scholarly journals Supply Chain Management Model in Digital Quality Assurance for ASEAN University Network Quality Assurance (AUN-QA)

2019 ◽  
Vol 9 (4) ◽  
pp. 12
Author(s):  
Attiyaporn Kaewngam ◽  
Pinanta Chatwattana ◽  
Pallop Piriyasurawong
Keyword(s):  
Quality Assurance ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Management Model ◽  
Network Data ◽  
Chain Management ◽  
Sample Group ◽  
Network Quality ◽  
Technology And Communication ◽  
High Level

This research aims were to (1) design the supply chain management model in digital quality assurance for ASEAN quality assurance network (AUN-QA), and (2) assess the suitability of the supply chain management model. The sample group consisted of five experts in the field of information technology and communication for education and quality assurance of the ASEAN university network. Data analysis was the average mean and standard deviation. The research was found that (1) supply chain management model consists of six components: 1) Applicant, 2) University, 3) Graduate, 4) Employers, 5) Satisfaction, and 6) Feedback. (2) The results from experts agreement of the supply chain management model was a high level. It showed that the supply chain management model could be used to develop digital quality assurance for AUN-QA.

Supply Chain Management Model for Modular or Flexible Optimally Manned Ships

2014 ◽  
Author(s):  
Viviane Bonagrazia-Healey ◽  
Alain DeLeon ◽  
Hang Nguyen ◽  
Raymond Chun ◽  
David Faulk ◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Management Model ◽  
Chain Management

scholarly journals Implementation of Six Sigma in Supply Chain Management in Industries

2009 ◽  
pp. 141-144
Author(s):  
Himanshu S. Moharana ◽  
J.S. Murty ◽  
S. K. Senapati ◽  
K. Khuntia
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Six Sigma ◽  
Strategic Analysis ◽  
Process Mapping ◽  
Chain Management ◽  
Low Level ◽  
Implementation Model ◽  
High Level ◽  
Level Process

There is increasing concern about implementation failures in six sigma concept in supply chain management. The reason for many Six Sigma programmes to fail is due to an implementation model. Using a successful Six Sigma concept in an industry we have to perform strategic analysis driven by the market and the customer. It is necessary to establish a high- level, cross-functional team to drive the improvement initiative and to identify overall improvement tools. We can perform high-level process mapping and prioritize improvement opportunities. We have to develop a detailed plan for low-level improvement teams, and then to implement, document, and revise as necessary. This is important for both practitioners and academicians.

Building High Quality Big Data-Based Applications in Supply Chains

2018 ◽  
pp. 1-24 ◽  
Author(s):  
Kamalendu Pal
Keyword(s):  
Quality Assurance ◽  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Data Quality ◽  
Software Systems ◽  
Data Governance ◽  
Chain Management ◽  
Software Applications ◽  
Retail Business

Global retail business has become diverse and latest Information Technology (IT) advancements have created new possibilities for the management of the deluge of data generated by world-wide business operations of its supply chain. In this business, external data from social media and supplier networks provide a huge influx to augment existing data. This is combined with data from sensors and intelligent machines, commonly known as Internet of Things (IoT) data. This data, originating from the global retail supply chain, is simply known as Big Data - because of its enormous volume, the velocity with which it arrives in the global retail business environment, its veracity to quality related issues, and values it generates for the global supply chain. Many retail products manufacturing companies are trying to find ways to enhance their quality of operational performance while reducing business support costs. They do this primarily by improving defect tracking and better forecasting. These manufacturing and operational improvements along with a favorable customer experience remain crucil to thriving in global competition. In recent years, Big Data and its associated technologies are attracting huge research interest with academics, industry practitioners, and government agencies. Big Data-based software applications are widely used within retail supply chain management - in recommendation, prediction, and decision support systems. The spectacular growth of these software systems has enormous potential for improving the daily performance of retail product and service companies. However, there are increasingly data quality problems resulting in erroneous tesing costs in retail Supply Chain Management (SCM). The heavy investment made in Big Data-based software applications puts increasing pressure on management to justify the quality assurance in these software systems. This chapter discusses about data quality and the dimensions of data quality for Big Data applications. It also examines some of the challenges presented by managing the quality and governance of Big Data, and how those can be balanced with the need of delivery usable Big Data-based software systems. Finally, the chapter highlights the importance of data governance; and it also includes some of the Big Data managerial practice related issues and their justifications for achieving application software quality assurance.

Green Supply Chain Management Model for Sustainable Manufacturing Practices

2017 ◽  
pp. 153-189 ◽  
Author(s):  
Surajit Bag ◽  
Neeraj Anand ◽  
Krishan Kumar Pandey
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Manufacturing Sector ◽  
Sustainable Manufacturing ◽  
Green Supply Chain Management ◽  
Management Model ◽  
Green Supply Chain ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
The Relationship

The purpose of this chapter is to identify the dimensions of green supply chain and their impact on manufacturing practices. In this study, the authors used two extended strategies. First thorough review of literature was done considering articles from reputed journals. Second the factors identified from literature review was further refined through experts by forming a problem solving group consisting of seven experts from the manufacturing sector. These factors were used to develop the green supply chain management model using Interpretive structural modeling. Further MICMAC analysis was used to identify the driving and dependence power of the factors. The results of the analysis are very encouraging. Finally, the authors have presented the relationship management strategy for sustainable manufacturing practices.

scholarly journals Blockchains for Supply Chain Management: Architectural Elements and Challenges Towards a Global Scale Deployment

Logistics ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 5 ◽  
Author(s):  
Antonios Litke ◽  
Dimosthenis Anagnostopoulos ◽  
Theodora Varvarigou
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Global Scale ◽  
Chain Management ◽  
Architectural Elements ◽  
Blockchain Technology ◽  
High Level ◽  
The Impact ◽  
Digital Assets

Blockchains are attracting the attention of stakeholders in many industrial domains, including the logistics and supply chain industries. Blockchain technology can effectively contribute in recording every single asset throughout its flow on the supply chain, contribute in tracking orders, receipts, and payments, while track digital assets such as warranties and licenses in a unified and transparent way. The paper provides, through its methodology, a detailed analysis of the blockchain fit in the supply chain industry. It defines the specific elements of blockchain that affect supply chain such as scalability, performance, consensus mechanism, privacy considerations, location proof and cost, and details on the impact that blockchains will have in disrupting the supply chain industry. Discussing the tradeoff between consensus cost, throughput and validation time it proceeds with a suggested high-level architectural approach, and concludes as a result with a discussion on changes needed and challenges faced for an in-vivo deployment of blockchains in the supply chain industry. While the technological features of modern blockchains can effectively facilitate supply chain uses cases, the various challenges that still remain, bring in front of us a wide set of needed changes and further research efforts for achieving a global, production level blockchain for the supply chain industry.

scholarly journals Benchmarking supply chain management practices in a South African confectionery manufacturing organisation

2015 ◽  
Vol 9 (1) ◽  
Author(s):  
Orestes Peristeris ◽  
Peter J. Kilbourn ◽  
Jacobus Walters
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
South African ◽  
Best Practice ◽  
Management Practices ◽  
Business World ◽  
Chain Management ◽  
High Level ◽  
Practice Framework

Background: In an increasingly competitive business world, businesses need to be able to measure the effectiveness of their supply chain management process practices against proven best practice frameworks. A number of these frameworks exist internationally but have to be used within the context of knowing the relative strengths and weaknesses of potential benchmarking frameworks. Two such frameworks were identified in the research and a case was made to use one such framework, the Global Supply Chain Forum (GSCF) framework, to measure the effectiveness of the supply chain practices of a leading confectionery manufacturing company in South Africa.Objective of the research: The purpose of the research was to identify an international best practice framework, which could be used by South African manufacturing organisations to benchmark their supply chain management (SCM) practices.Methodology: The methodology followed was a literature review of the existing SCM frameworks to identify a framework, which would be the most suited to the objective of the study, followed by a case study of a leading manufacturing organisation’s SCM practices benchmarked against those found in the framework.Results and conclusions: The main finding of the case study was that there is a high degree of adherence between the case study organisation’s SCM practices and those found in the SCM framework. There was also generally a high level of importance ascribed by respondents to the best practices contained by the GSCF framework. It was therefore concluded that the GSCF framework proved to be a useful instrument for a comprehensive analysis of supply chain management processes and practices for a manufacturer in the fast moving consumer goods industry, with potential for applications by organisations in the supply chains of other industries.

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