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Rutgers the State University of New Jersey

Supply Chain Analytics

Welcome to Supply Chain Analytics - the art and science of applying data analytics to assess and improve supply chain performance! A supply chain is a complex system with conflicting objectives of cost efficiency and customer satisfaction. Supply chain management is becoming increasingly data driven. Through the real-life story and data of a major US telecommunication company, you will learn the analytics tools / skills to diagnose and optimize a supply chain. Upon completion of this course, you will be able to 1. Use data analytics to assess the impact of various strategies on all aspects of a supply chain, from inventory, shipping, to warehouse order fulfillment, store operations and customer satisfaction. 2. Customize the supply chain strategy by product to improve the overall cost efficiency without sacrificing customer service. 3. Obtain hands-on experience on the application and financial impact of analytics in integrated supply chain and logistics planning. VASTA (name disguised) is a major wireless carrier in the US selling cell phones through a national network of retail stores. Recently, it wrote off a huge amount of obsolete inventory each year and was suffering a significant cost inefficiency in an increasingly stagnant market. VASTA must assess the competitive environment, and renovate its supply chain to stay competitive. At the end of this course, you will help VASTA save $billions on supply chain cost and retain its leadership in a stagnant and saturated market. I hope you enjoy the course!

状态:Benchmarking
状态:Customer Analysis
初级课程小时

精选评论

CD

5.0评论日期:Apr 22, 2020

Very useful to gain insights about the quantitative analysis of the data collected in any supply chain and apply different strategies accordingly.

SM

5.0评论日期:Jun 7, 2020

An excellent course in supply chain management domain giving an overview about various factors affected in supply chain which leads toward implement a successful supply chain in an organization.

UA

5.0评论日期:Apr 14, 2025

A good course on basic understanding of supply chain analytics, how it can support in switching business models and what are the main area which would effect the overall business dynamics.

YH

4.0评论日期:Jun 12, 2020

This is an excellent course to start with Supply Chain Analytics. It provides a good thought triggering way for Supply Chain Analytics.

GV

5.0评论日期:May 2, 2020

The class starts off quite easy actually, Specially if you have experience in logistics. Lots of common sense, but the project is definitely analytical.

TN

5.0评论日期:Dec 20, 2020

The course is user friendly and at the right level for beginner to catch up with clear definition and concepts about Push, pull strategy as well as great Excel tactics

SS

5.0评论日期:May 27, 2020

This is a very good course in supply chain, it focuses on Push & Pull strategies in different scenarios. The explanation was precise and brief. Thank you Coursera & Rutgers University.

NA

5.0评论日期:Apr 9, 2020

A fantastic course wherein there is a right blend of conceptual clarity and numerical rigor to understand the classic trade-off between supply chain costs and customer order service-levels.

SV

4.0评论日期:May 6, 2020

Excellent overview in a brief course to drive the need for data-support decision making in Supply Chain. Would love to see a more in depth course as well. Thank you!

VK

5.0评论日期:Sep 27, 2021

This course consists of fundamentals of supply chain analyst and delivered by the professor in a simpler way to enhance its meaning on the deliverables. Thank you!

NA

5.0评论日期:Aug 3, 2020

The whole course was very smooth & steady. I understood every topic very well. Thank you very much Coursera as well as Professor Yao Zhao Sir for helping me understand the basics of Supply Chain.

AA

5.0评论日期:Jul 24, 2021

this course is really have good information about supply chain analytics. i have learned about the push and pull strategies and how to calculate that which we should prefer.

所有审阅

显示:20/180

Aaron Wermuth
1.0
评论日期:Sep 17, 2021
Santosh Kumar Behera
5.0
评论日期:Aug 20, 2023
Aditya Mohan
5.0
评论日期:Sep 3, 2020
Peter Gregory
5.0
评论日期:Jun 10, 2020
Jenna Weng
5.0
评论日期:Mar 30, 2023
Senthil Kumar
5.0
评论日期:Apr 4, 2020
yohannes birru
5.0
评论日期:Jun 6, 2022
Subramani Yogesh
5.0
评论日期:May 26, 2021
Pawan Joshi
5.0
评论日期:Feb 10, 2020
Nitish Bhagat
5.0
评论日期:Jan 9, 2022
Andrea Cortés Correa
5.0
评论日期:May 31, 2020
Jolas Ricohermoso
5.0
评论日期:Jun 28, 2020
indri hapsari
5.0
评论日期:Jun 14, 2020
Nusayer Abrar
5.0
评论日期:Aug 3, 2020
Sumedh Rao Mapare
5.0
评论日期:Jun 8, 2020
Suhas Wathare
5.0
评论日期:Jan 13, 2021
Nagendra Aswatha
5.0
评论日期:Apr 10, 2020
Usman Ahmed
5.0
评论日期:Apr 15, 2025
Shakil Ibnay Wahid
5.0
评论日期:May 30, 2020
Sushant Borkar
5.0
评论日期:May 21, 2021