Knowledge Value Chain Model Implemented for Supply Chain Management Performance

2009 ◽  
Author(s):  
Ming-Chang Lee ◽  
Mei-Wen Han
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Value Chain ◽  
Chain Model ◽  
Management Performance ◽  
Chain Management ◽  
Knowledge Value Chain ◽  
Knowledge Value

Consumer driven and bi‐directional value chain diffusion models

2003 ◽  
Vol 15 (6) ◽  
pp. 390-400 ◽  
Author(s):  
Göran Svensson
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Diffusion Model ◽  
Value Chain ◽  
Diffusion Models ◽  
Point Of View ◽  
Chain Model ◽  
Chain Management

This article provides a non‐mainstream discussion on the value chain concept, which challenges generally believed positions in the area of supply chain management. The author argues that the ultimate consumer is the trigger in the supply chain. The article discusses the concept of value and the value chain, and proposes a modified meaning and interpretation of the value chain model from the point of view of a holistic supply chain context. The author proposes a modified consumer driven value chain diffusion model and an extended bi‐directional value chain diffusion model.

scholarly journals Supply Chain Management and the Covid-19 Outbreak: Optimizing its Role for Indonesia

2020 ◽  
Vol 3 (2) ◽  
pp. 196-202
Author(s):  
Siti Amalia ◽  
Dio Caisar Darma ◽  
Siti Maria
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Supply And Demand ◽  
Chain Model ◽  
Chain Management ◽  
New Normal ◽  
Food Supply Chains ◽  
Long Time ◽  
Demand Patterns

At the beginning of the emergence of Covid-19, there was panic buying in Indonesia which caused an unusual situation in supply management. Although the handling of this epidemic has entered a "new normal", the availability of stocks of electronics, automotive, pharmaceuticals, food, and others is running low and out of control, so supply chain management is needed. The purpose of this article is to try to see the extent of the transformation in supply and demand in Indonesia. With this in-depth literature, the supply chain model is likely to transform globally, given that many companies are confused about management being unable to cope with drastic changes in the market. The demand patterns over the past period indicate a shift from offline to online storefronts. Even though it has now entered a transition to a new normal and shopping outlets are slowly opening up, online shopping or demand patterns are predicted to last a long time. Therefore, supply chain actors, especially farmers, logistics entrepreneurs, and shipping services, inevitably have to be able to quickly adapt to changing patterns in Indonesia. There is an imbalance between the demand and supply sides. Food supply chains tend to be unique in comparison to the supply chains of other products and services.

Data-driven quality improvement approach to reducing waste in manufacturing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rose Clancy ◽  
Dominic O'Sullivan ◽  
Ken Bruton
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Quality Management ◽  
Process Improvement ◽  
Six Sigma ◽  
Data Driven ◽  
Manufacturing Processes ◽  
Management Performance ◽  
Chain Management ◽  
Content Type

PurposeData-driven quality management systems, brought about by the implementation of digitisation and digital technologies, is an integral part of improving supply chain management performance. The purpose of this study is to determine a methodology to aid the implementation of digital technologies and digitisation of the supply chain to enable data-driven quality management and the reduction of waste from manufacturing processes.Design/methodology/approachMethodologies from both the quality management and data science disciplines were implemented together to test their effectiveness in digitalising a manufacturing process to improve supply chain management performance. The hybrid digitisation approach to process improvement (HyDAPI) methodology was developed using findings from the industrial use case.FindingsUpon assessment of the existing methodologies, Six Sigma and CRISP-DM were found to be the most suitable process improvement and data mining methodologies, respectively. The case study revealed gaps in the implementation of both the Six Sigma and CRISP-DM methodologies in relation to digitisation of the manufacturing process.Practical implicationsValuable practical learnings borne out of the implementation of these methodologies were used to develop the HyDAPI methodology. This methodology offers a pragmatic step by step approach for industrial practitioners to digitally transform their traditional manufacturing processes to enable data-driven quality management and improved supply chain management performance.Originality/valueThis study proposes the HyDAPI methodology that utilises key elements of the Six Sigma DMAIC and the CRISP-DM methodologies along with additions proposed by the author, to aid with the digitisation of manufacturing processes leading to data-driven quality management of operations within the supply chain.

Hidden allies for value chain responsibility? A system theory perspective on aligning sustainable supply chain management and trade compliance

2020 ◽  
Vol 50 (4) ◽  
pp. 439-456
Author(s):  
Carolin Baier ◽  
Markus Beckmann ◽  
Jens Heidingsfelder
Keyword(s):  
System Theory ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Value Chain ◽  
Research Agenda ◽  
Sustainable Supply Chain ◽  
Evolutionary System ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management

PurposeThe paper investigates how the alignment of two corporate functions, sustainable supply chain management (SSCM) and trade compliance (TC) can help companies to take corporate value chain responsibility (VCR). In particular, the authors investigate how evolutionary system theory can explain the coevolution of two distinct VCR functions (SSCM and TC) and the potential and challenges for their future alignment.Design/methodology/approachThe authors introduce evolutionary system theory as a powerful explanatory perspective to the field of VCR, SSCM and TC. By applying evolutionary system theory to the VCR debate, the authors analyze the potential for aligning both functions. They further analyze the inherent challenges of such an alignment by discussing the concept of organizational path dependencies.FindingsThe paper spells out a research agenda and formulates testable propositions for further investigating the interplay of environment and system as well as the structural options for a functional alignment of SSCM and TC.Originality/valueThe corporate function of TC has been widely overlooked by supply chain and sustainability scholars. This paper adds the function of TC to the wider discussion on SSCM and corporate VCR. Furthermore, the paper develops a research agenda for a pioneer topic and triggers discussion in academia and corporate practice.

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