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In this project-thesis, we study the material overconsumption from Shur-Lok International, a subsidiary company from the PCC group. We use the DMAIC (Define, Measure, Analyse, Improve and Control) project management technique combined to the 7 basic quality tools for processes improvement in order to conduct our approach. Quickly, the company’s poor data quality prevents us from going further. As a result, we decide to take a step back from the original project in order to improve the data quality.
Thus, we represent the company’s processes using flowcharts in order to identify the steps at which the data quality is corrupted. Afterwards, we use the FMEA (Failure Mode Effects Analysis) technique to get a priority list from the failure mode’s risk priority number. 
Once the failure modes with a risk priority number above the acceptable threshold are identified, we define guidelines to prevent the failure modes to occur. The guidelines are built in association with the manufacturing workforce in order to come up with practical solutions. We had the opportunity to implement some of these guidelines and, as planned, they appear to improve the company’s data quality concerning the material overconsumption.
Afterwards, we explain how the material overconsumption study should be resumed once the company will obtain reliable data. Finally, we present our beliefs regarding the impact of the data quality improvement on the analysis and we explain why it is important for the company to carry on these improvements and the study of material overconsumption.

material overconsumption --- DMAIC --- 7 basic quality tools --- data quality improvement --- flowchart --- FMEA --- Sciences économiques & de gestion > Finance

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After multiple fruitless attempts at creating performance management tools allowing to assess its
performance towards major corporate objectives, Brunswick Marine in EMEA, regional
headquarters of the American firm Mercury Marine, decided to get an external perspective on the
topic.
This project thesis report is the result of a project aiming at improving Brunswick Marine in
EMEA’s Strategic Performance Management System. The aim of the project was to define a
process for strategic performance management in the company, while making use of Business
Intelligence tools for effective reporting and automation.
Indeed, its previous tools were abandoned relatively rapidly due to their lack of integration in the
company’s standard performance review processes and their complex maintenance.
Following a Lean Six Sigma project management approach, a standard theoretical process for
Strategic Performance Management was first defined. This process was then used as a reference
to both identify the root causes of the previous models’ failures and prioritize our solutions.
Based on this analysis, strategy communication models were built to allow the company to cascade
its strategy into objectives that would rationalize the choice of Key Performance Indicators. Some
of the identified metrics were then implemented in Microsoft Power BI to showcase the benefits
offered by the tool to the whole process.
The resulting process from the proof of concept developed during the project would help the
organization have a transversal perspective on business performance and turn data into knowledge,
fostering decision-making.

Performance Management, Strategic Performance, Balanced Scorecard, Strategy Map, Key Performance Indicators, World Class Manufacturing, Business Intelligence, Lean Six Sigma, DMAIC --- Sciences économiques & de gestion > Gestion de l'entreprise & théorie des organisations

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This Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019) has been launched as a joint issue of the journals Applied Sciences and Materials. The 10 contributions published in this Special Issue of Applied Sciences present cutting-edge advances in the field of manufacturing engineering, focusing on production planning, sustainability, metrology, cultural heritage, and materials processing, with experimental and numerical results. It is worth mentioning that the topic “production planning” has attracted a great number of contributions in this journal, due to their applicative approach.

History of engineering & technology --- 2D positioning control --- nanopositioning --- Halbach linear motors --- positioning uncertainty --- hyperspectral imaging --- pigment analysis --- cultural heritage --- conservation --- cultural management --- visual enhancement --- rock art --- cartography --- 3D printing --- additive manufacturing --- fused deposition modeling (FDM) --- minor surgery --- primary care --- surgical training --- initial population --- data mining --- multi-variety --- machine learning --- production planning --- capacity planning --- digital twin --- forecasting --- viable system model --- simulation --- system dynamics --- customer demand --- demand planning --- automotive --- military logistics --- lean management --- DMAIC --- VSM-VSD --- engineer-to-order --- order management process --- production planning and control --- maintenance management --- order-to-delivery --- agent-based simulation --- metallurgical industry --- Inconel 718 --- Inco718 --- springback --- bauschinger --- autoform --- stack drilling --- CFRP/CFRP laminates --- multiple sensor monitoring --- tool wear evaluation --- dry turning --- surface roughness --- microhardness --- UNS A97075 --- aluminum alloys --- forming --- machining --- metrology --- technological and industrial heritage --- industry 4.0 --- green manufacturing

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This Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019) has been launched as a joint issue of the journals Applied Sciences and Materials. The 10 contributions published in this Special Issue of Applied Sciences present cutting-edge advances in the field of manufacturing engineering, focusing on production planning, sustainability, metrology, cultural heritage, and materials processing, with experimental and numerical results. It is worth mentioning that the topic “production planning” has attracted a great number of contributions in this journal, due to their applicative approach.

History of engineering & technology --- 2D positioning control --- nanopositioning --- Halbach linear motors --- positioning uncertainty --- hyperspectral imaging --- pigment analysis --- cultural heritage --- conservation --- cultural management --- visual enhancement --- rock art --- cartography --- 3D printing --- additive manufacturing --- fused deposition modeling (FDM) --- minor surgery --- primary care --- surgical training --- initial population --- data mining --- multi-variety --- machine learning --- production planning --- capacity planning --- digital twin --- forecasting --- viable system model --- simulation --- system dynamics --- customer demand --- demand planning --- automotive --- military logistics --- lean management --- DMAIC --- VSM-VSD --- engineer-to-order --- order management process --- production planning and control --- maintenance management --- order-to-delivery --- agent-based simulation --- metallurgical industry --- Inconel 718 --- Inco718 --- springback --- bauschinger --- autoform --- stack drilling --- CFRP/CFRP laminates --- multiple sensor monitoring --- tool wear evaluation --- dry turning --- surface roughness --- microhardness --- UNS A97075 --- aluminum alloys --- forming --- machining --- metrology --- technological and industrial heritage --- industry 4.0 --- green manufacturing --- 2D positioning control --- nanopositioning --- Halbach linear motors --- positioning uncertainty --- hyperspectral imaging --- pigment analysis --- cultural heritage --- conservation --- cultural management --- visual enhancement --- rock art --- cartography --- 3D printing --- additive manufacturing --- fused deposition modeling (FDM) --- minor surgery --- primary care --- surgical training --- initial population --- data mining --- multi-variety --- machine learning --- production planning --- capacity planning --- digital twin --- forecasting --- viable system model --- simulation --- system dynamics --- customer demand --- demand planning --- automotive --- military logistics --- lean management --- DMAIC --- VSM-VSD --- engineer-to-order --- order management process --- production planning and control --- maintenance management --- order-to-delivery --- agent-based simulation --- metallurgical industry --- Inconel 718 --- Inco718 --- springback --- bauschinger --- autoform --- stack drilling --- CFRP/CFRP laminates --- multiple sensor monitoring --- tool wear evaluation --- dry turning --- surface roughness --- microhardness --- UNS A97075 --- aluminum alloys --- forming --- machining --- metrology --- technological and industrial heritage --- industry 4.0 --- green manufacturing

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Most real-world search and optimization problems naturally involve multiple criteria as objectives. Generally, symmetry, asymmetry, and anti-symmetry are basic characteristics of binary relationships used when modeling optimization problems. Moreover, the notion of symmetry has appeared in many articles about uncertainty theories that are employed in multi-criteria problems. Different solutions may produce trade-offs (conflicting scenarios) among different objectives. A better solution with respect to one objective may compromise other objectives. There are various factors that need to be considered to address the problems in multidisciplinary research, which is critical for the overall sustainability of human development and activity. In this regard, in recent decades, decision-making theory has been the subject of intense research activities due to its wide applications in different areas. The decision-making theory approach has become an important means to provide real-time solutions to uncertainty problems. Theories such as probability theory, fuzzy set theory, type-2 fuzzy set theory, rough set, and uncertainty theory, available in the existing literature, deal with such uncertainties. Nevertheless, the uncertain multi-criteria characteristics in such problems have not yet been explored in depth, and there is much left to be achieved in this direction. Hence, different mathematical models of real-life multi-criteria optimization problems can be developed in various uncertain frameworks with special emphasis on optimization problems.

Information technology industries --- multiple-criteria decision-making --- underground mines --- mining methods --- expert knowledge --- failure mode and effects analysis --- solar panel systems --- step-wise weight assessment ratio analysis --- grey relational analysis --- Z-number theory --- B2C e-commerce factors --- website --- MCDM --- Fuzzy AHP --- TOPSIS-Grey --- China --- IoT --- platform selection --- multi criteria decision analysis (MCDA) --- AHP --- PROMETHEE-II --- Industry 4.0 --- data envelopment analysis --- conjoint analysis --- experimental design --- criteria importance --- weight restrictions --- subjective and objective teacher efficiency --- multi-objective planning --- reverse supply chain --- robust optimization --- uncertainty --- meta-heuristic algorithm --- steel making industry --- fuzzy PIPRECIA --- fuzzy EDAS --- railway --- multi-criteria decision-making --- transport policy --- Six Sigma (6σ) --- DMAIC --- vehicle fleet --- optimization --- text mining --- Multi-Attribute Decision Making (MADM), criteria selection --- weighting --- Prospective MADM --- Latent Semantic Analysis (LSA) --- SIMUS --- decision tree --- transport plan --- Laplace’s criterion --- Hurwitz’s criterion --- q-rung orthopair fuzzy numbers --- q-rung orthopair fuzzy prioritized weighted average operator --- q-rung orthopair fuzzy prioritized weighted geometric operator --- green supply chain management --- fuzzy theory --- sustainable development --- SCOR model --- FAHP --- PROMETHEE II --- textile and garments industry --- sustainable supplier selection --- MCDA --- efficiency --- DEA --- SFA --- classification --- dimensionality reduction --- q-ROFNs --- Einstein operators --- prioritized aggregation operators --- multi-criteria group decision making --- hazardous materials --- vehicle route model (VRP) --- uncertainty theory --- chance constrained programming model --- hybrid intelligent algorithm --- linear Diophantine fuzzy set --- linear Diophantine fuzzy soft rough set --- soft rough linear Diophantine fuzzy set --- upper reduct and lower reduct --- core set --- multi-criteria decision making --- q-Rung orthopair fuzzy sets --- geometric aggregation operators based on generalized and group-generalized parameters --- water loss management --- decision making --- intuitionistic fuzzy sets --- the COMET method --- service quality --- fuzzy set --- Jensen–Shannon divergence --- shapley function --- TODIM --- port-hinterland transportation system --- bi-objective programming --- intermodal transportation --- carbon emissions --- uncertain demand --- distributionally robust --- chance constraint --- Yangtze River Economic Belt --- multi-criteria decision-analysis --- MCDA benchmark --- normalization --- entropy --- decision-making methods --- multi-criteria problems --- evolutionary algorithms --- machine learning --- fuzzy logic --- uncertain data --- consistency weights --- fuzzy preference relation (FPR) --- hesitant fuzzy preference relation (HFPR) --- Łukasiewicz consistency --- normal hesitant fuzzy preference relation (NHFPR) --- multiple criteria decision-making (MCDM) --- outsourcing provider --- DEMATEL --- CRITIC --- TOPSIS --- comparison measure --- representation --- disjoint --- multiplicative preference relation (MPR) --- group decision-making (GDM) --- incomplete fuzzy preference relation (IFPR) --- TL-consistency --- cubic m-polar fuzzy set --- Dombi’s operations --- cubic m-polar fuzzy aggregation operators with P-order (R-order) --- SIR technique --- complex networks --- social networks --- viral marketing --- information propagation --- crisp probability --- interval probability --- influence diagrams --- circuit breakers --- granular computing --- interval-valued --- intuitionistic fuzzy set --- multiple granulation --- ordered information system --- multiple-criteria decision-making --- underground mines --- mining methods --- expert knowledge --- failure mode and effects analysis --- solar panel systems --- step-wise weight assessment ratio analysis --- grey relational analysis --- Z-number theory --- B2C e-commerce factors --- website --- MCDM --- Fuzzy AHP --- TOPSIS-Grey --- China --- IoT --- platform selection --- multi criteria decision analysis (MCDA) --- AHP --- PROMETHEE-II --- Industry 4.0 --- data envelopment analysis --- conjoint analysis --- experimental design --- criteria importance --- weight restrictions --- subjective and objective teacher efficiency --- multi-objective planning --- reverse supply chain --- robust optimization --- uncertainty --- meta-heuristic algorithm --- steel making industry --- fuzzy PIPRECIA --- fuzzy EDAS --- railway --- multi-criteria decision-making --- transport policy --- Six Sigma (6σ) --- DMAIC --- vehicle fleet --- optimization --- text mining --- Multi-Attribute Decision Making (MADM), criteria selection --- weighting --- Prospective MADM --- Latent Semantic Analysis (LSA) --- SIMUS --- decision tree --- transport plan --- Laplace’s criterion --- Hurwitz’s criterion --- q-rung orthopair fuzzy numbers --- q-rung orthopair fuzzy prioritized weighted average operator --- q-rung orthopair fuzzy prioritized weighted geometric operator --- green supply chain management --- fuzzy theory --- sustainable development --- SCOR model --- FAHP --- PROMETHEE II --- textile and garments industry --- sustainable supplier selection --- MCDA --- efficiency --- DEA --- SFA --- classification --- dimensionality reduction --- q-ROFNs --- Einstein operators --- prioritized aggregation operators --- multi-criteria group decision making --- hazardous materials --- vehicle route model (VRP) --- uncertainty theory --- chance constrained programming model --- hybrid intelligent algorithm --- linear Diophantine fuzzy set --- linear Diophantine fuzzy soft rough set --- soft rough linear Diophantine fuzzy set --- upper reduct and lower reduct --- core set --- multi-criteria decision making --- q-Rung orthopair fuzzy sets --- geometric aggregation operators based on generalized and group-generalized parameters --- water loss management --- decision making --- intuitionistic fuzzy sets --- the COMET method --- service quality --- fuzzy set --- Jensen–Shannon divergence --- shapley function --- TODIM --- port-hinterland transportation system --- bi-objective programming --- intermodal transportation --- carbon emissions --- uncertain demand --- distributionally robust --- chance constraint --- Yangtze River Economic Belt --- multi-criteria decision-analysis --- MCDA benchmark --- normalization --- entropy --- decision-making methods --- multi-criteria problems --- evolutionary algorithms --- machine learning --- fuzzy logic --- uncertain data --- consistency weights --- fuzzy preference relation (FPR) --- hesitant fuzzy preference relation (HFPR) --- Łukasiewicz consistency --- normal hesitant fuzzy preference relation (NHFPR) --- multiple criteria decision-making (MCDM) --- outsourcing provider --- DEMATEL --- CRITIC --- TOPSIS --- comparison measure --- representation --- disjoint --- multiplicative preference relation (MPR) --- group decision-making (GDM) --- incomplete fuzzy preference relation (IFPR) --- TL-consistency --- cubic m-polar fuzzy set --- Dombi’s operations --- cubic m-polar fuzzy aggregation operators with P-order (R-order) --- SIR technique --- complex networks --- social networks --- viral marketing --- information propagation --- crisp probability --- interval probability --- influence diagrams --- circuit breakers --- granular computing --- interval-valued --- intuitionistic fuzzy set --- multiple granulation --- ordered information system