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Diss. (sammanfattning) Linköping : Linköpings universitet, 2007. / Härtill 6 uppsatser.

Il y a de cela un demi-siècle, l’expression de la performance industrielle était taylorienne, monocritère, rattachée aux résultats financiers de l’entreprise. Aujourd’hui, la performance a adopté une dimension multicritère, multi niveau, liée au degré d’atteinte d’un objectif généralement global. Les performances du système sont établies à des fins de pilotage, calculées sur la base de comparaisons entre les objectifs fixés et les mesures correspondantes. Toutefois, cette performance est restée exprimée, de manière statique, généralement à l’instant final de l’horizon temporel associé à l’atteinte de l’objectif.Nous proposons, dans le cadre de cette thèse, une définition de la performance temporelle, déployée selon trois performances, instantanée, tendancielle et prédictive. L’hypothèse émise dans nos travaux consiste à considérer un objectif défini par une trajectoire d’objectifs dits intermédiaires, sur un horizon temporel donné. La performance instantanée est définie comme le degré d’atteinte de l’objectif à un jalon donné de l’horizon temporel. Elle repose ainsi sur une fonction de comparaison de la valeur de l’objectif et celle de la mesure de son atteinte. La performance tendancielle est le résultat de la comparaison de la tendance de l’objectif avec la tendance de la mesure. Cette performance renseigne de la manière dont l’objectif est atteint. La performance prédictive est définie à un jalon donné de l’horizon temporel, pour un jalon futur. Elle est le résultat de la comparaison de la valeur de l’objectif intermédiaire associé au jalon futur, avec une estimation de valeur de la mesure à ce même jalon futur. Une méthode d’exploitation de ces performances est proposée, fondée sur un principe d’agrégation, « deux à deux », des trois performances temporelles ; ce qui nous permet de fournir une information synthétique unique, relative à la performance de la trajectoire de l’objectif en quelque sorte. A l’issue de cette étape de définition, nous proposons une formalisation qualitative de ces performances, fondée sur l’utilisation de la théorie des sous-ensembles flous. Jeux de règles et descriptions linguistiques sont utilisés dans ce sens. Nous illustrons enfin ces propositions par des exemples extraits d’un projet d’amélioration du TRS de la Société Fournier. / Fifty years ago, the expression of industrial performance was Taylorian, mono criterion, and attached to the financial results of the company. Today, the performance has adopted both multi criteria and multilevel dimensions. More generally, such a performance is usually related to the achievement of overall objectives and is dedicated to control purposes, post Taylorian performances are thus expressed on the basis of comparisons between the fixed objectives and the corresponding measures. However, this performance is often statically expressed, generally at the final moment of the temporal horizon which is associated with the objective achievement.In this thesis, we propose a definition of the “temporal” performance, according to three performances: the instantaneous performance, the trend performance and the predictive performance. The fundamental assumption in our work consists of considering an objective as being a trajectory of what we call intermediate objectives, throughout a given temporal horizon. Instantaneous performance is expressed by the objective achievement at a given milestone of the temporal horizon. Such a performance relies on the comparison of the objective and the measurement of its achievement. Trend performance is the result of the comparison of the trend objective with the trend measurement. This performance provides information concerning the objective achievement. Predictive performance is defined at a given milestone of the temporal horizon, for a future milestone of this horizon. It is the result of the comparison of the intermediate objective of the considered future milestone with an estimation of measurement at this same future milestone. Moreover, a methodology for using these performances is proposed, based on a principle of aggregation, "in pairs", of the three temporal performances, which allows us to provide a single synthetic piece of information that is, to some extent, the performance of the objective trajectory. As a continuation of this definition step, we propose a qualitative formalization of these performances, based on the fuzzy subsets theory. Rules-based aggregations and linguistic descriptions are used in this. Finally, we illustrate these propositions with examples that are extracted from the OEE improvement project of the Fournier Company.

A historical review of the ways business organizations in the United States have responded to demands that they improve their environmental performance reveals two clear outcomes: firms that effectively institutionalize improved environmental performance can garner significant strategic advantages for their efforts, and firms that do not often suffer severe legal consequences. Thus, institutionalization is a pivotal organizational process which determines whether a firm's environmental performance results in improved operating efficiency and market opportunities or in increased legal and regulatory hassles. In this paper, we use a survey and case-law review to investigate the degree to which improved environmental performance is being institutionalized in US firms and to determine what the potential legal consequences are for firms that fail to achieve such institutionalization. Our findings suggest that firms in US industry have made considerable efforts to institutionalize improved environmental performance, but they still have a long way to go. Unfortunately, our findings also suggest that failing to effectively institutionalize environmental performance has the potential for dire consequences, such as jail terms for strategic managers for environmental violations by subordinates.

A Indústria 4.0 surge com o objetivo de desenvolver fábricas inteligentes, com alto grau de autonomia e flexibilidade, através da adoção de tecnologias digitais de forma integrada nas empresas e suas cadeias de valor. Ao mesmo tempo, a Indústria 4.0 promove benefícios que vão além da performance operacional, como o desenvolvimento de novas ofertas e novos modelos de negócios para as empresas. A Indústria 4.0 é originada na Alemanha, país com alta performance tecnológica, e rapidamente inspira outras iniciativas no mundo inteiro, inclusive em países emergentes como o Brasil. Estes países possuem maiores barreiras para a adoção das tecnologias relacionadas ao conceito, principalmente devido à atual situação tecnológica dos seus parques industriais. Embora a Indústria 4.0 seja um tema crescente na literatura, ainda existem grandes lacunas de estudo sobre a adoção de tecnologias relacionadas ao conceito no contexto de países emergentes, principalmente por se tratar de uma iniciativa recente. Logo, o objetivo desta dissertação é estudar o conceito da Indústria 4.0 no Brasil, de forma a entender quais são os benefícios do conceito para a performance industrial e as tecnologias habilitadoras. O trabalho tem uma abordagem quantitativa, com análises estatísticas aplicadas em dados de pesquisas surveys conduzidas em nível nacional. Os principais resultados obtidos foram: (i) identificação da relação entre as tecnologias e os benefícios esperados do conceito, (ii) identificação de disparidades entre a percepção industrial brasileira e a literatura sobre os benefícios da Indústria 4.0, (iii) identificação da abrangência do conceito da Indústria 4.0, compreendendo elementos que transcendem a manufatura avançada, e (iv) identificação de tecnologias habilitadoras para a implantação do conceito. Sob a perspectiva acadêmica, esta dissertação traz importantes contribuições para o entendimento do conceito e das tecnologias da Indústria 4.0, assim como o impacto destas na performance industrial. Do ponto de vista prático, os resultados auxiliam na compreensão de um tema de alta relevância empresarial, contribuindo com perspectivas para a diretriz estratégica das empresas à Indústria 4.0. / Industry 4.0 arises with the goal to develop smart factories, with advanced autonomy and flexibility, through the adoption of digital technologies in an integrated manner in companies and in their value chains. The Industry 4.0enables benefits beyond operational performance, as the development of new offerings and new business models for companies. Industry 4.0 was developed in Germany, a country with high technological performance, and quickly inspires other initiatives in the whole world, in developed and emergent countries such as Brazil. These countries face major barriers for the adoption of technologies related to the concept, mainly due to the current technological level of their industrial sites. Even though Industry 4.0 is a growing field in literature, there are still considerable gaps of studies about the adoption of technologies related to the concept in the context of emergent countries, mostly due to its novelty. Therefore, this dissertation aims to study the concept of Industry 4.0 in Brazil, in order to understand its benefits for industrial performance and its enabling technologies. This study has a quantitative approach, with statistical analysis of data from national surveys. The main outcomes obtained were: (i) the identification of a relation between technologies and the expected benefits of the concept, (ii) the identification of disparities between Brazilian industrial perception and the literature about Industry 4.0 benefits, (iii) the identification of a wide scope of Industry 4.0 concept, comprising elements that transcends smart manufacturing, and (iv) the identification of enabling technologies for the implementation of the concept. Under academic perspective, this dissertation brings important contributions to understand the Industry 4.0 concept and technologies, and its impact on industrial performance. As practical contributions, the results contribute for the understandings of a high relevant theme for companies, contributing with perspectives for their strategical orientation towards Industry 4.0.

The way firms innovate has notably changed in recent years. A clear example is the manufacturing sector which has been experiencing a new revolution in production and innovation. Linked to this industrial shift, manufacturing firms have been adopting more open and collaborative practices to innovate. This phenomenon, known as Open Innovation (OI), is helping firms to acquire and explore knowledge from external sources (inbound process) and to exploit knowledge via the commercialisation of ideas and technology (outbound process). Even though numerous researchers have studied the adoption of OI and its relation to numerous strategic and organisational results, very few studies have focused on investigating the positive influence of diverse OI approaches and practices on multiple dimensions of firm performance from different angles. These drawbacks hinder the diffusion of OI practices and raise the question of whether it is convenient for any firm in any industry to adopt or not to adopt OI. Thus, this thesis helps to fill this gap by examining the extent to which OI practices are adopted by firms and other actors in unexplored mature manufacturing industries and by understanding the unidentified roles that these practices play in relation to different dimensions of firm and industrial performance.  This thesis brings together different methodologies and data to investigate OI practices with a novel multi-perspective approach. Hence, OI practices are framed within the industrial context of manufacturing firms in Italy and Sweden, several actors in the food industry, small and medium-sized enterprises (SMEs) from the Italian foundry industry, and also within worldwide SMEs designing and producing supercars. More specifically, using data from 247 European manufacturing firms collected through a tailored OI survey, this thesis supports the relevance of internal context characteristics such as firm size and provides evidence of the relation between configurations of OI models and innovation performance. Through two case studies in the food industry, this thesis demonstrates novel forms of OI practices that can be characterised and adopted by different innovation actors within and around this mature industry. Likewise, drawing from 30 rigorous case studies of small and medium-sized foundries, this research for the first time illuminates the relation between the aggregations of some innovation practices (specifically internal R&amp;D and inbound OI) with a contemporarily relevant dimension of environmental and industrial performance such as energy efficiency. Although foregrounding the practical implications of adopting OI practices, this project also investigates and attempts to contrast some of the theoretical perspectives used when researching OI in mature manufacturing industries. This thesis concludes with an integrative study of the main aspects of the research project to demonstrate the advantages of using a multi-perspective approach to study OI. This last study, originally inspired from two case studies of small carmakers, involved collecting data from 48 small and medium-sized manufacturers of supercars with a survey designed to evaluate OI influence on several types of firm performance. Collectively, the results from this thesis confirm the validity of OI in new research contexts and reveal a combined influence of specific innovation practices on innovativeness, but also on the dimensions of industrial, environmental, and social performance. This thesis contributes to theory and practice by empirically showing that even though OI and the results of practicing it are highly context dependent, adopting OI practices can definitely have a positive influence in the overall performance of firms in mature manufacturing industries, including SMEs and other small actors. / Det sätt på vilket företagen innoverar har förändrats märkbart under de senaste åren. Den här situationen syns tydligt inom tillverkningssektorn, som upplever en ny produktions- och innovationsrevolution. Med tanke på detta inför tillverkningsföretagen öppnare och mer samarbetsbaserade metoder. Detta fenomen, benämnt öppen innovation (Open Innovation, OI), hjälper organisationer att förvärva och utforska kunskaper från externa källor (ingående process) och att utforska kunskaper genom kommersialisering av idéer och teknik (utgående process). Även om ett flertal forskare har studerat införandet av OI och hur det hänger samman med olika strategiska och organisatoriska resultat, har endast mycket få studier lagt fokus på att undersöka de positiva effekter som olika former av OI-metoder och -praxis har på flera dimensioner av företagens resultat och ur olika synvinklar. Den här bristen hindrar spridningen av OI-praxis och väcker frågan om huruvida det är fördelaktigt för ett företag i en viss bransch att införa eller inte införa OI. Denna avhandling hjälper till att fylla det här tomrummet genom att undersöka i vilken utsträckning öppen innovationspraxis har införts av företag och andra aktörer i outforskade, mogna tillverkningsbranscher och vilka oidentifierade roller sådan praxis spelar i förhållande till olika dimensioner av företagsresultat och branschresultat. Denna avhandling för samman olika metoder och data för att undersöka OI-praxis ur ett nytt multiperspektiv. Det industriella sammanhanget för studien av OI-praxis är därför tillverkningsföretag i Italien och Sverige, flera aktörer inom livsmedelsindustrin, små och medelstora företag från den italienska gjuteriindustrin samt små och medelstora företag världen över som utformar och tillverkar superbilar. Denna avhandling använder data från 247 europeiska tillverkningsföretag, som samlats in genom en skräddarsydd enkät om öppen innovation, för att bekräfta betydelsen av det interna sammanhangets egenskaper, t.ex. företagets storlek, och lägga fram bevis för relationen mellan OI-modellkonfigurationer och innovationsresultat. Genom två fallstudier inom livsmedelsindustrin visar denna avhandling nya sätt på vilka OI-praxis kan karakteriseras och införas av olika innovationsaktörer inom och omkring den här mogna branschen. Forskningsprojektet utgår även från 30 noggrant genomförda fallstudier av små och medelstora gjuterier för att för första gången belysa relationen mellan samlingar av vissa former av innovationspraxis (nämligen intern FoU och ingående OI) och en samtida relevant dimension av miljö- och branschresultat, t.ex. energieffektivitet. Detta projekt bildar förgrunden till de praktiska följderna av att införa OI-praxis, men undersöker även och försöker kontrastera till några av de teoretiska perspektiv som används vid forskning kring OI i mogna tillverkningsbranscher. Denna avhandling avslutas med en integrerande studie av forskningsprojektets huvudsakliga aspekter för att påvisa fördelarna med att använda en multiperspektivmetod vid studier av OI. Den sista studien, till vilken inspirationen ursprungligen hämtades från två fallstudier av små biltillverkare, innebar insamling av data från 48 små och medelstora tillverkare av superbilar med en enkät avsedd att utvärdera OI:s påverkan på flera typer av företagsresultat. De sammantagna resultaten från denna avhandling bekräftar OI:s giltighet i nya forskningssammanhang och avslöjar en kombinerad effekt av vissa former av innovationspraxis på innovationsförmåga, men även på dimensionerna industriella, miljömässiga och sociala resultat. Avhandlingen bidrar till teori och praktik genom att empiriskt påvisa att även om OI och resultaten av OI-praxis är starkt kontextberoende, kan införande av OI-praxis säkerligen ha ett positivt inflytande på det totala resultatet för företag i mogna tillverkningsbranscher, däribland små och medelstora företag och andra mindre aktörer. / Il modo in cui le imprese stanno innovando è notevolmente cambiato negli ultimi anni. Un chiaro esempio è il settore manifatturiero, che sta reagendo a una nuova rivoluzione nella produzione e innovazione. Collegato a questo cambiamento industriale, le aziende del settore della manifattura stanno acquisendo nuove pratiche più aperte e collaborative per innovare. Questo fenomeno, noto come ‘Open Innovation’ (OI), sta aiutando alle aziende ad acquistare e esplorare le conoscenze dalle fonti esterne (processo ‘inbound’) e di sfruttare la conoscenza tramite la commercializzazione delle idee e delle tecnologie (processo ‘outbound’). Anche se numerosi ricercatori hanno studiato l’adozione della OI e la sua relazione con numerosi risultati strategici ed organizzativi, in pochi studi si sono concentrati sullo studio dell’influenza positiva di diversi approcci e pratiche sulle multipli dimensioni della performance aziendale di diverse angolature della OI. Questi inconvenienti ostacolano la diffusione delle pratiche OI ed evidenziano la questione se è pure conveniente per qualsiasi tipo d’azienda in qualsiasi tipo d’industria adottare o non adottare OI. Così, questa tesi contribuisce a riempire questa lacuna tramite la esaminazione delle misure in cui le pratiche della OI vengono adottate dalle aziende ed altri attori nelle inesplorate industrie mature della manifattura e attraverso la comprensione dei ruoli non identificati che queste pratiche giocano in relazione alle diverse dimensioni della performance aziendale e industriale.   Questa tesi mette insieme le diverse metodologie e i dati ad indagare sulle pratiche della OI con un nuovo approccio multi-prospettico. Quindi, le pratiche OI sono inquadrate nel contesto industriale delle aziende manifatturiere in Italia e in Svezia, i diversi attori nel settore alimentare, le piccole e medie imprese (PMI) del settore della fonderia italiana, e anche nelle PMI di tutto il mondo che disegnano e producono i supercars. In particolare, utilizzando i dati di 247 aziende manifatturiere europee raccolti attraverso un sondaggio, questa tesi sostiene la rilevanza delle caratteristiche del contesto interno come la dimensione della azienda e fornisce la prova della relazione tra configurazioni dei modelli OI e la capacità di innovazione. Attraverso due casi di studio nel settore alimentare, questa tesi dimostra delle nuove forme di pratiche OI che possono essere caratterizzate e adottate dai diversi attori dell’innovazione all’interno ed all’intorno di questo settore maturo. Allo stesso modo, raccolto da 30 rigorosi casi di studio delle piccole e delle medie fonderie, questa ricerca per la prima volta illumina la relazione tra le aggregazioni di alcune pratiche di innovazione (in particolare le pratiche interne di R&amp;S e di OI inbound) con una dimensione contemporaneamente rilevante delle prestazioni ambientali ed industriali quali l’efficienza energetica.   Anche se in primo piano le implicazioni pratiche dell’adozione delle pratiche della OI sono accentate, il progetto indaga anche e cerca di contrastare alcune delle prospettive teoriche utilizzate nella ricerca nelle mature industrie manifatturiere. Questa tesi finisce con uno studio integrativo degli aspetti principali del progetto di ricerca per dimostrare i vantaggi di utilizzare un approccio multi-prospettiva per studiare la OI. Quest’ultimo studio, originariamente ispirato da due casi di studio di piccole case automobilistiche, ha coinvolto la raccolta dei dati provenienti da 48 piccole e medie produttori di supercars tramite un sondaggio per valutare l’influenza dei diversi tipi di performance aziendale. Collettivamente, i risultati di questa tesi confermano la validità di OI in nuovi contesti di ricerca e rivelano una influenza combinata di pratiche d’innovazione specifica su innovazione, ma anche sulle dimensioni della performance industriale, ambientale e sociale. Questa tesi contribuisce alla teoria e alla pratica, che empiricamente mostra che se anche la OI ed i risultati di praticarla sono molto dipendenti dal contesto, l’adozione delle pratiche OI può sicuramente avere un effetto positivo nelle prestazioni complessive delle aziende nella industria manifatturiere matura, comprese le PMI ed altri piccoli attori. / <p>This thesis is produced as part of the EMJD Programme <em>European Doctorate in Industrial Management (EDIM) </em>funded by the European Commission, Erasmus Mundus Action 1.</p><p>EDIM is run by a consortium consisting of the industrial management departments of three institutions.</p><p>•KTH Royal Institute of Technology, Stockholm, Sweden</p><p>•Politecnico de Milano, POLIMI, Milan, Italy</p><p>•Universidad Politécnica de Madrid, UPM, Madrid, Spain</p><p>QC 20160128</p> / European Doctorate in Industrial Management

La maîtrise des risques est un enjeu majeur pour les entreprises. Loin d’être l’apanage des seules catastrophes naturelles, les perturbations des chaînes logistiques actuelles peuvent parfois être causées par des événements mineurs amplifiés par les failles d’organisations industrielles de plus en plus complexes. Nombreux sont les exemples de ces perturbations avec des conséquences économiques graves.La gestion des risques dans les chaines logistiques est un thème récent et les méthodes et outils actuels ne répondent pas encore totalement aux préoccupations des gestionnaires de ces chaînes logistiques. Une grande aide peut être apportée par la simulation des événements affectant les chaînes. Cependant malgré son efficacité pour couvrir la complexité de la chaîne, la simulation reste encore difficile à mettre en œuvre, notamment dans les phases de création et d’exploitation des modèles.Le but de cette thèse est de faciliter l’utilisation de la simulation pour l’analyse des risques dans les chaines logistiques. Ainsi, nous avons développé un référentiel de modélisation pour la simulation qui permet d’assurer une construction facile des modèles de la structure, du comportement et des risques inhérents aux chaines logistiques. Ce référentiel est bati sur un ensemble de metamodèles et de bibliothèques adaptés à la définition de chaînes logistiques et définis sur la base du référentiel SCOR. Ajouté à cela, nous avons proposé un guide de traduction permettant le passage d’un modèle conceptuel de chaîne logistique vers un modèle de simulation permettant de tester les scénarios de risque. Une bibliothèque de modules de simulation a été proposée pour accompagner ce passage. Une étude de cas a été menée pour tester et valider partiellement l’approche proposée. / Controlling risks is an important issue for companies. Far from being only the prerogative of natural disasters, the disruptions of today's supply chains can sometimes be caused by minor events amplified by the flaws of increasingly complex industrial organizations, causing severe economic losses.Risk management in supply chains is a recent theme and the proposed solutions are not yet able to meet the needs of practitioners. One of the solutions to analyse risks is using simulation. But, despite its effectiveness to cover the complexity of the chain, it still presents a major weakness which is the difficulty of implementation.The aim of this thesis is to facilitate and to adapt the simulation for risk analysis of supply chains. Thus, we have developed a modeling framework for simulation which enables an easy construction of models of supply chain structure, behavior and if the associated risks. This is done through the proposition of a set of meta-models and libraries, defined on the basis of the SCOR reference model. In addition, we proposed a translation guide for the translation of the conceptual model of supply chains into a simulation model and enabling testing risk scenario. Additionaly, we developed a library of simulation modules.A case study was conducted and the results show the relevance of the proposed approach.