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Conventional approaches lead to inflexible organization:
Classic optimization approaches consider only the fully standardized formal
processes and disregard knowledge intensive and informal ones. Similarly, the
information systems considered are rigid and meant to support only the formal processes. As a consequence of over standardisation in both processes and information technology, the organizations become resistant to any change in operations. This inflexibility leads to delays in adapting their services and product to match the volatile and dynamic market needs.
Contemporary processes and IT allow flexibility:
Currently, organizations are forced to diverge from classic and narrow approaches,
and explore new alternative means to enable human-centric knowledge
processes and collaborative information technologies. These 'Collaborative technologies'
are considered to support a much larger spectrum of process types
namely formal as well as semi-formal and informal processes.
Lack of approaches to configure processes and IT:
Even knowing the potentials of collaborative technologies, the organizations still
show a very slow inclusion into their daily operations, and with relatively high
failure rate. This is due to the fact that there are no comprehensive approaches
or methods available to systematically identify, organize and map organizational
process types to the available collaborative technologies.
Model to configure knowledge processes and IT applications:
The aim of this dissertation is to provide organizations with a model and an
application approach to configure their knowledge intensive processes with the
functionalities offered by collaborative technologies. The model is structured
into three main segments:
• description of attributes of knowledge intensive processes
• description of functionalities of collaborative technologies
• configurations of knowledge intensive processes and collaborative
technologies
The model enables the organizations to recognise and configure knowledge
intensive processes with their collaborative technologies. The model and scenarios
are applicable within organizational settings supported by an application
approach and tool based concept. The model is applied and validated within
three diverse industrial case studies.
Share of logistics cost in percentage of overall revenue in Fast Moving Consumer Industry is 8% and this share is increasing" (s. Handfield, R.; Straube, F.; Pfohl, H.-Chr.; Wieland, A. 2013, p. 19). Hence to take advantage in market all companies are trying to reduce their logistics cost. Outbound customer transportation holds the highest share in logistics cost" (s. T. Seiler 2012, p. 25). In transportation cost, when customer orders in small quantity, the cost incurred will be inappropriate to the volume delivered. This thesis work will adopt and further develop the known best logistics best practices as two models to the low volume customer orders conditions in Fast Moving Consumer goods (FMCG) market. First model will consider this problem has an unique solution and treated only by applying a single logistics strategy neglecting other strategies for all low volume orders. Hence the approach will be y = F(x,z), where x is the logistic strategy attribute and z is the total number of customers. To reduce complexity, this thesis will only consider pooling delivery method by a groupage carrier. In the second model, combination of three logistics strategies such as milk run, crossdocking and groupage delivery method is considered . Hence the approach in second model will be y = F(a,m) + F(b,n) + F(x,o) where z= m+n+o, whereas m, n and o are the number of customers delivered by milk run, cross-docking and groupage methods respectively. Combining and comparing the different models based on transportation cost and CO2 emissions leads to the development of a complete model, which is the final result of this thesis work.
Literature:
1) Handfield, R.; Straube, F.; Pfohl, H.-Chr.; Wieland, A.: Trends and Strategies in Logistics and Supply Chain Management - Embracing Global Logistics Complexity to Drive Market Advantage, DVV Media Group GmbH, Hamburg 2013.
2) T. Seiler: Operative Transportation Planning: Solutions in Customer Goods Supply Chains, Contributions to Management Science, Physica publishing House, Heidelberg 2012.
With the establishment of information technology in companies around the turn of the millennium, solutions developed independently in the various specialist departments emerged alongside those provided centrally by the IT department. This is referred to as shadow IT. However, this has an enormous impact on the company. In this case, neither the necessary support can be guaranteed by the IT departments nor can agreed security standards be adhered to. Shadow-IT exposes security flaws, but it also opens the door for criminatls and jeopardizes the organization´s compliance status. It is critical to understand the employees´ inclination about the usage of Shadow-IT in order to reduce or to adapt to it. The objective of this thesis is to describe Shadow-IT, present its challenges and opportunities, and develop an identification model which focuses on scanning of the network using ping sweep technique and activity monitoring of services running on different devices. Furthermore, organizational approaches are identified to manage Shadow-IT.
Within the first part of the thesis, a brief introduction to Shadow-IT will be presented. In the consecutive parts, an extensive literature review will enable the description of existing methods and prior work on identification methodologies, such as ping sweep technology. Based on the findings, organizational approaches are identified using case study research process and literature review to develop an adequate model to manage shadow IT.
In the course of a validation, the results are mirrored on an example from the supply chain industry.
This research shines a light on the problem of slow moving inventory and obsolete stock. Obsolete stocks is a dead weight for companies, with a high probability of a write-off, tied up captial and warehouse space. The main motivation of this research is the high amount of accumulated obsolete stocks in satellite warehouses across the globe. The main objective of this research is to minimize obsolete stock and understand the insidious transformation of slow movers into obsolete stock as well as prevention of this transformation in the future. Moreover the research will also lightly touch upon visualtization of data using business intelligence using Power BI software.
The two princples of this thesis are : complete disposal and preventing write-off of obsolete stocks and managing net inventory levels of slow movers to prevent their transformation to obsolete stock. This research focuses on creating a network between satellites to alleviate the obsolete stock.
This study aims to detailed insight into the research field and to understand the working of case models in Manufacturing Use. Industrie 4.0 use case model also illustrated the significance of the Manufacturing Unit of Industrie 4.0 Use case models and Industrie 4.0 Technologies and resolved the protection and security issues associated with in-dustrial systems and services' growth precipitated by the implementation of IoT tech-nologies. The key goals were to gather good practices in the sense of Industrie 4.0 / Smart Manufacturing to ensure IoT protection while mapping the related security and privacy issues, threats, risks, and scenarios for an attack. The research aims to act as a reference point for fostering cooperation across the European Union on Industrie 4.0 and Industrial IoT protection and increasing aware-ness of the related threats and risks. An additional important element of the study is to define the notion of Industrie 4.0 and Smart Manufacturing to set the perimeter of the work to be done and serve as the basis for future developments.
German banking sector is already under a great threat from the Fintechs because of their distinguished services like online payments, money transfer, and many other end consumer driven products.This digital disruption has made parts of the business cases vulnerable of their existence and German banks in particular are also exposed to additional risks due to the global competition, regulatory compliance, uncertain economic conditions and high operating costs. The presence of Fintechs is wide enough that they play a vital role in everyday life just at a click of a button and no longer a revolution but a disruption to the traditional business of the banks who are failing to sustain their customers. Combining the titans (German Banks) with new age entrants (Fintechs) will provide smooth user interface, create touch points, and reach to customers better than before which eventually leads to high user acceptance rate. OKRs known as “Objectives and Key Results” is a strategical management tool which revolutionized many organizations such as Google, AB InBev, Twitter, and Microsoft in the transformation of their business, attain operational excellence and break market barriers. They project radical clarity in defining the objectives and align each key result with transparency. Hence, with this performance management tool the banks can be able to pivot the current situation by re-evaluating their existing priorities, redirecting their resources and investments into right lanes by collaborating with the Fintechs. This is enabled by the application of cross-functionality of German banking knowledge and the expertise of Financial technology. Within this thesis, a concept of how to introduce OKRs in the banking management is developed. This is accomplished through literature review in combination with expert interviews from the German banking industry.
Es wird ein besseres Verständnis für Qualitätskontroll- und Materialmanagementstrategien für IoT-Startups zu erlangt. Dazu werden Abnahmeprüfungssysteme und Materialmanagementstrategien von ProGlove, einem Produzenten von tragbaren Technologien, analysiert. Fokus wird dabei auf die Implementierung von auf Materialmanagement basierten Kanban-Karten-Systemen gelegt. Die Thesis wird ein Acceptance Quality Limit (AQL) implementieren.