Services Marketing Production Planning & Control

Question: Discuss about the Services Marketing for Production Planning Control. Answer: As the streaming application of Netflix is highly complex as well as it can be considered as the array of intertwined systems, the management have to fabricate the operation process with very crucial efficiency. The API of the Netflix is considered the front door of the entire streaming process (Radnor et al. 2014). The API is referred to the combination of processes that enables the system to create numerous applications that would be beneficial for accessing the operating system. With this particular arrangement, Netflix is able to access more than 50000 requests per hours at the peak time. Netflix also operates a user interface team, that is responsible for supporting new features by changing the scripts of client adapter. In order to handle these numerous changes as well as challenges of high scale operation system support, the company will need a robust service edge along with coordinated operation system (Netflix.com. 2016). Figure 1: Front and Back Stage Operation Flow chart of Netflix (Source: Netflix.com. 2016) Netflix operates mainly three different kinds of operations in order to provide the streaming for public. Netflix operates its offline operations in the branch of Hermes. At the same time, the branch of Manhattan operates the nearline as well as online streaming. The offline operations of which is also considered as the back stage operations includes development of various models (Krajewski et al. 2013). These models are created with the help of Machine learning Outcome. These particular algorithm also plays a very crucial role with respect to training the models. There are also several offline streaming channels operated by the branch of Hermes (Netflix.com. 2016). Unlike the Hermes branch, Manahattan Branch focuses on nearline computation as well as online computation which is directly linked with the front stage operations. The nearline operations undertakes a numbers of user event queue. In the same context, the nearline computation maintain several streaming channels just like offline computation. The Machine Learning Algorithm also pays a crucial role in supporting the nearline computation. The nearline computation directly influences online data service of the online computation. The online data service is explicitly supported by the offline models as well. The online computation of Netflix also operates the algorithm services (Gaimon 2015). The algorithm services are highly crucial for the user interface client of Netflix. The UI client arrange the events for streaming of Netflix that streamed to the offline streaming channel (Netflix.com. 2016). In order to enhance the operational visibility of Netflix the operational management department focuses on extending the insight capabilities with real time insight tools (Gaiardelli 2013). There are several factors, which have been given a greater focus. These capabilities are discussed below: Perspective: Most of the insight tools are developed from the perspectives concerning the metrics provided by the systems. It will be highly beneficial for Netflix as it will prolife the custom tools as well as implement and interpret the specialized knowledge. Context: Netflix troubleshoots any given problems as well as perceives any part of system by accessing a number of relevant and up-to-date information. Automation: Operations management will allow the division to operate automatically as well as continuously in order to analyze and identify any kind of anomalies in the system. Dynamic Visualizations: The operations management of Netflix will explicitly use a number of insight tools. These tools will have the features of dashboards with time-series graphs (Pang et al. 2014). This way the insight tools will be modified and more capable to support the operations. Cohesive Insight: Various separate teams will use disparate insight tools with greater cohesiveness so that the operations of Netflix will be work cohesively. Reference List: Gaiardelli, P. 2013. Key concepts in operations management, by Michel Leseure.Production Planning Control,24(12), 1101-1102. Gaimon, C., 2015. Special Issue of Production and Operations Management on Management of Technology.Production and Operations Management,24(11), pp.1838-1838. Krajewski, L.J., Ritzman, L.P. and Malhotra, M.K., 2013.Operations management: processes and supply chains. New York: Pearson. Netflix.com. 2016.Netflix. [online] Available at: https://www.netflix.com/in/ [Accessed 19 Aug. 2016]. Pang, Z., Shen, H. and Cheng, T.C.E., 2014. Addendum to Research and Management Insights in Production and Operations Management, July 2014, Volume 23, Issue 7.Production and Operations Management,23(7). Radnor, Z., Osborne, S.P., Kinder, T. and Mutton, J., 2014. Operationalizing co-production in public services delivery: the contribution of service blueprinting.Public Management Review,16(3), pp.402-423.