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Leagal

Essay by   •  February 11, 2019  •  Case Study  •  454 Words (2 Pages)  •  9 Views

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Responses for End Term TBIT ePGP, IIM Ahmedabad

Name: Arjun Goyal, Roll no: 2235335

1. What are the opportunities that big data provides in manufacturing (from the case)? (2)

Following are the opportunities that big data provides in manufacturing:

  • Real-time monitoring of process parameters
  • Reducing downtime
  • Optimizing inventory
  • Distinguish between valuable and non-valuable Data

2. What are the drivers of deployment of enterprise manufacturing intelligence system

 a) In the Chemical Industry? (1)

  • Dealing with Variance in process

b) In Dow Jones? (4)

  • Troubleshooting in real time to make operators proactive rather than reactive
  • Ascertain which of the multiple builds to order configurations for a new chemical compound would have the least impact on manufacturing costs.
  • Developing substitutes for and variants of existing products
  • Maintaining consistency in practices when dealing with issues.

Name: Arjun Goyal, Roll no: 2235335

3. How could EMI help Dow? (5)

In process monitoring, univariate control charts have been the de facto standard in ensuring processes are operating within safe limits. As plants become more heavily instrumented with thousands of sensors and actuators, the large volume of data can easily overwhelm plant personnel.

As a result, many of the data streams are often not examined. Enterprise Manufacturing Intelligence (EMI) is a platform to contextualize critical plant key performance indicators (KPI) into dashboard for real-time visualization. Based on process knowledge, a troubleshooting guideline can then be built into the EMI platform, facilitating data and knowledge-driven decisions.

  • Troubleshooting in real time to make operators proactive rather than reactive
  • Ascertain which of the multiple builds to order configurations for a new chemical compound would have the least impact on manufacturing costs.
  • Developing substitutes for and variants of existing products
  • Maintaining consistency in practices when dealing with issues.

4. Why should Dow access data at the points of origin, in real time? (2)

Dow should access data at the points of origin, in real so that operators can be proactive in their problem-solving approach rather than reactive. It will reduce the number of breakdowns and hence increase the operational efficiency.

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