scholarly journals System of Marketing Models of Goods

2021 ◽  
Vol 5 (3) ◽  
pp. 6-17
Author(s):  
Olexander Zozul’ov ◽  
◽  
Tetiana Tsarova ◽  
◽  

The aim of the article. The purpose of the study, which is the subject of the article, was the formation of a system of product models, which covered the stage "production - distribution - exchange - consumption", which creates a basis for analysing the competitiveness of goods over time. To achieve this goal, the following tasks were set and solved: a) a comprehensive analysis of existing models in marketing; b) the formation of new models of goods that are not present today in the world scientific literature; c) formation of a system of product models in marketing as a basis for analysis of product competitiveness in the temporal aspect. Analyses results. Traditionally, in the process of analysing the competitiveness of the company in the centre of the analysis is the product as an object of market exchange. The issue of product competitiveness implies the need to determine the key aspects or components that will be subject to comparative analysis, as competitiveness is a relative concept. For a comprehensive analysis of competitiveness it is necessary to take into account the entire cycle of its production and market presence, its life cycle, in particular, within the classical scheme: production - distribution - exchange - consumption. At each of the stages of this scheme, the key are different aspects and characteristics of the product, according to the characteristics of interaction with it, which should be reflected in the marketing models of the product, developed separately for each stage. Within each stage, appropriate models are identified that reflect the specific requirements for the product related to the technical and economic characteristics of the enterprise. The first stage - production - aims to optimize production activities, so the model should reflect the characteristics of the production of goods. In the second stage - distribution - the product must meet the goal of optimizing logistics activities, therefore, the corresponding model reflects the characteristics of the product associated with logistics of sales. The third stage - exchange - is the point of intersection of supply and demand. Within the fourth stage of consumption, the product model should be focused on motivation and consumer behaviour. The presented models are connected into a system that is cross-cutting for the entire life cycle of the product and can serve as a basis for a comprehensive assessment of its competitiveness. Conclusions and directions for further research. The presented product models form an interconnected group, covering the entire economic cycle from the beginning of production to consumption. This approach helps to take into account the nuances of marketing management at each stage and to form a set of marketing measures to strengthen the competitiveness of the enterprise in terms of its product policy. A further area of research may be the development of an algorithm that will form a system of criteria for the competitiveness of goods in accordance with the specific market situation, taking into account the peculiarities of the implementation of stages within a certain market.

Author(s):  
J. ANDREW ARNOLD ◽  
JOHN C. KUNZ

Current methods to develop standard Architecture, Engineering, Construction (AEC) product models focus on the definition of product model semantics without concurrent and formal consideration of the engineering analyses that such models must support, or formal consideration of the requirements for sharing information between applications. We present two case studies that demonstrate a service to extract data from product models and provide inputs to component analysis applications. The service was validated in a proof-of-concept application called the Internet Broker for Engineering Services (IBES) that extracts information for component analysis from product models that are external to the application and accessed across the Internet. IBES was tested for two research cases. The product model for the first case, control valve selection is based on STEP Application Protocol 227. The product model for the second case, control valve diagnosis, specifies additional semantics that support the operations and maintenance (O&M) phase of the facility life cycle. The cases offer evidence that large standard data models can support routine analyses for control valves. However, the amount of shared information between the case applications is small and is largely dependent upon the concurrence of component behaviors that are necessary to model analysis. The IBES reference model and reasoning to support information extraction was consistent for both cases. This consistency suggests that it is possible to define a general set of computational methods that integrate project information models with external component analysis applications across the product life cycle. We argue that enabling a web-based link between product models and applications requires a set of capabilities, including bi-directional communication between separated data and analysis nodes, query generation, data translation, and validation of data extracted from semistandard models. We discuss the tentative implication that minimal shared information calls into question the assumption that large core product models will work effectively in practice.


2018 ◽  
Vol 20 (6) ◽  
pp. 2066-2087 ◽  
Author(s):  
Chen Wang ◽  
Lukasz Kurgan

AbstractDrug–protein interactions (DPIs) underlie the desired therapeutic actions and the adverse side effects of a significant majority of drugs. Computational prediction of DPIs facilitates research in drug discovery, characterization and repurposing. Similarity-based methods that do not require knowledge of protein structures are particularly suitable for druggable genome-wide predictions of DPIs. We review 35 high-impact similarity-based predictors that were published in the past decade. We group them based on three types of similarities and their combinations that they use. We discuss and compare key aspects of these methods including source databases, internal databases and their predictive models. Using our novel benchmark database, we perform comparative empirical analysis of predictive performance of seven types of representative predictors that utilize each type of similarity individually and all possible combinations of similarities. We assess predictive quality at the database-wide DPI level and we are the first to also include evaluation over individual drugs. Our comprehensive analysis shows that predictors that use more similarity types outperform methods that employ fewer similarities, and that the model combining all three types of similarities secures area under the receiver operating characteristic curve of 0.93. We offer a comprehensive analysis of sensitivity of predictive performance to intrinsic and extrinsic characteristics of the considered predictors. We find that predictive performance is sensitive to low levels of similarities between sequences of the drug targets and several extrinsic properties of the input drug structures, drug profiles and drug targets. The benchmark database and a webserver for the seven predictors are freely available at http://biomine.cs.vcu.edu/servers/CONNECTOR/.


Author(s):  
LeRoy E. Taylor ◽  
Mark R. Henderson

Abstract This paper describes the roles of features and abstraction mechanisms in the mechanical design process, mechanical designs, and product models of mechanical designs. It also describes the relationship between functions and features in mechanical design. It is our experience that many research efforts exist in the areas of design and product modeling and, further, that these efforts must be cataloged and compared. To this end, this paper culminates with the presentation of a multi-dimensional abstraction space which provides a unique framework for (a) comparing mechanical engineering design research efforts, (b) relating conceptual objects used in the life cycle of mechanical products, and (c) defining a product modeling space.


2006 ◽  
Vol 128 (02) ◽  
pp. 25-26
Author(s):  
Eugene Kania

This article discusses key aspects of resource management for the successful completion of a project. The article highlights that decision-making is the difficult, but necessary, last step to arrive at a portfolio of projects that do not overload resources and clog the engineering pipeline. The four-step resource management process that a company has implemented helps management visualize and understand the effects of their project decisions. It also helps engineering managers identify resource shortages. The key to implementing this system is to build solid communication processes, get key organizational participation, and have the discipline to keep at it every month. The article also suggests that if a company is to use a software tool to facilitate and enable the process, keep it as simple and effective as the process itself.


2016 ◽  
Vol 14 (1) ◽  
pp. 44-50 ◽  
Author(s):  
Oleg Olefirenko

The efficient sales policy of the machine building innovatively active enterprises is connected with its rational process financing. Optimal determination of innovative production distribution expenses is top-priority element to increase economic subject’s activity profitability and to increase its competitive positions at the market. Thus, planning of costs for innovatively active machine building enterprises sales has to be based on economic and rationally adaptive mathematic tools to industrial enterprises activity specific. Practical implementation of the mentioned task is possible owing to economic and mathematic model to plan costs for innovatively active enterprises production, which preconditions urgency of the given research. Besides the tools investigation is also urgent and it allows to foresee future expenses amounts for sales, demand for production and profit of the innovatively active industrial enterprise, behavior in future depending on market situation. The article deals with scientific and methodic approach to optimize distribution expenses of the innovatively active industrial enterprises in Ukraine. Economic and mathematic modeling methods allowed to formalize models to plan distribution expenses of innovatively active enterprise, demand and profits, that is prerequisite to form prognostications by proper directions. Practical implementation of the suggested scientific and methodic approach on the example of machine building enterprise in Ukraine results in confirmation of models correspondence and establishment of inefficiency to distinguish expenses. It gives evidence about necessity to optimize expenses of enterprise and to introduce active managerial decisions concerning its activity profitability growth


Author(s):  
Matthew D. Bauer ◽  
Zahed Siddique ◽  
David W. Rosen

Abstract Design for the life cycle practices enable the improvement of a product’s recycling, disassembly, and service characteristics, to name a few. In this paper, an approach to virtual prototyping is presented that supports product Design For Assembly, Disassembly, and Service (DFADS). The VP-DFADS system enables a designer to construct a product model, to interactively simulate an assembly, disassembly, or service process for that product, and to formulate and solve a simultaneous product/process design problem. Specific research objectives underlying this project include a reduction in VP model construction times, an improvement in information with which designers make DFADS decisions, and the development of a design synthesis method for DFADS. Although automated reasoning and synthesis technologies are outlined, the emphasis in this paper is on the integration of these technologies into the VP-DFADS system and on the usage of the system in supporting DFADS decisions. An application of the VP-DFADS system to automotive center console design illustrates the potential usefulness of the VP-DFADS approach.


Author(s):  
Anastasiya G. Bobrova ◽  

The article presents an analysis of the development indicators of the districts with a tight labor market situation in the Republic of Belarus. It considers the vacancies and resumes in these districts placed in the All-Republican bank of vacancies, Praca. by and rabota.by portals. The main mismatches between supply and demand at the labor market as one of the obstacles to socioeconomic development in the regions have been revealed.


Author(s):  
Fei Gao ◽  
Dieter Roller

Abstract Capturing design process is becoming an important topic of feature-based modeling, as well as in product data exchange, concurrent design, and cooperative design. Three critical issues on the modeling of design process are considered in this paper, namely, feature concepts, feature evolution, and the semantic consistencies of the states of product models. A semantics-based product model is introduced to facilitate the description of both conceptual and detailed models, and to maintain the semantic consistencies of product states. The process is represented by feature states and their evolution records. Feature type variation and prototype-based design are proposed to support feature evolution. A conceptual description of the design process and an example are given.


This chapter reviews the following key aspects of platform research: platform strategy, dynamic capabilities, and business models. The main platform typologies and basic definitions are described first. It provides a brief summary of the literature relating to arguing platform strategy, platform life cycle, platform building blocks, and business models. A platform strategy categorization taxonomy and platform practical strategies of preventing platform disintermediation are developed. The main types of platform business models are introduced. The multi-sided platform business model pattern (MSP BMP) is designed. MSP BMP is used as a basic conceptual framework and knowledge management tool for describing, analyzing, and interpreting non-price instruments used by digital platforms, especially platform intermediaries.


2014 ◽  
Vol 5 ◽  
pp. 55-62 ◽  
Author(s):  
Krishna Bahadur Bhujel

This paper analyzes the present market scenario of the bio-briquette in the Kathmandu valley. The bio-briquette has been emerged as alternative biomass energy in the Nepal from one decade. But it does not scale up as per targets due to the lack of the awareness, technologies transfer and markets. There are opportunities to establish and replace fossil fuel through using wastage vegetations as well as economic empowerment of local people. It has found that the market situation of the bio-briquette is initial stage. Now, the supply and demand condition is increased trends and it is available in super market, department store and other outlets in the Kathmandu valley. It uses especially in the cooking, heating for children/older, house and office purposes. It is high potential to establish as alternative biomass energy in Nepal through promoting the sustainable markets. DOI: http://dx.doi.org/10.3126/init.v5i0.10254   The Initiation 2013 Vol.5; 55-62


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