A manufacturing company has been in business in last 25 years and producing 7 different products belong to the same fami
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A manufacturing company has been in business in last 25 years and producing 7 different products belong to the same fami
company has been in business in last 25 years and producing 7 different products belong to the same family with different functionalities. The products have a reasonable market share but the fast-changing technological developments and heavy competition in the market have started giving hard times to the company. The company has been an innovative and using the latest processing technologies in its manufacturing operations. However, the fast-changing technologies and increasing custom based demand in the market forced the company to use modern data science tools and techniques. Therefore, the company has decided to use social media besides the usual surveys collected from their market surveyors as a feedback mechanism to collect the data and information they needed to use in their decision process for mainly to produce high quality products as well as start designing new products to meet the customer expectations in a speedy way. The management of the organization, after long discussions, has decided to build a Data Analytics Unit which should work closely with the design, manufacturing, and marketing departments. The expectations from this unit are mainly design a data analytics system, collect the relevant data, store them safely, process them as quickly as possible and extract the useful information out of collected data and distribute them to the required departments and units in a timely manner. Not to fall behind in competition with the other companies, particularly there is an urgent need to design new products and optimize the available production processes in the organization. The products are highly seasonal products, and the product design starts at least one season before the product reaches the market. Therefore, the timely availability of the products is very important for the organization. Further, the company prepares quarterly production plans using the data for forecasts of the products, inventory levels, inventory policy adopted, weekly average production volume, weekly demand for the products, and the available time and the workforce, which is fairly stable with no firing or hiring seasonally. Considering these information: 1. Design a Data Analytics System for this organization. (40-Mark) 2. How would you use the designed data analytics system to optimize the Product Design Process? What data you need and how you could use this data in the product design process? (30-Mark) 3. How would you use the designed data analytics system to optimize the production planning process? What data you need and how you could use this data in the production planning optimization process? (30-Mark)
A manufacturing