Integrating artificial intelligence into supply chain management: promise, challenges, and guidelines

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
HENRY ADOBOR ◽  
Iddrisu Awudu ◽  
Mario Norbis
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Chain Management

Use of Information Technology in the Supply Chain Management of the Pharmaceutical Industry

2022 ◽  
pp. 137-168
Author(s):  
Saibal Kumar Saha ◽  
Sangita Saha ◽  
Ajeya Jha
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Cloud Computing ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Pharmaceutical Industry ◽  
Successful Implementation ◽  
Chain Management ◽  
Role Of Information

An efficient supply chain management helps to increase the productivity of a business. Use of information technology and concepts like artificial intelligence, blockchain, and cloud computing have integrated the different aspects of supply chain with its stakeholders. Published literature in the field of SCM, IT, and the pharmaceutical industry has been reviewed, and different aspects of innovation, technique, risks, advancements, factors, and models have been taken into consideration to form a comprehensive chapter focusing on the role of information technology in the supply chain management of the pharmaceutical industry. The chapter finds that IT has made a significant impact in improving the efficiency of SCM. But its successful implementation and collaboration with other firms is the key to success for an efficient SCM. Within each category, gaps have been identified.

Applications of artificial intelligence in the apparel industry: a review

2011 ◽  
Vol 81 (18) ◽  
pp. 1871-1892 ◽  
Author(s):  
ZX Guo ◽  
WK Wong ◽  
SYS Leung ◽  
Min Li
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Apparel Industry ◽  
Apparel Design ◽  
Research Issues ◽  
Chain Management ◽  
Research Challenges ◽  
State Of Art

This paper presents a systematic review on the state-of-art of artificial intelligence (AI) applications in the apparel industry. The existing literature is reviewed based on different research issues and AI-based methodologies. The research issues are categorized into four categories on the basis of the operation processes of the apparel industry, including apparel design, manufacturing, retailing, and supply chain management. This paper shows that research on AI applications in the apparel industry is still limited by analyzing the limitations of previous studies and research challenges. Finally, suggestions for further studies are offered.

Multi-Agent Technology Application in the ASCM Model

2013 ◽  
Vol 706-708 ◽  
pp. 2017-2020
Author(s):  
Yi Xian Chai ◽  
Yan Li Xu ◽  
Dan Liu
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Agent Technology ◽  
Management Skills ◽  
Chain Management ◽  
Technology Application ◽  
Agile Supply Chain ◽  
Multi Agent ◽  
Supply Chain Management System

The bottlenecks of supply chain management need to be solved. The development of internet promotes the Agent technology. Internet makes the Agent technology become a powerful tool that breaks through the bottlenecks of the supply chain management skills. With the guidance of system engineering and methods, an agile supply chain management system with Agent technology of artificial intelligence is presented in this paper. The application of Multi-Agent technology in the ASCM model is discussed also. Results indicate that the application of Multi-Agent skill in the ASCM model is a feasible way of thinking and appropriate approach.

Nature-Inspired Intelligence in Supply Chain Management

2011 ◽  
pp. 1-31
Author(s):  
Vassilios Vassiliadis ◽  
Giorgos Dounias
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Optimization Problems ◽  
Real Life ◽  
Ant Colonies ◽  
Chain Management ◽  
Complex Optimization ◽  
Nature Inspired Intelligence ◽  
Optimum Solution

Supply chain management is a vital process for the competitiveness and profitability of companies. Supply chain consists of a large and complex network of components such as suppliers, warehouses, customers etc. which are connected in almost every possible way. Companies’ main aim is to optimize the components of these complex networks to their benefit. This constitutes a challenging optimization problem and often, traditional mathematical approaches fail to overcome complexity and to converge to the optimum solution. More robust methods are required sometimes in order to yield to the optimal. The field of artificial intelligence offers a great variety of meta-heuristic techniques which specialize in solving such complex optimization problems, either accurately, or by obtaining a practically useful approximation, even if real time constraints are imposed. The aim of this chapter is to present a survey of the available literature, regarding the use of nature-inspired methodologies in supply chain management problems. Nature-inspired intelligence is a specific branch of artificial intelligence. Its unique characteristic is the algorithmic imitation of real life systems such as ant colonies, flock of birds etc. in order to solve complex problems.

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