scholarly journals AI technologies: A key to unlock the door of Omni-channel capabilities

2020 ◽  
Vol 06 (9S) ◽  
pp. 105-115
Author(s):  
Vidushi and Dr. R Kashyap
Keyword(s):  
Supply Chain ◽  
Data Management ◽  
Customer Experience ◽  
Supply Chain Efficiency

The purpose of this paper is to identify the drivers and enablers of using AI technologies in three important areas of Omni-channel retailing- customer experience, data management and supply chain efficiency. This paper also explores the different AI technologies which can be used by retailer to manage the supply chain, data and their engagement with customers. In this era of digitalization, online and offline retailers must come up with unique ways to get people to shop. AI technologies can provide better experience to customers while shopping and in turn improve the efficiency of retailers.

Buffet Effect Simulation Model on Demand Chain Management

2010 ◽  
Vol 44-47 ◽  
pp. 688-692
Author(s):  
Xiao Yan Wang ◽  
Jian Sun
Keyword(s):  
Supply Chain ◽  
Side Information ◽  
Bullwhip Effect ◽  
Chain Management ◽  
Demand Chain ◽  
Supply Chain Efficiency ◽  
Demand Fluctuations ◽  
Partner Collaboration ◽  
Transmission Ability ◽  
Demand Chain Management

Bullwhip effect means the magnification of demand fluctuations, which is evident in a supply chain when demand increases and decreases, while the concept of Demand Chain Management means to make the planning on the basis of the demand side information so as to solve the problem of inconsistent upstream and downstream information by means of partner collaboration in the supply chain. Demand chain emphasizes the customer demand as its core value so as to achieve the best balance between the supply chain efficiency and customer satisfaction. Compared with the supply chain, the demand chain advises the enterprise to strengthen the information transmission ability to promote the performance. Under the demand chain management, the extent of bullwhip effect are weakened, and the fluctuation range against demand chain management is lower than against traditional supply chain.

A Framework for Secure and Trustworthy Data Management in Supply Chain

2019 ◽  
pp. 148-159
Author(s):  
Shinsaku Kiyomoto ◽  
Yuto Nakano ◽  
Atsushi Waseda ◽  
Toru Nakamura ◽  
Masahito Ishizaka ◽  
...  
Keyword(s):  
Supply Chain ◽  
Data Management

scholarly journals Optimizing the Supply Chain in a Fuel Process Industry

2021 ◽  
Vol 12 (5) ◽  
pp. 549-553
Author(s):  
Amit Agrawal
Keyword(s):  
Supply Chain ◽  
Performance Management ◽  
Inventory Management ◽  
Best Practice ◽  
Business Processes ◽  
Raw Material ◽  
Bottom Line ◽  
Supply Chain Efficiency ◽  
Value Streams ◽  
And Performance

The Supply Chain Improvement (SCO) project is being introduced by KNPC, which recognises the major business advantages of improved hydrocarbon supply chain efficiency. The objectives of this work is to strengthen, optimise, and integrate supply scheduling and processes not just at stage of enterprise, but also throughout the entire KNPC framework. This is expected to lead to an improvement in the company's bottom line and facilitate the management of business operations at the highest level of efficiency, agility and profitability. In ever changing market conditions and globally competitiveness, it is necessary that raw material supply storage and product delivery were carried out at the lowest possible time and efficiency. Otherwise export oriented refinery like KNPC cannot remain in business with profit. KNPC has therefore embarked on ambitious multi-year operational excellence programs aimed at enhancing its operations and business processes that include short / mid-term planning, scheduling, accounting for growth, inventory management, and performance management. The aim is to achieve top-quartile financial results by accessing new value streams, encapsulating business processes of best practice and motivating employees of businesses to work in a collaborative atmosphere within the global and cross-functional business cycle to make smarter, quicker and more competitive choices.

scholarly journals Enterprise Intelligent Procurement Management Model Exploration

2021 ◽  
Author(s):  
Baixing Yang ◽  
Sai Yang
Keyword(s):  
Supply Chain ◽  
Balanced Scorecard ◽  
Maturity Model ◽  
Procurement Management ◽  
The Balanced Scorecard ◽  
Supply Chain Efficiency ◽  
Development Direction ◽  
Procurement System ◽  
Benchmarking System

With the development of big data analysis, blockchain and other technologies, the supply chain of enterprises is transforming to lean and intelligent. As an important link in the enterprise supply chain, the intelligent transformation of procurement plays an important role in the improvement of the supply chain efficiency, therefore, the construction of a common method supporting the intelligent upgrade of the enterprise procurement business has become a key concern for enterprise managers. Based on the balanced scorecard theory and the supply chain maturity model, this study combines the actual situation of procurement management in Chinese energy enterprises and constructs a procurement benchmarking system that balances the development direction of the industry and the actual needs of enterprises. Meanwhile, based on the grounded theory, three major themes of the intelligent procurement system (digital business module, procurement synergy mechanism and procurement ecosystem) are extracted to provide a methodological reference for the construction of intelligent procurement systems of energy enterprises. The study concludes with a case study of China National Energy Group Materials Company to demonstrate the application of the intelligent procurement system built in this paper, with a view to providing methodological reference for the intelligent procurement management in energy enterprises.

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