On metrics for supply chain resilience

Behzadi, Golnar; O'Sullivan, Michael J.; Olsen, Tava Lennon

doi:10.1016/j.ejor.2020.04.040

Cited by 134 publications

(61 citation statements)

References 35 publications

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“… Ponomarov and Holcomb (2009) ; Remko (2020) ; Kumar & Anbanandam (2020) ; Asamoah et al (2020) ; Kahiluoto et al (2020) ; Aslam et al (2020) ; Shekarian & Mellat Parast (2020) ; Piprani et al (2020) ; Mohammed et al (2020) ; Yu et al (2019) ; Ivanov & Sokolov (2019) ; Tan et al (2019) ; López & Ishizaka. (2019) ; Thomas & Mahanty (2019) ; Mikhail et al (2019) ; Singh et al (2019) ; Scholten et al (2019) ; Bevilacqua et al (2019) ; Rajesh (2016) ; Hosseini & Ivanov (2020) ; Behzadi et al (2020) ; Lohmer et al (2020) ; Li & Zobel (2020) . I19 Supply chain risk management SC risk management refers to the coordinated approach among the members of a supply chain for identifying and managing supply chain risk in order to reduce supply chain vulnerability Jüttner et al (2003); Munir et al (2020) ; Birkel & Hartmann (2020) ; Roscoe et al (2020) ; Kbah et al (2020) ; Shahbaz et al (2020) ; Baryannis et al (2019) ; Chowdhury et al (2019) ; Snoeck et al 2019 ).…”

Section: Resultsmentioning

confidence: 99%

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

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

180

119

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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.

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Section: Resultsmentioning

confidence: 99%

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

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

180

119

View full text Add to dashboard Cite

show abstract

“…In the current study, supply chain resilience is a three-dimensional construct involving (a) Speed of Recovery (or Recovery Time) [C1; +], (b) Recovery Level [C2; +], and (c) Loss of Performance while Recovering [C3; -]. This construct is inspired by the work of Behzadi et al ( 2020 ). In the current study, green supply chain is a four-dimensional construct involving (a) Efficient Energy Consumption [C4; +], (b) Efficient Material Use [C5; +], (c) Non-Product (Waste) Output [C6; -], and (d) Pollutant Releases [C7; -].…”

Section: Resultsmentioning

confidence: 99%

“…If cost, quality, and delivery are regarded as the traditional metrics of supply value chain designs, resilience can be regarded as one of the metrics for future supply chain designs (Betti and Ni 2020 ). Behzadi et al ( 2020 ) have defined resilience as the ability to recover quickly and effectively from disruption and recognized its critical importance for supply chains. In the COVID-19 era, the Chinese suppliers turned out to be more resilient, in terms of speed and level of recovery, as compared to their counterparts abroad, and thus not only they prevented the loss of performance during the recovery from prolonging but also became a source of hope for the rebuilding of global supply chain resilience (Accenture 2020 ; Betti and Ni 2020 ; Gao 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Gresilient supplier selection through Fuzzy Ordinal Priority Approach: decision-making in post-COVID era

2021

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Because of the COVID-19 outbreak, the supply of both essential and non-essential goods and services has been unprecedentedly disrupted. In the absence of any playbook, the need for innovative technologies to aid recovery from the Supply Chain (SC) disruptions quickly and effectively becomes persistent. The study aims to develop an innovative decision-making technology to handle the supplier selection problems arising from the frequent impreciseness and incompleteness in the nowadays' SC reports within the framework of the gresilient supply chain management. Through the integration of green and resilience aspects of the SCs, the supply chain 'gresilience' has been conceptualized. In light of this construct and based on the data collected from a manufacturing firm, the study deploys a two-fold decomposition of the core algorithm of the Ordinal Priority Approach (OPA), one for attributes and other for alternatives. It extends the OPA to the Fuzzy OPA (OPA-F) for solving the supplier selection problems. The study illustrates how green and resilience aspects of the SC can be integrated to better understand the gresilient suppliers in the wake of the SC disruptions. A novel construct of SC Gresilience is also furnished along with a novel definition of SC Gresilience. It also provides an innovative SC decision-making technology to help procurement managers to evaluate their suppliers. The resultant framework can help them better prepare for the COVID-19 like disruptions in the future.

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“…Purvis et al ( 2016 ) proposed a framework for the design of resilient supply chains that underline that these systems need to be resilient both to demand volatility and to supply volatility, each of which may require a different set of metrics. After reviewing the set of methodological approaches and indicators used in the literature for assessing supply chain resilience, Behzadi et al ( 2020 ) highlighted that, ideally, resilience metrics should capture three dimensions: the time to recovery (TTR), the lost performance during the recovery period (LPR), and the recovery level after the recovery period (RL). However, they noted that, in practice, most of the used metrics focus only on one of the three dimensions.…”

Section: Background and Contributionmentioning

confidence: 99%

Examining the balance between efficiency and resilience in closed-loop supply chains

Arquer

Ponte

Pino

2021

Cent Eur J Oper Res

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We study a hybrid system where the demand of customers can be satisfied by both manufacturing new products and remanufacturing used products. To manage the serviceable inventory, we implement a proportional order-up-to (POUT) replenishment policy. In this context, we first analyse the system efficiency by assessing its capacity to meet customer demand in a cost-effective manner. To this end, we consider both inventory performance (i.e., the balance between inventory holding and stock-out costs) and production smoothness (by measuring the Bullwhip effect in the supply chain). Second, we investigate the system resilience to demand volatility. In particular, we explore the impact of demand shocks on the inventory and production of the closed-loop system. Interestingly, we find that tuning the POUT controller to optimise efficiency may be problematic in terms of resilience to demand shocks. In this sense, a key trade-off exists that needs to be carefully considered by supply chain managers. Linking efficiency to resilience in such supply chains thus becomes essential to strengthen the transition towards more circular economic models. All in all, our analysis, via control-theoretic and simulation techniques, provides professionals with valuable insights into how to identify the appropriate ‘formula’ for building both efficient and resilient closed-loop supply chains.

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On metrics for supply chain resilience

Cited by 134 publications

References 35 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

Gresilient supplier selection through Fuzzy Ordinal Priority Approach: decision-making in post-COVID era

Examining the balance between efficiency and resilience in closed-loop supply chains

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