Manufacturing traceability data management in the supply chain

2009 ◽  
Vol 8 (3) ◽  
pp. 321 ◽  
Author(s):  
Julio Garrido Campos ◽  
Luis Rodriguez Miguez
Keyword(s):  
Supply Chain ◽  
Data Management

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

BUSINESS ANALYTICS FOR SUPPLY CHAIN: A DYNAMIC-CAPABILITIES FRAMEWORK

2013 ◽  
Vol 12 (01) ◽  
pp. 9-26 ◽  
Author(s):  
BONGSUG (KEVIN) CHAE ◽  
DAVID L. OLSON
Keyword(s):  
Supply Chain ◽  
Data Management ◽  
Performance Management ◽  
Dynamic Capabilities ◽  
Process Capability ◽  
Supply Chain Performance ◽  
Chain Process ◽  
Business Analytics ◽  
Management Capability ◽  
Supply Chain Process

Supply chain management has become more important as an academic topic due to trends in globalization leading to massive reallocation of production related advantages. Because of the massive amount of data that is generated in the global economy, new tools need to be developed in order to manage and analyze the data, as well as to monitor organizational performance worldwide. This paper proposes a framework of business analytics for supply chain analytics (SCA) as IT-enabled, analytical dynamic capabilities composed of data management capability, analytical supply chain process capability, and supply chain performance management capability. This paper also presents a dynamic-capabilities view of SCA and extensively describes a set of its three capabilities: data management capability, analytical supply chain process capability, and supply chain performance management capability. Next, using the SCM best practice, sales & operations planning (S&OP), the paper demonstrates opportunities to apply SCA in an integrated way. In discussing the implications of the proposed framework, finally, the paper examines several propositions predicting the positive impact of SCA and its individual capability on SCM performance.

Blockchain for Convergence Science in Mental Health

2021 ◽  
pp. 345-358
Author(s):  
Wendy Charles
Keyword(s):  
Mental Health ◽  
Supply Chain ◽  
Data Processing ◽  
Data Management ◽  
General Public ◽  
Development Stage ◽  
Health Community ◽  
Management Technology

Blockchain is an innovative data management technology using distributed ledgers that has potential to achieve efficiency in data processing and greater control over healthcare record access. Interest is growing beyond uses for cryptocurrency, but blockchain technologies remain poorly understood in the general public and healthcare community. While there are many promising uses for healthcare and supply chain, most potential uses of blockchain for mental health are still in the pilot or development stage. This chapter presents blockchain to the mental health community with a detailed introduction to the unique facets blockchain with a few examples of current uses of blockchain in healthcare with promising proposed uses for mental health.

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.

An Examination of Standardized Product Identification and Business Benefit

2012 ◽  
pp. 387-411
Author(s):  
Douglas S. Hill
Keyword(s):  
Supply Chain ◽  
Best Practices ◽  
Data Management ◽  
Supply Chains ◽  
Complex World ◽  
Supply Chain Risk ◽  
Organisational Capabilities ◽  
Product Identity ◽  
Product Identification ◽  
Associated Data

This chapter goes on a supply chain journey where humankind attempts to make sense of its complex world through the application of numbers and associated data carriers. The trading world is famously becoming increasingly globalised and has had the effect of extending supply chains and subsequently making them more complex and prone to risk. To offset these risks, standards are being developed and applied in supply chains to identify and manage products as they travel along the physical supply chain. The following pages introduce the reader to the concepts of standardised product identity and data management. Both of these elements have been found to be foundational and enabling prerequisites when offsetting supply chain risk. The systems mentioned within the chapter are discussed through the lens of the GS1 system and have all been tested in manifold implementations. They are intended as best practices, patterns of application for supply chain managers, and thought leaders alike, which are proposed as a launch pad for improving organisational capabilities using standards.

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