory.
To prove the effectiveness of the method it was applied to a problem for 5 alternatives, 3 experts and 38 evaluation criteria. The problem was also solved with the help of most popular method of Weighted Sum Model (WSM) and TOPSIS method. The problem was also being solved by finding the geometric mean for each alternative. The results for approaches were compared and the method, offered in this abstrat, proved itself as a feasible one.
The paper presents the results of empirical research enterpreniur decision making process. The features of modern Russian entrepreneurship, decision-making process, psychological characteristics required for different types of decision-making in organizations is identified.
Soft Computing (SC) is a consortium of fuzzy logic (FL), neurocomputing (NC), evolutionary computing (EC), probabilistic computing (PC), chaotic computing (CC) and parts of machine learning theory (ML). SC is the foundation for computational intelligence and is leading to the development of numerous hybrid intelligent information, control and decision-making systems. The methodology of computing with words (CW) is an important event in the evolution of cognitive science, natural language processing, artificial intelligence, and different existing scientific theories. This is because CW can enrich the existing scientific theories and the above-mentioned science fields giving them the capability of using natural languages to operate on perception-based information, not only measurement-based information. Indeed in many real-world problems in natural sciences as well as in industrial engineering, economics, and business, often there is a need to deal with both perception and measurement based information. In the case of perception based information, the available information is not precise enough to justify the use of numbers. Such information is usually described in natural languages rather than in strict (idealized) mathematical expressions. So a strong need has appeared for a new approach, theory and technology for the development of knowledge representation, computing, and reasoning tools that allow creation of systems with high MIQ. The sessions of the ICSCCW-2011 will focus on the development and application of Soft Computing technology and computing with words paradigm in system analysis, decision and control.
This article reviews the modern approaches to the analysis of conflict situations in a supply chain. Four main areas of conflict analysis are identified and discussed in the paper: mathematical methods, hierarchical analysis, total cost modeling business processes.
According to various estimates global GDP is about 60-70 trillion dollars, at the same time the costs of logistics in the world accounts for 12 trillion dollars per year. These figures are comparable to costs associated with armaments, public health service and other important areas of human activity.
Consequently, the search of practical ways and development of effective mechanisms for reducing logistics costs is a major problem, the solving of which will improve efficiency and competitiveness of enterprises. Thus, the purpose of this paper is the development of methods and models for EOQ calculation in supply chains as well as development of matrix of decision-making for the design of new modified EOQ models, designed to optimize logistics costs of companies in supply chains.