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

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.

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.

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 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.

scholarly journals PROPOSING A MODEL OF GREEN SUPPLY CHAIN MANAGEMENT BASED ON NEW PRODUCT DEVELOPMENT (NPD) IN AUTO INDUSTRY

2021 ◽  
Vol 9 (1) ◽  
pp. 28-36
Author(s):  
Ali Einizadeh ◽  
Ahmadreza Kasraei ◽  
Vahidreza Mirabi
Keyword(s):  
Supply Chain ◽  
Grounded Theory ◽  
Supply Chain Management ◽  
New Product Development ◽  
Automotive Industry ◽  
Auto Industry ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Green Model

Purpose: The present study is an attempt to provide a model of green supply chain management based on new product development (NPD) in the auto industry. Methodology: In the present study, the method of grounded theory has been used to develop a model. The required data were collected through interviews with academic experts, auto industry managers, and a review of documented meta-data and relevant reports. The sampling continued until the saturation of categories using the theoretical sampling method. The research data were analyzed simultaneously with the data collection during the three stages of open, axial, and selective coding. This process led to the development of the green model of supply chain management following NPD in the auto industry based on the grounded theory. Main Findings: The findings of this study suggest that managers must carefully consider all categories and subcategories identified in this study and have the necessary and sufficient information about each item to implement the green supply chain management successfully based on NPD in the automotive industry. Application of Study: This research indicates the need to pay attention to green supply chain management based on the development of new products in the automotive industry. Novelty/Originality:  Development of the green model of supply chain management following NPD in the auto industry based on the grounded theory.

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