O objetivo deste trabalho é investigar as estratégias de produção e prioridades competitivas de 6 empresas do pólo calçadista de Jaú-SP, no âmbito do mercado doméstico e internacional, e verificar como as várias áreas da produção participam como apoiadoras destas estratégias. O desenvolvimento desta pesquisa envolve um estudo de caso em seis empresas do pólo calçadista de Jaú-SP, verificando quais as estratégias utilizadas por elas e como se diferenciam dos concorrentes através do estabelecimento de estratégias genéricas, estratégias de produção e respectivas prioridades competitivas, como custo (menor custo da produção), a qualidade (sob a ótica da satisfação do cliente), o desempenho das entregas (busca por menores prazos) e flexibilidade (principalmente no que tange ao mix de produtos e volume de produção) e a sobreposição destas. / This work aims at investigating the manufacturing strategies and its competitive priorities in six companies of the footwear industry of Jaú-SP. This study not only involves the diagnosis of the domestic and international market, but also discusses how the various aspects of production management support these strategies. The development of this research also includes the analysis of how these companies differentiated themselves from their competitors in terms of the establishment of generic strategies, manufacturing strategies and their respective competitive priorities, such as cost (lower cost of production), quality (under the optics of customer\'s satisfaction), delivery performance (search for shorter deadlines) and flexibility (mainly the product mix and production volume), as well as their possible overlay.

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Software development is an area in which companies not only need to keep up with the latest technology, but they additionally need to continuously increase their productivity to stay competitive in the industry. One company currently facing these challenges is Storytel - one of the strongest players on the Swedish audiobook market - with about a fourth of all employees involved with software development, and a rapidly growing workforce. With the purpose of understanding how the Storytel Tech Department is performing, this thesis maps Storytel’s productivity defined through the Four Key Metrics - Deployment Frequency, Delivery Lead Time, Mean Time To Restore and Change Fail Rate. A classification is made into which performance category (Low, Medium, High, Elite) the Storytel Tech Department belongs to through a deep-dive into the raw system data existing at Storytel, mainly focusing on the case management system Jira. A survey of the Tech Department was conducted, to give insights into the connection between human and technical factors influencing productivity (categorized into Culture, Environment, and Process) and estimated productivity. Along with these data collections, interviews with Storytel employees were performed to gather further knowledge about the Tech Department, and to understand potential bottlenecks and obstacles. All Four Key Metrics could be determined based on raw system data, except the metric Mean Time To Restore which was complemented by survey estimates. The generalized findings of the Four Key Metrics conclude that Storytel can be minimally classified as a ‘medium’ performer. The factors, validated through factor analysis, found to have an impact on the Four Key Metrics were Generative Culture, Efficiency (Automation and Shared Responsibility) and Number of Projects. Lastly, the major bottlenecks found were related to Architecture, Automation, Time Fragmentation and Communication. The thesis contributes with interesting findings from an expanding, middle-sized, healthy company in the audiobook streaming industry - but the results can be beneficial for other software development companies to learn from as well. Performing a similar study with a greater sample size, and additionally enabling comparisons between teams, is suggested for future research.

The Order-to-Delivery (OTD) process covers the entire flow from an initiated order until the productor service is delivered to the customer. OTD is considered a core flow in order to successfully deliverproducts according to the customer’s needs. Therefore, is it of importance to track the performanceof this flow and all intermediary processes through performance measurements. The key to successfulperformance measurement is to identify critical factors that can be measured towards previous states,future goals and industry best-practices. However, there are no standardized solutions that can beadopted. Instead performance measurements need to be adapted to each organization’s capabilities,limitations and needs. Effective performance measures and indicators can help steer a company in theright direction.In this thesis, Scania’s industrial OTD process and the connecting indicators has been studied. Thecompany would like to know possible indicators to measure the performance of this process so that itwill contribute to find deviations, continuous improvement and challenge the current state. There isalso a need to increase the knowledge of how to interpret and manage indicators.The project has been conducted through both empirical and theoretical studies. An extensive literaturereview has been performed. The study concluded in methods and best practices for performancemeasurements, as suggested by literature. It has also resulted in an identification of relevant OTDmeasures. Empirical studies have been conducted through a current state analysis of Scania and acompany comparison. Five companies were interviewed on the topic of performance measurements.The aim was to identify the measurements used in each of the companies OTD flow and to investigateif any best practices could be identified. The empirical findings have been analyzed towards thetheoretical findings in order to find gaps and improvement suggestions. It was found that lead timeand delivery performance are two strategic elements to evaluate a company’s OTD flow.Lastly, a concept has been developed as an additional approach to measure the part of a lead timethat has the largest variance - transport time. The concept can, with further work, be extended toinclude the entire lead time. The aim with the concept was to fairly compare different transport timesagainst each. It is believed that the approach can be used as a tool to visualize the efficiency of thetransport flow to different delivery countries and therefore determine if the country behavesaccording to a normal situation.The thesis has resulted in recommendations to implement new measures that could be of value toScania. Process wise it is suggested to better differentiate between indicators and to improve the waythey are presented and reported. It is also suggested that that quality of the input data and thereporting process for this should be reviewed. / Order till leverans-processen täcker hela flödet från orderläggning tills att slutprodukten eller servicenlevereras till kund. Processen anses vara en kärnprocess och är kritisk för att kunna leverera produkterenligt kundens behov. Det är därför viktigt att följa upp prestandan av detta processflöde genom olikaprestationsmått. För att lyckas med prestationsmätning är det viktigt att identifiera kritiska faktoreroch mäta dessa mot tidigare lägen, framtida mål och best practices inom industrin. Det finns dock ingastandardiserade lösningar som kan implementeras på företag. Prestationsmått måste anpassas eftervarje organisations kapacitet, begränsningar och behov. Genom att använda effektiva prestationsmåttoch indikatorer kan ett företag styras i önskvärd riktning.I detta examensarbete har Scanias industriella order till leverans-process och dess tillhörandeprestationsmått studerats. Företaget har en önskan om att identifiera möjliga indikatorer för att mätaprestandan av order till leverans-processen, vilket kan bidra till att hitta avvikelser, ständigaförbättringar och att utmana den nuvarande situationen. Det finns även ett behov av att ökakunskapen om hur prestationsmått ska tolkas och hanteras.Detta projekt har utförts genom empiriska och teoretiska studier. En omfattande litteraturstudie harresulterat i lämpliga metoder och utföranden gällande prestationsmått. Studien har även resulterat irelevanta order till leverans-mått enligt akademisk forskning. De empiriska studierna har bestått av ennulägesanalys av Scania och en jämförelsestudie där fem olika företag har blivit intervjuade inomämnet prestationsmätning. Målet med jämförelsestudien var att undersöka de olika mått somföretagen använder i sin order till leverans-process och för att ta reda på hur de arbetar medprestationsmätning. De empiriska studierna har analyserats i förhållande till teori, för att hittakunskapsluckor och förbättringsförslag. Det kan konstateras att ledtid och leveransprestanda är tvåstrategiskt viktiga faktorer för att kunna utvärdera ett företags order till leverans-process.Slutligen har ett nytt ledtidskoncept blivit utvecklat. Konceptet mäter transporttiden, vilket är den delav ledtiden där störst variation uppstår. Konceptet har potential att utvecklas och förlängas till att mätaden totala ledtiden. Målet med konceptet var att jämföra olika transporttider på ett rättvist sätt motvarandra. Konceptet kan användas som ett verktyg för att visualisera effektiviteten av transportflödettill olika leveransländer och därav avgöra om landets processer presterar enligt ett normalläge.Examensarbetet har resulterat i rekommendationer om att implementera prestationsmått som kanskapa värde för Scania. Det rekommenderas också att särskilja olika typer av prestationsmått samtförbättra hur dessa presenteras och rapporteras. Även kvalitén på indata och hur data rapporters börses över.