Quantitative models for managing supply chain risks: A review

Fahimnia, Behnam; Tang, Christopher S.; Davarzani, Hoda; Sarkis, Joseph

doi:10.1016/j.ejor.2015.04.034

Cited by 396 publications

(243 citation statements)

References 121 publications

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“…By integrating the Global Positioning System (GPS) and radio frequency identification (RFID) technologies with the geographic information system (GIS), the logistics process can be very conveniently monitored and renewed [62]. Once a supply chain disruption occurs, the supply chain manager can reselect an appropriate supplier when necessary by using GIS to provide decision support information (e.g., to define the optimal path) and prioritizing weighting-related resilient criteria.…”

Section: Logistics Stagementioning

confidence: 99%

Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)

et al. 2017

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Construction supply chain management is a unique and problematic issue within the construction industry due to its inevitable external risks and variations. The resilience capability of a supplier is of significance in supplier selection; a supplier selected in the context of a resilient construction supply chain (RCSC) is referred to in this research as a "resilient construction supplier". This paper proposes a supplier selection framework tailored to effective information integration for supply chain management. The proposed framework works by integrating building information modeling (BIM) and a geographic information system (GIS) in a RCSC. BIM and GIS together provide highly transparent construction material information, enhanced supply chain status visualization, and workable access information for supplier selection. Supplier performance is evaluated via seventeen resilient criteria under a combined methodology consisting of the analytic hierarchy process (AHP) and grey relational analysis (GRA); AHP and GRA weigh the criteria and rank the suppliers respectively. By varying the weightings given to each criterion, sensitivity analysis was conducted to identify the criteria of resilience which impact the selection priorities of suppliers. An illustrative example is also provided to show the overall process of the proposed framework.

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Section: Logistics Stagementioning

confidence: 99%

Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)

et al. 2017

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“…Isso é motivado pela importância que estas pesquisas podem proporcionar nos aspectos gerenciais das empresas, como a possibilidade de minimizar os impactos gerados pela complexidade das relações, podendo integrar situações a nível global, referente aos custos operacionais com estoques, vulnerabilidade e possibilidade de interrupção da demanda (FAHIMNIA et al, 2015).…”

Section: Introductionunclassified

Análise integrada para a tomada de decisão: os efeitos da modelagem no gerenciamento de estoques e o impacto sobre o indicador de rentabilidade ROI

Vargas

Baccin

Sellitto

2017

Revista PO: R. Eletr. de Eng. de Produção e Correlatas

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Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, RS.Resumo: O adequado gerenciamento de estoques pode auxiliar a minimizar os efeitos de variabilidade e custos operacionais, assim como melhorar os níveis de serviço e a rentabilidade das empresas. Neste sentido, o objetivo deste artigo é integrar a modelagem sobre gerenciamento de estoques e seu impacto sobre o indicador de rentabilidade ROI. Foram modelados quatro cenários e aplicados em um caso no gerenciamento de estoques de matéria-prima, aplicado em uma empresa metal mecânica no estado do Rio Grande do Sul. Os resultados modelados foram usados para comparar e analisar os impactos gerados sobre o indicador de rentabilidade da empresa. O método de pesquisa foi a modelagem quantitativa. Os resultados indicam possibilidade de redução do custo total de operação, redução dos volumes e valores em inventário e aumento do giro de estoques. Além disso, os impactos das modelagens demonstram a possibilidade de aumento no ROI em até 58,5% no curto prazo. A análise integrada pode auxiliar na compreensão da importância do gerenciamento adequado dos estoques.Palavras-chave: Gerenciamento de Estoques. Modelagem. Retorno sobre o investimento. Matéria-prima.Abstract: A suitable stock management can help minimize the effects of variability and operational costs, as well as improve service levels and profitability. In this sense, the purpose of this article is to integrate modeling on inventory management and its impact on the profitability indicator ROI. Four scenarios were modeled and applied in a case regarding the inventory management of raw material, applied in a metalworking company in the state of Rio Grande do Sul. The modeled results were used to identifying, comparing and analyzing impacts generated on the company's profitability indicator. The research method was the quantitative modeling. The results indicate the possibility of reducing the total cost of operation, reduction of the quantity and values in inventory and inventory turnover increase. In addition, the impacts of modeling demonstrated the possibility of increase ROI by up to 58.5% in the short term. The integrated analysis can assist in the understanding of the importance of suitable stocks management. O desenvolvimento de modelos pode auxiliar na compreensão do ambiente em estudo e seus problemas, visando a sistematização e formulação de estratégias que auxiliam na tomada de decisão (MIGUEL et al., 2012). Esta pesquisa utiliza do método de modelagem, aplicado em uma empresa metal mecânica no estado do Rio Grande do Sul. O melhor resultado modelado com possibilidade de aplicação a curto prazo (Modelagem 1), possibilita a redução no custo total de operação, volumes e valor em inventário de matéria-prima em 22,8%, 22% e 33,6%; aumento no giro dos estoques em 28,2% e um Fill Rate de 99,4%; gerando aumento do ROI em 58,5%.Isso representa a possibilidade de aumento da margem de lucro em 46,4% e turnover dos ativos em 8,3%. Estes valores de otimização no gerenciamento dos estoques correspondem dir...

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“…Heckmann et al (2015) systematically define supply chain risk concepts, terminologies, and risk measuring and modeling methods from related fields. Fahimnia et al (2015) use bibliometric and network analysis tools to identify key research clusters/topics, interrelationships, and generative research areas on quantitative models for managing supply chain risks. Chiu and Choi (2016) review the use of mean-risk models for analytical supply chain risk analysis.…”

Section: Supply Chain Operations Processesmentioning

confidence: 99%

Innovative supply chain optimization models with multiple uncertainty factors

Choi

Govindan

et al. 2017

Ann Oper Res

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Uncertainty is an inherent factor that affects all dimensions of supply chain activities. In today's business environment, initiatives to deal with one specific type of uncertainty might not be effective since other types of uncertainty factors and disruptions may be present. These factors relate to supply chain competition and coordination. Thus, to achieve a more efficient and effective supply chain requires the deployment of innovative optimization models and novel methods. This preface provides a concise review of critical research issues regarding innovative supply chain optimization models with multiple uncertainty factors. It also introduces the special issue's research papers and their respective insights.

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Quantitative models for managing supply chain risks: A review

Cited by 396 publications

References 121 publications

Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)

Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)

Análise integrada para a tomada de decisão: os efeitos da modelagem no gerenciamento de estoques e o impacto sobre o indicador de rentabilidade ROI

Innovative supply chain optimization models with multiple uncertainty factors

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