Risk management in the automotive supply chain: an exploratory study in Brazil

Vanalle, Rosângela Maria; Lucato, Wagner Cezar; Ganga, Gilberto Miller Devós; Filho, Alceu Gomes Alves

doi:10.1080/00207543.2019.1600762

Cited by 32 publications

(25 citation statements)

References 54 publications

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“…On the other side, it works as a reactive approach in SCRM due to its capability of restoring the supply chain to its original state [55]. The primary capabilities of SC resilience are redundancy, flexibility, and collaboration among SC partners [3,19,54,57].…”

Section: Discussionmentioning

confidence: 99%

“…The literature on SCR investigated two comprehensive issues, which are the background and sources of SCRs, and the impact and management of SCRs [54]. SCRs may come up from multiple sources [9], such as regulatory changes, customer or supplier side [55], issues related to labor (such as strikes) [56], logistic providers, forecasting errors [55], machine breakdown, inventory shortage, IT malfunctioning, natural disasters, terrorist attacks [4], and geopolitical risks [57]. Moreover, there is an increasing trend regarding the adoption of sustainability, which requires firms to become sustainable and apply techniques in compliance with ISO 14000/14001 [48].…”

Section: Supply Chain Riskmentioning

confidence: 99%

“…Automotive supply chains involve more uncertainty compared to other industries' supply chains due to their complex nature of business and structure. Previous studies on SCRM among automotive firms have explained different approaches and strategies which can be adopted for managing SCRs [4,46,57,59,60]. According to Thun et al [4], there are two types of approaches for SCRM in the automotive industry: proactive and reactive.…”

Section: Managing Supply Chain Risksmentioning

confidence: 99%

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A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan

et al. 2019

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Risk is inherent in all parts of life and brings consequences, but when it specifically emerges in supply chains, it is susceptible. Therefore, this study aims at identifying and assessing supply chain risks and developing criteria for managing these risks. Supply chain (SC) risks consist of complex, uncertain, and vague information, but risk assessment techniques in the literature have been unable to handle complexity, uncertainty, and vagueness. Therefore, this study presents a holistic approach to supply chain risk management. In this paper, neutrosophic (N) theory is merged with the analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) to deal with complexity, uncertainty, and vagueness. Then the proposed methodology is practically implemented through a case study on the automotive industry. SC resilience, SC agility, and SC robustness were selected as criteria for managing supply chain risks and analyzed using N-AHP. Furthermore, seventeen risks were identified and assessed by using N-TOPSIS. Results suggest supply chain resilience is the most important criterion for managing supply chain risks. Moreover, supplier delivery delays, supplier quality problems, supplier communication failures, and forecasting errors are the most vulnerable risks that occur in supply chains of the automotive industry in Pakistan.

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Section: Discussionmentioning

confidence: 99%

Section: Supply Chain Riskmentioning

confidence: 99%

Section: Managing Supply Chain Risksmentioning

confidence: 99%

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A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan

et al. 2019

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“…The review conducted by Baryannis et al [22] summarized state-ofthe-art studies in the supply chain that consider risk management and discussed the many research techniques, including statistics, optimization, and simulation. Vanalle et al [23] surveyed auto parts producers to determine the risks for the first-and second-tiers of the automobile sector supply chain. Results showed that the risks perceived from the second tier are higher than those of the first-tier suppliers in the chain.…”

Section: Literature Review 21 Global Supply Chainmentioning

confidence: 99%

Evaluating Supply Chain Resource Limits From News Articles and Earnings Call Transcripts: An Application of Integrated Factor Analysis and Analytical Network Process

Chu

Günay

Al-Araidah

et al. 2020

Volume 6: 25th Design for Manufacturing and the Life Cycle Conference (DFMLC)

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Due to the impact of globalization, companies have extended their borders across nations to launch products more competitively. However, globalization affects various uncertainties and risks that may limit the performance of supply chains. Research indicates that models that incorporate uncertainties and risks will help to improve the resilience of global supply chains. In the era of technology, we experience the abundance of textual data from various web-media resources related to companies, which can be deployed to understand the impact of risks on the chain. Accordingly, this study aims to utilize textual data collected from news articles and earnings call transcripts to assess the vulnerability of the suppliers and the chain. Among many, we considered supply chain resource limits as a subcomponent of vulnerability and collected textual data associated with its sub-factors. Then, we proposed an integrated factor analysis and Analytical Network Process (ANP) method to model the company’s supply chain resource limits index. Specifically, factor analysis was used to determine the latent constructs of the variables that are grouped under resource limits and their correlations. This latent construct and correlations were then applied as the interdependencies among variables in the ANP to discover the final importance weights of the variables in terms of supply chain resource limits. The results of the study showed that the shortages of capacity, components, and energy supply are the most critical sub-factors. The company’s supply chain resource limits index (SCRLI) can be further calculated to assist decision-makers of an enterprise in supply chain configuration design, and improve the supply chain resilience.

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“…Many scholars designed supply chain network models based on real case studies. Some of the investigated products in the previous researches are engine oil [38], polyethylene terephthalate bottles [36], blood supply chain [22], tire [59], evaporative cooler [6], automobile part manufacturing industry [45], automotive industry [56], self-healing polymers [46], food supply chain [63], textile [54] electronic products [55].…”

Section: Introductionmentioning

confidence: 99%

Designing a clothing supply chain network considering pricing and demand sensitivity to discounts and advertisement

2021

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These days, clothing companies are becoming more and more developed around the world. Due to the rapid development of these companies, designing an efficient clothing supply chain network can be highly beneficial, especially with the remarkable increase in demand and uncertainties in both supply and demand. In this study, a bi-objective stochastic mixed-integer linear programming model is proposed for designing the supply chain of the clothing industry. The first objective function maximizes total profit and the second one minimizes downside risk. In the presented network, the initial demand and price are uncertain and are incorporated into the model through a set of scenarios. To solve the bi-objective model, weighted normalized goal programming is applied. Besides, a real case study for the clothing industry in Iran is proposed to validate the presented model and developed method. The obtained results showed the validity and efficiency of the current study. Also, sensitivity analyses are conducted to evaluate the effect of several important parameters, such as discount and advertisement, on the supply chain . The results indicate that considering the optimal amount for discount parameter can conceivably enhance total profit by about 20% compared to the time without this discount scheme. When we take the optimized parameter into account for advertisement, 12% is obtained for the total profit. Based on our findings, the more the expected profit value, the higher the total amount of total profit and risk. The results of this research also provide some interesting managerial insights for managers.

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Risk management in the automotive supply chain: an exploratory study in Brazil

Cited by 32 publications

References 54 publications

A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan

A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan

Evaluating Supply Chain Resource Limits From News Articles and Earnings Call Transcripts: An Application of Integrated Factor Analysis and Analytical Network Process

Designing a clothing supply chain network considering pricing and demand sensitivity to discounts and advertisement

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