Complex network theory-based approach for designing resilient supply chain networks

Mari, Sonia Irshad; Lee, Young Hae; Memon, Muhammad Saad

doi:10.1504/ijlsm.2015.069733

Cited by 51 publications

(51 citation statements)

References 42 publications

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“…Recent research Hearnshaw and Wilson 2013) has suggested that existence of power law degree distributions in supply chain networks has a positive affect on its resilience. Preferential attachment mechanisms have been shown to synthesize networks that perform well under random failures and are among the most prominent rules for making linking decisions, hence making them a perfect candidate for actions for SCN modeling (Thadakamalla et al 2004;Zhao et al 2011b;Xuan et al 2011;Mari et al 2015). Preferential attachment also leads to creation of networks exhibiting power law degree distributions.…”

Section: Action Set For Scnsmentioning

confidence: 99%

“…it is a supplier, manufacturer, consumer etc. Most supply chain models categorize nodes based on their tiers and roles, and then use these attributes to define attachment rules, for example (Thadakamalla et al 2004;Wang et al 2015) use a heterogeneous preferential linking mechanism that varies based on role of the firm, (Nair and Vidal 2011) proposes an agent-based model that uses firm role and demands to form links, (Wen et al 2012;Mari et al 2015) use restricted preferential attachment mechanism based on firm tiers. Others use more complicated linking mechanisms such as, local selection and preferential attachment (Li et al 2013;Zhao et al 2011b), random, preferential attachment and similarity (Xuan et al 2011), and fitness based attachment (Perera et al 2017c).…”

Section: Introductionmentioning

confidence: 99%

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Modeling topologically resilient supply chain networks

Arora

Ventresca

2018

Appl Netw Sci

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The ubiquity of supply chains along with their increasingly interconnected structure has ignited interest in studying supply chain networks through the lens of complex adaptive systems. A particularly important characteristic of supply chains is the desirable goal of sustaining their operation when exposed to unexpected perturbations. Applied network science methods can be used to analyze topological properties of supply chains and propose models for their growth. Network models focusing on the critical aspect of supply chain resilience may provide insights into the design of supply networks that may quickly recover from disruptions. This is vital for understanding both static and dynamic structures of complex supply networks, and enabling management to make informed decisions and prioritizing particular operations. This paper proposes an action-based perspective for creating a compact probabilistic model for a given real-world supply network. The action-based model consists of a set of rules (actions) that a firm may use to connect with other firms, such that the synthesized networks are topologically resilient. Additionally, it captures the heterogeneous roles of different firms by incorporating domain specific constraints. Results analyzing the resilience of networks subjected to node disruptions show that networks synthesized using the proposed model can generally outperform its real-world counterpart.

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Section: Action Set For Scnsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling topologically resilient supply chain networks

Arora

Ventresca

2018

Appl Netw Sci

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“…Using qualitative as well as mixed-integer linear programming, they examine the social and environmental dimensions in supply chain network design and develop a robust model for a responsive, sustainable supply chain. It is worth mentioning that there is a plethora of supply chain design studies using operational research, modelling and simulation techniques (see e.g., Amini and Li, 2011;Amin and Zhang, 2012;Jafarian and Bashiri, 2014;Mari et al, 2015).…”

Section: Supply Chain Configurationmentioning

confidence: 99%

How do different supply chain configuration settings impact on performance trade-offs?

Sabri

Micheli

Nuur

2017

IJLSM

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Abstract:The notion of 'fit' in the supply chain management (SCM) literature has evolved following the adoption of the contingency approach in an endeavour to achieve greater organisational effectiveness. In this paper, we investigate the possible approaches to achieving a state of fit between supply chain configuration settings and performance indicators, while taking into account the contextual factors related to different industry sectors and geographical dispersion levels. This study addresses the pressing issue of the performance trade-offs faced by companies to achieve a higher service level and customer satisfaction (effectiveness) on the one hand, while being costefficient on the other hand (efficiency). The paper contributes to the SCM literature and practice through synthesising a conceptual framework that scrutinises the relationships between six individual configuration settings and nine effectiveness/efficiency indicators. The study's findings explain the motivations behind different configuration decisions, which help in obtaining the most appropriate fit between supply chain configuration and performance. How do different supply chain configuration settings impact on performance 35

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“…Various carbon emissions in the supply chain are computed in Equation (5). The first term estimates embodied carbon footprints and carbon emission during transportation of material coming from various suppliers.…”

Section: Formulation Of Objective Functionsmentioning

confidence: 99%

“…Pettit, et al [4] explained that resilience facilitates a supply chain to return its original performance after disruptions, preparing for unexpected events, and responding to disruptions. Mari, et al [5] defined supply chain resilience as a method to reduce the severity and likelihood of supply chain disruption risks.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Sustainable and Resilient Garment Supply Chain Network Design with Fuzzy Multi-Objectives under Uncertainty

2016

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Abstract:Researchers and practitioners are taking more interest in developing sustainable garment supply chains in recent times. On the other hand, the supply chain manager drops sustainability objectives while coping with unexpected natural and man-made disruption risks. Hence, supply chain managers are now trying to develop sustainable supply chains that are simultaneously resilient enough to cope with disruption risks. Owing to the importance of the considered issue, this study proposed a network optimization model for a sustainable and resilient supply chain network by considering sustainability via embodied carbon footprints and carbon emissions and resilience by considering resilience index. In this paper, initially, a possibilistic fuzzy multi-objective sustainable and resilient supply chain network model is developed for the garment industry considering economic, sustainable, and resilience objectives. Secondly, a possibilistic fuzzy linguistic weight-based interactive solution method is proposed. Finally, a numerical case example is presented to show the applicability of the proposed model and solution methodology.

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Complex network theory-based approach for designing resilient supply chain networks

Cited by 51 publications

References 42 publications

Modeling topologically resilient supply chain networks

Modeling topologically resilient supply chain networks

How do different supply chain configuration settings impact on performance trade-offs?

Sustainable and Resilient Garment Supply Chain Network Design with Fuzzy Multi-Objectives under Uncertainty

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