The New-Day Jewett Six

kuv., 19 x 38 cm

Lean, Six Sigma ja Total Welding Management hitsaavassa verkostossa

Diplomityössä tarkastellaan hitsaavan verkoston laadunhallintaa ja siinä ilmeneviä erilaisia ongelmakohtia. Tämän lisäksi työssä tarkastellaan kolmen eri laatutyökalun Lean, Six Sigma ja Total Welding Management soveltamista hitsaavan verkoston laadunhallinnassa. Teoriaosassa käsitellään sekä yleisesti että hitsauksen osalta laatua ja laadunhallintaa, sekä edellä mainittuja laatutyökaluja. Tutkimusosaan tietoja hitsaavista verkostoista kerättiin kaikkiaan kolmesta eri verkostosta. Näiden kerättyjen tietojen pohjalta tarkasteltiin valittujen laatutyökalujen soveltuvuutta verkostomaiseen käyttöön. Verkostoitunut toiminta aiheuttaa monia uusia haasteita yritysten laadunhallinnalle verrattuna yksittäisiin hitsaaviin yrityksiin. Suurimpia tutkimuksessa havaittuja ongelmakohtia ovat suunnittelun ja valmistuksen yhteistyön erilaiset puutteet, laatutasoon ja sen varmistukseen liittyvät asiat, sekä verkoston sisälle syntyvä niin sanottu hiljainen tieto ja sen häviäminen. Tutkimuksen tarkastelujen perusteella havaittiin, että kaikkien tutkimukseen valitun kolmen laatutyökalun soveltaminen myös verkostomaisessa toiminnassa on mahdollista, mutta se vaatii huomattavasti suurempaa työpanosta kuin soveltaminen yksittäisessä yrityksessä. Myös näiden kaikkien kolmen työkalun yhtä aikainen käyttö on mahdollista. Juuri oikean työkalun valitseminen kullekin hitsaavalle verkostolle vaatii tarkkaa perehtymistä verkostoon ja sen tilanteeseen.

Excelling in procurement : IT Contract Management with Lean and Six Sigma. Case study on legacy contract management at Philips Global IT.

Few people see both opportunities and threats coming from IT legacy in current world. On one hand, effective legacy management can bring substantial hard savings and smooth transition to the desired future state. On the other hand, its mismanagement contributes to serious operational business risks, as old systems are not as reliable as it is required by the business users. This thesis offers one perspective of dealing with IT legacy – through effective contract management, as a component towards achieving Procurement Excellence in IT, thus bridging IT delivery departments, IT procurement, business units, and suppliers. It developed a model for assessing the impact of improvements on contract management process and set of tools and advices with regards to analysis and improvement actions. The thesis conducted case study to present and justify the implementation of Lean Six Sigma in IT legacy contract management environment. Lean Six Sigma proved to be successful and this thesis presents and discusses all the steps necessary, and pitfalls to avoid, to achieve breakthrough improvement in IT contract management process performance. For the IT legacy contract management process two improvements require special attention and can be easily copied to any organization. First is the issue of diluted contract ownership that stops all the improvements, as people do not know who is responsible for performing those actions. Second is the contract management performance evaluation tool, which can be used for monitoring, identifying outlying contracts and opportunities for improvements in the process. The study resulted in a valuable insight on the benefits of applying Lean Six Sigma to improve IT legacy contract management, as well as on how Lean Six Sigma can be applied in IT environment. Managerial implications are discussed. It is concluded that the use of data-driven Lean Six Sigma methodology for improving the existing IT contract management processes is a significant addition to the existing best practices in contract management.

Commercialization of Modern Renewable Energy

The threat of global warming and its consequences are widely recognized, and the question of how to proceed with the long transition towards fossil fuel -neutral economies concerns many nations and people. At the same time the world’s primary energy use is predicted to increase significantly during the next decades as a result of global population and welfare increase. Improved energy efficiency and increased use of renewable energy sources in the world’s energy mix play important roles in the future energy production and consumption. The objective of this thesis is to study how novel renewable energy technologies, such as distributed small-scale bio-fueled combined heat and power production and wind power technologies could be commercialized efficiently. A wide array of attributes may contribute to the diffusion of new products. In general, the bioenergy and wind power technologies are in emerging phases, and the diffusion stage varies from country to country. The effects of firms’ technology choices, collaboration and alliances are studied in this thesis. Furthermore, the roles of national energy infrastructure and energy support schemes in the commercialization of new renewable energy products are explored. The empirical data is based on energy expert interviews, financial and patent data, and literature reviews of different case studies. The thesis comprises two parts. The first part provides an overview of the study, and the second part includes six research publications. The results reveal that small-scale bio-fueled combined heat and power production and wind power technologies are still in emerging phases in their life cycles, and energy support schemes are crucial in the market diffusion. The study contributes to earlier findings in the literature and industry by confirming that adequate energy policies and energy infrastructure are fundamental in the commercialization of novel renewable energy technologies. Firm-specific issues, including business relationships and new business models, and market-related issues will have a more significant role in the market penetration in the future, when the technologies mature and become competitive without political support schemes.

Dual light barrier method for six degrees of freedom tool center point calibration of an industrial robot

Tool center point calibration is a known problem in industrial robotics. The major focus of academic research is to enhance the accuracy and repeatability of next generation robots. However, operators of currently available robots are working within the limits of the robot´s repeatability and require calibration methods suitable for these basic applications. This study was conducted in association with Stresstech Oy, which provides solutions for manufacturing quality control. Their sensor, based on the Barkhausen noise effect, requires accurate positioning. The accuracy requirement admits a tool center point calibration problem if measurements are executed with an industrial robot. Multiple possibilities are available in the market for automatic tool center point calibration. Manufacturers provide customized calibrators to most robot types and tools. With the handmade sensors and multiple robot types that Stresstech uses, this would require great deal of labor. This thesis introduces a calibration method that is suitable for all robots which have two digital input ports free. It functions with the traditional method of using a light barrier to detect the tool in the robot coordinate system. However, this method utilizes two parallel light barriers to simultaneously measure and detect the center axis of the tool. Rotations about two axes are defined with the center axis. The last rotation about the Z-axis is calculated for tools that have different width of X- and Y-axes. The results indicate that this method is suitable for calibrating the geometric tool center point of a Barkhausen noise sensor. In the repeatability tests, a standard deviation inside robot repeatability was acquired. The Barkhausen noise signal was also evaluated after recalibration and the results indicate correct calibration. However, future studies should be conducted using a more accurate manipulator, since the method employs the robot itself as a measuring device.

Lean Six Sigma in a Manufacturing Lead Time Improvement Project

The objective of this research is to demonstrate the use of Lean Six Sigma methodology in a manufacturing lead time improvement project. Moreover, the goal is to develop working solutions for the target company to improve its manufacturing lead time. The theoretical background is achieved through exploring the literature of Six Sigma, Lean and Lean Six Sigma. The development will be done in collaboration with the related stakeholders, by following the Lean Six Sigma improvement process DMAIC and by analyzing the process data from the target company. The focus of this research is in demonstrating how to use Lean Six Sigma improvement process DMAIC in practice, rather than in comparing Lean Six Sigma to other improvement methodologies. In order to validate the manufacturing system’s current state, improvement potential and solutions, statistical tools such as linear regression analysis were used. This ensured that all the decisions were as heavily based on actual data as possible. As a result of this research, a set of solutions were developed and implemented in the target company. These solutions included batch size reduction, bottleneck shift, first-in first-out queuing and shifting a data entry task from production planners to line workers. With the use of these solutions, the target company was able to reduce its manufacturing lead time by over one third.

Suomen kasvihuonekaasupäästöt Kioton pöytäkirjan ensimmäisen sopimuskauden lopussa – kokonaistilanne ja vähentämistoimenpiteet

Tämä diplomityö on läpileikkaus kasvihuonekaasupäästöistä sekä niitä koskevista vähennystoimenpiteistä Suomessa Kioton pöytäkirjan ensimmäisen sopimuskauden lopussa. Työ on toteutettu kirjallisuustutkimuksena ja siihen on käytetty painettuja sekä sähköisiä lähteitä. Huoli ilmastonmuutoksesta on saanut aikaan sen, että kasvihuonekaasupäästöjä rajoitetaan tänä päivänä kansainvälisillä sopimuksilla. Vaikka kaikki suuretkaan päästäjämaat eivät ole sopimuksia ratifioineet, ovat EU-maat Suomi mukaan lukien sitoutuneet YK:n ilmastonmuutosta koskevaan puitesopimukseen ja sen noudattamiseen. Puitesopimusta tarkentavassa Kioton pöytäkirjassa EU sitoutui vähentämään kuuden eri kasvihuonekaasun kokonaispäästöjä yhteensä 8 prosenttia ajanjaksolla 2008–2012 vuoteen 1990 verrattuna. Kasvihuonekaasut, joita rajoitukset koskivat, olivat hiilidioksidi, metaani, dityppioksidi, fluorihiilivedyt, perfluorihiilivedyt ja rikkiheksafluoridi. EU:n sisäisessä taakanjaossa Suomen tavoite oli pitää päästöt vertailuvuoden 1990 tasossa ja Suomi alitti tämän noin viidellä prosentilla. Vuoden 2012 jälkeen Suomen kasvihuonekaasupäästöjen vähennystavoite on kiristynyt. Vuosille 2013–2020 Suomen tavoite on vähentää kasvihuonekaasupäästöjä 20 prosenttia alle perusvuoden 1990 tason. Työssä tutustutaan myös keinoihin, joilla aiempien ja tulevien päästöjenvähennystavoitteiden saavuttaminen on mahdollista. Näitä keinoja on mm. erilaisten biopolttoaineiden sekoittaminen fossiilisten polttoaineiden sekaan, energiatehokkuuden parantaminen ja biokaasun käytön lisääminen. Lisäksi työssä käsitellään eräitä merkityksellisiä käsitteitä, kuten EU:n päästökauppajärjestelmä ja hiilidioksidin talteenotto ja varastointi.

Time Varying Conditional Correlation Between Stock And Bond Returns: Evidence From CIVETS Nations

This thesis estimates long-run time variant conditional correlation between stock and bond returns of CIVETS (Colombia, Indonesia, Vietnam, Egypt, Turkey, and South Africa) nations. Further, aims to analyse the presence of asymmetric volatility effect in both asset returns, as well as, obverses increment or decrement in conditional correlation during pre-crisis and crisis period, which lead to make a reliable diversification decision. The Constant Conditional Correlation (CCC) GARCH model of Bollerslev (1990), the Dynamic Conditional Correlation (DCC) GARCH model (Engle 2002), and the Asymmetric Dynamic Conditional Correlation (ADCC) GARCH model of Cappiello, Engle, and Sheppard (2006) were implemented in the study. The analyses present strong evidence of time-varying conditional correlation in CIVETS markets, excluding Vietnam, during 2005-2013. In addition, negative innovation effects were found in both conditional variance and correlation of the asset returns. The results of this study recommend investors to include financial assets from these markets in portfolios, in order to obtain better stock-bond diversification benefits, especially during high volatility periods.

How Lean Six Sigma and Agile principles optimize ITIL-based processes

Imagine the potential implications of an organization whose business and IT processes are well aligned and are capable of reactively and proactively responding to the external and internal changes. The Philips IT Infrastructure and Operations department (I&O) is undergoing a series of transformation activities to help Philips business keeping up with the changes. I&O would serve a critical function in any business sectors; given that the I&O’s strategy switched from “design, build and run” to “specify, acquire and performance manage”, that function is amplified. In 2013, I&O’s biggest transforming programme I&O Futures engaged multiple interdisciplinary departments and programs on decommissioning legacy processes and restructuring new processes with respect to the Information Technology Internet Library (ITIL), helping I&O to achieve a common infrastructure and operating platform (CI&OP). The author joined I&O Futures in the early 2014 and contributed to the CI&OP release 1, during which a designed model Bing Box and its evaluations were conducted through the lens of six sigma’s structured define-measure-analyze-improve-control (DMAIC) improvement approach. This Bing Box model was intended to firstly combine business and IT principles, namely Lean IT, Agile, ITIL best practices, and Aspect-oriented programming (AOP) into a framework. Secondly, the author implemented the modularized optimization cycles according to the defined framework into Philips’ ITIL-based processes and, subsequently, to enhance business process performance as well as to increase efficiency of the optimization cycles. The unique of this thesis is that the Bing Box model not only provided comprehensive optimization approaches and principles for business process performance, but also integrated and standardized optimization modules for the optimization process itself. The research followed a design research guideline that seek to extend the boundaries of human and organizational capabilities by creating new and innovative artifacts. The Chapter 2 firstly reviewed the current research on Lean Six Sigma, Agile, AOP and ITIL, aiming at identifying the broad conceptual bases for this study. In Chapter 3, we included the process of constructing the Bing Box model. The Chapter 4 described the adoption of Bing Box model: two-implementation case validated by stakeholders through observations and interviews. Chapter 5 contained the concluding remarks, the limitation of this research work and the future research areas. Chapter 6 provided the references used in this thesis.