A novel approach for analyzing the nuclear supply chain cyber-attack surface

PurposeThe purpose of this paper is to examine the non-linear aspects of the asymmetry-performance relationship under varying conditions of trust and innovation. Its novel approach is useful for addressing the strategic elements of supply chain management (SCM) relationships based on trust and innovation decisions.Design/methodology/approachResults are based on a study of 90 managers from small- and medium-sized firms in Spain. Instead of a classical linear relationship analysis, the authors performed a non-linear analysis, using polynomial modeling and Warp 3 partial least squares method, which provides a more nuanced view of the data and constitutes an original approach to empirical research in SCM.FindingsThis study adds a new viewpoint on SC relationships by suggesting that not all trust and innovation development leads directly to performance improvement. The principal finding is, in varying trust and innovation contexts, that the influences of asymmetry on performance have uneven characteristics and follow non-linear paths.Research limitations/implicationsThis study focuses on only one particular institutional environment in one country. The data are also cross-sectional, which makes it difficult to empirically test causality.Practical implicationsThe findings provide rational insights to managers on when it is appropriate to reduce (or not) asymmetric relationships with partners.Originality/valueTrust and innovation are important and ones of the key requirements of supply chain relationships in any environment, this study argues that the interactions of key SCM elements that drive members to better performance are more complex and non-linear.

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Assessing Cyber-Worthiness of Complex System Capabilities using MBSE: A new rigorous engineering methodology

10.36227/techrxiv.14703033.v1 ◽

2021 ◽

Author(s):

Stuart Fowler ◽

Keith Joiner ◽

Elena Sitnikova

Keyword(s):

Complex System ◽

Complex Systems ◽

Systems Engineering ◽

Cyber Attacks ◽

Simulation Methods ◽

Assessment Methodology ◽

Cyber Attack ◽

Cyber Threats ◽

Attack Surface ◽

Model Based Systems Engineering

<div>Cyber-worthiness as it is termed in Australian Defence, or cyber-maturity more broadly, is a necessary feature of modern complex systems which are required to operate in a hostile cyber environment. To evaluate the cyber-worthiness of complex systems, an assessment methodology is required to examine a complex system’s or system-of-system’s vulnerability to and risk of cyber-attacks that can compromise such systems. This assessment methodology should address the cyber-attack surface and threat kill chains, including supply chains and supporting infrastructure. A cyber-worthiness capability assessment methodology has been developed based on model-based systems engineering concepts to analyse the cyber-worthiness of complex systems and present a risk assessment of various cyber threats to the complex system. This methodology incorporates modelling and simulation methods that provide organisations greater visibility and consistency across diverse systems, especially to drive cybersecurity controls, investment and operational decisions involving aggregated systems. In this paper, the developed methodology will be presented in detail and hypothesised outcomes will be discussed.</div>

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Establishing link between quality management and supply chain risk management

The TQM Journal ◽

10.1108/tqm-05-2019-0125 ◽

2019 ◽

Vol 32 (5) ◽

pp. 1039-1057

Author(s):

Kunal Ganguly

Keyword(s):

Supply Chain ◽

Quality Management ◽

Performance Measures ◽

Fuzzy Ahp ◽

Supply Chain Risk Management ◽

Risk Matrix ◽

Supply Chain Risk ◽

Content Type ◽

Novel Approach ◽

Continuous Scale

Purpose The purpose of this paper is to present a comprehensive framework for quality-related performance measures linked to supply chain risk (SCR) by analyzing and framing them into a hierarchical structure. Design/methodology/approach In this paper, quality-related performance measures (QM) are identified on the basis of literature survey and expert opinion. The quality measures are formulated as hierarchy structure and fuzzy AHP as a multi attribute decision-making tool is applied to judge the viable candidates. Findings Based on a fuzzy AHP approach, a revised risk matrix with a continuous scale was proposed to assess the QMs’ classes. The result classifies the QMs in different categories (extreme, high, medium and low). Based on this result, some management implications and suggestions are proposed. Originality/value The present work proposes an assessment methodology for quality-related performance measures linked to SCR. The revised risk matrix with continuous scale for risk assessment in this field is a novel approach. This study contributes to the supply chain management and quality management literature, and provides suggestions for managers to adopt different strategies for different risk classes.

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Supply chain resilience for performance: role of relational practices and network complexities

Supply Chain Management An International Journal ◽

10.1108/scm-09-2018-0332 ◽

2019 ◽

Vol 24 (5) ◽

pp. 659-676 ◽

Cited By ~ 6

Author(s):

Md Maruf Hossan Chowdhury ◽

Mohammed Quaddus ◽

Renu Agarwal

Keyword(s):

Supply Chain ◽

Structural Equation ◽

Theoretical Perspective ◽

Supply Chain Performance ◽

Content Type ◽

Supply Chain Resilience ◽

Relational Practices ◽

Novel Approach ◽

The Relationship ◽

Different Levels

PurposeFollowing a contingent resource-based view (CRBV) perspective, this paper aims to explore the operating context in which supply chain resilience (SCRE) is likely to enhance the supply chain performance (SCP) of organizations. More specifically, the authors developed the ‘Supply Chain Resilience’ model wherein we considered two important exogenous context variables (supply chain relational practices [SCRPs] and network complexities [NCs]) and studied their moderating roles on the relationship between SCRE and SCP. The authors also investigated the conditional effect of SCRE on SCP at different levels of SCRPs and NCs.Design/methodology/approachThis study used both qualitative and quantitative approaches. For the qualitative approach, a field study was undertaken, while the quantitative study was conducted via the use of a survey questionnaire of 274 apparel manufacturers and their suppliers in Bangladesh. The authors applied Hayes PROCESS enabled multiple regression analysis and structural equation modelling to statistically test the proposed research models.FindingsThe research findings revealed that SCRP and NC individually moderated the link between SCRE and SCP. The link between SCRE and SCP was strengthened via the interaction effect of SCRP and NC, even if the NC value was high.Practical implicationsThe findings will assist supply chain managers in managing supply chain performance during uncertainties by strengthening resilience capability at different levels of NCs and SCRPs.Originality/valueDrawing on CRBV, the authors studied how the conditional effects of exogenous variables (SCRP and NC) moderated the relationship between SCRE and SCP in both two- and three-way interactions, which is a novel approach in the SCRE literature and also extends the theoretical perspective of CRBV.

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A Novel Approach Integrating AHP and COPRAS Under Pythagorean Fuzzy Sets for Digital Supply Chain Partner Selection

IEEE Transactions on Engineering Management ◽

10.1109/tem.2019.2907673 ◽

2019 ◽

pp. 1-18 ◽

Cited By ~ 4

Author(s):

Gulcin Buyukozkan ◽

Fethullah Gocer

Keyword(s):

Supply Chain ◽

Fuzzy Sets ◽

Partner Selection ◽

Pythagorean Fuzzy Sets ◽

Novel Approach

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A novel approach to safety stock management in an integrated supply chain with controllable lead time and ordering cost reduction using present value

RAIRO - Operations Research ◽

10.1051/ro/2019051 ◽

2020 ◽

Vol 54 (5) ◽

pp. 1327-1346 ◽

Cited By ~ 2

Author(s):

S. Tharani ◽

R. Uthayakumar

Keyword(s):

Supply Chain ◽

Cost Reduction ◽

Lead Time ◽

Cumulative Distribution ◽

Stock Management ◽

Present Value ◽

Safety Stock ◽

Novel Approach ◽

Cost Reductions ◽

Ordering Cost Reduction

This paper presents a novel approach to safety stock management and investigates the impact of lead time reduction within an integrated vendor–buyer supply chain framework using present value where lead time and ordering cost reductions act dependently. In particular, the cost of the safety stock is determined by adopting a logistic approximation to the standard normal cumulative distribution. The service level is formulated in relation to the dimension of the single shipment, to the average demand of the buyer and to the number of admissible stockouts. We first discuss the case where the lead time and ordering cost reductions with linear function, and then consider the logarithmic functional relationship. Numerical examples including the sensitivity analysis with some managerial insights of system parameters is provided to validate the results of the supply chain models. The main contribution of this paper is introducing various types of ordering cost reduction in Braglia et al. (Appl. Stoc. Mod. Bus. Ind. 32 (2016) 99–112) by handling a new approach.

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