Ordering System Essay

Automated terminal ordering has been offered as a potential antecedent to many remembering take aim problems Automation could improve availability, decrease inventories, and trim the time and labor required for ordering. However, despite the potential advantages, it seems that the majority of retailers incur only just started to implement automated ordering systems at come in level. Furthermore, very little published in skeletal frameation screw be strand on store level processes, not to mention automated store ordering. Therefore, swell up(p)-documented research on how and if conventional inventory management make outs can be applied at store level operations should be extremely engrossing both from academic and business stands. This masters dissertation examines how automated store ordering could more efficiently be utilise to improve store operations and act. The problem is approached first from the theoretical viewpoint In the literature review, the retail sup ply chain and store level processes and performance are examined. Furthermore, inventory management and forecasting practices as well as their application in retailing are reviewed.The empirical lay down in the dissertation consists of a part where survey cloth form the study Logistics processes of European grocery retailers is analyzed, and a possibility as well as a simulation study. The survey material provides information on how common ASO systems are and what kind of systems actually have been implemented The cocktail dress study offers the opportunity to explore the implementation of an ASO system in practice And the simulations enable developing and testing ways in which the performance of ASO systems can be heighten. Both the theoretical and empirical parts of the thesis move over practical conclusions and results. The most important findings of the thesis are the following many an(prenominal) companies have just started to implement automated store ordering systems. The systems in use are typically fairly simple, and they are most oft used for managing the normal material flow. Exception situations as well as more challenging product groups are still usually handled manually. The performance of basic automated store ordering systems can be enhanced by taking into consideration special characteristics of store environment. In case of normal material flow, robust methods are needed to tackle weekday bring and varying replenishment intervals. This can be accomplished by applying material requirements planning logic in order determination. For efficiently managing onward motions with automated store ordering systems, it is important to improve flexibility and react to initial promotion demand.Key words Automated store ordering, retail logistics, inventory management, retail store processesLanguage EnglishAcknowledgementsACKNOWLEDGEMENTSSpecial word of thanks to the bulk who have contributed to the completion of this thesis. First, I would wi sh well to thank my instructor, and friend, Johanna Smros for her support, feedback and guidance. Without her deadlines, and understanding, this thesis would not exist. My appreciation goes to Professor Kari Tanskanen for his supervision and guidance, and to all the members of the Logistics Research free radical for a wonderful and inspiring working environment. I would also like to thank the people in the case company, especially Aleksi. And most of all, I would like to thank those closest to me. My wonderful friends at Helsinki University of engineering science have been a great cause of happiness and comfort during the inhabit five years, and especially this spring. Finally, I am deeply grateful to my family What allows me to endangerment getting shattered is the knowledge that you will be there to clean up the pieces.