Collaborative fractal-based supply chain management based on a trust model for the automotive industry

2010 ◽  
Vol 22 (3-4) ◽  
pp. 183-213 ◽  
Author(s):  
Seungjin Oh ◽  
Kwangyeol Ryu ◽  
Ilkyeong Moon ◽  
Hyunbo Cho ◽  
Mooyoung Jung
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Automotive Industry ◽  
Trust Model ◽  
Chain Management

scholarly journals Erratum to: Collaborative fractal-based supply chain management based on a trust model for the automotive industry

2011 ◽  
Vol 24 (2) ◽  
pp. 210-210
Author(s):  
Seungjin Oh ◽  
Kwangyeol Ryu ◽  
Ilkyeong Moon ◽  
Hyunbo Cho ◽  
Mooyoung Jung
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Automotive Industry ◽  
Trust Model ◽  
Chain Management

scholarly journals Transparency for Multi-Tier Sustainable Supply Chain Management: A Case Study of a Multi-tier Transparency Approach for SSCM in the Automotive Industry

2020 ◽  
Vol 12 (5) ◽  
pp. 1814 ◽  
Author(s):  
Iain J. Fraser ◽  
Martin Müller ◽  
Julia Schwarzkopf
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Automotive Industry ◽  
Raw Material ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Before And After ◽  
Sustainability Problems

Sustainability in supply chain management (SSCM) has become established in both academia and increasingly in practice. As stakeholders continue to require focal companies (FCs) to take more responsibility for their entire supply chains (SCs), this has led to the development of multi-tier SSCM (MT-SSCM). Much extant research has focused on simple supply chains from certain industries. Recently, a comprehensive traceability for sustainability (TfS) framework has been proposed, which outlines how companies could achieve MT-SSCM through traceability. Our research builds on this and responds to calls for cases from the automotive industry by abductively analysing a multi-tier supply chain (MT-SC) transparency case study. This research analyses a raw material SC that is particularly renowned for sustainability problems—the cobalt supply chain for electric vehicles—and finds that the extant literature has oversimplified the operationalisation of transparency in MT-SSCM. We compare the supply chain maps of the MT-SC before and after an auditing and mapping project to demonstrate the transparency achieved. Our findings identify challenges to the operationalisation of SC transparency and we outline how FCs might set to increase MT-SC transparency for sustainability.

scholarly journals Scenario Development for Collaborative Financial Supply Chain Management in the Automotive Industry

2019 ◽  
Vol 39 ◽  
pp. 1538-1544
Author(s):  
Veli Matti Virolainen ◽  
Miia Pirttilä ◽  
Lotta Lind ◽  
Timo Kärri
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Automotive Industry ◽  
Scenario Development ◽  
Chain Management

Fuzzy Quantitative Approach to Prioritize Green Factors in Supply Chain

2014 ◽  
Vol 592-594 ◽  
pp. 2645-2653
Author(s):  
K.R. Anand ◽  
Ramalingaiah ◽  
P. Parthiban
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Automotive Industry ◽  
Quality Function Deployment ◽  
Quantitative Approach ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Customer Requirements ◽  
Chain Management ◽  
Quality Function

Eco Design integrates environmental thinking into product design and packaging including in its production, consumption and disposal of the product life cycle in the supply chain. In today’s scenario eco design is very important for saving our environment. This papers aims to investigate the technology, organization and environment factors of the eco design that influence the adoption of Green Supply Chain Management using Fuzzy Quality Function Deployment (FQFD). Quality function deployment (QFD) is a planning and problem-solving methodology used to translate customer requirements (CRs) into technical requirements (TRs) in the Course of new product development (NPD). In the proposed model, fifteen fundamental requirements of customers are identified and eight main factors of eco design are derived to satisfy the overall requirements as detailed. The importance of the customer requirements and relationship strength were identified as linguistic data. We have collected data for the criteria from the decision makers of the automotive industry. Under different situation the values of subjective data are often inaccurate so we have applied Fuzzy Quantitative Approach to overcome this deficiency of high subjectivity and low reliability. This study shows the fuzzy logic using Quality Function Deployment for easy decision making. So this proposed method shows the final ranking of the important eco design factors that influences the adoption of Green Supply Chain Management in the automotive industry. The final result of paper gives Stakeholder Cooperation is the most important factors of eco design.

scholarly journals A Proposed Supply Chain Model of Blockchain Technology-Based in Automotive Component Industry

2020 ◽  
Vol 8 (5) ◽  
pp. 3110-3114
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Automotive Industry ◽  
Process Technology ◽  
Chain Management ◽  
Automotive Component ◽  
Automotive Components ◽  
Blockchain Technology ◽  
Automotive Component Industry ◽  
Inbound Logistics

The automotive industry has rapidly developed and overrun the market for the last decade. In this context, automotive components or parts are essential factors to manufacture automotive products. Undoubtedly, the supplier that provides the automotive components or inbound logistics becomes a critical party of Supply Chain Management activity. In this frame, the failure of inbound logistics potentially creates a severe implication to the automotive industry in terms of the financial effects, company image to damage the customer. Arguably, the supplier activities encompass the continuity of automotive components delivery, on-time delivery schedule, supplier and customer relationship maintenance, and financial operation. In this point, the problem identifies the distribution of automotive components and stock maintenance. Therefore, this qualitative research is essential to explore a proposed Blockchain Technology model in Supply Chain Management (BlcSCM), especially in the automotive component industry. On that basis, design science research methodology facilitates to create a proposed model, Leavitt Diamond. In this model, the essential factors (people, process, technology, and organization) merges with supply chain management. Finally, it refers to the Blockchain Technology model in Supply Chain Management.

Sign in / Sign up

Export Citation Format

Share Document