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Scania is a Swedish automotive manufacturer for heavy vehicles and engines. It also offers transport solutions and long term commitment for customers. In today's Scania, a modular system provides a huge variety of specifications to meet varying dramatic needs for different customers. In order to be able to meet the diverse requirements of customers, modular approach with the support of reusable components is used to increase the efficiency of designing different products. To customize both product development and product design, computer aided design(CAD) is used to support the process of design and design documentation. "CATIA" is a multi-platform CAD software and "ENOVIA" is a product modeling product offers product database management for virtual model design into CATIA, both "CATIA" and "ENOVIA" are developed by the French company Dassault Systemes are chosen by Scania to support its product development. The modular system approach requires the system support for product structure, which is managed by a mainframe called SPECTRA. The thesis project is mainly about system designing a new module which takes the responsibility for exchanging information between SPECTRA and ENOVIA. In more detail, the new component is to perform a mapping of data in SPECTRA format into a format which ENOVIA can import. The mapping module has several interfaces with other applications in the system. JavaMigrator provides the environment to import data from the mainframe and transfer the data into the module and finally output the expected data format into ENOVIA. To achieve this purpose, several possible solutions were proposed and several methods were tried. Since an in-house developed CAA-module is highly preferred by Scania, the new mapping component will finally be designed into two separate modules, the first part converts the XML extracted from SPECTRA into an intermediate format and the second part is designed to convert the intermediate file into the expected target file. The intermediate file is required, since the format is independent of changes in both SPECTRA and ENOVIA. Furthermore, it is flexible and less complex to maintain than direct mapping from exported XML to ENOVIA. The report focuses on five parts, background, project specification, methodology, implementation, result and future work.

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A construção civil, especialmente nos últimos anos, tem se assemelhado à configuração organizacional denominada rede de empresas, devido a mudanças estruturais em sua forma de produção e relacionamento firma-empregado. A adoção de novas técnicas e ferramentas para o aumento da competitividade é necessária, para o desenvolvimento das empresas do setor. A estrutura do produto, ferramenta intensamente utilizada na indústria de manufatura, se apresenta como um instrumento no auxílio à competitividade das empresas de construção civil, especialmente nas áreas relativas a suprimento e a fluxo de materiais. / The civil construction sector, specially in last years, has been similar to the organizational configuration called network enterprise, because the structural changes in the production form and employee relationship. The use of new techniques and tools to improve the competitiveness is necessary to develop the sector companies. The product structure, used oftenly in manufacturing industry, is a tool that helps the competitiveness of the firms in construction sector, specially in supply and materials flow management.

Road transports face increasing societal challenges with respect to emissions, safety, and traffic congestion, as well as business challenges. Truck automation, e.g. self-driving trucks may be utilized to address some of these issues. Autonomous transport vehicles may be characterized as Cyber-Physical Systems (CPS). A drawback is that CPS significantly increase technical complexity and thus introduce new challenges to system architecting. A product architecture is the interrelation between physical components and their function, i.e. their purpose. Product architectures can be categorized as being modular or integral. The main purpose of a modular architecture is to enable external variety and at the same time internal commonality. Products with a modular architecture are configured from predesigned building blocks, i.e. modules. A stable module, which is a carrier of main function(s) has standardized interfaces, is configured for company-specific reasons, which means it supports a company-specific (business) strategy. In this thesis, the present state at the heavy vehicle manufacturer Scania, concerning product architecting, modularization, product description and configuration is investigated. Moreover, a new clustering based method for product modularization that integrates product complexity and company business strategies is proposed. The method is logically verified with multiple industrial cases, where the architecture of a heavy truck driveline is used as a test bench. The driveline contains synergistic configurations of mechanical, electrical and software technologies that are constituents of an automated  and/or semi-autonomous system, i.e. the driveline may be characterized as a CPS. The architecture is analyzed both from technical complexity and business strategy point of view.  The presented research indicates that a structured methodology which supports the development of the product architecture is needed at Scania, to enable control of the increasing technical complexity in the Cyber-Physical Systems. Finally, configuration rules are identified to be highly important in order to successfully realize a modular product architecture. A drawback with this approach is that the solution space becomes hard to identify, therefore a complete and flexible product description methodology is essential. The results from the case studies indicate that clustering of a Product Architecture DSM may result in a modular architecture with significantly reduced complexity, but with clusters that contain conflicting module drivers. It is also identified that the new modularization methodology is capable of identifying and proposing reasonable module candidates that address product complexity as well as company-specific strategies. Furthermore, several case studies show that the proposed method can be used for analyzing and finding the explicit and/or implicit, technical as well as strategic, reasons behind the architecture of an existing product.

A construção civil, especialmente nos últimos anos, tem se assemelhado à configuração organizacional denominada rede de empresas, devido a mudanças estruturais em sua forma de produção e relacionamento firma-empregado. A adoção de novas técnicas e ferramentas para o aumento da competitividade é necessária, para o desenvolvimento das empresas do setor. A estrutura do produto, ferramenta intensamente utilizada na indústria de manufatura, se apresenta como um instrumento no auxílio à competitividade das empresas de construção civil, especialmente nas áreas relativas a suprimento e a fluxo de materiais. / The civil construction sector, specially in last years, has been similar to the organizational configuration called network enterprise, because the structural changes in the production form and employee relationship. The use of new techniques and tools to improve the competitiveness is necessary to develop the sector companies. The product structure, used oftenly in manufacturing industry, is a tool that helps the competitiveness of the firms in construction sector, specially in supply and materials flow management.

Road transports face increasing societal challenges with respect to emissions, safety, and traffic congestion, as well as business challenges. Truck automation, e.g. self-driving trucks may be utilized to address some of these issues. Autonomous transport vehicles may be characterized as Cyber-Physical Systems (CPS). A drawback is that CPS significantly increase technical complexity and thus introduce new challenges to system architecting. A product architecture is the interrelation between physical components and their function, i.e. their purpose. Product architectures can be categorized as being modular or integral. The main purpose of a modular architecture is to enable external variety and at the same time internal commonality. Products with a modular architecture are configured from predesigned building blocks, i.e. modules. A stable module, which is a carrier of main function(s) has standardized interfaces, is configured for company-specific reasons, which means it supports a company-specific (business) strategy. In this thesis, the present state at the heavy vehicle manufacturer Scania, concerning product architecting, modularization, product description and configuration is investigated. Moreover, a new clustering based method for product modularization that integrates product complexity and company business strategies is proposed. The method is logically verified with multiple industrial cases, where the architecture of a heavy truck driveline is used as a test bench. The driveline contains synergistic configurations of mechanical, electrical and software technologies that are constituents of an automated  and/or semi-autonomous system, i.e. the driveline may be characterized as a CPS. The architecture is analyzed both from technical complexity and business strategy point of view.  The presented research indicates that a structured methodology which supports the development of the product architecture is needed at Scania, to enable control of the increasing technical complexity in the Cyber-Physical Systems. Finally, configuration rules are identified to be highly important in order to successfully realize a modular product architecture. A drawback with this approach is that the solution space becomes hard to identify, therefore a complete and flexible product description methodology is essential. The results from the case studies indicate that clustering of a Product Architecture DSM may result in a modular architecture with significantly reduced complexity, but with clusters that contain conflicting module drivers. It is also identified that the new modularization methodology is capable of identifying and proposing reasonable module candidates that address product complexity as well as company-specific strategies. Furthermore, several case studies show that the proposed method can be used for analyzing and finding the explicit and/or implicit, technical as well as strategic, reasons behind the architecture of an existing product.

In order to gain competitive advantages in markets, companies have provided a variety of customized products to satisfy customer-specific requirements, leading to not only a large amount of product data but also high cost, long lead-time and complexity of quality control. Efficient product data management throughout the product lifecycle has become increasingly crucial, of which product structure management is regarded as the most important constituent.  The study took ABB Mine Hoist system as a case to investigate how to construct a generic product structure model fit for engineer-to-order system offerings with the consideration of their sales-delivery product lifecycle. The aim of the model is to facilitate the product-related information sharing and reuse across a company, and the integration of different business operations throughout the entire product lifecycle as well. Based on the current situation analysis of product data management on ABB Mine Hoist, three major issues were identified which need to be addressed in the formulation of a generic structure model: namely the integration of requirements of multiple disciplines; the consistency of product information throughout the product lifecycle; and the constant update of product repository. Through illustrating the formulation of ABB Mine Hoist generic structure model, the method of how to construct a generic product structure model for engineer-to-order system product was presented. The model was achieved by applying the framework of the step-based product model and was regarded as a result of integrating domain-specific requirements. The adaptive generic product structure model was then employed to display the role of this generic model in the different phases of a sales-delivery lifecycle. The model could serve as a “master concept” to transfer common product information in the product lifecycle. It’s expected to benefit the business of engineer-to-order system product through improving the integration of different disciplines, enhancing information exchange and reuse. It could also provide an abstract and conceptual basis for potential product repository to reinforce data consistency and completeness.

This diploma work deals with a dynamic multi-level multi-item lot sizing problem in a general production-assembly structure represented by a directed acyclic network, where each node may have several predecessors and successors. We assume stochastic demand, finite planning horizon consisting of discrete time periods, dynamic lot sizes, multiple constrained resources and time-varying cost parameters. The objective is to minimize the total costs over the planning horizon. This thesis includes overview of models with stochastic demand and also general description of genetic algorithm. Using different modifications of genetic algorithm I have proposed and implemented methods for solving a chosen model. Then I have made an experimental comparison of these method on selected problems.

Much research regarding efficiency in manufacturing industry has historically been focused on the material activities of the shop floor. However, companies that merely focus on material activities when trying to improve lead times, risk losing potential for improvements within immaterial activities such as planning, engineering, design, and purchasing, which often constitute the most time consuming parts of the order fulfillment processes. Engineer to order (ETO) products are particularly time consuming regarding their immaterial activities, and the customer is waiting for the products from the very beginning of the order fulfillment process. Shortening the lead time to customer for ETO products is therefore important for customer satisfaction. The aim of this study is to adapt an existing lead time tree model currently focused on material activities to also include immaterial activities, enabling a full visualization of all activities contained in order fulfillment processes. The lead time tree model would thereby be able to use as a tool when working on shortening the lead time to customer. A further aim of the study is to investigate how the adapted lead time tree model can be used in further areas as well, in addition to visualizing immaterial activities. The adaption of the lead time tree model has been based on the original literary source of the lead time tree model. The original lead time tree model has been analyzed towards theoretical data from a literature study, and towards empirical data about immaterial activities in order fulfillment processes for ETO products, from the case company Kongsberg Maritime Sweden AB (previously Rolls-Royce AB). The result of this has been an adapted lead time tree model that can visualize immaterial activities. Several adaptions of the original lead time tree model have been made for it to be able to visualize immaterial activities, while still keeping the basics of the original model. The adapted lead time tree model comprises information that is normally kept separated and that is important when planning and improving a process. Additional information that is needed for each specific case can also easily be included in the lead time tree. The adapted lead time tree model has proven to have additional areas of use within project planning, improvement work regarding lead time reduction and root-cause analysis, and as a boundary object for communication between internal actors and between internal and external actors. The adapted lead time tree model is presumably able to map and visualize immaterial activities in other fields of business as well, other than manufacturing, as the nature of immaterial activities remains the same across business environments.