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Record W2525757758

Méthode de génération d’alternatives de processus d’affaires au sein d’une pme du secteur aéronautique au Québec

2015· article· fr· W2525757758 on OpenAlexaboutno aff
Thibault Hamon

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2015
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicBusiness Process Modeling and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsD bandPolitical sciencePhysicsOptics
DOInot available

Abstract

fetched live from OpenAlex

RESUME : Les PME du secteur de l’industrie aerospatiale sont soumises a des pressions importantes des grands donneurs d’oeuvre qui souhaitent obtenir des gains continus de productivite. Ces pressions se materialisent par des demandes de collaborations plus etroites, d'echange d'information plus soutenu, de prise en charge d'un plus grand eventail d'activites de production et par des reductions des temps de cycle (CEFRIO, 2014). Pour repondre a ces pressions, les PME de ce secteur ont pour la plupart entrepris des programmes de transformation de leurs processus d’affaires. L’objectif commun de ces projets est de gagner en performances operationnelles. Il existe deux grands types de transformation : les projets d'amelioration continue, connus sous le nom de BPI (Busines Process Improvement) qui s’interessent a des changements incrementaux dans les processus, et les projets de reingenierie, appeles aussi BPR (Business Process Reengineering), qui favorisent plutot des changements radicaux, avec une refonte complete des processus. Dans les deux cas, il existe de nombreuses methodologies dans la litterature qui permettent de mener a bien ces projets de transformations. Cependant, elles ne sont pas adaptees aux PME, car elles demandent des ressources importantes. C’est d’autant plus vrai pour les methodologies de BPR qui sont reputees pour necessiter plus d’organisation, de temps et de ressources financieres (Kettinger et al., 1997). De plus, ces methodologies sont non explicites (Lemieux et al. 2013; Zellner, 2011) et la determination d’alternatives de processus d’affaires, qui correspond au passage du processus actuel au processus futur, est peu detaillee dans ces methodologies. Ainsi, pour transformer un processus, il faut generer de nouvelles idees de processus. Pour cela, il faut agir sur les activites ou la structure d’activites, les roles associes ou encore sur les intrants ou extrants. Il est aussi possible de developper d’autres techniques et outils pour supporter ces activites. Ces outils peuvent etre des systemes d’informations qu’il est possible de changer ou d’implanter pour supporter des activites d’un processus. Cependant, il est necessaire d’avoir des connaissances sur les alternatives de facons de faire. Dans certaines organisations, des personnes manquent de ces connaissances, c’est souvent le cas dans les PME. Elles demandent alors de l’aide a des consultants ou des vendeurs de progiciels. Ces personnes ne sont plus maitres de leurs transformations de processus. Les nouveaux processus dependent alors essentiellement de la selection du systeme d’information. Mais meme si ces systemes d’informations peuvent etre nombreux, les dirigeants des PME n’en connaissent generalement que quelques-uns et dans le cas d’un consultant, il privilegiera une solution avec laquelle il a deja travaille. Finalement, la selection est effectuee sur un petit nombre de progiciels, l’etude est restreinte et la qualite du processus final n’est pas optimale. Comme reponse a ces limites et aux possibilites de recherches qu’elles apportent, ce memoire propose une methode de generation d’alternatives de processus d’affaires adaptees au contexte des PME, qui s’insere dans un projet de BPR et qui encadre le processus de selection d’un systeme d’information. Cette methode est decoupee en deux grandes phases, la premiere etant un diagnostic du fonctionnement actuel et la seconde une definition du processus futur. La methode proposee est appliquee dans une PME du secteur aerospatial. Des observations par le chercheur ont eu lieu sur le terrain afin d’etablir un diagnostic et de selectionner un processus a reconcevoir. Ce processus a tout d’abord ete modelise. Ensuite, les besoins actuels et futurs de la compagnie ont ete definis et confirmes. Par la suite, une identification des solutions techniques qui peuvent repondre aux besoins a eu lieu. Enfin, les processus futurs ont ete construits avec ces solutions et ils seront evalues prochainement. Finalement, meme si l’application de la methode n’est pas terminee dans la compagnie, le modele semble accessible aux PME grâce aux faibles ressources requises. Elle permet notamment de faire apparaitre clairement une structure d’activites liee avec les intrants, extrants et les roles a mettre en place avec chacune des solutions etudiees.----------ABSTRACT : SMEs in the aerospace industry are facing important pressure from major OEMs. These firms seek continuous productivity gains which are translated to their suppliers by increasing information exchange, wider range of activities, and reduce cycle time (CEFRIO, 2014). To meet those expectations, SMEs from this sector have launched numerous business process transformation programs. As such, we note two major types of transformation: BPI projects focus on incremental changes in processes whereas BPR methods aims at changing the whole process. Methods supporting these projects, either they are BPR or BPI, are numerous but are not adapted to SMEs as important resources are needed from the organization. This is more critical in the case of BPR methods which are known to ask for more time and financial resources than BPI initiatives (Kettinger et al., 1997). In addition, the determination of future business processes within BRP methodology is not supported by any formal tools or techniques. Thus, to transform a process it’s necessary to generate new process ideas. To do so, there is a need to act on activities or activities structure, associated roles or on inputs or outputs. It is also possible to develop others technics and tools to support these activities. These tools can take the form of information systems which are likely to be changed or implanted so as to support activities of a process. However, knowledge about alternatives ways of proceeding is needed. A lack of knowledge is observed in some organizations, and it is often the case in SMEs. They ask consultants or software package sellers for help. They no longer control their processes transformations anymore. The new processes essentially rests upon the selection of the information system. But even if there are numerous information systems, SMEs leaders only know a few and consultants will give priority to a solution they are familiar with. Finally, the selection is based on a small number of software packages, the study is restricted and the quality of the final process is not optimum. As an answer to these limits and to the research possibilities they bring up, this dissertation proposes a methodology for generating alternative business processes adapted to SMEs, which is part of a BPR project and that constraints the information system selection process. This methodology is split in two phases; the first one is the diagnostic of the current business process and the second is the to-be process definition. This proposed methodology is applied in a SME of the aeronautic industry. Observations from the main researcher gathered in situ making possible diagnosis and the selection of a process to redesign. This process was modeled and the current and future needs of the company was performed and confirmed. Next, an identification of the technical solutions that could satisfy the need was performed. At last, future processes were built according to these solutions and will be evaluated soon. Finally, even if the application of the methodology is not completed in the company, the model seems to complete the limits of the literature and is accessible to SMEs thanks to the few needed resources and to a visual methodology that brings up a structure of activities linked with the inputs, outputs and roles.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.772
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.243
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2015
Admission routes1
Has abstractyes

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