872 resultados para Blades Manufacturing
Resumo:
The usual objectives that companies have for subcontracting are studied in this thesis. The case company’s objectives for contract manufacturing now and in the future are identified. The main objective of the thesis is to create a focused model for the structure and supply chain management in the contract manufacturing network. This model is made for case company’s certain profit center. The different possibilities and their advantages and disadvantages for the structure and supply chain management are examined trough a theoretical review of literature. The possibilities found are then examined from the case company’s point of view. The case company point of view is established based on the opinions of the case company’s representatives. The outcome of the thesis is that the star shaped structure with supply chain management centralized to case company would be the best choice for the case company to manage the contract manufacture network.
Resumo:
Our first objective is to compare the degree of concentration in manufacturing and services, with special emphasis on its evolution in these two sectors, using a sensitivity analysis for different concentration indices and different geographic units of analysis: municipalities and local labour systems of Catalonia in 1991 and 2001. Most concentration measures fail to consider the space in which a particular municipality is located. Our second objective is to overcome this problem by applying two different techniques: by using a clustering measure, and by analysing whether the location quotients computed for each municipality and sector present some kind of spatial autocorrelation process. We take special account of the differences in patterns of concentration according to the technological level of the sectors.
Resumo:
In this paper we propose a latent variable model, in the spirit of Israilevich and Kuttner (1993), to measure regional manufacturing production. To test the validity of the proposed methodology, we have applied it for those Spanish regions that have a direct quantitative index. The results demonstrate the accuracy of the methodology proposed and show that it can overcome some of the difficulties of the indirect method applied by the INE, the Spanish National Institute of Statistics.
Resumo:
Available empirical evidence regarding the degree of symmetry between European economies in the context of Monetary Unification is not conclusive. This paper offers new empirical evidence concerning this issue related to the manufacturing sector. Instead of using a static approach as most empirical studies do, we analyse the dynamic evolution of shock symmetry using a state-space model. The results show a clear reduction of asymmetries in terms of demand shocks between 1975 and 1996, with an increase in terms of supply shocks at the end of the period.
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Traditionally, researchers have considered the innovation process as being gender neutral. However, recently some studies have begun to take gender diversity into account as a determinant of firms’ innovation. This paper aims to analyse how the effect of gender diversity on innovation output at firm level is sensitive to team size. Using the Spanish PITEC (Panel de Innovación Tecnológica) from 2007 to 2012 for innovative manufacturing and service firms, we estimate a multivariate probit model to analyse how gender diversity both in R&D teams and in the total workforce affect product, process, marketing and organizational innovations. Our results show that gender-diverse teams increase the probability of innovating, and this capacity is positively related team size. Gender diversity, in both the R&D department and the total workforce, has a larger positive impact on the probability of carrying out product and organizational innovations in larger teams than it does in smaller teams. This effect is less clear-cut in the case of marketing and process innovation, where the impact is only significant for micro and small firms. Finally, size effects are of greater importance when we distinguish between the manufacturing and service sectors. JEL Code: O30, O31, J16
Resumo:
In recent times of global turmoil, the need for uncertainty management has become ever momentous. The need for enhanced foresight especially concerns capital-intensive industries, which need to commit their resources and assets with long-term planning horizons. Scenario planning has been acknowledged to have many virtues - and limitations - concerning the mapping of the future and illustrating the alternative development paths. The present study has been initiated to address both the need of improved foresight in two capital-intensive industries, i.e. the paper and steel industries and the imperfections in the current scenario practice. The research problem has been approached by engendering a problem-solving vehicle, which combines, e.g. elements of generic scenario process, face-to-face group support methods, deductive scenario reasoning and causal mapping into a fully integrated scenario process. The process, called the SAGES scenario framework, has been empirically tested by creating alternative futures for two capital-intensive industries, i.e. the paper and steel industries. Three scenarios for each industry have been engendered together with the identification of the key megatrends, the most important foreign investment determinants, key future drivers and leading indicators for the materialisation of the scenarios. The empirical results revealed a two-fold outlook for the paper industry, while the steel industry future was seen as much more positive. The research found support for utilising group support systems in scenario and strategic planning context with some limitations. Key perceived benefits include high time-efficiency, productivity and lower resource-intensiveness. Group support also seems to enhance participant satisfaction, encourage innovative thinking and provide the users with personalised qualitative scenarios.
Resumo:
The objective of this thesis is to examine the factors that have an impact on the location decision of new manufacturing site and to create the relative order of importance of these factors by analytic hierarchy process (AHP). The decision making process especially related to the location selection and the measurement of the location factors are also examined. In theoretical part the character of decision making process and the relevant methods are introduced. Based on the previous studies of other researchers, the location factors are examined and the main research method, analytic hierarchy process, is also introduced. The empirical part of the study mainly follows the phases of decision making process and is emphasized on the main stages of analytic hierarchy process; building the hierarchy, defining the priorities and analyzing the results. The hierarchy is constructed from seven main criteria which all have several sub criteria. The evaluation of the hierarchy is implemented at the group decision making –laboratory and there can be seen significant differences between the importance of criteria. The final stage in the study is to create the appropriate measurement scales to the chosen criteria.
Resumo:
In this thesis, the purpose was to find the cost distribution of the screen dryer and the largest cost factors. The hot section of the screen dryer was revealed as the biggest cost factor, so composing new cost efficient solutions were directed to it. DFMA (Design for Manufacture and Assembly) was chosen to help the design process. DFMA is a product design strategy developed for taking manufacturing and assembly costs into account at the early stages of the design process. In the theory part of the thesis, other methods of economical design and tools needed for estimating manufacturing costs are introduced. In the empirical part, the hot section of the screen dryer was divided into sub-assemblies and their manufacturing costs were estimated. The design propositions were directed to the self-manufactured assemblies and parts. The new manufacturing costs were calculated for the developed propositions. Lastly, the most cost efficient solutions were summarized. The savings on the self-manufactured assemblies were about 40 %, which was about 13 % of the combined total costs of the hot section.
Resumo:
Larox Corporation is a provider of full service filtration in solid and liquid separation. Larox develops, designs, manufactures and supplies industrial filters. By Larox’s continuous development principle, a project for more efficient production was started. At the same time production planning was taken under review. Aim for this Master’s thesis was to find software designed for production planning purposes replacement for old Microsoft Excel based method. In this Master’s thesis current way of production planning was thoroughly analyzed and improvement targets were specified and also requirements for new software were assigned. Primary requirements for new software were possibility to production scheduling, planning, follow-up and also for long-time capacity planning and tracking. Also one demand was that new software should have data link to Larox’s current ERP-system. Result of this Master’s thesis was to start using Larox’s ERP-system also for production planning purposes. New mode of operation fulfils all requirements which were placed to new system. By using new method of production planning, production planners can get more easier and reliable data than from current system.
Resumo:
This Master’s thesis addresses different approaches using which a foreign IT company could enter Russian manufacturing industry with its enterprise information systems and IT services. In order to define the most suitable market entry approach, several aspects related to Russian manufacturing enterprises are studied. These aspects include challenges of doing ICT business with the previously mentioned enterprises, their perception of ICT role and their ICT preferences, as well as their buying behavior related to acquisition of information systems (IS). The study results show that there are several challenges that can be faced by a foreign IT vendor when starting conducting ICT business with Russian manufacturing enterprises. The results also show that Russian manufacturing industry is still rather immature in sense of business process automation, and its IT buying behavior is rather specific and complicated. The results suggest that an efficient way to approach these enterprises is through a network of trusted partners that consists of reliable Russian IS integrators and business consultants having established connections to Russian manufacturing companies and possessing the needed competence.
Resumo:
The main objective of this study is to examine the relationships between resources, competitive advantage and firm success. The study focuses, on one hand, on the financial performance of service-intensive manufac-turing firms against competitors with a lower service intensity and, on the other hand, on the resources as drivers for competitive advantage and success. The purpose of the theoretical part is to link the study in the field of the strategy research. The empirical part of the study is based on the quantitative analyses of the survey data collected from 50 major suppliers of industrial machinery and transportation equipment in Europe and North America. Results indicate that service-intensive manufacturing firms have performed better and their performance has been more stable vis-à-vis their peers. The main resources that differentiate service-intensive manufacturing firms from their non-service intensive competitors are service strategy and service-oriented top management. The analyses on the VRIO resources produced only a limited amount of information and solely service-centred culture appeared to be a rent generating resource.
Researching Manufacturing Planning and Control system and Master Scheduling in a manufacturing firm.
Resumo:
The objective of this thesis is to research Manufacturing Planning and Control (MPC) system and Master Scheduling (MS) in a manufacturing firm. The study is conducted at Ensto Finland Corporation, which operates on a field of electrical systems and supplies. The paper consists of theoretical and empirical parts. The empirical part is based on weekly operating at Ensto and includes inter-firm material analysis, learning and meetings. Master Scheduling is an important module of an MPC system, since it is beneficial on transforming strategic production plans based on demand forecasting into operational schedules. Furthermore, capacity planning tools can remarkably contribute to production planning: by Rough-Cut Capacity Planning (RCCP) tool, a MS plan can be critically analyzed in terms of available key resources in real manufacturing environment. Currently, there are remarkable inefficiencies when it comes to Ensto’s practices: the system is not able to take into consideration seasonal demand and react on market changes on time; This can cause significant lost sales. However, these inefficiencies could be eliminated through the appropriate utilization of MS and RCCP tools. To utilize MS and RCCP tools in Ensto’s production environment, further testing in real production environment is required. Moreover, data accuracy, appropriate commitment to adapting and learning the new tools, and continuous developing of functions closely related to MS, such as sales forecasting, need to be ensured.
Resumo:
This thesis studies the use of heuristic algorithms in a number of combinatorial problems that occur in various resource constrained environments. Such problems occur, for example, in manufacturing, where a restricted number of resources (tools, machines, feeder slots) are needed to perform some operations. Many of these problems turn out to be computationally intractable, and heuristic algorithms are used to provide efficient, yet sub-optimal solutions. The main goal of the present study is to build upon existing methods to create new heuristics that provide improved solutions for some of these problems. All of these problems occur in practice, and one of the motivations of our study was the request for improvements from industrial sources. We approach three different resource constrained problems. The first is the tool switching and loading problem, and occurs especially in the assembly of printed circuit boards. This problem has to be solved when an efficient, yet small primary storage is used to access resources (tools) from a less efficient (but unlimited) secondary storage area. We study various forms of the problem and provide improved heuristics for its solution. Second, the nozzle assignment problem is concerned with selecting a suitable set of vacuum nozzles for the arms of a robotic assembly machine. It turns out that this is a specialized formulation of the MINMAX resource allocation formulation of the apportionment problem and it can be solved efficiently and optimally. We construct an exact algorithm specialized for the nozzle selection and provide a proof of its optimality. Third, the problem of feeder assignment and component tape construction occurs when electronic components are inserted and certain component types cause tape movement delays that can significantly impact the efficiency of printed circuit board assembly. Here, careful selection of component slots in the feeder improves the tape movement speed. We provide a formal proof that this problem is of the same complexity as the turnpike problem (a well studied geometric optimization problem), and provide a heuristic algorithm for this problem.
Resumo:
Diplomityön tarkoituksena oli tutkia hybridikomposiittien soveltuvuutta tuulivoimalan osien tai osakokonaisuuksien rakennemateriaaliksi. Lähtökohtana oli selvittää erityisesti luonnonkuitukomposiitin materiaaliteknisten ominaisuuksien, etenkin lujuusominaisuuksi-en soveltuminen tuulivoiman rakenteisiin. Työn johdanto-osuudessa esitellään tuulivoiman rooli tämän päivän energiantuotannossa, yksittäisen tuulivoimalalaitoksen rakenne, rakenteiden suunnittelussa huomioitavat seikat, voimalan eri osien kuten tornin, lapojen ja nasellin yleisimmät valmistusmenetelmät, sekä muovien ja eri lujitteiden ohella puumuovikomposiitin materiaaliominaisuudet, valmistus-menetelmät ja yleisimmät käyttökohteet. Hybridikomposiittien lujuusominaisuuksia tutkittiin Lappeenrannan teknillisen yliopiston puutekniikan laboratoriossa suoritetuissa mittauksissa. Saatuja tuloksia verrattiin referens-situlosten ohella myös tällä hetkellä tuulivoimalan rakenteissa yleisesti käytettävien lasi- ja hiilikuidun, sekä teräksen ominaisuuksiin. Mittaustulosten perusteella bambu- ja lasikuitu-lujitteiset puumuovikomposiitit soveltuvat parhaiten tuulivoimalarakenteisiin, mutta niiden valmistaminen ekstruusiomenetelmällä on melko haasteellista.
Resumo:
ABSTRACT Soy harvest matches seasons with shortage of dry matter supply for ruminant feeding in most Brazilian soy-growing areas. Agricultural machinery-producing companies must have market perception, observing new opportunities and developing equipment to meet costumers’ needs. This paper aims to design, build, and test a device to collect soybean crop residues from the combine cleaning mechanism, consisting mainly of vegetable straw (chaff), and the other plant parts (stems) remain being deposited onto the ground. For equipment designing, we made use of the architectural design methodology proposed in the reference model for the agricultural machinery development process. The equipment was designed and built following the proposed methodology, then installed and put into operation in a John Deere 1165 combine. After initial testing and few adjustments, the device showed satisfactory chaff-collecting performance. The equipment consists of a screw conveyor assembled transversely to the combine and a centrifugal fan assembled on the side. The collected chaff is dumped into a trailer towed by tractor.