Con base en el estudio del sector armamentístico, podemos definir la gestión de mantenimiento como uno de los problemas más relevantes dentro de su cadena de producción. La deficiente planificación y los errores en las entregas de pedidos a tiempo afectan en gran medida la eficacia de la empresa y su retorno de inversión. Por tal motivo, surge la necesidad de encontrar soluciones que permitan el crecimiento del sector armamentístico peruano y metalmecánico. La presente investigación propone una solución basada en las herramientas TPM y Spare Parts Management que permitirán una buena gestión del flujo de actividades de mantenimiento preventivo o correctivo, gestionar eficientemente el movimiento de los repuestos y su respectiva ubicación e inventarios en el proceso de ingreso de nuevos repuestos, eliminar los desperdicios innecesarios y controlar de manera óptima los repuestos de las máquinas. La empresa en estudio es una empresa con régimen estatal, pero con dirección privada, la cual presenta problemas en su gestión de mantenimiento, debido al exceso de paradas inesperadas y atascos, alta producción de productos no conformes y baja eficacia de producción de municiones a tiempo. Esta propuesta logró incrementar la eficacia de la producción de casquillos y balas en un 6.99% pasando de un 66.52% a 73.51%. / Based on the study of the arms sector, we can define maintenance management as one of the most relevant problems within its production chain. Poor planning and errors in order delivery on time greatly affect the efficiency of the company and its return on investment. For this reason, the need arises to find solutions that allow the growth of the Peruvian arms and metalworking sector. The present investigation proposes a solution based on the TPM and Spare Parts Management tools that will allow a good management of the flow of preventive or corrective maintenance activities, efficiently manage the movement of spare parts and their respective location and inventories in the process of entering new spare parts, eliminate unnecessary waste and optimally control machine spare parts. The company under study is a company with a state regime, but with private management, which presents problems in its maintenance management, due to the excess of unexpected stops and jams, high production of non-conforming products and low efficiency of ammunition production on time. . This proposal managed to increase the efficiency of the production of casings and bullets by 6.99%, going from 66.52% to 73.51%. / Trabajo de Suficiencia Profesional

Background Companies which operate within heavy equipment are highly dependent on a continuous spare part stream to minimise their production downtime. The disruption of the pandemic known as Covid19 has brought the global supply chain to its knee, and countless companies have been affected by the global supply shortage. One of such industries is heavy equipment which comprises heavy-duty vehicles, large equipment, large-scale infrastructure, intricate or numerous processes with high operation cost and a unique set of challenges. Consequently, the demand for spare parts within heavy equipment can be extremely unpredictable and erratic, since the life cycle of machinery is connected to systems owned by the customers and its applications. Therefore, understanding the heavy equipment industry could allow for new innovative ways for managing spare part challenges. One of the methods for solving spare part challenges in other industries according to previous research has been the utilisation of additive manufacturing (AM).The AM technology is based on incremental layer-by-layer manufacturing compared to conventional manufacturing (CM) which mostly depend on subtractive manufacturing processes. Research questions RQ1: What are the challenges within the heavy equipment industry regarding spare part management? RQ2: How can the heavy equipment industry utilise additive manufacturing to overcome challenges surrounding spare parts management? Method The literature review comprised of the identification of spare part management challenges surrounding heavy equipment, the capabilities of AM surrounding spare parts as well as optimisation methods for existing parts with AM. Whereas the interviews consisted of two sets of interview groups (i.e., heavy equipment and AM based companies). Lastly, the experiment consisted of validating gathered data as well as identifying AMs capabilities based on a physical object (i.e., lifting bracket). Findings The findings show the existing spare part management challenges within heavy equipment are related to four dimensions namely: warehousing, cost, lead times and the environment.Whereas the findings surrounding AMs capabilities for mitigating spare part management challenges showed that, AM enable the production of low volume parts with low lead time replenishment. This could minimise overall waste within the heavy equipment industry, where central warehousing could be reduced as well as the total lead time for customers.

Inventory management is a complex system which involves different stakeholders from multiple areas in a company which creates a limitation when seeking information between involved staff. Having the right procedure of tracking regular and critical spare parts will give a better control and efficiency in the production process. It is important to have the right classification method to facilitate critical spare parts. The incorrect criteria classification can be achieved in case inventory management have the wrong systematic procedure. Classification methods have different purposes and achieve the highest utilization by combining a variety of methods. By integrating classification methods, set limits and combination of multiple criteria decision analysis can be performed. The study has conducted a case study to compare and evaluate the performance of inventory management in a trustworthy and efficient way. A theoretical framework is constructed with the intention on identify which classification methods can be combined and applied to a production factors criterion. Based on interviews with stakeholders from maintenance, warehouse, and production area related to spare parts and the company’s software system. Two perspectives were used to map the qualitative and quantitative measures. The results show 14 criteria were defined as parameters that measure the performance of criticality in spare parts. The conclusion of both perspectives suggests combining and implement an integration of AHP and ABC classification methods. A proof of concept is demonstrated on AHP analysis and ABC analysis to identify the critical spare parts and the criteria.

Globalization has increased the complexity of the business world, as it adds new dimensions to companies’ operations, such as global suppliers and customers, and competition from global actors. To handle the complexity, companies are pressured to become more data-driven to be able to measure and align their operations, and create possibilities for efficiency and competitiveness [Skjott-Larsen etal., 2007; Long, 2018]. In order to enable the change towards becoming more data-driven, companies need to rethink the structure of their organization. Matrix structures have gained popularity, since it allows companies to focus on more than one dimension by creating functional teams focused on specific tasks [Sy et al., 2005]. However, it is not uncommon that the functional groups becomes functional silos, with an inward focus on the own groups’ performance, leading to decreased understanding of other groups and poor communication between groups. A lack of understanding of other groups can lead to a reactive, rather than proactive, way of handling problems [Motiwalla and Pearson, 2009]. The purpose of this project is to create a process that can be used to facilitate proactive work in adata-driven matrix organization struggling with a reactive way of handling problems. The process can be used as a way to decide between possible solutions in decision-making processes, while making sure that any affected department is involved at an early stage in the decision-making process. At Alfa Laval’s distribution center (DC) in Tumba, they are facing the challenges of functional silos and reactive work. The organization is data-driven, why a lot of decisions are based on data. However, the best decision according to the data is not always feasible, which has lead to decisions being made that affects other departments negatively. Based on data from and observations made at the DC, a processwas created. The process was iterated and improved through application to real-life problems and point of improvements identified at DC Tumba. While it is based on the operations at Alfa Laval, it canbe applied to any organization facing similar challenges. The final version of the process proved to deliver good solutions to problems by involving stakeholders early on in the process, making it possible for them to influence how the solutions should be adjusted in order to avoid the changes affecting their daily work negatively. The most important conclusion is that important stakeholder departments should be involved earlyin decision-making processes. That way, their valuable competence and knowledge can be utilized when identifying possible solution, and any negative effects of a solution on another departments can be discovered before implementation. In addition, by taking the time to thoroughly analyze the root cause and effects to a problem, the understanding of the chain can increase. / Globalisering har ökat komplexiteten av affärsvärlden, då ytterligare dimensioner måste tas hänsyn till i företags verksamheter, så som globala leverantörer och kunder, och ökad konkurrens från globala aktörer. För att hantera komplexiteten blir företag mer datadrivna, för att kunna mäta och samordna sin verksamhet och skapa möjligheter för effektivitet och konkurrenskraftighet [Skjott-Larsen et al.,2007; Long, 2018]. För att möljiggöra ett skifte mot att bli mer datadriven, måste företag se över sin organisationsstruktur. Matrisstrukturer har ökat i popularitet då de möjliggör att företag kan fokusera på fler än en dimensioner samtidigt genom att skapa funktionella grupper fokuserade på specifikauppgifter [Sy et al., 2005]. Dock är det inte ovanligt att funktionella grupper förvandlas till funktionella silos, med ett inåtriktat fokus på den egna gruppens prestationer, vilket leder till minskad förtåelse och bristfällig kommunikation grupper emellan. Bristande förståelse för andra grupper kan leda till ett klimat där problem hanteras reaktivt snarare än proaktivt [Motiwalla and Pearson, 2009]. Syftet med detta projekt är att skapa en process som kan användas för att underlätta proaktivt arbetet i en datadriven organisation där problem hanteras reaktivt. Processen kan användas som ett hjälpmedel för att välja den bästa av flera möjliga lösningar, samtidigt som påverkade avdelningar involveras i ett tidigt stadium av beslutsprocessen. På Alfa Lavals distributionscenter (DC) i Tumba, finns utmaningar med funktionella silos och reaktivt arbete. Organisationen är datadriven, och beslut fattas baserat på data. Dock är inte alltid beslut som baserats på data rimliga, vilket har lett till att beslut tas som påverkar andra avdelningar negativt. Baserat på data från och observationer på DCt, skapades en preliminär process. Processen itererades och förbättrades sedan genom att appliceras på verkliga problem och förbättringsområden som identifierades på DC Tumba. Även om processen togs fram och baserades på Alfa Lavals verksamhet, kan den appliceras på andra organisationer som står inför samma utmaningar. Den slutgiltiga versionen av processen visade sig generera bra lösningar till problemen genom att involvera intressenter tidigt i processen, vilket gav dem möjligheten att påverka hur den rekommenderade lösningen skulle justeras för att undvika att dereas dagliga arbete skulle påverkas negativt. Den viktigaste slutsatsen är att det är viktigt att involvera intressentavdelningar i ett tidigt skede i beslutsfattandeprocesser. På så sätt kan deras värdefulla kompetens och kunskaper nyttjas när potentiella lösningar till ett problem genereras, och negativa effekter från lösningen på andra avdelningar kan upptäckas innan implementering. Att dessutom noggrant analysera roten till problemet och dess effekter kan leda till att förståelsen för hela kedjan ökar.

Major drivetrain components of the Epiroc machines like axles, gearboxes, transmission, torqueconverter, clutch, and bearings are critical components which are focused upon in this thesis. Failure of these major component results in breakdown of the vehicle and if early fault detection is not existing, then this causes engineers and technicians to spend a substantial amount of time to identify the root cause of the failure. Due to this, the machine stands still until the problem is identified and repaired creating a negative impact on customer satisfaction. Thus, failure of these components results in costly downtime. Ways of improving the uptime of the machine have been an ongoing discussion due to costly downtime subjected to component failure. To improve uptime, reduce MTTR, and create acompetitive edge, a drivetrain sensor system is suggested to implement in this thesis that will monitor real-time operating data from these drivetrain components. In this way, the health of the drivetrain will be continuously monitored and if there is any degrade planned maintenance can be scheduled well in advance and spare parts inventory can be managed more efficiently. In addition, this will generate competitiveness for Epiroc products in the market. Epiroc being in competitive business, continuously aims to improve its products and services to satisfy customer needs, improve total cost of ownership, life cycle cost, and increase sales and profit. Epiroc is a leading productivity partner for the mining, infrastructure, and natural resource industries. It develops and manufactures innovative drilling rigs, quarrying, and construction equipment with state-of-the-art technology and provides world-class service and consumables. / Epiroc bedriver konkurenskraftiv verksamhet. Målet är att kontinuerligt förbättra sina produkter och tjänster för att tillgodose kundernas behov, förbättra den totala ägandekostnaden, livscykelkostnaden samt att öka försäljningen och vinsten. Epiroc är en ledandeproduktivitetspartner för gruv-, infrastruktur- och naturresursindustrin. Det utvecklar och tillverkar innovativa borriggar, stenbrott- och byggutrustning med toppmodern teknik och tillhandahåller service och förbrukningsvaror i världsklass. Att förbättra maskinens drifttid har alltid varit en kontinuerlig diskussion på grund av kostsamma stopp som orsakats av komponentfel. Om det uppstår större komponentfel som leder till att fordonet går sönder ochtidig feldetektering inte existerar, leder detta till att ingenjörer och tekniker måste spendera mycket tid på att identifiera orsaken till felet. På grund av detta står maskinen stilla tills problemet identifieras och repareras vilket skapar en negativ inverkan på kundnöjdheten. Viktiga drivkomponenter som axlar, växellådor, transmission, vridmomentomvandlare, koppling och lager är exempel på sådana kritiska komponenter vars fel resulterar i kostnadstopp. För att förbättra drifttiden, minska MTTR och skapa en konkurrensfördel för Epiroc-produkter, presenteras ett drivsystemsensorsystem i denna rapport som möjliggör övervakning av realtidsdata från dessa drivlinekomponenter. På detta sätt övervakas drivlinanshälsa kontinuerligt och om det uppstår någon försämring kan planerat underhåll planeras i godtid och reservdelslager hanteras effektivare. Dessutom kommer detta att skapa konkurrenskraft för Epiroc-produkter på marknaden.

Die Nachhaltige Ersatzteilversorgung mit Elektronikkomponenten stellt die Hersteller vieler technischer Systeme vor neue Herausforderungen. Der technologische Wandel im Halbleitermarkt ist so schnelllebig, dass sich die elektronischen Bauelemente oftmals schon beim Start der Serienproduktion des Gesamtsystems im Serienauslauf befinden. Die Automobilindustrie ist von dieser Problematik besonders betroffen, weil sie Fahrzeuge in großen Serien über vergleichsweise lange Zeiträume mit harten Kostenzielen und hohen Qualitätsmaßstäben fertigt und auch nach Serienende mit Ersatzteilen versorgen muss. Die einzelnen Kfz-Elektronikkomponenten durchlaufen dazu im Vorfeld eines Fahrzeugeinsatzes umfangreiche Freigabeuntersuchungen. Die Konfiguration eines Kraftfahrzeugs wird außerdem einer gesetzlichen Typprüfung unterzogen, so dass eine spätere Abwandlung der ursprünglichen Komponenten nicht ohne weiteres zulässig ist. Änderungen an der einzelnen Komponente sind demnach nur noch mit erheblichem Aufwand möglich. Diese Situation zwingt die Automobilhersteller und ihre Zulieferer für Kfz-Elektronik zu neuen Konzepten im Management ihrer Ersatzteilspektren. Die vorliegende Arbeit entwickelt ein Management-Support-System für das herstellerseitige Ersatzteilmanagement von Kfz-Elektronikkomponenten auf Basis eines integrierten Methoden-, Daten- und Prozessmodells. Ferner werden Fragen der Systemintegration innerhalb eines Unternehmens und entlang der Wertschöpfungskette untersucht. Ersatzteilmanagement wird dazu als Strukturprozess innerhalb des Ersatzteilwesens betrachtet, der die Abwicklungsprozesse der Ersatzteilversorgung gestaltet und die Versorgungsstrategien zur einzelnen Kfz-Elektronikkomponente festlegt. Auf dem Wege der Lösungsfindung werden unterschiedliche Sichtweisen auf die Problematik gewählt. Vorherrschend ist dabei ein systemtechnischer Modellierungsansatz. Als konkrete Modellierungstechnik für das Ersatzteilmanagement-Support-System wird die Unified Modelling Language (UML) in Kombination mit dem ARIS-Unternehmensmodell nach Scheer eingesetzt. Die Praxisrelevanz wird an einem durchgängigem Fallbeispiel nachgewiesen.

Die Nachhaltige Ersatzteilversorgung mit Elektronikkomponenten stellt die Hersteller vieler technischer Systeme vor neue Herausforderungen. Der technologische Wandel im Halbleitermarkt ist so schnelllebig, dass sich die elektronischen Bauelemente oftmals schon beim Start der Serienproduktion des Gesamtsystems im Serienauslauf befinden. Die Automobilindustrie ist von dieser Problematik besonders betroffen, weil sie Fahrzeuge in großen Serien über vergleichsweise lange Zeiträume mit harten Kostenzielen und hohen Qualitätsmaßstäben fertigt und auch nach Serienende mit Ersatzteilen versorgen muss. Die einzelnen Kfz-Elektronikkomponenten durchlaufen dazu im Vorfeld eines Fahrzeugeinsatzes umfangreiche Freigabeuntersuchungen. Die Konfiguration eines Kraftfahrzeugs wird außerdem einer gesetzlichen Typprüfung unterzogen, so dass eine spätere Abwandlung der ursprünglichen Komponenten nicht ohne weiteres zulässig ist. Änderungen an der einzelnen Komponente sind demnach nur noch mit erheblichem Aufwand möglich. Diese Situation zwingt die Automobilhersteller und ihre Zulieferer für Kfz-Elektronik zu neuen Konzepten im Management ihrer Ersatzteilspektren. Die vorliegende Arbeit entwickelt ein Management-Support-System für das herstellerseitige Ersatzteilmanagement von Kfz-Elektronikkomponenten auf Basis eines integrierten Methoden-, Daten- und Prozessmodells. Ferner werden Fragen der Systemintegration innerhalb eines Unternehmens und entlang der Wertschöpfungskette untersucht. Ersatzteilmanagement wird dazu als Strukturprozess innerhalb des Ersatzteilwesens betrachtet, der die Abwicklungsprozesse der Ersatzteilversorgung gestaltet und die Versorgungsstrategien zur einzelnen Kfz-Elektronikkomponente festlegt. Auf dem Wege der Lösungsfindung werden unterschiedliche Sichtweisen auf die Problematik gewählt. Vorherrschend ist dabei ein systemtechnischer Modellierungsansatz. Als konkrete Modellierungstechnik für das Ersatzteilmanagement-Support-System wird die Unified Modelling Language (UML) in Kombination mit dem ARIS-Unternehmensmodell nach Scheer eingesetzt. Die Praxisrelevanz wird an einem durchgängigem Fallbeispiel nachgewiesen.

Motivés par l'évolution des réglementations en matière d'écologie mais aussi par des contraintes purement économiques, plusieurs secteurs industriels se sont retrouvés dans l'obligation de développer de nouvelles méthodes et modèles pour la gestion des produits en fin de vie. Dans ce contexte, la remanufacturation vise à gérer la récupération de la valeur d’un produit avant sa fin de vie. Elle permet de prolonger le cycle de vie du produit et d’économiser une partie des besoins industriels en matière première. Ces produits remanufacturés seront remis dans le marché et destinés à une autre catégorie de clients, différente de celle des produits neufs. Dans d'autres cas, les produits remanufacturés sont réutilisés sous la forme de pièces de rechange dans les actions de maintenance, mais cette réutilisation peut varier selon la stratégie de maintenance adoptée. Dans ce contexte, cette thèse s'intéresse à l’intégration d'un flux d’approvisionnement hybride en pièces de rechange dans un modèle de maintenance basé sur la dégradation stochastique d’un système de production. Deux types de flux d’approvisionnement en pièces de rechange sont étudiés : un flux direct et un flux inverse. Le flux direct est représenté par l'utilisation de pièces de rechange neuves et le flux inverse est représenté par la réutilisation des pièces récupérées lors des remplacements ultérieurs, avec la possibilité de réaliser une action de remanufacturation pour améliorer l'état de dégradation de ces pièces de rechange. Plusieurs problématiques ont été traitées pour permettre de comprendre l'impact et l'influence d'une politique de remanufacturation sur les performances d'un système de production. En effet, dans un premier temps, nous nous sommes intéressés à des systèmes de production composés d'une seule machine. Dans ce cadre, nous avons proposé des études séquentielles puis intégrées pour optimiser la politique de maintenance et celle de l'approvisionnement hybrides en pièces de rechange destinées aux actions de remplacements. Nous avons étudié également la gestion de production soumise à une contrainte de qualité basée sur l'évolution de la dégradation de la machine. Ensuite, et dans un second temps, nous avons présenté des généralisations des modèles étudiés dans le cadre de systèmes de production composés de plusieurs machines. Enfin, nous avons développé un outil d'aide à la décision pour conception de systèmes de production dans le cadre d'une politique de remanufacturation. Cette problématique - du niveau stratégique - vise à sélectionner le meilleur ensemble de machines pour construire un nouveau système de production capable de satisfaire les contraintes de production définies par décideur / Motivated by the change of regulations in the matter of sustainability, but also by pure economic constraints, several industries have found themselves obligated to develop new methods and models for the management of products that are at the end of their life cycle. In this context, the remanufacturing aims at managing the recovery of the product’s value before its end of life. This type of action will extend the product life cycle and save the use of the raw material. These remanufactured products will be re-injected in a market that serves another class of customers, different from the one using new products. In other cases, the remanufactured products are reused as spare parts for the maintenance, but this reuse may vary according to the maintenance strategy adopted. This thesis focuses on the integration of a hybrid flow supply of spare parts in a service model based on stochastic degradation of a production system. Two types of spare parts supply flows are studied: a direct flow and reverse flow. The direct flow is represented by the use of new spare parts and the reverse flow is represented by the reuse of the recovered parts during the replacements, with the ability to perform remanufacturing action to improve the degradation level of these spare parts. Several issues were treated to better understand the impact of remanufacturing policies over the performance of a production system. At the beginning we started our study with production systems composed of a single machine. In this context, we proposed sequential studies then integrated one to optimize the maintenance policy as well as the Hybrid provisioning in regard to spare parts destined to replacement actions. Similarly, we’ve studied the production management subjected to quality constraint based on the machine’s degradation process. Furthermore, we’ve presented generalizations of studied models within the context of a production system composed of several machines. Finally, we’ve developed an aid-to-decision-design tool for production systems within the remanufacturing process. This problematic aims at –from a strategic point- selecting the best group of machines to build a new system of production that is able to satisfy the constraints of a production defined by the decision maker

"This research is aimed at studying the key technologies of Computer-Aided Manufacturing Planning (CAMP) of mass customization for non-rotational part production. The main goal of the CAMP is to rapidly generate manufacturing plans by using of the best-of-practice (BOP) provided by specific companies. A systematic information modeling hierarchy is proposed to facilitate changes in manufacturing plans according to changes in part design. The Object-oriented Systems Analysis (OSA) approach is used to represent information relationships and associativities in the CAMP. A feature-based part information model, a process model, a setup planning model, and manufacturing resource capability models are established. A three-level decision-making mechanism is proposed for the CAMP. At the feature- level, combined features are defined based on part families, and a process model is proposed to describe the information associativities between features and their manufacturing strategies, which include customized cutters and toolpaths. At the part level, graph-based setup planning is carried out by tolerance analysis and manufacturing resource capability analysis. At the machine level, multi-part fixtures are utilized to pursue high productivity. Cycle time is used to evaluate manufacturing plans. Computer software for the CAMP has been developed and integrated with CAD package Unigraphs. The BOP of part families is stored in XML format, which has good extendibility and can be read and edited by standard browsers."

Poor input data quality used in repairable spare parts forecasting by aerospace small and midsize enterprises (SME) suppliers results in poor inventory practices that manifest into higher costs and critical supply shortage risks. Guided by the data quality management (DQM) theory as the conceptual framework, the purpose of this exploratory multiple case study was to identify the key strategies that the aerospace SME repairable spares suppliers use to maximize their input data quality used in forecasting repairable spare parts. The multiple case study comprised of a census sample of 6 forecasting business leaders from aerospace SME repairable spares suppliers located in the states of Florida and Kansas. The sample was collected via semistructured interviews and supporting documentation from the consenting participants and organizational websites. Eight core themes emanated from the application of the content data analysis process coupled with methodological triangulation. These themes were labeled as establish data governance, identify quality forecast input data sources, develop a sustainable relationship and collaboration with customers and vendors, utilize a strategic data quality system, conduct continuous input data quality analysis, identify input data quality measures, incorporate continuous improvement initiatives, and engage in data quality training and education. Of the 8 core themes, 6 aligned to the DQM theory's conceptual constructs while 2 surfaced as outliers. The key implication of the research toward positive social change may include the increased situational awareness for SME forecasting business leaders to focus on enhancing business practices for input data quality to forecast repairable spare parts to attain sustainable profits.