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Article

Christian F. Durach, Andreas Wieland and Jose A.D. Machuca

The purpose of this paper is to provide groundwork for an emerging theory of supply chain robustness – which has been conceptualized as a dimension of supply chain…

Abstract

Purpose

The purpose of this paper is to provide groundwork for an emerging theory of supply chain robustness – which has been conceptualized as a dimension of supply chain resilience – through reviewing and synthesizing related yet disconnected studies. The paper develops a formal definition of supply chain robustness to build a framework that captures the dimensions, antecedents and moderators of the construct as discussed in the literature.

Design/methodology/approach

The authors apply a systematic literature review approach. In order to reduce researcher bias, they involve a team of academics, librarians and managers.

Findings

The paper first, provides a formal definition of supply chain robustness; second, builds a theoretical framework of supply chain robustness that augments both causal and descriptive knowledge; third,shows how findings in this review support practice; and fourth,reveals methodological insights on the use of journal rankings in reviews.

Research limitations/implications

At this stage, managers may benefit from seeing these relationships as clues derived from the literature. The paper is fundamentally a call for researchers to conduct quantitative testing of such relationships to derive more reliable understanding and practical applications.

Practical implications

Rather than presenting empirical findings, this paper reveals to managers that visibility, risk management orientation and reduced network complexity have been the main predictive antecedents of supply chain robustness (as discussed in the academic literature). This provides a potentially important signal as to where to invest resources.

Originality/value

The study is the first to develop a formal definition of supply chain robustness and to establish a comprehensive theoretical framework for understanding the construct.

Details

International Journal of Physical Distribution & Logistics Management, vol. 45 no. 1/2
Type: Research Article
ISSN: 0960-0035

Keywords

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Article

Belarmino Adenso‐Diaz, Carlos Mena, Santiago García‐Carbajal and Merrill Liechty

As globalisation makes supply networks more complex, the risk of material disruptions increases. Many factors have been considered as affecting the reliability of supply…

Abstract

Purpose

As globalisation makes supply networks more complex, the risk of material disruptions increases. Many factors have been considered as affecting the reliability of supply networks. However, no empirical research has been carried out to assess and evaluate the impact of each of these factors on the reliability of supply networks. This paper aims to address this issue.

Design/methodology/approach

A gap in the literature was identified around the evaluation of the impact of supply network design characteristics on reliability. This gap is addressed by performing a full factorial experimental design considering all the factors described in the literature, and then analysing (by using analysis of variance and linear regression models), thousands of theoretical and extreme structures of supply networks, thus allowing the analysis of the influence of each factor on the overall network resilience.

Findings

Results show that network density, node criticality and complexity are significant factors in reducing the reliability of supply networks. In particular, node complexity (i.e. the total number of nodes in the network) was found to have the strongest negative effect on network reliability, while the strongest positive factor was sources criticality (i.e. the level of redundancy of suppliers).

Practical implications

The identification of these factors and their relative impacts on network reliability can serve as a guide for the design of more reliable networks, and to know which are the most important to consider when designed distribution networks.

Originality/value

The paper identifies, from the literature, key factors affecting supply network reliability and evaluates their relative impact. Given the number of factors identified, an extensive Monte Carlo simulation is used for the first time, by considering simple and very complex networks, to allow the testing of the role of each factor in supply network reliability.

Details

Supply Chain Management: An International Journal, vol. 17 no. 3
Type: Research Article
ISSN: 1359-8546

Keywords

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Article

Mina Mikhail, Mohammed El-Beheiry and Nahid Afia

The purpose of this paper is to develop a decision tool that enables supply chain (SC) architects to design resilient SC networks (SCNs). Two resilience design…

Abstract

Purpose

The purpose of this paper is to develop a decision tool that enables supply chain (SC) architects to design resilient SC networks (SCNs). Two resilience design determinants are considered: SC density and node criticality. The effect of considering these determinants on network structures is highlighted based on the ability to resist disruptions and how SC performance is affected.

Design/methodology/approach

A mixed-integer non-linear programming model is proposed as a proactive strategy to develop resilient structures; design determinants are formulated and considered as constraints. An upper limit is set for each determinant, and resistance capacity and performance of the developed structures are evaluated. These upper limits are then changed until SC performance stabilizes in case of no disruption.

Findings

Resilient SCN structures are achieved at relatively low design determinants levels on the expense of profit and without experiencing shortage in case of no disruption. This reduction in profit can be minimized on setting counter values for the two determinants; relatively higher SC density with lower node criticality or vice versa. At very low SC density levels, the design model will reduce the number of open facilities largely leading to only one facility open at each echelon; therefore, shortage occurs and vulnerability to disruption increases. On the other hand, at high determinants levels, SC vulnerability also increases as a result of having more geographically clustered structures with higher inbound and outbound flows for each facility.

Originality/value

In this paper, a novel proactive decision tool is adopted to design resilient SCNs. Previous literature used metrics for SC density and node criticality to assess resilience; in this research, determinants are incorporated directly as constraints in the design model. Results give insight to SC architects on how to set determinant values to reach resilient structures with minimum performance loss in case of no disruption.

Details

Journal of Modelling in Management, vol. 14 no. 3
Type: Research Article
ISSN: 1746-5664

Keywords

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Article

Mourad Guettiche and Hamamache Kheddouci

The purpose of this paper is to study a multiple-origin-multiple-destination variant of dynamic critical nodes detection problem (DCNDP) and dynamic critical links…

Abstract

Purpose

The purpose of this paper is to study a multiple-origin-multiple-destination variant of dynamic critical nodes detection problem (DCNDP) and dynamic critical links detection problem (DCLDP) in stochastic networks. DCNDP and DCLDP consist of identifying the subset of nodes and links, respectively, whose deletion maximizes the stochastic shortest paths between all origins–destinations pairs, in the graph modeling the transport network. The identification of such nodes (or links) helps to better control the road traffic and predict the necessary measures to avoid congestion.

Design/methodology/approach

A Markovian decision process is used to model the shortest path problem under dynamic traffic conditions. Effective algorithms to determine the critical nodes (links) while considering the dynamicity of the traffic network are provided. Also, sensitivity analysis toward capacity reduction for critical links is studied. Moreover, the complexity of the underlying algorithms is analyzed and the computational efficiency resulting from the decomposition operation of the network into communities is highlighted.

Findings

The numerical results demonstrate that the use of dynamic shortest path (time dependency) as a metric has a significant impact on the identification of critical nodes/links and the experiments conducted on real world networks highlight the importance of sensitive links to dynamically detect critical links and elaborate smart transport plans.

Research limitations/implications

The research in this paper also revealed several challenges, which call for future investigations. First, the authors have restricted our experimentation to a small network where the only focus is on the model behavior, in the absence of historical data. The authors intend to extend this study to very large network using real data. Second, the authors have considered only congestion to assess network’s criticality; future research on this topic may include other factors, mainly vulnerability.

Practical implications

Taking into consideration the dynamic and stochastic nature in problem modeling enables to be effective tools for real-time control of transportation networks. This leads to design optimized smart transport plans particularly in disaster management, to improve the emergency evacuation effeciency.

Originality/value

The paper provides a novel approach to solve critical nodes/links detection problems. In contrast to the majority of research works in the literature, the proposed model considers dynamicity and betweenness while taking into account the stochastic aspect of transport networks. This enables the approach to guide the traffic and analyze transport networks mainly under disaster conditions in which networks become highly dynamic.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 12 no. 1
Type: Research Article
ISSN: 1756-378X

Keywords

Content available
Article

Joakim Kembro and Andreas Norrman

The purpose of this paper is to explore the current trends, implications and challenges of information systems (IS) related to omni-channel logistics.

Abstract

Purpose

The purpose of this paper is to explore the current trends, implications and challenges of information systems (IS) related to omni-channel logistics.

Design/methodology/approach

An exploratory survey study is conducted with 23 Swedish retail companies transforming to omni-channel logistics. The study investigates the retailers’ current situations regarding logistics IS as well as their perceptions of the future development.

Findings

From the perspective of leading Swedish retailers, omni-channel requirements drive the implementation of new IS to support effective and efficient material handling across the network and in the respective nodes. The shifting roles and increase in the number of handlings nodes will require flexible IS platforms that can support multiple flows and integrated inventory. The major increase in the implementation of new, critical functionalities is related to real-time, multi-criteria decision making on order allocation to different handling nodes. More advanced IS functionality is also required in material-handling nodes to support the increased degree of automation and continuous improvements with the aim to shorten order-to-delivery lead times. A number of challenges are identified that must be addressed during the transformation to omni-channel logistics, especially related to the growing complexity and decentralization of networks, tougher lead-time requirements and larger product assortments.

Research limitations/implications

To support further theory development, 11 propositions related to trends and a schematic framework conceptualizing implications and challenges are submitted for testing in future research.

Practical implications

The study highlights several aspects related to logistics IS that are important for practitioners to consider as they undergo the transition to omni-channels. It provides insights into IS functionalities that are likely to grow in use and criticality for supporting material handling and inventory management in increasingly complex and decentralized networks. In particular, the authors stress the need to implement functionality that works across previously separated handling nodes and decision areas. Managers can also use the propositions to reflect on what the near future holds and as input for their own scenario analyses.

Originality/value

Previous research has primarily focused on technology that supports the front-end customer experience. This study is original in that it explores the trends, implications and challenges for logistics IS in omni-channels – an area that has not been explored in detail previously. It also studies both perceived and expected changes over time related to the transformation toward omni-channel logistics.

Details

International Journal of Retail & Distribution Management, vol. 47 no. 4
Type: Research Article
ISSN: 0959-0552

Keywords

Content available
Article

Seyed Ashkan Zarghami, Indra Gunawan and Frank Schultmann

The increased complexity of water distribution networks (WDNs) emphasizes the importance of studying the relationship between topology and vulnerability of these networks…

Abstract

Purpose

The increased complexity of water distribution networks (WDNs) emphasizes the importance of studying the relationship between topology and vulnerability of these networks. However, the few existing studies on this subject measure the vulnerability at a specific location and ignore to quantify the vulnerability as a whole. The purpose of this paper is to fill this gap by extending the topological vulnerability analysis further to the global level.

Design/methodology/approach

This paper introduces a two-step procedure. In the first step, this work evaluates the degree of influence of a node by employing graph theory quantities. In the second step, information entropy is used as a tool to quantify the global vulnerability of WDNs.

Findings

The vulnerability analysis results showed that a network with uniformly distributed centrality values exhibits a lower drop in performance in the case of partial failure of its components and therefore is less vulnerable. In other words, the failure of a highly central node leads to a significant loss of performance in the network.

Practical implications

The vulnerability analysis method, developed in this work, provides a decision support tool to implement a cost-effective maintenance strategy, which relies on identifying and prioritizing the vulnerabilities, thereby reducing expenditures on maintenance activities.

Originality/value

By situating the research in the entropy theory context, for the first time, this paper demonstrates how heterogeneity and homogeneity of centrality values measured by the information entropy can be interpreted in terms of the network vulnerability.

Details

Built Environment Project and Asset Management, vol. 9 no. 3
Type: Research Article
ISSN: 2044-124X

Keywords

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Article

Santanu Mandal

– The purpose of this paper is to report a comprehensive review of supply chain resilience and identify several research issues.

Abstract

Purpose

The purpose of this paper is to report a comprehensive review of supply chain resilience and identify several research issues.

Design/methodology/approach

The articles which have been published in international journals in the period 1980-2012 were collected by using databases like ISI Web of Knowledge, ScienceDirect and EBSCO. The articles were scrutinized based on relevance to context and value addition. The articles contributing significantly in the domain of supply chain resilience were selected for final review and various issues were identified.

Findings

The paper argues that though several conceptual to few empirical works been done on supply chain resilience in recent years, there is large scope for research to address the issues in risk management, supply chain design, sourcing strategies, green practices, sustainable competitive advantage, supply chain security, supply chain performance and supply chain resilience.

Research limitations/implications

The insights deduced in the paper are primarily based on 45 articles selected for critical review and analysis in the domain of supply chain resilience and hence should be interpreted only as key concerns in the area.

Originality/value

The paper reports an evaluation of 45 key articles reported in the domain of supply chain resilience and indicates the research opportunities in the area.

Details

International Journal of Disaster Resilience in the Built Environment, vol. 5 no. 4
Type: Research Article
ISSN: 1759-5908

Keywords

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Article

Phil Greening and Christine Rutherford

The purpose of this paper is to develop a conceptual framework for the analysis of supply network disruptions and present a number of propositions to define a future…

Abstract

Purpose

The purpose of this paper is to develop a conceptual framework for the analysis of supply network disruptions and present a number of propositions to define a future research agenda. In doing so, it draws on a review of the literature regarding supply chain disruptions; relationship formation and evolution; and network formation and evolution.

Design/methodology/approach

The literature review combined traditional contextual analysis with citation analysis and co‐citation, assuming a multi‐level, multi‐theoretical perspective.

Findings

The findings highlight a paucity of empirical research regarding supply chain disruptions assuming a network perspective, highlighting the dynamic nature of networks and emphasising the difference between supply chain disturbance and disruption.

Research limitations/implications

The paper stops short of testing specific hypotheses, providing a conceptual framework and a series of propositions from which testable hypotheses can be developed. The necessity of assuming a dynamic, multi‐level, multi‐theoretical perspective highlights the difficulties of empirical research in this area. However, the significance of understanding the network context of disruption and its connection to the securing of appropriate responses and ultimately reasonable mitigation is unavoidable.

Practical implications

The ability to understand the implications of network structure and network relational dynamics in the context of disruption will enable managers to respond appropriately to disruptive supply chain events. This capability will assume increasing importance in the vulnerable and sensitive global economy.

Originality value

The paper's specific consideration of disruption (as opposed to disturbance), and the necessitated speed of response leads to the development of several disruption‐specific propositions and the development of a new research agenda.

Details

The International Journal of Logistics Management, vol. 22 no. 1
Type: Research Article
ISSN: 0957-4093

Keywords

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Article

Atanu Chaudhuri, Abhijeet Ghadge, Barbara Gaudenzi and Samir Dani

The purpose of the paper is to develop a conceptual framework for improving the effectiveness of risk management in supply networks following a critical literature review.

Abstract

Purpose

The purpose of the paper is to develop a conceptual framework for improving the effectiveness of risk management in supply networks following a critical literature review.

Design/methodology/approach

A critical review of 91 scholarly journal articles published between 2000 and 2018 supports the development of an integrated conceptual framework.

Findings

The findings emphasize that supply chain integration (SCI) can have both a positive and negative impact on the effectiveness of risk management in supply networks. It is possible to have a positive effect when SCI can be used to develop competencies in joint risk planning within the organization and with wider supply network members and, in turn, to develop collaborative risk management capabilities. Supply network characteristics can influence whether and the extent to which SCI has a positive or negative impact on risk management effectiveness.

Research implications

The conceptual framework can be used to empirically assess the role of SCI for effective risk management. Dynamic evaluation of the effectiveness of risk management and potential redesign of the supply network by considering other contingent factors are some future research avenues.

Practical implications

There is a need for developing specific competencies in risk planning within organizations and joint risk planning with supply network members which, in turn, can help develop collaborative risk management capabilities to improve the effectiveness of risk management in supply networks. Network characteristics will influence whether and the extent to which SCI results in the effectiveness of risk management.

Originality value

Moving beyond recent (systematic) reviews on supply chain risk management, this study develops a novel conceptual framework interlinking SCI and the effectiveness of risk management while considering network characteristics.

Details

International Journal of Logistics Management, The, vol. 31 no. 1
Type: Research Article
ISSN: 0957-4093

Keywords

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Article

Woojung Chang, Alexander E. Ellinger and Jennifer Blackhurst

As global supply networks proliferate, the strategic significance of supply chain risk management (SCRM) – defined as the identification, evaluation, and management of…

Abstract

Purpose

As global supply networks proliferate, the strategic significance of supply chain risk management (SCRM) – defined as the identification, evaluation, and management of supply chain-related risks to reduce overall supply chain vulnerability – also increases. Yet, despite consistent evidence that firm performance is enhanced by appropriate fit between strategy and context, extant SCRM research focusses more on identifying sources of supply chain risk, types of SCRM strategy, and performance implications associated with SCRM than on the relative efficacy of alternative primary supply chain risk mitigation strategies in different risk contexts. Drawing on contingency theory, a conceptual framework is proposed that aligns well-established aspects of SCRM to present a rubric for matching primary alternative supply chain risk mitigation strategies (redundancy and flexibility) with particular risk contexts (severity and probability of risk occurrence). The paper aims to discuss these issues.

Design/methodology/approach

Conceptual paper.

Findings

The proposed framework addresses supply chain managers’ need for a basic rubric to help them choose and implement risk mitigation approaches. The framework may also prove helpful for introducing business students to the fundamentals of SCRM.

Originality/value

The framework and associated research propositions provide a theoretically grounded basis for managing the firm’s portfolio of potential supply chain risks by applying appropriate primary risk mitigation strategies based on the specific context of each risk rather than taking a “one size fits all” approach to risk mitigation. An agenda for progressing research on contingency-based approaches to SCRM is also presented.

Details

The International Journal of Logistics Management, vol. 26 no. 3
Type: Research Article
ISSN: 0957-4093

Keywords

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