The impact of EDI adoption on customer service in the automotive supply chain

2004 ◽  
Vol 4 (4) ◽  
pp. 336 ◽  
Author(s):  
Angel Martinez Sanchez ◽  
Manuela Perez
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Automotive Supply Chain ◽  
Automotive Supply ◽  
The Impact

scholarly journals THE IMPACT OF THE COVID-19 PANDEMIC ON SUPPLY CHAINS IN THE AUTOMOTIVE INDUSTRY

2020 ◽  
Author(s):  
Goran Milovanovic ◽  
◽  
Tamara Stankovic ◽  
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Automotive Industry ◽  
Business Relationships ◽  
Automotive Supply Chain ◽  
Automotive Supply ◽  
The Impact ◽  
Insight Into ◽  
Chain Level

Health crises have an impact on supply chains, mainly by disrupting their regular activities. In this research, the authors have analyzed the impact that the Covid-19 pandemic has made on business relationships between supply chain partners in the automotive industry and their suppliers, which are mostly from territories where the initial outbreak of the SARS COV 2 virus occurred. The analysis shows that in some cases, there is a strong dependency between the pandemic and production levels. Being dependent prevents supply chains from maintaining stability and causes system vulnerabilities. The authors conclude their work with a thesis on the pronounced impact of the current pandemic on automotive supply chain activities. For the analysis to be complete, it is necessary to monitor changes in production levels further, since data for the current year still does not provide a realistic insight into all the consequences at the supply chain level.

Modeling enablers of supply chain quality risk management: a grey-DEMATEL approach

2019 ◽  
Vol 32 (5) ◽  
pp. 1059-1076
Author(s):  
Anupama Prashar ◽  
Shikha Aggarwal
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Empirical Study ◽  
Early Stage ◽  
Content Type ◽  
Quality Risk Management ◽  
Automotive Supply Chain ◽  
Quality Risk ◽  
Automotive Supply ◽  
The Impact

Purpose The purpose of this paper is to recognize and model the enablers of supply chain quality risk management (SCQRM) through an empirical study in the Indian automotive companies. Design/methodology/approach A systematic literature review was conducted to extract the key enablers of quality management (QM) and risk management in the context of manufacturing supply chains. A grey-based DEMATEL method was employed to identify and model the key enablers of SCQRM. Findings The results of empirical study showed that the effectiveness of QM and risk management systems for automotive supply chain is driven by a set of common enablers that could be employed for developing dedicated SCQRM systems. The common causal factors in the model such as the involvement of top leaders, inter-firm communication and strategic-level alignment between supply chain members on both these issues clearly state that there is a need for a broader policy at an early stage. Practical implications It is crucial for the automotive companies to develop and implement structured systems for SCQRM keeping in view the impact of any unaddressed quality risk on missed production targets, vehicle recalls and safety hazards. Originality/value This study ascertains the key enablers of SCQRM with emblematic focus on automotive industry and identifies if there are commonalities in these enablers.

The Impact of E-mobility on Automotive Supply Chain

2014 ◽  
pp. 467-472
Author(s):  
Filippo Emanuele Ciarapica ◽  
Dominik Tobias Matt ◽  
Matteo Rossini ◽  
Pasquale Russo Spena
Keyword(s):  
Supply Chain ◽  
Automotive Supply Chain ◽  
Automotive Supply ◽  
The Impact

scholarly journals Blockchain Technology for Enhancing Traceability and Efficiency in Automobile Supply Chain—A Case Study

2021 ◽  
Vol 13 (24) ◽  
pp. 13667
Author(s):  
Nesrin Ada ◽  
Manavalan Ethirajan ◽  
Anil Kumar ◽  
Vimal K.E.K ◽  
Simon Peter Nadeem ◽  
...  
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Waiting Time ◽  
Traceability System ◽  
Blockchain Technology ◽  
Supply Chain Efficiency ◽  
Automotive Supply Chain ◽  
Mean Waiting Time ◽  
Implementation Methodology ◽  
Automotive Supply

A robust traceability system would help organizations in inventory optimization reduce lead time and improve customer service and quality which further enables the organizations to be a leader in their industry sector. This research study analyzes the challenges faced by the automotive industry in its supply chain operations. Further, the traceability issues and waiting time at different nodes of the supply chain are considered to be priority issues that affect the overall supply chain efficiency in the automotive supply chain. After studying the existing blockchain architectures and their implementation methodology, this study proposes a new blockchain-based architecture to improve traceability and reduce waiting time for the automotive supply chain. A hyper ledger fabric-based blockchain architecture is developed to track the ownership transfers in inbound and outbound logistics. The simulation results of the proposed hyper ledger fabric-based blockchain architecture show that there is an improvement in the traceability of items at different nodes of the supply chain that enhances the Inventory Quality Ratio (IQR) and the mean waiting time is reduced at the factory, wholesaler, and retailer, which thereby improves the overall supply chain efficiency. The blockchain embedded supply chain is more capable to eliminate the risks and uncertainties associated with the automotive supply chain. The benefits of adopting blockchain technology in the automotive supply chain are also described. The developed blockchain-based framework is capable to get more visibility into goods movement and inventory status in automotive supply chains.

scholarly journals Simulation software as a tool for supply chain analysis and improvement

2016 ◽  
Vol 13 (3) ◽  
pp. 983-998 ◽  
Author(s):  
Ramírez Sánchez ◽  
Mota Dulce ◽  
Giner Hernández ◽  
Luis Alcaraz ◽  
Tlapa Mendoza
Keyword(s):  
Sensitivity Analysis ◽  
Supply Chain ◽  
Cycle Time ◽  
Simulation Software ◽  
Base Line ◽  
Delivery Time ◽  
Time Production ◽  
Automotive Supply Chain ◽  
Adjustment Time ◽  
Automotive Supply

Effective decision making in the automotive supply chain is complex, due to the increasing number of suppliers and customers who form part of it. For this reason, the use of tools that allow to improve the performance of the supply chain is necessary. Simulation Software is one of these tools. Therefore, in this paper a simulation model to improve the performance of an automotive supply chain is developed. Using sensitivity analysis, this study finds the values that allow the supply chain to improve its order fulfilment indicator. In the sensitivity analysis, the variables Cycle Time, Production Adjustment Time, Delivery Time, Raw Material Inventory, and Finished Good Inventory, were modified. The results show that: 1) in the base line scenario, only the 78.85% of the orders are fulfilled, and 2) to fulfil the 100% of the orders Cycle Time, Production Adjustment Time, and Delivery Time must be reduced to one week.

scholarly journals Can Lean and Agile organisations within the UK automotive supply chain be distinguished based upon contextual factors?

2018 ◽  
Vol 23 (3) ◽  
pp. 239-254 ◽  
Author(s):  
Amir Qamar ◽  
Mark Hall
Keyword(s):  
Supply Chain ◽  
Resource Dependence ◽  
Contextual Factors ◽  
Resource Dependence Theory ◽  
Theory And Practice ◽  
Survey Analysis ◽  
Content Type ◽  
Automotive Supply Chain ◽  
Automotive Supply ◽  
Agile Production

PurposeThe purpose of this paper is to robustly establish whether firms are implementing Lean or Agile production in the automotive supply chain (SC) and, by drawing on contingency theory (CT) as our theoretical lens, independently determine whether Lean and Agile firms can be distinguished based upon contextual factors.Design/methodology/approachPrimary quantitative data from 140 firms in the West Midlands (UK) automotive industry were obtained via a constructed survey. Analysis incorporated the use of logistic regressions to calculate the probability of Lean and Agile organisations belonging to different groups amongst the contextual factors investigated.FindingsLean and Agile firms co-exist in the automotive SC and Lean firms were found to be at higher tiers of the SC, while Agile firms were found to be at lower tiers.Originality/valueThe originality of this study lies within the novel methodological attempt used to distinguish Lean and Agile production, based upon the contextual factors investigated. Not only is the importance of CT theoretically approved, but “received wisdom” within SC management is also contested. Extant literature propagates that the automotive SC is comprised of organisations that predominantly adopt Lean production methods, and that in SCs comprised of both Lean and Agile organisations, the firms closer to the customer will adopt more flexible (Agile) practices, while those that operate upstream will adopt more efficient (Lean) practices. The findings from this study have implications for theory and practice, as Lean and Agile firms can be found in the automotive SC without any relationship to the value-adding process. To speculate as to why the findings contest existing views, resource dependence theory and, more specifically, a power perspective, was invoked. The authors provide readers with a new way of thinking concerning complicated SCs and urge that the discipline of SC management adopts a “fourth” SC model, depicting a new Lean and Agile SC configuration.

scholarly journals Supply Chain Performance Measurement: A Case Study about Applicability of SCOR® Model in Automotive Industry Firm

2018 ◽  
Vol 200 ◽  
pp. 00016
Author(s):  
Radouane Lemghari ◽  
Chafik Okar ◽  
Driss Sarsri
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Practical Method ◽  
Research Problem ◽  
Automotive Sector ◽  
Business Modelling ◽  
Automotive Supply Chain ◽  
Automotive Supply ◽  
Structured Approach

The evaluation of a supply chain is a major priority of companies; it is a task that remains difficult due to the complexity of these systems [1]. This evaluation involves a selection of performance measurement indicators, which are appropriate to the management of this chain. It is then necessary to have a structured approach and adequate methodological tools [2]. Indeed, we propose in this paper a practical method that will model in the first place a Moroccan automotive supply chain, according to the SCOR® model (Supply Chain Operations Reference), proposed by the Supply Chain Council. This method will also identify at each level the appropriate indicators for the performance evaluation depending on the strategic vision. In this context our research problem is made, it is interested in the contribution of the business modelling to improve logistics performance. To the best knowledge of the authors, this is the first work that proposes a case study believed to be easy to understand, practical and suitable for the automotive sector. In short, this study is a real application leap to resolve the problematic unanswered of practical SCOR® model using an industrial application in the Moroccan automotive sector.

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