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 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.

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.

Board diversity and performance in a masculine, aged and glocal supply chain: new empirical evidence

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Giuseppe Giulio Calabrese ◽  
Alessandro Manello
Keyword(s):  
Supply Chain ◽  
Firm Performance ◽  
Empirical Evidence ◽  
Linear Models ◽  
Data Set ◽  
Board Diversity ◽  
Content Type ◽  
Automotive Supply Chain ◽  
And Performance ◽  
Automotive Supply

Purpose This study aims to contribute to the debate on the relationship between board diversity and performance, a hot topic for scholars and shareholders. A number of studies have found contrasting impacts of board diversity on firm performance and this paper adds new and original evidence in the context of the automotive supply chain focusing on gender, age and nationality diversity. Design/methodology/approach The authors propose a triple stage empirical analysis. First, the authors use linear models according to different performance indexes for investigating diversity (gender, age and nationality) within the board of directors and executives. Second, the authors investigate the issue of diversity in different contexts such as position in the supply chain, nationality of the owner and family/corporate ownership. Finally, the authors use non-linear models to find a better combination of diversity in terms of gender and nationality for retrieving some managerial implications. Findings First, the authors demonstrate a robust positive effect of women in board representation on firm performance in terms of profitability and firm risk. In the case of, age and nationality the results are more equivocal in particular for the former. Second, the authors depict board diversity in different contexts as follows: positioning in the supply chain, type and nationality of the final owner. Again, gender heterogeneity is more adequate in the complex firm as Tier 1 suppliers, corporate and foreign company. Originality/value The authors focused the analysis on a specific industry, shedding light on the main specificities linked to operating in certain phases of the supply chain, a substantial novelty in this field. The empirical evidence is based on a very large data set containing quantitative and qualitative information on a representative sample of 1,538 firms operating in the Italian automotive supply chain, one of the most relevant in Europe.

Blockchain technology development and implementation for global logistics operations: a reference model perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rukshanda Kamran ◽  
Nasreen Khan ◽  
Balan Sundarakani
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Reference Model ◽  
Process Efficiency ◽  
Future Research ◽  
Logistics Industry ◽  
Content Type ◽  
Traceability System ◽  
Blockchain Technology ◽  
Global Logistics

Purpose Blockchain technology offers a lot of potential benefits in supply chain management. However, there is a need of a reference model which addresses the gaps in existing frameworks. This paper aims to propose a blockchain technology-based reference model which can be applied to global logistics operations. Design/methodology/approach The researchers have integrated the fit-for-purpose theoretical framework and prototyping methodology to design the reference model, a blockchain-based logistics, tracking and traceability system (BLTTS). The researchers demonstrated the application of the reference model through a health-care supply chain case study. The proposed BLTTS can be implemented across global logistics operations for business performance improvement. Findings The research provides a framework and recommendations for global companies to consider when adopting the blockchain technology for implementation. The researchers found that the Ethereum blockchain technology improves security of the data shared within the block through the secure hashing algorithm 1. The hash algorithm ensures anonymity of the involved parties. The model integrates blockchain with supply chain thus creating transparent process, efficiency and real-time communication. Research limitations/implications The reference model will offer a better solution to global logistics operations challenges. It provides recommendations to key stakeholders involved in logistics operations segment of the logistics industry while adopting blockchain technology. Apart from the methodological limitation of the study, the system compatibility and the layer configuration aspects might be posing potential challenges while upscaling the implementation. Originality/value The proposed reference model overcomes the drawbacks of existing models as it integrates Ethereum technology. In addition, the researchers have applied the model to demonstrate its functioning in real-time environment, which could guide for future research.

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