Emergence of the Industrial Internet of Things (IIoT) is Poised to Disrupt Existing Supply Chain Operations

This study examines the transformations in global supply chains mainly based on the key disruptive themes that have sprung from the Industrial Internet of Things (IIoT). It also analyses the challenges faced across the supply chain, market motivators, and the implementation approach of key applications within each theme.

In this research, the expert analysts thoroughly study the following disruptive themes: Smart products, Control On-the-go, Track and Trace, Advanced Supply Chain Management (SCM), Big Data and Analytics, and Advanced Logistics. The research focus is primarily on supply chain operations conducted across key industrial sectors (process and discrete industries).

Big Data and Analytics

The influx of Big Data across the supply chain, in particular unstructured data, has resulted in key value chain participants looking for stateof-the-art analytical platforms to convert raw data into actionable insights that improve the overall operational efficiency.

Key Questions Answered

- What are the key activities in a traditional supply chain for industrial markets?

- What are some of the key themes driven by the advent of the IIoT?

- What are some of the supply-chain related challenges faced by end users and which themes address the aforementioned challenges?

- What are some of the key process variables monitored using intelligent devices and sensors and what are some of the key applications where end users are looking to implement such devices?

- What are the benefits of using a commercial smartphone compared to industrial grade handheld devices and what are some key metrics monitored using the same across the supply chain?

- Why are track and trace solutions gaining wide-scale acceptance in the current market and what is the size of the opportunity for traceability software?

- In addition to traditional SCM solutions, what are some the niche areas that solution providers are looking at further to optimize operations?

- What are some of the key data sources across the supply chain and how are end users leveraging such data to gain insights?

- What are end users doing to reduce logistical expenses and improve their transportation operations?

Key Topics Covered:

1. Executive Summary

2. Industrial Internet of Things - A Research Perspective

3. Research Scope and Objectives

4. Introduction: IIoT Arrival to Spawn a Number of Opportunities Across Vital Supply Chain Activities

5. Smart Products: Taking Advantage of High Sensor Penetration and Wireless Communications to Monitor Supply Chain Process Variables

6. Control-on-the-goAnytime, Anywhere Access of Vital Data to Key Value Chain Participants

7. Track and Trace: Implementation Traceability Solutions for Product Authentication, Validation, and Compliance Across the Supply Chain

8. Advanced SCM: Extending In-built Functionality of Traditional Supply Chain Business Systems to Improve Process Efficiency

9. Big Data and Analytics: Collating and Analyzing Multiple Data Structures Across the Supply Chain to Enhance Internal and External Operational Strategy

10. Advanced Logistics: Facilitating Real-time Logistical Tracking and Last Minute Adjustments to Reduce High Transportation Costs

11. Conclusion: Summary of Key Themes Poised to Change the Dynamics of Supply Chain Related Activities

For more information visit http://www.researchandmarkets.com/research/dx8dsq/supply_chain

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