7036SSL: Operations Analytics Analytics of Key Operations Areas - Management Assignment Help

Assignment Task:

Task:

Assessment Information
This assignment is designed to assess learning outcomes:
LO1: Demonstrate a critical understanding of the use of analytic methodologies in Operations Management and Logistics, with a particular emphasis on the Forecasting function.
LO2: Demonstrate a comprehensive understanding and application of the methods, tools and techniques of analytics modelling and simulation used to solve real business problems.
LO3: Critically apply various analytical methodologies and techniques to solve operational problems.
This assignment is an individual assignment.
This assignment requires you to:
Using the case of an organisation you have selected as well as a minimum of ten published journal articles and secondary sources such as company reports, produce a short report critically discussing the role of ONE of the following key areas of operations analytics:
• Demand planning and forecasting
• Processes using four Vs format and SIPOC format and mapping symbols
• Inventory – EOQ calculations and ABC analysis

As a detailed guide for your report, you should consider in one-way or another, the following:

This document is for Coventry University students for their own use in completing their assessed work for this module and should not be
passed to third parties or posted on any website. Any infringements of this rule should be reported to acreg.fbl@coventry.ac.uk

Assignment Brief Template
Page 2 of 5

1. Overview. An overview of the organization and the scope of that operational area. For example, if you choose, “demand planning and forecasting”, discuss to what extent the operations of the organization are shaped and influenced by this function, and its contribution to organisational performance.
2. The planning environment and the key variables. Use an appropriate framework or methodology to identify and discuss the key decisions, which need to be made in this operational area and the important variables to be considered.
For example, if you choose, “demand planning and forecasting” you can make use of the PHIVE framework to guide your thinking and identify the key decisions which forecasting supports. If you choose inventory, you may consider discussion of the inventory management system adopted e.g. periodic or perpetual inventory, and the key elements of the system, e.g. nature of demand, planning period, lead-time, order size, and costs.
3. The organisation’s analytic capabilities in this operational area. An analysis of the operation’s process, and the key analytical tools and resources, which support this process. You should include at least one own illustration e.g. process map or applied inventory control model diagram.

For example, if you choose Inventory, then you can discuss the inventory management process and analytics capabilities of the organization in this regard e.g. do they use ABC analysis or what is the scope of the inventory forecasting.
4. Discussion and analysis of the application of ONE key Analytics Tool or Model. Discussion of a major operations analytics tool or model employed in this part of the organisations operations.
If you choose Inventory, this may for example include the use of tools such as ABC analysis. If the organisation does not adopt any inventory analytics tools, then you may propose the applicationm of a tool or model e.g. Economic Order Quality or Safety Stock model. Note that this discussion must be technical in nature, and must include at least one own illustration, and at least one example mathematical calculation, or its description.
5. Key challenges. Outline the challenges faced by the organisation in achieving excellence in support of this area of its operations analytics. For example, if you choose forecasting what are the key challenges in creating operational forecasts.
6. Conclusions and recommendations. Conclude on your findings and make recommendations for improvement.

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