Stochastic optimization of disruption-driven supply chain network design with a new resilience metric

Fattahi, Mohammad; Govindan, Kannan; Maihami, Reza

doi:10.1016/j.ijpe.2020.107755

Cited by 80 publications

(21 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“… I17 Supply chain network design SC network design represents the facility location problem, and SC management contains facility location determination, magnitude, network capabilities and the material flow among the located facilities. Pishvaee and Razmi (2012); Fattahi et al (2020 b); Benedito et al (2020) ; Hamdan & Diabat (2020) ; Fazli-Khalaf et al (2019) ; Diabat et al (2019) ; Snoeck et al (2019) ; Li & Zhang (2018) ; Jabbarzadeh et al (2018) ; Fattahi et al (2017) ; Jabbarzadeh et al (2013); Azad (2014); Hasani et al (2020) ; Nezamoddini et al (2020) . I18 Supply chain resilience SC resilience define as the SC adaptive ability to respond to disruptions, react to unexpected occasions, and then recover by continuously maintaining operations at the desired balanced of connectedness and control over the SC function and structure.…”

Section: Resultsmentioning

confidence: 99%

“…SSCM has grown significantly and has become a subject of increased concern due to a global population explosion, resource limitations, logistics production and consumption activities corruption, and waste and pollution increase ( Rebs et al, 2019 ). As disruption events such as economic crises, terrorist attacks, earthquakes, and pandemic occurred more severity and frequency, the sustainability is becoming more crucial for SC due to uncertainty created ( Ivanov et al 2016 , Fattahi et al, 2020 ). Firms are now facing higher levels of risk as disruptions considerably influence SC performance ( Blackhurst et al, 2011 ; Dubey et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Identify geologically diverse for emergency considering should be given to both academia and practice. Implementing optimization models, addressing new metric on ambidexterity, highlighting design decisions, capabilities and infrastructure, as well as transportation link to create reliable and sustain SC network is necessary ( Govindan et al 2017 ; Dolgui et al 2018 ; Fattahi et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

“… Essuman et al (2020) developed the operational resilience notion and investigated its effects on operational efficiency under different operational disruptive situations and found both disruption absorption and recoverability have positive relationship to operational efficiency. Fattahi et al (2020) provides a stochastic optimization of disruption drives on SC network design to measures the expected SC's surplus cost with new resilience metric that quickly and effectively forms the SC back to its original or even more desirable state after the disruption and during its recovery phase. Shekarian et al (2020) determined the flexibility and agility impacts on the relationship between three objective functions including risk, responsiveness, and cost of new and seasonal products on of disruptions mitigation.…”

Section: Literature Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

151

119

View full text Add to dashboard Cite

Balancing sustainability and disruption of supply chains requires organizational ambidexterity. Sustainable supply chains prioritize efficiency and economies of scale and may not have sufficient redundancy to withstand disruptive events. There is a developing body of literature that attempts to reconcile these two aspects. This study gives a data-driven literature review of sustainable supply chain management trends toward ambidexterity and disruption. The critical review reveals temporal trends and geographic distribution of literature. A hybrid of data-driven analysis approach based on content and bibliometric analyses, fuzzy Delphi method, entropy weight method, and fuzzy decision-making trial and evaluation laboratory is used on 273 keywords and 22 indicators obtained based on the experts’ evaluation. The most important indicators are identified as supply chain agility, supply chain coordination, supply chain finance, supply chain flexibility, supply chain resilience, and sustainability. The regions show different tendencies compared with others. Asia and Oceania, Latin America and the Caribbean, and Africa are the regions needs improvement, while Europe and North America show distinct apprehensions on supply chain network design. The main contribution of this review is the identification of the knowledge frontier, which then leads to a discussion of prospects for future studies and practical industry implementation.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

151

119

View full text Add to dashboard Cite

show abstract

“… Fattahi et al (2020) propose a new measure to quantify supply chain resilience by using stochastic programming in their paper “ Stochastic optimization of disruption-driven supply chain network design with a new resilience metric ”. The specific feature of this new measure is the expected value of supply chain cost increase due to a possible disruption during the recovery period.…”

Section: Resilience Analysis and Recoverymentioning

confidence: 99%

Exploring supply chain structural dynamics: New disruptive technologies and disruption risks

Dolgui

Ivanov

2020

International Journal of Production Economics

View full text Add to dashboard Cite

We discuss recent developments in exploring supply chain structural dynamics. We focus on both positive (i.e., new disruptive technologies) and negative (i.e., disruption risks) triggers of the structural dynamics in complex supply chain networks. We discuss papers in the special issue which focus on supply chain structural dynamics using different methods, collating and presenting recent research in the field. In particular, the ripple effect, blockchain, network resilience, data analytics, and service platforms have been identified as the leading research directions.

show abstract

Structural model for analysis of key performance indicators for sustainable manufacturer–supplier collaboration: A grey‐decision‐making trial and evaluation laboratory‐based approach

et al. 2021

Self Cite

View full text Add to dashboard Cite

With growing competition in the market and dire need for sustainability, it has become imperative for companies to build long-term relationship with their supply chain partners through sustainable collaboration. Among these, the suppliermanufacturer relationship is crucial for improved organizational, business and sustainable performance. Sustainable collaboration with suppliers involves crucial decision-making processes such as continuous supplier monitoring and supplier development. Hence, a critical challenge that a company faces is to identify the key performance indicators (KPIs) for assessing the performance of a supplier for sustainable collaboration. In this regard, this study focuses on identification of KPIs for an Indian home appliance company through exhaustive discussions involving multiple decision-makers. Further, a grey-based decision-making trial and evaluation laboratory (DEMATEL) model is proposed in the study for analysing the importance levels among the fifteen KPIs based on multiple stakeholder perspectives. The results of the grey structural model indicate seven KPIs as influencing KPIs and eight KPIs as influenced KPIs. The KPI 'Information disclosure' has been identified as the most influential KPI for the evaluation of suppliers for sustainable collaboration. The implications drawn from the result analysis model can provide meaningful insights to managers for identifying strategies towards strengthening the supplier-manufacturer relationship and achieving organizational and market competence.

show abstract

Stochastic optimization of disruption-driven supply chain network design with a new resilience metric

Cited by 80 publications

References 49 publications

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Exploring supply chain structural dynamics: New disruptive technologies and disruption risks

Structural model for analysis of key performance indicators for sustainable manufacturer–supplier collaboration: A grey‐decision‐making trial and evaluation laboratory‐based approach

Contact Info

Product

Resources

About