The paper first gives a general overview of the drivers of uncertainty in supply chains (SC) and its consequences. To emphasize the current relevance of the topic, the uncertainties caused by the Covid-19 pandemic are ensuing explained using the SC of the food industry as an example. Additionally, the aim of the thesis is to present potential solution approaches to minimize uncertainties in order to improve the overall bottom-line performance.
First the definition and the meaning of the term uncertainty will be analysed. Secondly, a closer look will be taken on the various causes of uncertainty and the possibility to cluster them. This is followed by possible courses of action for companies in dealing with uncertain events. Next, the food logistic industry and its challenges (especially with regard to Covid) will be described. In the last chapter of the paper, a conclusion is given how all participants of SCN should handle uncertainties right now and in the future.
Table of Contents
Table of Contents
List of Figures
List of Abbreviations
1. Introduction
2. Characteristics and Analysis of Uncertainty
2.1 Definition and Meaning of Uncertainty
2.2 Sources and Classification of Uncertainty
2.3 Consequences of Uncertainties
2.4 How to Cope with Uncertainties in the Supply Chain Context
3. Uncertainties in the Food Logistics Caused by Covid-19
3.1 Food Logistics Industry
3.2 Food Supply Chain Network
3.3 Challenges in Food Logistics
3.4 Uncertainties Caused by Covid-19 and its Influences on the Food Logistics
4. Conclusion
References
-
Upload your own papers! Earn money and win an iPhone X. -
Upload your own papers! Earn money and win an iPhone X. -
Upload your own papers! Earn money and win an iPhone X. -
Upload your own papers! Earn money and win an iPhone X. -
Upload your own papers! Earn money and win an iPhone X. -
Upload your own papers! Earn money and win an iPhone X. -
Upload your own papers! Earn money and win an iPhone X. -
Upload your own papers! Earn money and win an iPhone X.