77 resultados para vendor-managed inventory


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Having inventory to cover from all possible problems would increase the inventory level indefinitely in accordance with the standard deviation. If the materials in stock are not used, but kept just to be on the safe side, they are waste. The main objective of this study was to find out, how much inventory is required to cover the requirements, without causing delivery problems towards the end-customers, and how the inventory could be controlled efficiently. Several improvements were made in the controlling principles, and the inventory level was quickly decreased by more than 30 %, and kept on the reached level. The suitability of kanban control was investigated, and it was eventually taken into some use. A great advantage was found in the new procedures in securing the supply. The requests for quotations were diversified, and the faulty basis was corrected. Thus, the inventory surplus would later be avoided, and at the same time, a lot of valuable time was saved from daily routines to further improvement projects.

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Forest inventories are used to estimate forest characteristics and the condition of forest for many different applications: operational tree logging for forest industry, forest health state estimation, carbon balance estimation, land-cover and land use analysis in order to avoid forest degradation etc. Recent inventory methods are strongly based on remote sensing data combined with field sample measurements, which are used to define estimates covering the whole area of interest. Remote sensing data from satellites, aerial photographs or aerial laser scannings are used, depending on the scale of inventory. To be applicable in operational use, forest inventory methods need to be easily adjusted to local conditions of the study area at hand. All the data handling and parameter tuning should be objective and automated as much as possible. The methods also need to be robust when applied to different forest types. Since there generally are no extensive direct physical models connecting the remote sensing data from different sources to the forest parameters that are estimated, mathematical estimation models are of "black-box" type, connecting the independent auxiliary data to dependent response data with linear or nonlinear arbitrary models. To avoid redundant complexity and over-fitting of the model, which is based on up to hundreds of possibly collinear variables extracted from the auxiliary data, variable selection is needed. To connect the auxiliary data to the inventory parameters that are estimated, field work must be performed. In larger study areas with dense forests, field work is expensive, and should therefore be minimized. To get cost-efficient inventories, field work could partly be replaced with information from formerly measured sites, databases. The work in this thesis is devoted to the development of automated, adaptive computation methods for aerial forest inventory. The mathematical model parameter definition steps are automated, and the cost-efficiency is improved by setting up a procedure that utilizes databases in the estimation of new area characteristics.

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Maritime transports are very essential for Finland as over 80% of the foreign trade in the country is seaborne and possibilities to carry out these transports by are limited. Any disruption in maritime transports has negative consequences to many sectors in the Finnish economy. Maritime transport thus represents critical infrastructure for Finland. This report focuses on the importance of maritime transports on security of supply in Finland and for the so called critical industries in particular. The report summarizes the results of the Work Package 2 of the research project STOCA – “Study of cargo flows in the Gulf of Finland in emergency situations”. The aim of the research was to analyze the cargo flows and infrastructure that are vital for maintaining security of supply in Finland, as well as the consequences of disruptions in the maritime traffic for the Finnish critical industries and for the Finnish society. In the report we give a presentation of the infrastructure and transport routes which are critical for maintaining security of supply in Finland. We discuss import dependency of the critical industries, and the importance of the Gulf of Finland ports for Finland. We assess vulnerabilities associated with the critical material flows of the critical industries, and possibilities for alternative routings in case either one or several of the ports in Finland would be closed. As a concrete example of a transport disruption we analyze the consequences of the Finnish stevedore strike at public ports (4.3.–19.3.2010). The strike stopped approximately 80% of the Finnish foreign trade. As a result of the strike Finnish companies could not export their products and/or import raw materials, components and spare parts, or other essential supplies. We carried out personal interviews with representatives of the companies in Finnish critical industries to find out about the problems caused by the strike, how companies carried out they transports and how they managed to continue their operations during the strike. Discussions with the representatives of the companies gave us very practical insights about companies’ preparedness towards transport disruptions in general. Companies in the modern world are very vulnerable to transport disruptions because companies regardless of industries have tried to improve their performance by optimizing their resources and e.g. by reducing their inventory levels. At the same time they have become more and more dependent on continuous transports. Most companies involved in foreign trade have global operations and global supply chains, so any disruption anywhere in the world can have an impact on the operations of the company causing considerable financial loss. The volcanic eruption in Iceland in April 2010 stopping air traffic in the whole Northern Europe and most recently the earth quake causing a tsunami in Japan in March 2011 are examples of severe disruptions causing considerable negative impacts to companies’ supply chains. Even though the Finnish stevedore strike was a minor disruption compared to the natural catastrophes mentioned above, it showed the companies’ vulnerability to transport disruptions very concretely. The Finnish stevedore strike gave a concrete learning experience of the importance of preventive planning for all Finnish companies: it made them re-think their practical preparedness towards transport risks and how they can continue with their daily operations despite the problems. Many companies realized they need to adapt their long-term countermeasures against transport disruptions. During the strike companies did various actions to secure their supply chains. The companies raised their inventory levels before the strike began, they re-scheduled or postponed their deliveries, shifted customer orders between production plants among their company’s production network or in the extreme case bought finished products from their competitor to fulfil their customers’ order. Our results also show that possibilities to prepare against transport disruptions differ between industries. The Finnish society as a whole is very dependent on imports of energy, various raw materials and other supplies needed by the different industries. For many of the Finnish companies in the export industries and e.g. in energy production maritime transport is the only transport mode the companies can use due to large volumes of materials transported or due to other characteristics of the goods. Therefore maritime transport cannot be replaced by any other transport mode. In addition, a significant amount of transports are concentrated in certain ports. From a security of supply perspective attention should be paid to finding ways to decrease import dependency and ensuring that companies in the critical industries can ensure the continuity of their operations.

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Työn tavoitteenaan oli selvittää suomalaisen lääkejakeluketjun rakenne sekä saada selkeä kuva ketjun toiminnan tehokkuudesta käyttöpääoman sitoutumisen ja kiertoaikojen osalta. Työn alussa käydään läpi teoriaa ja tutkimusta käyttöpääomasta ja sen erien kiertoajoista sekä erityisesti niiden huomioimisesta arvoketjussa. Lisäksi esitellään Suomen lääkemarkkinoiden toimintaa sekä sen toimijoita. Työn empiirinen osa suoritettiin kahdessa päävaiheessa. Ensin analysoitiin Voitto+ -ohjelmasta saatuja valittujen lääkejakeluketjun yritysten julkisia tilinpäätöstietoja ajalta 2005- 2011. Analysointi perustui käyttöpääoman sekä sen erien myyntisaamisten, ostovelkojen ja vaihto-omaisuuden kiertoaikojen laskemiseen. Ketjun yrityksiä vertailtiin toisiinsa ketjun osien keskimääräisten kiertoaikojen osalta ja saatiin selville niiden suhteellinen sijoittuminen toisiinsa nähden. Työn toisessa päävaiheessa haastateltiin esimerkkitoimijaa käsitellyn lääkejakeluketjun jokaisesta osasta: lääketehdas, tukkujakelija ja apteekki. Työssä huomattiin, että käyttöpääoman kiertoaikaan lääkejakeluketjussa vaikuttaa ensisijaisesti ketjun osan toiminnan luonne ja käyttöpääoman hallinnan tehokkuus lääkejakeluketjun toimijoiden välillä vaihtelee osaamisen ja resurssien mukaan. Ketjun eri osissa painottuvat eri käyttöpääoman erät ja ketjun toiminta on optimoitunut aikojen saatossa hyvin stabiiliin tilaan, jota ketjun jäsenillä ei näytä olevan halua muuttaa. Lääkejakeluketjun käyttöpääomaan hallintaa voitaisiin tehostaa varastonhallintaa parantamalla sekä informaation jakamisella saattamalla kysyntätiedot nopeammin koko ketjun tietoon.

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The goal of this study is to create a new inventory valuation process for The Switch Drive Systems and to improve its inventory management practices. In the matter of inventories the main problems in the case company are that it doesn’t have consistent valuation methods throughout the company and that information received in ERP system isn’t trustful. The research is qualitative case study. The empirical data is gathered through observing and unstructured interviews. The research shows that material flow process and the inventory valuation must be divided and handled separately but they should interact with each other. The result is a new inventory valuation process which takes many factors of material process under the consideration in order to receive reliable value for inventories.

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This thesis researches automatic traffic sign inventory and condition analysis using machine vision and pattern recognition methods. Automatic traffic sign inventory and condition analysis can be used to more efficient road maintenance, improving the maintenance processes, and to enable intelligent driving systems. Automatic traffic sign detection and classification has been researched before from the viewpoint of self-driving vehicles, driver assistance systems, and the use of signs in mapping services. Machine vision based inventory of traffic signs consists of detection, classification, localization, and condition analysis of traffic signs. The produced machine vision system performance is estimated with three datasets, from which two of have been been collected for this thesis. Based on the experiments almost all traffic signs can be detected, classified, and located and their condition analysed. In future, the inventory system performance has to be verified in challenging conditions and the system has to be pilot tested.

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In the market where companies similar in size and resources are competing, it is challenging to have any advantage over others. In order to stay afloat company needs to have capability to perform with fewer resources and yet provide better service. Hence development of efficient processes which can cut costs and improve performance is crucial. As business expands, processes become complicated and large amount of data needs to be managed and available on request. Different tools are used in companies to store and manage data, which facilitates better production and transactions. In the modern business world the most utilized tool for that purpose is ERP - Enterprise Resource Planning system. The focus of this research is to study how competitive advantage can be achieved by implementing proprietary ERP system in the company; ERP system that is in-house created, tailor made to match and align business needs and processes. Market is full of ERP software, but choosing the right one is a big challenge. Identifying the key features that need improvement in processes and data management, choosing the right ERP, implementing it and the follow-up is a long and expensive journey companies undergo. Some companies prefer to invest in a ready-made package bought from vendor and adjust it according to own business needs, while others focus on creating own system with in-house IT capabilities. In this research a case company is used and author tries to identify and analyze why organization in question decided to pursue the development of proprietary ERP system, how it has been implemented and whether it has been successful. Main conclusion and recommendation of this research is for companies to know core capabilities and constraints before choosing and implementing ERP system. Knowledge of factors that affect system change outcome is important, to make the right decisions on strategic level and implement on operational level. Duration of the project in the case company has lasted longer than anticipated. It has been reported that in cases of buying ready product from vendor, projects are delayed and completed over budget as well. In general, in case company implementation of proprietary ERP has been successful both from business performance figures and usability of system by employees. In terms of future research, conducting a study to calculate statistically ROI of both approaches; of buying ready product and creating own ERP will be beneficial.

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Microsoft System Center Configuration Manager is a systems management product for managing large groups of computers and/or mobile devices. It provides operating system deployment, software distribution, patch management, hardware & software inventory, remote control and many other features for the managed clients. This thesis focuses on researching whether this product is suitable for large, international organization with no previous, centralized solution for managing all such networked devices and detecting areas, where the system can be altered to achieve a more optimal management product from the company’s perspective. The results showed that the system is suitable for such organization if properly configured and clear and transparent line of communication between key IT personnel exists.

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Varaosavarastoihin kohdistuu entistä enemmän samoja vaihto-omaisuuden hallinnan vaatimuksia kuin raaka-aine ja lopputuotevarastoihin. Tämän tutkimuksen tavoitteena oli selvittää, miten kunnossapito-organisaatio voi vastata näihin tavoitteisiin heikentämättä koneiden ja laitteiden teknistä käytettävyyttä ja lisäämättä riskiä tuotannon menetyksille. Kirjallisuudessa on esitetty suuri joukko eri lähtökohdista kehitettyjä analysointimalleja ja varastonpitopolitiikoita. Niiden avulla varaosia voidaan jakaa eri luokkiin ja niiden muodostamaa kokonaisuutta hallita. Teoriaosiossa on suoritettu kirjallisuuskatsaus käytetyimpiin menetelmiin ja tapaustutkimuksiin. Empiiriaosiossa menetelmien soveltuvuutta tutkittiin käytännössä. Tiedonkeruussa käytettiin case-yrityksen dokumentteja ja tietojärjestelmistä saatavaa tietoa, sekä havainnointia ja avoimia haastatteluita. Tutkimuksen tuloksena havaittiin merkittävä kehityspotentiaali, jonka hyödyntämiseksi saatiin määriteltyä tarpeisiin ja tutkimuksen lähtökohtana olleeseen viitekehykseen sopivat analysointi- ja varastonhallintamenetelmät. Varastokokonaisuuden hallintapolitiikka ehdotettiin lisättäväksi osaksi laatujärjestelmää. Sen avulla menetelmien johdonmukainen noudattaminen ja ohjeiden ajan tasalla pitäminen toteutuvat myös käytännössä.

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This thesis applies the customer value hierarchy model to forestry in order to determine strategic options to enhance the value of LiDAR technology in Russian forestry. The study is conducted as a qualitative case study with semi-structured interviews as a main source of the primary data. The customer value hierarchy model constitutes a theoretical base for the research. Secondary data incorporates information on forest resource management, LiDAR technology and Russian forestry. The model is operationalised using forestry literature and forms a basis for analyses of primary data. Analyses of primary data coupled with comprehension of Russian forest inventory system and knowledge on global forest inventory have led to conclusions on the forest inventory methods selection criteria and the organizations that would benefit the most from LiDAR technology use. The thesis recommends strategic options for LiDAR technology’s value enhancement in Russian forestry.

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This research report applies the customer value hierarchy model to forestry in order to determine strategic options to enhance the value of LiDAR technology in Russian forestry. The study is conducted as a qualitative case study with semi-structured interviews as a main source of the primary data. The customer value hierarchy model constitutes a theoretical base for the research. Secondary data incorporates information on forest resource management, LiDAR technology and Russian forestry. The model is operationalised using forestry literature and forms a basis for analyses of primary data. Analyses of primary data coupled with comprehension of Russian forest inventory system and knowledge on global forest inventory have led to conclusions on the forest inventory methods selection criteria and the organizations that would benefit the most from LiDAR technology use. The report recommends strategic options for LiDAR technology’s value enhancement in Russian forestry. This work has been conducted as a part of the project ‘Finnish-Russian Forest Academy 2 - Exploiting and Piloting’, which has been supported financially by the South-East Finland- Russia ENPI CBC 2007-2014 Programme.

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Tutkimuksen tavoitteena oli selvittää automaattisten tilausjärjestelmien onnistuneen käyttöönottoon taustalla vaikuttavia tekijöitä vähittäiskaupan toimialalla ja etsiä ratkaisua kyseisten järjestelmien onnistuneeseen käyttöönottoon tässä ympäristössä. Tutkimus analysoi yli sadan kaupan järjestelmän käyttöönottoa ja käyttöönoton tuloksia. Tutkimusta varten haastateltiin niin yhtiön sisältä kuin ulkopuoleltakin mukana olleita hankintajärjestelmän ja jalkautuksen asiantuntijoita. Tämän lisäksi järjestelmän käyttöönottaneisiin kauppoihin lähetettiin kyselyt, joita analysoitiin ryhmissä automaattisen tilausjärjestelmän tietojen pohjalta. Työn tuloksena pystyttiin tunnistamaan tietty joukko taustatekijöitä, jotka tulee ottaa käyttöönotossa huomioon sekä saatuihin tutkimustuloksiin perustuen kehitettiin malli vastaavanlaisten järjestelmien käyttöönotolle vähittäiskaupan alalle.