Lean Product Management – Enhancing Product Managers' Ability to Create Value

The purpose of this master’s thesis was to study the opportunity to apply Lean practices to product management function which happens in an office environment. Since product management plays an important role in the company’s success story, it’s important to have it functioning as effectively as possible. The goal was to find those Lean tools and methods that fit the best to the needs of product management. The research was conducted as a qualitative action research which comprises a comprehensive literature review and a single case study. Theoretical information about Lean Thinking and product management was collected from articles, literature and Internet sources. Moreover, empirical data was collected by conducting interviews in the Case Company’s product management department in order to gain an in-depth understanding of product management’s problematics. The results indicate that most of the product management challenges could be overcome by applying Lean practises. Based on the usability rate, which has been discussed in the empirical part of this study, the most suitable Lean practises for product management function are: value stream mapping, Kanban and KPIs.

Lean management implementation in Horizontal Technology Transfer projects

The importance of Technology Transfer activities of companies is underpinned by the changes in technological and economic environments. However, there is still a significant gap in defining possible ways for Technology Transfer projects effectiveness improvement. The Master’s Thesis overviews common problems faced by the companies in implementation of Technology Transfer projects and examines Lean management principles as possible way to improve its effectiveness. Based on the analysis of the relevant scientific literature and results of the survey, conducted among the firms of different types, the approach to Technology Transfer projects implementation with the use of Lean management principles is proposed. The approach serves to solve some of the important problems faced by the managers of Technology Transfer projects. It is envisaged that this approach can help to increase overall Technology Transfer projects’ effectiveness.

Lean-ajattelun hyödyntäminen laskentatoimen raportointiprosessissa – Case tuloslaskelman raportointi

Useat yhtiöt ovat nähneet lean-tuotannon uutena mahdollisuutena vastata kiristyneeseen globaaliin kilpailuun ja suorittaa prosessit tehokkaammin ja pienemmillä kustannuksilla. Lean-ajattelun levitessä on se tullut osaksi myös laskentatoimea. Täman tutkielman tavoitteena on selvittää, miten lean-ajattelu ja -työkalut sopivat laskentatoimen raportointiprosessiin ja tutkia, minkälaisia hyviä ja huonoja puolia niissä on. Tutkimuksen tavoitteena on samalla tehdä prosessista entistä tehokkaampi, virtaviivaisempi ja nopeampi riskeeraamatta raportoinnin laatua. Raportointiprosessia tutkitaan case-yrityksessä, joka on iso suomalainen teknologian, automaation ja palveluiden toimittaja ja kehittäjä. Case-yrityksestä tutkielmaan on valittu yksi raportoiva yksikkö. Motivaatiota aiheeseen luo se, että lean-ajattelu on usein yhdistetty tuotantoon ja toimitusketjuihin, jolloin sen tuominen talouden ajatteluun ja raportointiprosessiin on mielenkiintoinen tehtävä. Lisäksi yrityksessä on todettu, että raportointi vie liian kauan ja liiketoiminnan päätöksenteon tueksi tieto tarvitaan yhä nopeammin. Tutkielma on kvalitatiivinen tutkimus. Tutkimuksen empirian aineisto on kerätty teemahaastattelujen, fokusryhmätyöskentelyn ja raportointiprosessista kerätyn datan avulla. Lean-työkaluista raportointiprosessin parantamisessa hyödynnettiin ensisijaisesti arvovirtakartoitusta, ja A3-työkalua käytettiin konsernitasolla projektin hallintaan. Kaizenin eli jatkuvan parantamisen kulttuurin luominen oli myös yksi tavoitteista. Raportointiprosessista kuvattiin aluksi arvovirtakartoituksella nykytilanne, jonka pohjalta löydettiin parannettavia asioita. Kehitysideoiden avulla luotiin yksikölle tavoitetila, jonka hyötyjä verrattuna alkuperäiseen arvovirtaan mitattiin läpimenoajalla, korjausten lukumäärän muutoksella ja säästetyllä työkustannuksella. Kaikki edellä luetellut mittarit paranivat. Läpimenoaika lyheni yhdellä päivällä, korjausten määrä pieneni kolmannekseen alkuperäisestä ja työnkustannus pieneni vajaan neljänneksen alkuperäisestä. Parantuneiden mittareiden ja tutkielmaan tehtyjen haastattelujen perusteella voidaan todeta, että lean-ajattelu sopii talouden raportointiprosessin parantamiseen ja ajattelumaailmaksi. Prosessia parannettaessa kävi myös ilmi, ettei teorian mukaisesti tätäkään prosessia voi parantaa irrallaan muista yrityksen prosesseista vaan parannusta tehdessä pitää koko organisaatiossa olla hyvä kommunikaatio ja parantaa myös muita prosesseja. Lisäksi raportointiprosessin nopeuttamista vaikeuttavat tekniset edellytykset, vaatimus korkeasta laadusta ja kunkin prosessin toiminnon tuoman arvon määrittäminen. Lean-työkalut ja etenkin arvovirtakartoitus todettiin talouden prosesseihin sopiviksi. Tutkielman prosessi ja sen muutokset todettiin vaikeasti yleistettäväksi organisaatiossa muihin yksiköihin tai prosesseihin, mutta sitä pidettiin hyvänä esimerkkinä ja todisteena siitä, että lean-ajattelua voidaan hyödyntää tarkkuutta vaativassa raportointiprosessissa.

Customer Discovery and Customer Validation in Lean Software Startups

The traditional business models and the traditionally successful development methods that have been distinctive to the industrial era, do not satisfy the needs of modern IT companies. Due to the rapid nature of IT markets, the uncertainty of new innovations‟ success and the overwhelming competition with established companies, startups need to make quick decisions and eliminate wasted resources more effectively than ever before. There is a need for an empirical basis on which to build business models, as well as evaluate the presumptions regarding value and profit. Less than ten years ago, the Lean software development principles and practices became widely well-known in the academic circles. Those practices help startup entrepreneurs to validate their learning, test their assumptions and be more and more dynamical and flexible. What is special about today‟s software startups is that they are increasingly individual. There are quantitative research studies available regarding the details of Lean startups. Broad research with hundreds of companies presented in a few charts is informative, but a detailed study of fewer examples gives an insight to the way software entrepreneurs see Lean startup philosophy and how they describe it in their own words. This thesis focuses on Lean software startups‟ early phases, namely Customer Discovery (discovering a valuable solution to a real problem) and Customer Validation (being in a good market with a product which satisfies that market). The thesis first offers a sufficiently compact insight into the Lean software startup concept to a reader who is not previously familiar with the term. The Lean startup philosophy is then put into a real-life test, based on interviews with four Finnish Lean software startup entrepreneurs. The interviews reveal 1) whether the Lean startup philosophy is actually valuable for them, 2) how can the theory be practically implemented in real life and 3) does theoretical Lean startup knowledge compensate a lack of entrepreneurship experience. A reader gets familiar with the key elements and tools of Lean startups, as well as their mutual connections. The thesis explains why Lean startups waste less time and money than many other startups. The thesis, especially its research sections, aims at providing data and analysis simultaneously.

Customer Discovery and Customer Validation in Lean Software Startups

The traditional business models and the traditionally successful development methods that have been distinctive to the industrial era, do not satisfy the needs of modern IT companies. Due to the rapid nature of IT markets, the uncertainty of new innovations‟ success and the overwhelming competition with established companies, startups need to make quick decisions and eliminate wasted resources more effectively than ever before. There is a need for an empirical basis on which to build business models, as well as evaluate the presumptions regarding value and profit. Less than ten years ago, the Lean software development principles and practices became widely well-known in the academic circles. Those practices help startup entrepreneurs to validate their learning, test their assumptions and be more and more dynamical and flexible. What is special about today‟s software startups is that they are increasingly individual. There are quantitative research studies available regarding the details of Lean startups. Broad research with hundreds of companies presented in a few charts is informative, but a detailed study of fewer examples gives an insight to the way software entrepreneurs see Lean startup philosophy and how they describe it in their own words. This thesis focuses on Lean software startups‟ early phases, namely Customer Discovery (discovering a valuable solution to a real problem) and Customer Validation (being in a good market with a product which satisfies that market). The thesis first offers a sufficiently compact insight into the Lean software startup concept to a reader who is not previously familiar with the term. The Lean startup philosophy is then put into a real-life test, based on interviews with four Finnish Lean software startup entrepreneurs. The interviews reveal 1) whether the Lean startup philosophy is actually valuable for them, 2) how can the theory be practically implemented in real life and 3) does theoretical Lean startup knowledge compensate a lack of entrepreneurship experience. A reader gets familiar with the key elements and tools of Lean startups, as well as their mutual connections. The thesis explains why Lean startups waste less time and money than many other startups. The thesis, especially its research sections, aims at providing data and analysis simultaneously.

Process Improvement in Phlebotomy

This study has two main objectives. First, the phlebotomy process at the St. Catharines Site of the Niagara Health System is investigated, which starts when an order for a blood test is placed, and ends when the specimen arrives at the lab. The performance measurement is the flow time of the process, which reflects concerns and interests of both the hospital and the patients. Three popular operational methodologies are applied to reduce the flow time and improve the process: DMAIC from Six Sigma, lean principles and simulation modeling. Potential suggestions are provided for the St. Catharines Site, which could result in an average of seven minutes reduction in the flow time. The second objective addresses the fact that these three methodologies have not been combined before in a process improvement effort. A structured framework combining them is developed to benefit future study of phlebotomy and other hospital processes.

Implementación de Lean-Manufacturing en la línea número 7 de la compañía Hoffman, planta de Reynosa por Sergio Alejandro Serna Castellanos

Tesis (Maestro en Ciencias de la Administración con Especialidad en Producción y Calidad) U.A.N.L. - 2001

A Note on Ordinally Equivalent Pareto Surfaces

Assuming at least three individuals and some regularity conditions, we construct a set S* of Pareto surfaces which is an ordinal basis of the set S of all surfaces: every surface in S is ordinally equivalent to some surface in S* and all surfaces in S* are ordinally distinct.

The Double Pareto-Lognormal Distribution and its applications in actuarial science and finance

Le but de ce mémoire de maîtrise est de décrire les propriétés de la loi double Pareto-lognormale, de montrer comment on peut introduire des variables explicatives dans le modèle et de présenter son large potentiel d'applications dans le domaine de la science actuarielle et de la finance. Tout d'abord, nous donnons la définition de la loi double Pareto-lognormale et présentons certaines de ses propriétés basées sur les travaux de Reed et Jorgensen (2004). Les paramètres peuvent être estimés en utilisant la méthode des moments ou le maximum de vraisemblance. Ensuite, nous ajoutons une variable explicative à notre modèle. La procédure d'estimation des paramètres de ce mo-\\dèle est également discutée. Troisièmement, des applications numériques de notre modèle sont illustrées et quelques tests statistiques utiles sont effectués.

Bivariate semi-Pareto distributions and processes

A bivariate semi-Pareto distribution is introduced and characterized using geometric minimization. Autoregressive minification models for bivariate random vectors with bivariate semi-Pareto and bivariate Pareto distributions are also discussed. Multivariate generalizations of the distributions and the processes are briefly indicated.

A Bivariate Pareto Distribution with Freund’s Dependence Structure

Department of Statistics, Cochin University of Science and Technology

On Finite Mixture of Pareto and Beta Distnbutions

Department of Statistics, Cochin University of Science and Technology

Bayesian Inference in Exponential and Pareto populations in the presence of Outliers

This thesis Entitled Bayesian inference in Exponential and pareto populations in the presence of outliers. The main theme of the present thesis is focussed on various estimation problems using the Bayesian appraoch, falling under the general category of accommodation procedures for analysing Pareto data containing outlier. In Chapter II. the problem of estimation of parameters in the classical Pareto distribution specified by the density function. In Chapter IV. we discuss the estimation of (1.19) when the sample contain a known number of outliers under three different data generating mechanisms, viz. the exchangeable model. Chapter V the prediction of a future observation based on a random sample that contains one contaminant. Chapter VI is devoted to the study of estimation problems concerning the exponential parameters under a k-outlier model.