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Number of results: 72
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Abstract

Technological development offers a wide range of new possibilities for implementation of production processes. Continual production development is the main key to success and competitiveness improvement, labour productivity and image-building for all manufacturing companies. The article deals with designing of new workplace with implementation and utilization of automated robot for faster and safer handling of cast stock. The new layout of workplace is created in software Process Simulate.
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Abstract

Spare parts are one of the important pillars in the after-sales service of automotive business. Customers will satisfied and comfortable if the availability of spare parts is guaranteed. Spare Part Center is one of function to support unit sales and as well as profit-oriented, so the accuracy and speed of spare part acceptance by the customer is an important key to winning the competition. Order Picking is one of the supply chain processes that play a role in warehouse operations to meet customer needs. Order Picking is the most expensive activity in warehousing and can reach 55% of the total cost of warehousing operations, so it is considered a top priority in increasing productivity, even reaching 65% of total warehouse operating costs. The purpose of this research is to increase productivity in the process of picking order through reduction of processing time. Increased productivity is done by improving the working method of the picking process. From the result the comparing, the method by zone requires less total picking time (193.712 seconds) than by routing (249.559 seconds) decreased 55.85 second time, in other words, an increase of 22.38%. With the Visual Stream Mapping (VSM) in this research can reduce to travel time, it means that the total distance traveled is small than the current method. The impact from VSM approach will eliminate time for preparation of 1.960 seconds, and take empty trolley of 200 seconds. In this case some of traveling non-value
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Abstract

In this article, we review the research state of the bullwhip effect in supply chains with stochastic lead times. We analyze problems arising in a supply chain when lead times are not deterministic. Using real data from a supply chain, we confirm that lead times are stochastic and can be modeled by a sequence of independent identically distributed random variables. This underlines the need to further study supply chains with stochastic lead times and model the behavior of such chains.
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Abstract

This study provides a systematic review of the existing academic literature describing the key components of eMaintenance. The current literature is reviewed by utilizing a number of academic databases including Scopus, SpringerLink and ScienceDirect, and Google Search is used to find relevant academic and peer-reviewed journal articles concerning eMaintenance. The literature describes eMaintenance as an advanced maintenance strategy that takes advantage of the Internet, information and communication technologies, wireless technologies and cloud computing. eMaintenance systems are used to provide real time analyses based on real time data to offer a number of solutions and to define maintenance tasks. The collection and analysis of appropriate maintenance and process data are critical to create robust ‘maintenance intelligence’ and finally improvements in manufacturing costs, safety, environmental impact, and equipment reliability. This paper describes how the scientific discussion on eMaintenance has expanded significantly during the last decade, creating a need for an up-to-date review. As a conclusion, three research gaps in the area of eMaintenance are identified, including evaluating the benefits of eMaintenance, agreeing on a
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Abstract

In the article problems related to human labor and factors affecting the increasing use of industrial robots are discussed. Since human factors affect the production processes stability, robots are preferred to apply. The application of robots is characterized by higher performance and reliability comparing to human labor. The problem is how to determine the real difference in work efficiency between human operator and robot. The aim of the study is to develop a method that allows clearly definition of productivity growth associated with the replacement of human labor by industrial robots. Another aim of the paper is how to model robotized and manual operated workstation in a computer simulation software. Analysis of the productivity and reliability of the hydraulic press workstation operated by the human operator or an industrial robot, are presented. Simulation models have been developed taking into account the availability and reliability of the machine, operator and robot. We apply OEE (Overall Equipment Effectiveness) indicator to present how availability and reliability parameters influence over performance of the workstation, in the longer time. Simplified financial analysis is presented considering different labor costs in EU countries.
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Abstract

An original fuzzy team control model is presented in this article. The model is based on a non-traditional combination of classical and contemporary achievements of management and mathematical theories of fuzzy logic and fuzzy sets. In methodological terms, the article also offers a set of tools for measuring and evaluating both team performance and the effectiveness of the team control system in the organization. Fuzzy tools and techniques for decision-making, studying of hidden effects and joint influences, and quantification of evaluations are employed in this set of tools. The suggested fuzzy model contributes to overcoming theoretical deficits on the issues of team control, and the methodology of team control fills a gap in the toolkit of team management. The results from verification of the fuzzy team control model at a small-sized Bulgarian enterprise are also discussed in this article. They indicate that it is possible to develop a fuzzy model for team control, increasing the effectiveness of the team control system in the enterprise.
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Abstract

Lean manufacturing [LM], quality management system and environmental management system are clear initiatives with a goal of improving effectiveness and efficiencies of organizations. Many organisations tackle lean philosophy, ISO standards individually but this kind of attempt do not focus on the synergy and the advantage from the potential collaboration. This paper aims to present the possibility of integration Lean Management concept with ISO management systems – Quality Management System [QMS] ISO 9001and Environmental Management System [EMS] ISO 14001 already implemented in the enterprises. The integration of these three concepts can be obtain due to improvement of main KPI’s defined in the organization. Based on critical research literature and participant observation presented as a case study (one of the author of the paper works as a consultant and is being implemented Lean Manufacturing concept in different organization since ten years) authors defined concept of integration of EMS and QMS (already implemented in the organization) with chosen Lean Management tools. Concept has been developed based on literature analysis and experience of the authors. Results and summary from concept implementation has been described in last chapter of the paper.
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Abstract

The purpose of the paper is to present the author’s reflections on the origin and popularity of various approaches to maintenance and improvement of production processes, their terminological consistency, understanding, and practical application of their principles. The author’s reflections are based on his observations made over his many years of activity as a lecturer and consultant in the area of production engineering and management. It was shown that there is a need to make scientists and practitioners aware of the relatively large degree of freedom in defining the scope and way of application of strategies of continuous improvement. The author’s proposal is to refer to all approaches to maintenance and improvement of production processes with the title “Strategies of Efficient Action” and all supporting methods as “Practices of Efficient Action”. Considerations presented in the paper can be useful in more and more efficiently applying the power of TQM, Six Sigma, Lean Manufacturing and other strategies of processes maintenance and improvement in the daily activities of companies.
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Abstract

Recent rapid developments in information and network technology have profoundly influenced manufacturing research and its application. However, the product’s functionality and complexity of the manufacturing environments are intensifying, and organizations need to sustain the advantage of huge competitiveness in the markets. Hence, collaborative manufacturing, along with computer-based distributed management, is essential to enable effective decisions and to increase the market. A comprehensive literature review of recent and state-of-the-art papers is vital to draw a framework and to shed light on the future research avenues. In this review paper, the use of technology and management by means of collaborative and cloud manufacturing process and big data in networked manufacturing system have been discussed. A systematic review of research papers is done to draw conclusion and moreover, future research opportunities for collaborative manufacturing system were highlighted and discussed so that manufacturing enterprises can take maximum benefit.
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Abstract

In recent years, due to the growing importance of eco-design and tightening EU regulations entrepreneurs are required to implement activities related to environmental protection. It influences the development of methods and tools enabling the implementation of eco-design into practice, which are increasingly used by modern information technologies. They are based on intelligent solutions that allows them to better match the requirements of designers and allows for the automation of processes, and in some cases they are able to do the work themselves, replacing designers. Details are useful in areas that require calculations, comparisons and making choices, which is the process of eco-design. The paper describes methodology of pro-ecological product design oriented towards recycling, based on agent technology, enables the design of environmentally friendly products including recycling. The description of the methodology was preceded by a literature analysis on the characteristics of tools supporting eco-design and the process of its development was presented. The proposed methodology can be used at the design stage of devices to select the best product in terms of ecology. It is based on the original set of recycling indicators, used to evaluate the recycling of the product, ensure the ability to operate in a distributed design environment, and the use of data from various CAD systems, allows full automation of calculations and updates (without user participation).
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Abstract

The difficulty of innovation risk assessment makes it necessary to use a multi-criteria analysis. Innovative projects are related to unstructured problems and the uncertainty, therefore, the use of fuzzy logic in the innovation risk assessment is analyzed. This paper proposes a method of determining the weights of criteria in order to innovation risk assessment. The weights are determined by 5 general criteria and 14 detailed criteria of innovation risk assessment. The proposed method is an extension of the fuzzy AHP method. The extension consists in taking into consideration the group decision-making approach with experts’ psychological conditions. The groups of experts have been chosen based on an elaborated form. The form makes it possible to characterize the persons within the scope of different psychological conditions. The proposed method provides objective and rational decision-making. The paper presents also a comparison of results with the fuzzy AHP method without the group decision making. The weights obtained by the proposed method are more diversified and bring out the most important criteria.
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Abstract

Performance measurement system in supply chain management (SCM) has been receiving increasing attention by business organizations as a way to evaluate efficiency in supply chain activities. Assessing the performance of supply chain uncovers the gap between planning and actual performance as to trace the potential problems thus ascertain necessary areas for improvement. This research aims to investigate the application of performance measurement system in SCM as well as exploring its relationship with organization’s performance among Malaysian manufacturing firms. By utilizing the questionnaire method, respondents involved were requested to indicate the extent to which they use a number of 24 selected performance measures that are related to SCM. The results show that the majority of the observed manufacturing firms utilize specific performance measurement tools in evaluating the supply chain performance. The current performance measurement techniques, the Balanced Score Card is adopted by around a quarter of the total responding firms followed by Supply Chain Operations References Model – SCOR, which attracts total users of only a fifth of the total respondents. In particular, performance measures under customer service category recorded the highest number of usage followed by cost-based performance measures and operations management. The results of this investigation also unveil few major points that are important to be highlighted. Firstly, the obtained outcomes of this study bring to light the significant relationships between the utilization of supply chain performance measures under customer service, operations management and organizational performance. In addition, this study discovered a significant correlation between the size of the organization and the extent of use of supply chain performance measures and how these two variables positively correlated. Lastly, the findings also suggested that the performance measures for SCM has been playing a crucial role in enhancing the performance of the organizations and is increasingly operated as the firms grow in size. Based on the brief highlighted points listed above, it is not an exaggeration to say that this research contributes new information to the body of knowledge in performance measurement system in SCM and its associations with organizational performance.
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Abstract

Tool travel and tool switch planning are the two major issues in hole-making operations of industrial part which involves drilling, tapping etc. operations. It is necessary to find the sequence of operations, which minimizes the total non productive time and tool switch time of hole-making operations depending upon the hole location and the tool sequence to be followed. In this work, an attempt is made to reduce total non-productive time and tool switch time of hole-making operations by applying a relatively new algorithm known as shuffled frog leaping with modification for the determination of optimal sequence of operations. In order to validate the developed shuffled frog leaping algorithm with modification, it is applied on six different problems of holes and its obtained results are compared with dynamic programming (DP), ant colony algorithm (ACO), and immune based evolutionary approach (IA). In addition, an application example of injection mould is considered in this work to demonstrate the proposed approach. The result obtained by shuffled frog leaping algorithm with modification is compared with those obtained using ACO, particle swarm optimization (PSO) algorithm and IA. It is observed that the results obtained by shuffled frog leaping algorithm with modification are superior to those obtained using ACO, PSO and IA for the application example presented.
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Abstract

The paradox of enterprise management is the company must continually change in a dynamic and difficult-to-predict environment in order to achieve business continuity and profitability goals. The relatively low efficiency and awareness of the need for change at network organizations means the problems connecting with changes implementation, identification of conditions limiting their realizations and importance of final results are still significant. This article described this issue by the diagnosis of current state of the change management in various types of network organizations and showing how this state can be improved in the future. Assuming the organization will strive for conscious and organized change management.
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Abstract

In the article problems related to human labor and factors affecting the increasing use of industrial robots are discussed. Since human factors affect the production processes stability, robots are preferred to apply. The application of robots is characterized by higher performance and reliability comparing to human labor. The problem is how to determine the real difference in work efficiency between human operator and robot. The aim of the study is to develop a method that allows clearly definition of productivity growth associated with the replacement of human labor by industrial robots. Another aim of the paper is how to model robotized and manual operated workstation in a computer simulation software. Analysis of the productivity and reliability of the hydraulic press workstation operated by the human operator or an industrial robot, are presented. Simulation models have been developed taking into account the availability and reliability of the machine, operator and robot. We apply OEE (Overall Equipment Effectiveness) indicator to present how availability and reliability parameters influence over performance of the workstation, in the longer time. Simplified financial analysis is presented considering different labor costs in EU countries.
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Abstract

Six Sigma as the continuation of comprehensive quality management TQM is of interest to many enterprises. Unfortunately, not everybody successfully implements quality improvement projects using Six Sigma tools. This approach requires proper preparation in many areas of the company’s operation, including: organization of processes, establishing measures, employee engagement and creating conditions for continuous improvement. The goal of the article is to present on the case study the idea of using the organizational maturity model for production management to assess a readiness of organization to implement Six Sigma. The case study presents a company maturity level diagnosis and a successful project of quality and productivity improvement using the Six Sigma concept, confirming that the organization’s maturity model is the appropriate tool for assessing multi-faceted preparation for successful implementation of Six Sigma projects.
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Abstract

Lean manufacturing has been the most deliberated concept ever since its introduction. Many organization across the world implemented lean concept and witnessed dramatic improvements in all contemporary performance parameters. Lean manufacturing has been a sort of mirage for the Indian automotive industry. The present research investigated the key lean barriers to lean implementation through literature survey, confirmatory factor analysis, multiple regression, and analytic network process. The general factors to lean implementation were inadequate lean planning, resource constraints, half-hearted commitment from management, and behavioral issues. The most important factor in the context of lean implementation in Indian automotive industry was inadequate lean planning found with the help of confirmatory factor analysis and multiple regression analysis. Further analysis of these extracted factors through analytic network process suggested the key lean barriers in Indian automotive industry, starting from the most important were absence of proper lean implementation methodology, lack of customer focus, absence of proper lean measurement system, inadequate capital, improper selection of lean tools & practices, leadership issues, resistance to change, and poorly defined roles & responsibilities. Though literature identifying various lean barriers are available. The novelty of current research emerges from the identification and subsequent prioritization of key lean barriers within Indian automotive SMEs environment. The research assists in smooth transition from traditional to lean system by identifying key barriers and developing customized framework of lean implementation for Indian automotive SMEs.
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Abstract

In small and medium-sized enterprises (SMEs), the ways of operating are dependent on the specific nature of their business activity, while management methods are often used intuitively. The paper shows that specialization, defined as offering products to companies from one or from two to four industries, is of great importance among SMEs in the gas sector. The analysis of the applied management methods allows us to conclude that the most important ones are those related to human capital.
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Abstract

The purpose of the study is to analyze the opportunities and the challenges associated with the adoption of Information technology in the Indian SMEs. The significant usage of Information Technology in the SME sector and the factors that influence the business are discussed. SME industry in India has shown substantial growth over the past few years. The implementation of new technologies tends to offer better opportunities to the companies particularly for SME sector in India. However, there are a few challenges associated with technology adaptation that needs attention. This research is focused on improved business quality and responsiveness towards market opportunities while using the latest technologies available. This study is based on a review of research journals and articles including news magazines concerning current SME market situation in India. The current market scenario of Indian SMEs, as well as several policy interventions and new trends in the market were discussed.
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Abstract

The main focus of this paper is to propose a method for prioritizing knowledge and technology factor of firms towards sustainable competitive advantage. The data has been gathered and analyzed from two high tech start-ups in which technology and knowledge play major role in company’s success. The analytical hierarchy model (AHP) is used to determine competitive priorities of the firms. Then knowledge and technology part of sense and respond questionnaire is used to calculate the variability coefficient i.e. the uncertainty caused by technology and knowledge factor. The proposed model is tested in terms of two start-ups. Based on the initial calculation of uncertainties, some improvement plan is proposed and the method is applied again to see if the uncertainty of knowledge and technology decreases. In both cases, the proposed model helped to have a clear and precise improvement plan and led in reduction of uncertainty.
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Abstract

The aim of the paper is to present an overview of the theoretical basis and stages of the process of opportunities exploration and exploitation in the development of innovativeness of small and medium-sized enterprises (SMEs) and its preliminary empirical verification on the basis of experience derived from economic practice. The aim of the paper is realized based on the author’s own empirical research carried out in the form of a case study conducted among 5 innovative SME companies in Poland. The results indicate that the analyzed companies associate opportunities directly with entrepreneurship and the development of innovative activity. They take various actions that are part of theoretical principles of effective opportunities exploration and exploitation, which allows them to obtain a number of pro-innovative benefits and which supports the creation of competitive advantage.
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Abstract

This study involves the implementation of an economic order quantity (EOQ) model which is an inventory control method in a ceramic factory. Two different methods were applied for the calculation of EOQs. The first method is to determine EOQ values using a response surface method-based approach (RSM). The second method uses conventional EOQ calculations. To produce a ceramic product, 281 different and additive materials may be used. First, Pareto (ABC) analysis was performed to determine which of the materials have higher priority. Because of this analysis, the value of 21 items among 281 different materials and additives were compared to the ratio of the total product. The ratio was found to be 70.4% so calculations were made for 21 items. Usage value for every single item for the years 2011, 2012, 2013 and 2014, respectively, were obtained from the company records. Eight different demand forecasting methods were applied to find the amount of the demand in EOQ. As a result of forecasting, the EOQ of the items were calculated by establishing a model. Also, EOQ and RSM calculations for the items were made and both calculation results were compared to each other. Considering the obtained results, it is understood that RSM can be used in EOQ calculations rather than the conventional EOQ model. Also, there are big differences between the EOQ values which were implemented by the company and the values calculated. Because of this work, the RSM-based EOQ approach can be used to decide on the EOQ calculations as a way of improving the system performance.
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Abstract

This paper presents the modeling and the resolution of a two dimensional cutting stock problem for a wooden industry. It is about a real problem of minimization of the wood wastes for an industry of furnishing. The raw material to be cut is a set of beams of various sizes. The purpose of the cut is to supply a list of orders characterized by a set of articles of various sizes. The problem is converted into an integer linear program where the decision variables are the numbers of beams to cut according to a set of feasible “patterns”. The designed solution is a heuristic in two stages: – Generation of the feasible patterns by various classic heuristics of the Bin-packing Problem. – Resolution of the integer linear program with the generated patterns as input variables. Moreover, based on this approach, the “Application Cutting Optimization” is developed to allow the immediate resolution of the problem and widening the stock management horizon. To end, a real case is studied to confirm the effectiveness of this approach.
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Abstract

One of the main problem of innovative projects in Russian Federation is the need to assess the impact of exogenous shocks on their financing and development. The impact of this type of shock in the period of globalization is sharply increasing. In order to assess the impact of exogenous shocks on innovative projects we create a model with two stages using the innovate project of production of water purification plants. The first stage of it is the construction of a simple model of financial risk, stipulating the conditions when investors will invest in this firm in the absence of negative shocks, their expectations will depend on their own confidence in continuing investment at the next stages. This model shows a positive result. At the second stage we take into account the impact of the negative exogenous shocks on the project, and try to trace a reaction of companies involved in financing innovative projects. The results of the project were negative. The investor in this case as a rule can stop financing and has the risk of losses. In order to prevent this situation we propose to use a real option for a possible refusal to implement an innovative project in the event that the net present value after one year of financing will be negative or very small. To our opinion it is one of the best ways to reduce financial risks during the implementation of innovative projects for investors.
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Abstract

The purpose of this research is to develop a Lean-RFID based waste identification system (LRWIS) for small-medium manufacturing companies. The specific objective of this research is to develop and implement the LRWIS from integrating the appropriate lean tools and advanced technologies for wastes reduction and inventory management. Subsequently, the framework was converted into a system for a small-medium sized wood processing manufacturer in Malaysia and integrated into a computerized program. The LRWIS can monitor real-time inventory and production status so the manufacturer can optimise the quantity of the primary products and deliver them on time as per the RFID information of each container. The manufacturer can also make decision instantly for controlling and changing different products in the production progress. The system provides simple constructed framework under a low cost infrastructure, yet it is of practical value in reducing the wastes and also optimising the production process.
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