Problemet man stöter på när man utvecklar plattformar för tredjepartsapplikationer är att det finns en ny lag som ställer hårda krav för hur man ska göra. GDPR är fortfarande så pass nytt att många företag inte har kunskap om hur man ska förhålla sig till lagen eller hur den påverkar projektet. Vi har intervjuat tre olika informanter och analyserat en dom som föll mot ett tidigare projekt för att upplysa de olika problem som kan uppstå samt för att skapa en förståelse för hur man bör förändra utförandet av utvecklingsprojekt i företag. Informanterna som användes har samtliga haft olika professioner för att skapa en så bred problembild som möjligt. Detta bidrog också till att informanterna fick bemöta andras informanters problem. I studien nämns Sigma Technology som fallföretag eftersom ett av deras projekt, Front-VL, användes som referenspunkt. I slutet av studien ges förslag på vad Sigma behöver göra för att kunna uppnå de lagar och krav som ställs i och med GDPR. Studien visar att man i ett tidigt stadie behöver analysera och kartlägga för hur GDPR ska hanteras i projektet och se lagen som ett ramverk att förhålla sig mot samt att öka kunskapen om lagen hos utvecklare.

Syfte - Syftet med den här uppsatsen var att via befintlig litteratur undersöka vilka modeller som finns för att välja systemutvecklingsmetod. Vidare syftade uppsatsen till att testa modellerna på några av de vanligast förekommande utvecklingsmetoderna. Detta skedde med hjälp av ett förenklat exempelprojekt. Metod – Metoden till den här uppsatsen var en litteraturstudie. En litteraturstudie sammanställer tidigare forskning kring ett ämne för att skapa nya perspektiv. Litteraturen till den här uppsatsen inhämtades från journalartiklar, konferenser och böcker. Analys och slutsatser – Omfånget av den här uppsatsen sträckte sig till att se på tre modeller för att välja systemutvecklingsmetod. Dessa var SDM-ES, Big-M och CUQuP. SDM-ES är ett automatiserat expertsystem som drar slutsatser utifrån uppskattningar av användaren. Big-M består i sin enklaste form av en matris. Användaren plottar in det aktuella projektet i matrisen. CUQuP väger ihop tre olika faktorer för varje utvecklingsfas som anses viktig i ett projekt. Dessa faktorer matas sedan in i en formel som genererar en poängsumma. Den utvecklingsmetod som får högst poäng är bäst lämpad för projektet. Gemensamt för modellerna är att de baserar sina val av utvecklingsmetod på ett antal faktorer. Några av dessa faktorer är gemensamma för modellerna medan andra skiljer sig åt. För att testa modellerna applicerades de på utvecklingsmetoderna: Extreme Programming (XP), Rapid Application Development (RAD) och vattenfallsmodellen. För att appliceringen skulle bli meningsfull var det nödvändigt att skapa ett exempelprojekt. Resultatet visade att samtliga utvecklingsmetoder valde RAD som den mest lämpliga utvecklingsmetoden för exempelprojektet. Två av tre valde vattenfallsmodellen som näst mest lämplig. Med andra ord fanns det en relativt hög grad av samstämmighet mellan modellerna. De skulle emellertid krävas en mer omfattande studie för att klarlägga om detta stämmer. / Purpose – The purpose of this paper was to identify and describe models that help developers choosing a system development methodology. Furthermore the purpose was to test the models on some common system development methodologies. In order to do so a simple example project was created. Methodology - This paper was conducted through a literature review. A literature review collects and compiles research on a subject to create new perspectives.  The literature for this paper was collected from science journals, conference papers and books. Analysis and conclusions – This paper delimited itself to only examine three models for choosing a development methodology. The models were: SDM-ES, Big-M and CUQuP. SDM-ES is a rule based expert system that draws conclusions bases on user input. In its simplest form, Big-M uses a matrix in order to decide which development methodology that should be used. Based on estimations of system criticality and project size the user can decide were in the matrix the project belongs. With the help of a formula CUQuP calculates a score for each considered development method. The methodology that receives the highest score is generally considered to be most suitable for the project. All models have a common characteristic. In one way or another they all use factors, such as system criticality and project size, to decide which development method that should be used. In order to test the models three development methodologies were used. Those were Extreme Programming (XP), Rapid Application Development (RAD) and the waterfall model. To make the test meaningful it was necessary to create an example project. The result showed that all three models chose RAD as the best development methodology for the example project. Furthermore two out of three models considered the waterfall model to be the second best option. In other words it seems to be a high degree of coherence between the models. However the scope of this paper is too narrow to decide if that’s true.

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For the past few decades researchers, development agencies and government have focussed on the use of Information and Communication Technologies to improve the socio-economic status of people in underdeveloped rural communities. In recent years there has been remarkable recognition of the importance of developing systems that address the specific needs of rural communities. Education, health, commerce, government and agriculture are amongst the needs of rural communities that could well be addressed by these systems. System development is a complex process and studies have shown that if poorly conducted, the process could lead to the failure of the system being developed. Due to differences in context and application, the processes followed in the development of the rural community systems need to differ from those of commercial applications. One such difference is the choice of the Information System Development Methodology (SDM) used. Following a methodical approach to Information Systems development is important as it improves discipline, standardization and monitoring of a quality system. There are hundreds of SDM available for use during development and choosing the wrong SDM has been linked to problems such as systems being delivered late, being over budget or not meeting the needs of the users. Developing systems for disadvantaged communities is different from developing system for organisations or even affluent communities. Some of the challenges that developers encounter include lack of structure, poor computer literacy, and poor infrastructure. Lack of user involvement during system development has been linked to system failures. A Living Labs approach to socio-economic development is aimed at involving multiple stakeholders towards improving the living standards. Developing Community Information Systems aimed at solving varying community problems is one of the objectives of the Living Labs. There are only few CISs that are fully operational from South African Living Labs, and a number of systems developed are not in use. Poor user involvement and lack of use of system development are some of the reasons for system failures. The purpose of this study is to evaluate the use and effectiveness of System Development Methodologies when developing community information systems aimed at socio-economic development of disadvantaged communities. To achieve the objectives of this study, an interpretive, multiple case study research was conducted in three Living Labs around South Africa. To improve the chances for success during the development of Community Information Systems for use by disadvantage communities, this study proposes a framework for evaluating use and effectiveness of SDMs. The second output of the Study is an SDM framework that could be adopted specifically for Living Labs which adopts an agile approach and prototyping. These frameworks takes into account the social attributes of people in disadvantaged communities, the nature of the living lab, the nature of the systems being developed and the role of the users in the systems being developed. / PhD (Computer Science), North-West University, Potchefstroom Campus, 2014

For the past few decades researchers, development agencies and government have focussed on the use of Information and Communication Technologies to improve the socio-economic status of people in underdeveloped rural communities. In recent years there has been remarkable recognition of the importance of developing systems that address the specific needs of rural communities. Education, health, commerce, government and agriculture are amongst the needs of rural communities that could well be addressed by these systems. System development is a complex process and studies have shown that if poorly conducted, the process could lead to the failure of the system being developed. Due to differences in context and application, the processes followed in the development of the rural community systems need to differ from those of commercial applications. One such difference is the choice of the Information System Development Methodology (SDM) used. Following a methodical approach to Information Systems development is important as it improves discipline, standardization and monitoring of a quality system. There are hundreds of SDM available for use during development and choosing the wrong SDM has been linked to problems such as systems being delivered late, being over budget or not meeting the needs of the users. Developing systems for disadvantaged communities is different from developing system for organisations or even affluent communities. Some of the challenges that developers encounter include lack of structure, poor computer literacy, and poor infrastructure. Lack of user involvement during system development has been linked to system failures. A Living Labs approach to socio-economic development is aimed at involving multiple stakeholders towards improving the living standards. Developing Community Information Systems aimed at solving varying community problems is one of the objectives of the Living Labs. There are only few CISs that are fully operational from South African Living Labs, and a number of systems developed are not in use. Poor user involvement and lack of use of system development are some of the reasons for system failures. The purpose of this study is to evaluate the use and effectiveness of System Development Methodologies when developing community information systems aimed at socio-economic development of disadvantaged communities. To achieve the objectives of this study, an interpretive, multiple case study research was conducted in three Living Labs around South Africa. To improve the chances for success during the development of Community Information Systems for use by disadvantage communities, this study proposes a framework for evaluating use and effectiveness of SDMs. The second output of the Study is an SDM framework that could be adopted specifically for Living Labs which adopts an agile approach and prototyping. These frameworks takes into account the social attributes of people in disadvantaged communities, the nature of the living lab, the nature of the systems being developed and the role of the users in the systems being developed. / PhD (Computer Science), North-West University, Potchefstroom Campus, 2014

In product manufacturing, assembly approximately represents 50% of the total work hours. Therefore, an efficient and fast assembly system is crucial to get competitive advantages at the global market and have the right product quality. Today, the verification of the assembly system is mostly done by utilizing software based simulation tools even though limitations have been identified. The purpose of this thesis is to identify when the use of additive manufacturing technology could be used in assessing the feasibility of the assembly system design. The research questions were threefold. First, identifying limitations that are connected with the used assembly simulation tools. Secondly, to investigate when additive manufacturing can act as a complement to these assembly simulations. Finally, to develop a framework that will assist the decision makers when to use additive manufacturing as a complement to assembly simulations. The researchers used the method of case study combined with a literature review. The case study collected data from semi-structured interviews, which formed the major portion of the empirical findings. Observations in a final assembly line and the additive manufacturing workshop provided valuable insights into the complexity of assembly systems and additive manufacturing technologies. In addition, document studies of the used visualization software at the case company resulted in an enhanced understanding of the current setting. The case study findings validate the limitations with assembly simulations described in theory. The most frequent ones are related to visibility, positioning, forces needed for the assembly operator, and accessibility between different parts. As both theory and case study findings are consistent in this respect, simulation engineers should be conscious of when to find other methods than simulation for designing the assembly system. One such alternative method is the utilization of additive manufacturing. The thesis outlines a number of situations where additive manufacturing indeed could act as a complement to assembly simulation. The authors argue that the results and findings to a large degree are applicable to other industries as the automotive sector is very global and competitive in nature and encompasses a large variety of complex assembly operations. A structured framework was also developed that could act as a decision support. The framework takes into account three dimensions that are crucial for the decision; (1) the assembly simulation limitation, (2) the context of the assembly and which parts are involved and (3) the possible limitations of additive manufacturing in the specific context. This impartial decision framework could help companies with complex assembly systems to know when to use additive manufacturing, as well as for which parts and subparts additive manufacturing is applicable. To increase the longevity of the decision framework, new improvements of assembly simulation tools and additive manufacturing technologies, respectively, should be incorporated in the framework.

<p>Vårt intresse för verksamhets- och systemutveckling har växt fram under vår studietid, då vi fått kunskap om att en av utvecklingstyperna har en mer prioriterad roll vid ett utvecklingsarbete. Efter att ha läst en del artiklar blev vi även intresserade av att jämföra vilka faktorer samt vem som är beslutstagare vid utveckling av organisationer i den statliga och privata sektorn. Detta för att se vilka eventuella skillnader respektive likheter det finns mellan dem.</p><p>Syftet med denna studie är att hitta de faktorer som är avgörande vid val att prioritera verksamhetsutveckling respektive systemutveckling. Samt att skapa en djupare förståelse för en organisations tänkande vid utveckling och hur utvecklingen skall genomföras.</p><p>Vi valde i denna studie att genomföra en kvalitativ studie där vi började med att tillägna oss relevant teori som förklarar och fördjupar läsaren i vad verksamhets- och systemutveckling är. Vidare utformade vi intervjufrågor utifrån vår problemformulering. Intervjufrågorna skickade vi ut till olika organisationer inom både den statliga och privata sektorn i Jönköpings län.</p><p>Utifrån den teori vi tillägnat oss och de svar vi fick in vid intervjuerna genomförde vi en analys som vi sedan kunde dra slutsatser från. Slutsatserna består av de faktorer som vi önskade få fram genom denna studie och presenteras i en matris. Detta för att det ska vara lättare för läsaren att få en överblick över våra slutsatser. Genom matrisens uppbyggnad besvarar den vår problemformulering väldigt bra. Matrisen är uppbyggd enligt följande, den delar upp organisationerna i de två förut nämnda kategorierna, privat och statlig. Den skiljer även på faktorer för verksamhets- och systemutveckling samt vem som är beslutstagare.</p> / <p>Our interest for organizational change and system development started to grow during our time of studying, at that moment knowledge that one of the two development types is more preferred throughout a development work arouse. After reading some articles we found an interest for comparing what factors and who the decision maker is at a development work for organization within the private sector and government-owned sector. This comparison is made to distinguish the possible differences respective resemblance that exists between them.</p><p>The purpose of this study is to find conclusive factors when prioritizing organizational change and system development work respectively. Creating a deeper understanding for the way organization’s think when performing development work and how this should be accomplished.</p><p>We choose to conduct a qualitative study for this thesis, where we started to take in appropriate theories, which will explain and give the reader a deeper understanding for what organizational change and system development work is. Further we formulated the interview questions from our research questions. The interview questions where send to different organisations within both the private sector and government-owned sector within Jönköping’s county.</p><p>From the theory we took in and from the answers we received from the interviews we conducted an analysis and after that we draw conclusions. The conclusions consist of the factors that we did wish to obtain through this study and the conclusions are presented in a matrix. The matrix will make it easier for the reader to gain an overview over our conclusions. Through the matrix structure we will answer our research question in an excellent way. The structure of the matrix is as follows, it divides the organizations into the two categories mentioned previously, private and government-owned. It does also divide the factors by organizational change and system development work together with who the decision maker is.</p>

Current industrial companies are highly pressured by growing competitiveness and globalization, while striving for increased production effectiveness. Meanwhile, flustered markets and amplified customer demands are causing manufacturers to shift strategy. Hence, international companies are challenged to pursue changes, in order to continue being competitive on global markets. Consequently, a new industrial revolution has taken place, introduced as Industry 4.0. This new concept incorporates organizational improvement and digitalization of current information and data flows. Accomplished by data from embedded systems through connected machines, devices and humans into a combined interface. Thus, companies are given possibilities to improve current production systems, simultaneously saving operational costs and minimizing insufficient production development. Smart Factories, being the foundation of Industry 4.0 results in making more accurate and precise operational decisions from abilities to test industrial changes in a virtual world before real-life implementation. However, in order to assure these functions as intended, enormous amount of data must be collected, analysed and evaluated. The indicated data will aid companies to make more self-aware and automated decisions, resulting in increased effectiveness in production. Thus, the concept will clearly change how operational decisions are made today. Nowadays, Discrete Event Simulation is a commonly applied tool founded on specific data requirements as operational changes can be tested in virtual settings. Accordingly, it is believed that simulation can aid companies that are striving for implementing Industry 4.0. As a result, data requirements between Discrete Event Simulation and Industry 4.0 needs to be established, while detecting the current data gap in operational context. Hence, the purpose of this thesis is to analyse the data requirements of Discrete Event Simulation and Industry 4.0 for improving operational decisions of production systems. In order to justify the purpose, the following research questions has been stated:   RQ1: What are the data challenges in existing production systems? RQ2: What data is required for implementing Industry 4.0 in production systems? RQ3: How can data requirements from Discrete Event Simulation benefit operational decisions when implementing Industry 4.0?   The research questions were answered by conducting a case study, in collaboration with Scania CV AB. The case study performed observations, interviews and other relevant data collection to accomplish the purpose. In parallel, a literature review focusing on data requirements for operational decisions was compared to the empirical findings. The analysis identified the current data gap in existing production systems, in correlation to Industry 4.0, affecting the accuracy of operational decisions. In addition, it was shown that simulation can undoubtedly give positive outcome for adaptation of Industry 4.0, and a clear insight on data requirements.

The study analyzes that how information systems facilitate football clubs. To fulfill these purposes this study adopts a design strategy which contains theoretical and empirical parts. It gives a way how to operate and improve works to solve and avoid problems in various sectors in order to facilitate football clubs. This study chooses a suitable information system development methodology and designs a general football club information system model. In the empirical study a questionnaire survey is made to check and complete a general football club information system model. This study proves that information systems can facilitate football clubs in business processes and operations, internal communication and decision-making; furthermore, it supports football club business strategies and helps establish a powerful human resource management project. / Program: Magisterutbildning i informatik

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