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Article
Publication date: 26 September 2008

C.Y. Lam, S.L. Chan, W.H. Ip and C.W. Lau

The aim of this paper is to propose a genetic algorithms approach to develop a collaborative supply chain network, i.e. a supply chain network with genetic algorithms…

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Abstract

Purpose

The aim of this paper is to propose a genetic algorithms approach to develop a collaborative supply chain network, i.e. a supply chain network with genetic algorithms embedded (GA‐SCN), so as to increase the efficiency and effectiveness of a supply chain network.

Design/methodology/approach

The methodologies of the GA‐SCN are illustrated through a case study of a supply chain network of a Hong Kong lamp manufacturing company involving 10 entities, whose roles range from suppliers, purchasers, designers and manufacturers, to sales and distributors. A GA‐SCN is developed according to the information provided by the company, the performance results in the case study are discussed, and the concepts of network analysis are then introduced to analyze the equivalence structure of the developed GA‐SCN.

Findings

The genetic algorithms approach is a suitable approach for developing an efficient and effective supply chain network in terms of shortening the processing time and reducing operating time in the network: the processing time and operating cost are reduced by around 45 percent and 35 percent per order, respectively, in the case study.

Originality/value

This paper is the first known study to apply genetic algorithms for the development of a collaborative supply chain network to increase the competitiveness of a supply chain.

Details

Industrial Management & Data Systems, vol. 108 no. 8
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 8 August 2008

Archie Lockamy

The purpose of this paper is to examine the use of V‐A‐T analysis in the management of supply chain networks.

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3242

Abstract

Purpose

The purpose of this paper is to examine the use of V‐A‐T analysis in the management of supply chain networks.

Design/methodology/approach

The paper provides a conceptual overview of V‐A‐T analysis as a procedure for categorizing manufacturing facilities, and explores the use of V‐A‐T analysis as a technique for the management of supply chain networks.

Findings

There are several challenges to the effective management of supply chain networks. However, organizations can overcome these challenges by understanding the nature of network control points as revealed through the application of V‐A‐T analysis on their supply chains.

Research limitations/implications

The paper is conceptual in nature and must be validated through empirical research studies.

Practical Implications

The concepts presented can be used by supply chain professionals to increase the likelihood of effective supply chain management within their organizations, and by supply chain researchers to further explore the use of V‐A‐T analysis as a tool for examining supply chain networks.

Originality/value

The paper makes a start in filling a void in the literature concerning how V‐A‐T analysis can be used as a tool to facilitate improved supply chain management.

Details

Supply Chain Management: An International Journal, vol. 13 no. 5
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 20 July 2021

Qiang Lu, Yang Deng, Miao Yu, Hua Song and Beini Liu

This paper examines how weak ties and strong ties in the supply chain network influence the financing performance of small and medium enterprises (SMEs) through the…

Abstract

Purpose

This paper examines how weak ties and strong ties in the supply chain network influence the financing performance of small and medium enterprises (SMEs) through the mediation of information sharing and innovation capability.

Design/methodology/approach

Questionnaires were administered to 208 financial managers responsible for supply chain finance in SMEs in China. Data analysis techniques used included multiple regression analysis and fuzzy-set qualitative comparative analysis.

Findings

The authors found that weak ties had a more substantial impact on the financing performance of SMEs than strong ties did. Information sharing and innovation capability played a mediating role between weak and strong ties and the financing performance of SMEs. In addition, information sharing and innovation capability complement each other and jointly influence the financing performance of SMEs.

Practical implications

SMEs are suggested to actively embed themselves in the supply chain network to increase financing opportunities and reduce financing costs. The authors also recommend SMEs to enhance the level of their information sharing in the supply chain network and take advantage of their network ties to access and adopt new technology from other organisations and conduct collaborative innovation with partner institutions.

Originality/value

The paper extends the authors’ understanding of supply chain finance by exploring the intrinsic mechanism of how various constructs (weak ties, strong ties, information sharing and innovation capability) in the supply chain network have an impact on the financing performance of SMEs. In particular, the authors explore the under-researched mediating effect of information sharing and innovation capability on the relationship between network ties and the financing performance of SMEs.

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Article
Publication date: 13 May 2021

Byung-Gak Son, Sangho Chae and Canan Kocabasoglu-Hillmer

Catastrophic supply chain disruptions can significantly damage the operational and financial performance of firms. While a growing body of literature on supply network

Abstract

Purpose

Catastrophic supply chain disruptions can significantly damage the operational and financial performance of firms. While a growing body of literature on supply network structures has studied what influences supply networks' vulnerability to supply chain disruptions and capability to recover from them, it remains unclear how supply network structures change after major supply chain disruptions. We aim to provide an understanding of how these changes occur.

Design/methodology/approach

Using a natural experiment approach and supply network data from Factset, this study investigates how firms' supply network structures change after experiencing the catastrophic supply chain disruptions caused by the 2011 Tohoku earthquake and tsunami in Japan. We capture post-earthquake supply network changes using the measures of degree centrality and ego network density.

Findings

The results of the analysis suggest that compared to unaffected firms, the affected firms experience changes in their supply network structures tending toward lower complexity measured by in-degree centrality, out-degree centrality and ego network density.

Originality/value

This study contributes to social network theory and the complex adaptive supply network literature by providing empirical evidence of structural changes in supply networks after catastrophic supply chain disruptions. A managerial contribution is made by providing a reflection on why these changes might be occurring and alert firms to the challenges of managing complexity in their supply networks.

Details

International Journal of Operations & Production Management, vol. 41 no. 6
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 29 January 2021

Pushpesh Pant, Shantanu Dutta and S.P. Sarmah

The purpose of this paper is to conduct a large-sample empirical examination of how intangible supply chain complexity impacts firm performance in light of a firm's…

Abstract

Purpose

The purpose of this paper is to conduct a large-sample empirical examination of how intangible supply chain complexity impacts firm performance in light of a firm's organizational structure.

Design/methodology/approach

The study uses panel data from 2,580 Indian manufacturing firms and constructs empirical proxy for intangible supply chain complexity, i.e. CHQ distance from major cities. The proposed conceptual model is grounded in the dynamic capability view (DCV) and social network theory (SNT). Multivariate regression analyses are performed to investigate the effect of intangible complexity on firm performance.

Findings

Results show that intangible supply chain complexity, as proxied by “CHQ distance from major cities”, negatively affects firm performance and a firm's organizational structure plays an important role in conceiving CHQ locational strategies. Firms with interconnected supply chain and social network (e.g. business group firms) have a higher propensity to locate their CHQs farther away from major cities, and business group firms that have more distantly located CHQs experience better financial performance compared to independent firms (with less network resources).

Originality/value

In light of the supply chain literature and relevant theories, the study conceptualizes intangible supply chain complexity as “CHQ distance from major cities” and deepens our understanding of the relationship between intangible complexity and firm performance in light of organizational structure. Further, it develops an objective understanding of intangible supply chain complexity by relying on secondary panel data.

Details

The International Journal of Logistics Management, vol. 32 no. 4
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 12 March 2021

Liukai Wang, Ji Yan, Xiaohong Chen and Qifa Xu

The purpose of this study is to bridge the gap in the literature on supply chain finance (SCF) by exploring the relationship between network capabilities and corporate…

Abstract

Purpose

The purpose of this study is to bridge the gap in the literature on supply chain finance (SCF) by exploring the relationship between network capabilities and corporate financial performance (CFP) in financial supply chains (FSCs).

Design/methodology/approach

The authors collect panel data and adopt regression analysis to analyse the joint investment activities among 1359 manufacturing firms and 289 financial service providers in China to explore how network capabilities, both network power and network centrality, improve CFP in the FSCs.

Findings

Under the FSCs environments, network centrality (i.e. eigenvector centrality, closeness centrality and betweenness centrality) raises CFP (ROA, ROE and Tobin's Q) and network power (node degree, clustering coefficient) also improves CFP. However, node strength from the network power stream has a negative effect on Tobin's Q, indicating that when the partner of a firm has an extremely strong influence in FSCs; this weakens the bargaining ability and flexibility of the focal firm, thus reducing its long-term financial performance.

Practical implications

The joint investment activities among supply chain partners and financial service providers help managers understand the advanced financing solutions generated by internal and external network organisations as well as be aware of network capabilities' impact on CFP in FSCs.

Originality/value

This study answers the call for more empirical research on SCF to provide a broader sample to examine financial supply chain management. This is one of the earliest studies to shed light on a new perspective – how network capabilities improve CFP in the FSCs.

Details

International Journal of Operations & Production Management, vol. 41 no. 4
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 8 February 2021

Nasiru Zubairu, John Dinwoodie, Kannan Govindan, Lise Hunter and Saeyeon Roh

The purpose of this study is to identify and evaluate supply chain strategies (SCSs) that drive financial performance to guide practitioners, especially in liquefied…

Abstract

Purpose

The purpose of this study is to identify and evaluate supply chain strategies (SCSs) that drive financial performance to guide practitioners, especially in liquefied natural gas (LNG) networks, to review and adopt SCSs that drive competitiveness and value creation for investors.

Design/methodology/approach

Analytical hierarchy process (AHP) was deployed to prioritise SCSs according to their relative impact on financial performance in LNG networks. Interviews with experts were analysed using template analysis to establish latent drivers of financial performance specific to LNG networks.

Findings

Results support the significant role of SCSs in improving financial performance. Although findings prioritised collaborative strategy as the most important driver of financial performance in LNG networks, to fully optimise financial outcomes, all the SCSs should be implemented across LNG networks as no single strategy in isolation is a standalone driver of financial performance.

Practical implications

The AHP model provides a novel ranking for SCSs and measures to guide decision-makers. LNG practitioners may exploit the results to make informed decisions.

Originality/value

The study extends previous literature by proposing a framework and a new LNG empirical model that facilitates understanding of how SCSs contribute positively to financial performance and support practitioners in making strategic supply chain decisions.

Details

Supply Chain Management: An International Journal, vol. 26 no. 5
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 11 March 2021

Abroon Qazi and Mecit Can Emre Simsekler

The purpose of this paper is to develop and operationalize a process for prioritizing supply chain risks that is capable of capturing the value at risk (VaR), the maximum…

Abstract

Purpose

The purpose of this paper is to develop and operationalize a process for prioritizing supply chain risks that is capable of capturing the value at risk (VaR), the maximum loss expected at a given confidence level for a specified timeframe associated with risks within a network setting.

Design/methodology/approach

The proposed “Worst Expected Best” method is theoretically grounded in the framework of Bayesian Belief Networks (BBNs), which is considered an effective technique for modeling interdependency across uncertain variables. An algorithm is developed to operationalize the proposed method, which is demonstrated using a simulation model.

Findings

Point estimate-based methods used for aggregating the network expected loss for a given supply chain risk network are unable to project the realistic risk exposure associated with a supply chain. The proposed method helps in establishing the expected network-wide loss for a given confidence level. The vulnerability and resilience-based risk prioritization schemes for the model considered in this paper have a very weak correlation.

Originality/value

This paper introduces a new “Worst Expected Best” method to the literature on supply chain risk management that helps in assessing the probabilistic network expected VaR for a given supply chain risk network. Further, new risk metrics are proposed to prioritize risks relative to a specific VaR that reflects the decision-maker's risk appetite.

Details

International Journal of Quality & Reliability Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 26 March 2021

Mahmud Akhter Shareef, Yogesh Dwivedi, Jashim Uddin Ahmed, Uma Kumar and Rafeed Mahmud

This paper aims to address procurement, logistics management, inventory control and distribution of perishable items, i.e. vegetables, fruits, flowers and fishes, during…

Abstract

Purpose

This paper aims to address procurement, logistics management, inventory control and distribution of perishable items, i.e. vegetables, fruits, flowers and fishes, during the social isolation period of the Covid-19 era to identify conflicting interests among the channel members; present inventory and information sharing scenario; and reveal organizational dispute and existence of redundant, nonessential and corrupted members in the supply chain.

Design/methodology/approach

This study uses an exploratory investigation to evaluate the relations among the members of the supply chain of perishable food items. In this context, it is designed to investigate the field, observe the members of the existing supply chain from rural and remote places and capture their interviews to accomplish the objectives.

Findings

This study identified that although the supply chain of perishable food items is controlled truly by private parties, from a realistic view, the private–public partnership is essential where the government should play the coordinating role. In this context, continuous interaction, coordination and information sharing among the members to establish an optimum and scalable network and remove any redundant nodal points is a key success factor for managing an efficient supply chain.

Research limitations/implications

Theoretical and managerial implication of this research is enormous. The existence of functional and dysfunctional conflicts in the same supply network and how it can be detrimental to the performance of the members are exposed in this study, which can be an excellent source to be investigated. Practitioners and researchers can gain a greater understanding to identify the root causes of conflicts in the existing structural dynamics, shedding light on organizational interactions, power and group behavior during the Covid-19 era.

Originality/value

From the light of management and inter-organizational conflicts, this is a pioneer study that has detected the redundant channel members, their source of power and how their removal can present an optimum channel with group coherence and synergistic interest.

Details

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

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Article
Publication date: 28 October 2020

Leila Alinaghian, Jilin Qiu and Kamran Razmdoost

The purpose of this paper is to systematically review and assess the current status of research on supply chain sustainability from a network structural perspective and…

Abstract

Purpose

The purpose of this paper is to systematically review and assess the current status of research on supply chain sustainability from a network structural perspective and provide an organising framework for future scholarship in this area.

Design/methodology/approach

By adopting an evidence-based approach, this study conducts a systematic review of 73 articles from 18 peer-reviewed journals published between 2000 and 2020.

Findings

Adopting a social network analysis approach, the review identifies specific node-level (i.e. degree centrality, closeness centrality and betweenness centrality) and network-level (i.e. network density, network sub-groups and network diversity) structural properties that play a role in supply chain sustainability. The results reveal that structural properties determine the extent of perception of sustainability risks, the diffusion of sustainability targets, introduction of sustainable innovations, development of sustainability capabilities, adoption of sustainability initiatives and the monitoring of sustainability performance throughout the supply chain.

Originality/value

By distinguishing between supply network and sustainable supply network types, this study extends the existing understandings of the role of network connectivity patterns in supply chain sustainability through synthesising and evaluating the extant literature. This study further clarifies the role of these network structural properties in supply chain sustainability by describing their impact on a set of sustainable supply chain management practices through which firms achieve sustainability goals across their supply chains.

Details

Supply Chain Management: An International Journal, vol. 26 no. 2
Type: Research Article
ISSN: 1359-8546

Keywords

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