Thesis focuses on analysis and optimization of Supply Chain Management information tools in the branch of DHL Exel Supply Chain. The aim of the project is the introduction of the company, characteristics of its Supply Chain environment, and optimization and description of its information tool.

The thesis is focused on system design of information flows. These flows contribute to coordination of transmission of orders between companies Melecs ETS s.r.o. and Melecs SWL GmbH & CO KG. In the theoretical part are included theories of production management of custom manufacturing, project management, information flows and business process modeling. In the practical part is characterized company Melecs ETS s.r.o. The analytical part contains an analysis of the information flows and documentation of orders and production process. The outcomes represent the bottlenecks in the information flows and their causes. Based on the analysis of flows and their bottlenecks is designed the standardized system of information flows in orders transmission.

This thesis focuses on the analysis of the information system of the selected company and the proposed changes. Based on the analysis of the current situation, changes have been proposed that should significantly benefit the evaluation of marketing campaigns and automation of business activities.

The aim of this diploma thesis is to create module adjusting of tools for NAHOS information system developed on VÚSSaR FSI VUT Brno a ÚVI FT UTB ZlínTAJMAC - ZPS a.s., where system is applied. Theoretical part contains analysis of preparation activities for tools for manufacturing process – assembling, measuring and adjusting tools. Practical part contains database design and forms for NAHOS system. In this part the SQL language in database system MS Access is used. The solution uses elements of NAHOS system, which are accessible using XML language.

No description available.

Tacit knowledge sharing has featured strongly in knowledge management literature in the last two decades. Knowledge management is an essential component attributed to underpinning organisational success and tacit knowledge sharing contributes directly to enhancing knowledge creation and to obtaining a competitive advantage in the business environment. Over the same period Communities of Practice (CoP) have risen in prominence as vehicles for tacit knowledge sharing and are seen as hotbeds of informal learning processes. There is, however, limited research into what may influence tacit knowledge sharing in CoPs. Additionally, although recognised as knowledge intensive organisations there has been limited research into knowledge sharing within and across educational institutions. The higher education (HE) sector in general has undergone significant change from a complex evolving landscape of political upheaval, funding divergence and an increasingly competitive worldwide market. Knowledge creation, combining and leveraging to improve an institution's performance, should therefore be considered of critical importance. Information Technology (IT) and Digital leadership have a key role in transforming Universities to meet the challenges in a global knowledge economy. The IT community within HE has a Sector Professional Organisation (SPO) that supports a number of voluntary CoPs which have operated over the last twenty years. The aim of the research was to explore the dimensions of tacit knowledge sharing in Communities of Practice working within the Higher Education Information Technology Sector. The study was undertaken from an interpretivist stance and used a phenomenological design with semi-structured interviews with participants who had experience of membership spanning several CoPs as the key data collection technique. The analysis was thematic in nature and brought to light expected and unexpected themes from the experiences of the participants. The key contribution is centered on the study findings that link the nature and movement of tacit knowledge from the core to the periphery of the CoP with its membership and leadership behaviors that are impacting on its success. From this a conceptual model that informs future HE IT CoP design and key leadership characteristics necessary for success, whilst supporting transferability, due to the findings' close association with tacit knowledge sharing was developed and is presented.

This thesis explores Centralised Demand Information Sharing (CDIS) in supply chains. CDIS is an information sharing approach where supply chain members forecast based on the downstream member’s demand. The Bullwhip Effect is a demand variance amplification phenomenon: as the demand moves upstream in supply chains, its variability increases. Many papers in the literature show that, if supply chain members forecast using the less variable downstream member’s demand, this amplification can be reduced leading to a reduction in inventory cost. These papers, using strict model assumptions, discuss three demand information sharing approaches: No Information Sharing (NIS), Downstream Demand Inference (DDI) and Demand Information Sharing (DIS). The mathematical analysis in this stream of research is restricted to the Minimum Mean Squared Error (MMSE) forecasting method. A major motivation for this PhD research is to improve the above approaches, and assess those using less restrictive supply chain assumptions. In this research, apart from using the MMSE forecasting method, we also utilise two non-optimal forecasting methods, Simple Moving Averages (SMA) and Single Exponential Smoothing (SES). The reason for their inclusion is the empirical evidence of their high usage, familiarity and satisfaction in practice. We first fill some gaps in the literature by extending results on upstream demand translation for ARMA (p, q) processes to SMA and SES. Then, by using less restrictive assumptions, we show that the DDI approach is not feasible, while the NIS and DIS approaches can be improved. The two new improved approaches are No Information Sharing – Estimation (NIS-Est) and Centralised Demand Information Sharing (CDIS). It is argued in this thesis that if the supply chain strategy is not to share demand information, NIS-Est results in less inventory cost than NIS for an Order Up To policy. On the other hand, if the strategy is to share demand information, the CDIS approach may be used, resulting in lower inventory cost than DIS. These new approaches are then compared to the traditional approaches on theoretically generated data. NIS-Est improves on NIS, while CDIS improves on the DIS approach in terms of the bullwhip ratio, forecast error (as measured by Mean Squared Error), inventory holding and inventory cost. The results of simulation show that the performance of CDIS is the best among all four approaches in terms of these performance metrics. Finally, the empirical validity of the new approaches is assessed on weekly sales data of a European superstore. Empirical findings and theoretical results are consistent regarding the performance of CDIS. Thus, this research concludes that the inventory cost of an upstream member is reduced when their forecasts are based on a Centralised Demand Information Sharing (CDIS) approach.

This thesis is focused on Master Data Management of Product Data. At present, most publications on the topic of MDM take into account customer data, and a very limited number of sources focus solely on product data. Some resources actually do attempt to cover MDM in full-depth. Even those publications are typically are very customer oriented. The lack of Product MDM oriented literature became one of the motivations for this thesis. Another motivation was to outline and analyze specifics of Product MDM in context of its implementation and software requirements for a vendor of MDM application software. For this I chose to create and describe a methodology for implementing MDM of product data. The methodology was derived from personal experience on projects focused on MDM of customer data, which was applied on findings from the theoretical part of this thesis. By analyzing product data characteristics and their impacts on MDM implementation as well as their requirements for application software, this thesis helps vendors of Customer MDM to understand the challenges of Product MDM and therefore to embark onto the product data MDM domain. Moreover this thesis can also serve as an information resource for enterprises considering adopting MDM of product data into their infrastructure.

The thesis focuses on the selection process and the implementation of the new information system (hereinafter "IS") in a manufacturing company. This is achieved by detailing characteristics of all individual phases and steps of the selection and implementation processes in the context of one appointed company. The characteristics analysis identifies key factors which need to be managed well by the company in order to accomplish a desired outcome. The thesis also includes a generic and coherent framework and it concludes with a comprehensive proposal which can be used as a tool for a successful selection and implementation of the new IS.

Master thesis inquires into proposal of the manufacturing resource planning system implementation into a small manufacturing company. Proposal is based on the information strategy of current processes status analysis and actual software & hardware equipment. Solution also contains the selection of information system implementation supplier and evaluate benefits of proposed information system implementation.