This research is focus on the influence of cross-functional orientation on semiconductors¡¦ supply chain performance. In today¡¦s growing complexity of global network, more and more merge and acquisitions are happening in all kinds of industries. Semiconductors Industry is selected because of it¡¦s large investment on capacity expansion. Today the manufacturing service is getting mature, all IDM companies tend to asset-light policies to focus on their core business only. Intra-organization and inter-organizations cooperation is becoming important. This study is to find out whether the cross-functional activities can bring customer satisfaction and supply chain responsiveness through empirical research. The findings show that the supply chain¡¦s cross-functional orientation has some positive effect on supply chain performance with empirical evidence. The conclusions are: 1. The cross-functional orientation has some positive effect on customer satisfaction on its construct of ¡§Participative Management Model¡¨ and ¡§Technology Integration¡¨. 2. The cross-functional orientation has some positive effect on supply chain responsiveness on its construct of ¡§Participative Management Model¡¨, ¡§Information Exchange¡¨ and ¡§Technology Integration¡¨. 3. Customer Satisfaction and Supply Chain Responsiveness has remarkably positive effect to each other.

The digital transformation is affecting every dimension of every business while the retailindustry is no exception. The changing expectations from the customer of today set increasedrequirements on distribution. Correspondingly, it seems that distribution is an area within whichdigital technologies can have major impact for retail companies. However, there is a lack ofpractical cases that demonstrate this impact in the Swedish market. As many retailers havestarted to integrate digital tools within their supply chains, different players have achieveddifferent levels of digital maturity in their distribution.The purpose of this research is to investigate the digital maturity level of retail companies withindistribution as well as their perception of digitalization alongside its impact on distributionprocesses. The method for data gathering consisted of qualitative interviews in combinationwith a questionnaire. The collected data in combination with theoretical research was used tofulfill the research purpose.The analysis revealed the digital maturity level within distribution for ten of Sweden’s largestretailers operating in different branches. All ten case companies were categorized as eitherAdopters or Collaborators. With respect to what literature have mentioned as benefits of digitaldistribution, the analysis further revealed the benefits that case companies have gained bydigital tools. Cost efficiency, traceability, delivery accuracy, improved lead time, shelfavailability, and increased free time in stores were the major benefits gained by digital tools, asdescribed by case companies.

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Additive manufacturing (AM), commonly known as 3D printing, has been attracting attention from practitioners as well as academicians with its continuous evolution from being used primarily for prototyping to now end-product production. Despite this technology's current and future potential, few studies indicate that AM has not been extensively used across all industries. This dissertation addresses knowledge gaps by providing theoretical and empirical support for adopting AM through three essays that study the role of AM in restructuring supply chains. Essay 1 provides systematic support for AM implementation by developing a typology derived from technology-specific potentials and challenges to adopting AM. This study uses an exploratory research approach to collect and analyze data from semi-structured interviews of practitioners with deep knowledge of AM and supply chains from diverse industries. In Essay 2, our results show that AM adoption positively influences supply chain responsiveness and, in turn, reshoring decisions. Essay 3 compares different supply chain configurations based on traditional and AM. We developed a hybrid simulation model combining discrete event simulation and agent-based simulation and compared the performance in terms of wait time and costs. Our results indicate that under certain conditions, the centralized configuration delivers spare parts faster than the distributed configuration, contrary to previous literature findings. However, a hybrid configuration (a combination of centralized and decentralized) provides a better response (reduced wait time) than the traditional, centralized, and decentralized configurations. Collectively, the three essays provide academicians and practitioners with a more comprehensive understanding of how AM creates value for supply chains.