Volume 8, Issue 2

Development of a KPI Subsystem for a Russian Confectionery Company: A Case Study (pp.47-60)

Nadezhda Vaskova, Sergey Kirushin, Alexey Malafeev

The article presents a case study of KPI subsystem development based on the application of methods and tools of lean production in a Russian confectionery factory. We report on an analysis of production problems at the enterprise, as well as proposed solutions and results of their implementation. The lean KPI subsystem resulted in significant improvements in the company. The results of this case study are relevant for business practices in general, as the proposed measures can be used to improve a company’s investment attractiveness. Additionally, the findings are useful for lean managers working in the confectionery industry, as our study illustrates key success factors, as well as the impact and role of lean manufacturing in this industry.


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What are Management Systems? The Effect of Management Style According to System Dynamics (pp.61-69)

Guido Angello Castro-Ríos, Lorena Silvana Reyes-Rubiano, Ángela Lucía Noguera-Hidalgo

Organizational management models involve various perspectives, such as management style, cultural dimensions, business models, organizational models, behavioural models and organizational learning. Each of these perspectives has an effect and thus a bearing on management. Accordingly, it becomes difficult to determine which of these perspectives is the most significant for a management model. For example, management style can be held to be a variable with a major impact on the organization because it affects the definition of organizational objectives while coordinating and controlling resources. Therefore, this study presents a proposal for the characterization of management models and presents in the form of a causal chart what could be considered a matrix framework for an organizational management model. To construct this matrix, possible relationships were established between each of the previously proposed systems considered to constitute organizations.


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Reliability of Dot Peen Marking in Product Traceability (pp.71-76)

Dragan Dragičević, Srdjan Tegeltija, Gordana Ostojić, Stevan Stankovski, Milovan Lazarević

Implementation of product traceability is in interest of every producer because it cuts production cost and provides better security booth for buyers and suppliers. To provide traceability of product parts it is needed to mark each part separately. Dot peen marking is technology where data is printed on product surface by stamping with carbide needle. Research presented in this paper is focused on readability of DataMatrix 2D code made with dot peen marking method. It includes few types of materials and also different parameters of marking (code size and stamping depth).


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Strategic Materials Positioning Matrix: an Application in the Automotive Industry in Southern Brazil (pp.77-89)

Gislaine Gabriele Saueressig, Alaércio de Paris, Jéssica Mariella Bauer, Juliane Luchese, Miguel Afonso Sellitto, José Antonio Valle Antunes Jr

The purpose of this article is to describe the application of the Strategic Materials Positioning Matrix (SMPM) in two families of items (bolts and plastic finishing) purchased by a focal company of the automotive industry in Southern Brazil. SMPM is a tool to manage the reception of materials required from suppliers in a supply chain. The research method was the case study. SMPM classifies materials according to their impact on the results and according to the risk of shortage involved in the supply process. SMPM organizes materials in four classes: non-critical, strategic, risk, and competitive materials. The main results of the analysis were a significant reduction in the number of shortages observed in the assembly line, and the number of storage facility units required for warehousing. The study details the actions that produced such results.


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Simulation Based Productivity Forecast of 1 MW PV Power Plant in the Weather Conditions Typical for Belgrade Region (pp.91-97)

Milovan Medojević, Milana Medojević

Having in mind that energy is being regarded as indispensable to the socioeconomic progress of developing and developed nations, where the main objective implies replacement and reduction of major portion of the fossil fuels utilization, implementation of renewable energy technologies where natural phenomena are transformed into beneficial types of energy are becoming more and more appreciated and needed. Among renewable energy resources we know today, solar energy is the most beneficial, relatively limitless, effective, and dependable. Given the aforementioned this paper provide an overview of 1 MW PV power plant forecast productivity generated by simulation, in the weather conditions typical for the Belgrade city region. The simulation is based on NREL (National Renewable Energy Laboratory) photovoltaic performance model which combines module and inverter sub models with supplementary code to calculate a photovoltaic power system’s hourly AC output given a weather file and data describing the physical char cteristics of the module, inverter, and array. Furthermore, the characteristic losses are calculated and presented for fixed array power plant and illustratively given in the form of Sankey diagram. Lastly, a variety of graphical data representations are available while the most important ones are given in the study.


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