Data science, operations research and analytics play a central role in strengthening our supply chains

2021 ◽  
Keyword(s):  
Supply Chains ◽  
Operations Research ◽  
Data Science ◽  
Science Operations

scholarly journals Quality and Operations Management in Food Supply Chains: A Literature Review

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Yong He ◽  
Hongfu Huang ◽  
Dong Li ◽  
Chunming Shi ◽  
Sarah J. Wu
Keyword(s):  
Literature Review ◽  
Supply Chains ◽  
Operations Research ◽  
Operations Management ◽  
Food Supply ◽  
Research Field ◽  
Food Supply Chains ◽  
The Past ◽  
Starting Point

We present a literature review on quality and operations management problems in food supply chains. In food industry, the quality of the food products declines over time and should be addressed in the supply chain operations management. Managing food supply chains with operations management methods not only generates economic benefit, but also contributes to environmental and social benefits. The literature on this topic has been burgeoning in the past few years. Since 2005, more than 100 articles have been published on this topic in major operations research and management science journals. In this literature review, we concentrate on the quantitative models in this research field and classify the related articles into four categories, that is, storage problems, distribution problems, marketing problems, and food traceability and safety problems. We hope that this review serves as a reference for interested researchers and a starting point for those who wish to explore it further.

Case

2013 ◽  
Vol 4 (4) ◽  
pp. 57-74
Author(s):  
Durai Sundaramoorthi
Keyword(s):  
Operations Research ◽  
Real Life ◽  
Point System ◽  
Brand Name ◽  
User Friendliness ◽  
Binary Integer Programming ◽  
Undergraduate Level ◽  
Premier League ◽  
Science Operations ◽  
Selection Of

Cricket is a bat-and-ball team sport, played by two teams with eleven players on each side. Recently, a new format of cricket called ‘Twenty20’ (T20) was introduced, which has increased the excitement, fan following, and business opportunities in cricket. In 2008, Indian Premier League (IPL) was created with eight city-based franchises. Two more franchises were added in 2010. The focus of this case is on the selection of the playing eleven for the team Kolkata Knight Riders (KKR), the most valued brand name among IPL franchises. Thirty five players were on the KKR team roster in the first two editions of the IPL. Unlike many other sports, the playing eleven cannot be changed in a cricket game once the game starts. The case aims to strengthen students’ ability to mathematically formulate a real life “yes-or-no” type decision. Binary Integer Programming (BIP) is a suitable choice for modeling “yes-or-no” type decisions. The case, if provided with International Cricket Council (ICC) rankings data and in-house point system, will be appropriate for an undergraduate level management science/operations research class. The same case will be suitable at graduate level, if students are expected to gather ICC rankings data and build in-house point system. There are competing constraints that would lead to discussions about infeasibility. The case also points out the importance of interpretation of the solution and user friendliness of the model from an end user’s perspective.

scholarly journals Development of Smart Semiconductor Manufacturing: Operations Research and Data Science Perspectives

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 108419-108430 ◽  
Author(s):  
Marzieh Khakifirooz ◽  
Mahdi Fathi ◽  
Kan Wu
Keyword(s):  
Operations Research ◽  
Semiconductor Manufacturing ◽  
Data Science ◽  
Manufacturing Operations

scholarly journals Using Data Science Software to Address Health Disparities

2021 ◽  
Vol 6 (2) ◽  
pp. 45-58
Author(s):  
Jose O. Huerta ◽  
Gayle L. Prybutok ◽  
Victor R. Prybutok
Keyword(s):  
Machine Learning ◽  
Health Disparities ◽  
Data Science ◽  
Science Technology ◽  
Science Operations ◽  
Using Data ◽  
Learning Software ◽  
Computational Processes

The article assesses data science software to evaluate the usefulness of data science technology in addressing concerns such as health disparities. Data science software was analyzed using KDnuggets data related to analytics, data science, and machine learning software. Data science functionalities include computational processes and frameworks that are relevant for healthcare. This study demonstrates the importance of leading applications for conducting data science operations that can improve care in healthcare networks by addressing such factors as health disparities.

Sign in / Sign up

Export Citation Format

Share Document