Disruption risk management in service-level agreements

Jahani, Hamed; Abbasi, Babak; Hosseinifard, Zahra; Fadaki, Masih; Minas, James P.

doi:10.1080/00207543.2020.1748248

Cited by 25 publications

(10 citation statements)

References 50 publications

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“… I11 Supply chain coordination SC coordination describes collective efforts to reach goals, which is “the act of managing dependencies between entities and the joint effort of entities working together towards mutually defined goals.” Li et al (2018) ; Zhao et al (2020) ; Hosseini-Motlagh et al (2020) ; Heydari et al (2019) ; Hosseini-Motlagh et al (2019) ; Oliveira & Handfield (2019) ; Esmaeili-Najafabadi et al (2019) ; Liu et al (2017) ; Wang et al (2017) ; Li et al (2017) ; Danusantoso & Moses (2016) ; Xiao & Chen (2016) ; Ali & Nakade (2016) ; Zheng et al (2015) ; Mortazavi et al (2015) ; Watanabe & Kusukawa (2015) ; Chen et al (2020) ; Chakraborty et al (2020) ; Zhao et al (2020) . I12 Supply chain disruptions SC disruptions are undesired and unexpected events; examples include natural disasters, industrial accidents, technological shifts, and political events Braunscheidel and Suresh (2009) ; Kumaran et al (2020) ; Parast (2020) ; Paul & Chowdhury (2020) ; Messina et al (2020) ; Nguyen et al (2020) ; Zhu et al (2020) ; Handfield et al (2020) ; Govindan et al (2020b) ; Kumar & Anbanandam (2020) ; Salmi et al (2020) ; Azadegan et al (2020) ; Birkel & Hartmann (2020) ; Sheu & Kuo (2020) ; Wamba & Queiroz (2020) ; Jahani et al (2020) ; Polyviou et al (2019) ; Queiroz et al (2019) ; Ni 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

179

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

179

119

View full text Add to dashboard Cite

show abstract

“…Network design level Impact of the ripple effect on SC resilience and robustness;Sensitivity of different SC designs to the ripple effect;Criticality of some nodes/arcs in the SC for the ripple effect dispersal Lei et al (2020), Dubey et al (2020), Mishra et al (2020), Brintrup, Chauhan, and Perera (2020), Liu et al (2020) Process planning level Proactive policies to mitigate the ripple effect (i.e. inventory and capacity buffers, backup sourcing, product substitution) Ma, He, and Gu (2020), Özçelik, Yılmaz, and Yeni (2020), Azaron, Venkatadri, and Doost (2020), Jahani et al (2020), Gholami-Zanjani et al (2020) Operative control level Reactive policy deployments for ripple effect control and recovery Choi (2020), Lee, Yoon, and Lee (2020) Table 1 provides an overview of the papers included in this special issue, their methodologies and major outcomes. In Table 2, the contributions shown in Table 1 are divided into a three-level structure following the classification proposed by Ivanov and Dolgui (2020c).…”

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confidence: 99%

Ripple effect and supply chain disruption management: new trends and research directions

Dolgui

Ivanov

2021

International Journal of Production Research

208

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Ripple effect is a specific area of SC disruptions and a strong stressor to SC resilience. Research on the ripple effect analyses how one or more disruptive events propagate through the SC and impact its resilience and performance. The phenomenon of the ripple effect, immensely existing in practice, has received great research interest in recent years. Ripple effect management, modelling and assessment became visible research avenues with a growing number and scope of contributions. This Special Issue presents recent developments on the ripple effect in SCs. The Special Issue focuses on studies that address the ripple effect and provide a comprehensive picture of the state of the art and future perspectives. The methodologies comprise of mathematical optimisation, simulation, game theory, control theoretic, data-driven analytics, network complexity, reliability theory research, and empirical research. Even though a variety of valuable insights have been developed in this area in recent years, new research avenues and ripple effect taxonomies are identified for further exploring the ripple effect in the settings of the COVID-19 pandemic, SC viability, viable SC model, and reconfigurable SCs. KEYWORDS Ripple effect; supply chain resilience; supply chain risk management; supply chain dynamics; supply chain engineering Supply chain engineering is one of the main issues in production research (Dolgui and Proth (2010). Research on supply chain (SC) disruption management has focused on both empirical and analytical methodologies in understanding and appeasing risk (Ho

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“…Further, the uncertainty in disruption has also been considered to determine inventory decision variables (Saithong and Lekhavat 2020). Jahani et al (2020) studied the impact of capacity/inventory disruption on a supplier's cost, where the supplier has heterogeneous service-level agreements (SLAs) in place with multiple customers (retailers). Furthermore, a framework was developed for order fulfilment planning in e-tail stores considering frequent stock-out based on an inventory rationing model that splits the demand in a partial drop shipping system, as well as the influence of supply disruption, thus filling the gap by considering the constraints (Jimenez G et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Modelling the impact of demand disruptions on two warehouse perishable inventory policy amid COVID-19 lockdown

Rana

Kumar

Mor

et al. 2021

International Journal of Logistics Research and Applications

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The proposed work considers two different scenarios of a finite period complete-lockdown situation for two warehouse perishable inventory systems. The first scenario assumed the enforcement and ease of lockdown when the owned warehouse is being vacated. The latter studied the scenario using lockdown enforcement during the inventory dispatch from the owned warehouse and relieved as the items are taken from the rented warehouse. These deterministic models consider a time-dependent linear demand rate and two parameters Weibull distributed deterioration rate. The linearly increasing demand function decreases by a finite volume as the lockdown is imposed and increases suddenly whenever the lockdown is relaxed. Both of the models have been formulated to minimise the total system cost. Further, the behaviour of the models has been examined using sensitivity analysis. Considering the realistic scenarios makes the models practicable to implement in a crisis like the COVID-19 pandemic.

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Disruption risk management in service-level agreements

Cited by 25 publications

References 50 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

Ripple effect and supply chain disruption management: new trends and research directions

Modelling the impact of demand disruptions on two warehouse perishable inventory policy amid COVID-19 lockdown

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