High resolution supply chain management: optimized processes based on self-optimizing control loops and real time data

2011 ◽  
Vol 5 (4) ◽  
pp. 433-442 ◽  
Author(s):  
Günther Schuh ◽  
Volker Stich ◽  
Tobias Brosze ◽  
Sascha Fuchs ◽  
Christian Pulz ◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
High Resolution ◽  
Real Time ◽  
Time Data ◽  
Chain Management ◽  
Control Loops ◽  
Real Time Data ◽  
Optimizing Control

Real-time data processing in supply chain management: revealing the uncertainty dilemma

2019 ◽  
Vol 49 (10) ◽  
pp. 1003-1019 ◽  
Author(s):  
Sabrina Lechler ◽  
Angelo Canzaniello ◽  
Bernhard Roßmann ◽  
Heiko A. von der Gracht ◽  
Evi Hartmann
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Data Processing ◽  
Real Time ◽  
Data Science ◽  
Research Question ◽  
Time Data ◽  
Chain Management ◽  
Content Type ◽  
Real Time Data Processing

Purpose Particularly in volatile, uncertain, complex and ambiguous (VUCA) business conditions, staff in supply chain management (SCM) look to real-time (RT) data processing to reduce uncertainties. However, based on the premise that data processing can be perfectly mastered, such expectations do not reflect reality. The purpose of this paper is to investigate whether RT data processing reduces SCM uncertainties under real-world conditions. Design/methodology/approach Aiming to facilitate communication on the research question, a Delphi expert survey was conducted to identify challenges of RT data processing in SCM operations and to assess whether it does influence the reduction of SCM uncertainty. In total, 14 prospective statements concerning RT data processing in SCM operations were developed and evaluated by 68 SCM and data-science experts. Findings RT data processing was found to have an ambivalent influence on the reduction of SCM complexity and associated uncertainty. Analysis of the data collected from the study participants revealed a new type of uncertainty related to SCM data itself. Originality/value This paper discusses the challenges of gathering relevant, timely and accurate data sets in VUCA environments and creates awareness of the relationship between data-related uncertainty and SCM uncertainty. Thus, it provides valuable insights for practitioners and the basis for further research on this subject.

scholarly journals Procedure for Modeling and Improving E-SCM Processes

2007 ◽  
pp. 1-21 ◽  
Author(s):  
P. Boonyathan ◽  
L. Al-Hakim
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Best Practices ◽  
Competitive Advantage ◽  
Real Time ◽  
Online Communication ◽  
The Internet ◽  
Process Mapping ◽  
Electronic Technology ◽  
Chain Management

Today’s managers are turning to the functions of the supply chain to improve margins and gain competitive advantage. The explosion of the Internet and other e-business technologies has made real-time, online communication throughout the entire supply chain a reality. Electronic supply chain management (e-SCM) is a reference to the supply chain that is structured via electronic technology-enabled relationships. This chapter concentrates on the development of a procedure referred to as eSCM-I for e-SCM process improvement. The procedure focuses on process mapping and relies on principles of coordination theory. It is based on SCOR to standardize the process and take advantage of this technique of benchmarking/best practices potential. The procedure employs IDEF0 technique for mapping the processes.

Intelligent Supply Chain Management with Automatic Identification Technology

2010 ◽  
pp. 1128-1249 ◽  
Author(s):  
Dong Li ◽  
Xiaojun Wang ◽  
Kinchung Liu ◽  
Dennis Kehoe
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Real Time ◽  
Business Models ◽  
Automatic Identification ◽  
Technological Advancement ◽  
Chain Management ◽  
Implementation Costs ◽  
Real Time Information ◽  
Near Future

RFID-enabled business models are proposed in this chapter to innovate supply chain management. The models demonstrated benefits from automatically captured real-time information in supply chain operations. The resulting visibility creates chances to operate businesses in more responsive, dynamic, and efficient scenarios. The actual initiative of such novel RFID enabled applications is therefore to encourage intelligent supply chain management to dynamically respond changes and events in real-time. As the RFID implementation costs are continuously decreasing, it is expected that more novel business models would be inspired by the technological advancement to foster more intelligent supply chains in the near future.

Managing the Network of Supply and Demand at AGL Energy

2018 ◽  
pp. 1-12
Author(s):  
Tim Coltman ◽  
Peter Reynolds ◽  
Frank Schlosser ◽  
Alan Thorogood
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Real Time ◽  
Supply And Demand ◽  
Price Variability ◽  
Chain Management ◽  
Customer Churn ◽  
The World ◽  
World Demand

AGL Energy operates in one of the most fiercely competitive markets in the world. Demand is volatile with high customer churn rates and supply procurement is real time with huge price variability. These characteristics make supply chain management difficult and the case study describes how information is used to match supply with demand.

Intelligent Supply Chain Management with Automatic Identification Technology

2007 ◽  
pp. 202-223
Author(s):  
D. Li
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Real Time ◽  
Business Models ◽  
Automatic Identification ◽  
Technological Advancement ◽  
Chain Management ◽  
Implementation Costs ◽  
Real Time Information ◽  
Near Future

RFID-enabled business models are proposed in this chapter to innovate supply chain management. The models demonstrated benefits from automatically captured real-time information in supply chain operations. The resulting visibility creates chances to operate businesses in more responsive, dynamic, and efficient scenarios. The actual initiative of such novel RFID enabled applications is therefore to encourage intelligent supply chain management to dynamically respond changes and events in real-time. As the RFID implementation costs are continuously decreasing, it is expected that more novel business models would be inspired by the technological advancement to foster more intelligent supply chains in the near future.

Cassandra-based data repository design for food supply chain traceability

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sandeep Kumar Singh ◽  
Mamata Jenamani
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Radio Frequency Identification ◽  
Query Language ◽  
Data Repository ◽  
Time Data ◽  
Content Type ◽  
The Real ◽  
Traceability System ◽  
Real Time Data

Purpose The purpose of this paper is to design a supply chain database schema for Cassandra to store real-time data generated by Radio Frequency IDentification technology in a traceability system. Design/methodology/approach The real-time data generated in such traceability systems are of high frequency and volume, making it difficult to handle by traditional relational database technologies. To overcome this difficulty, a NoSQL database repository based on Casandra is proposed. The efficacy of the proposed schema is compared with two such databases, document-based MongoDB and column family-based Cassandra, which are suitable for storing traceability data. Findings The proposed Cassandra-based data repository outperforms the traditional Structured Query Language-based and MongoDB system from the literature in terms of concurrent reading, and works at par with respect to writing and updating of tracing queries. Originality/value The proposed schema is able to store the real-time data generated in a supply chain with low latency. To test the performance of the Cassandra-based data repository, a test-bed is designed in the lab and supply chain operations of Indian Public Distribution System are simulated to generate data.

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