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1 – 10 of over 61000
Article
Publication date: 29 July 2020

Vivian Sebben Adami, Jorge Renato Verschoore and Miguel Afonso Sellitto

The purpose of this article is to compare design choices and assess the structural complexity of six manufacturing supply chains (SCs) of the Brazilian wind turbine industry.

Abstract

Purpose

The purpose of this article is to compare design choices and assess the structural complexity of six manufacturing supply chains (SCs) of the Brazilian wind turbine industry.

Design/methodology/approach

The research method is quantitative modeling. This study adopts the social network perspective to provide a broad set of network metrics for comparative analysis and characterization of the structural configuration and complexity of SCs. Transaction costs and the risk of disruption supported the metrics employed in the study. Network size, network density, core-size and centralization metrics stem from transaction costs, whereas constraint and betweenness centrality stem from risk of disruption.

Findings

The main conclusion is that, in the Brazilian wind manufacturing industry, increasing the SC structural complexity by adding redundant ties to minimize disruption risks, even implying higher transaction costs, increases the capacity to win orders.

Research limitations/implications

Only the Brazilian wind turbine industry was studied. Therefore, findings are not general, but specific, to the case.

Practical implications

Managers and practitioners of the Brazilian wind turbine industry should focus on increasing the complexity of their SCs, even if it increases transaction costs, to ensure due dates compliance in orders.

Originality/value

To the best of the available knowledge, there is no commonly accepted or shared measurement for SC complexity, and this study proposed an alternative approach to bridge this research gap, the structural perspective of social networks. Traditional measures were complemented by new metrics, and the power of the application of social network analysis to SC investigations was empirically demonstrated in different levels of analysis.

Details

The International Journal of Logistics Management, vol. 32 no. 1
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 24 April 2007

Yongyut Meepetchdee and Nilay Shah

This paper aims to propose a logistical network design framework with robustness and complexity considerations.

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Abstract

Purpose

This paper aims to propose a logistical network design framework with robustness and complexity considerations.

Design/methodology/approach

The paper defines robustness, complexity, and normalised efficiency of a logistical network. A mathematical model is then constructed based on the conceptual framework and applied to a hypothetical case study with varying robustness requirements. The mathematical model is formulated as an Mixed‐Integer Linear Programming problem. Furthermore, the paper introduces a graph‐theoretic view of the logistical network and presents its topological properties such as average path length, clustering coefficient, and degree distribution.

Findings

The results show that logistical network configurations can be obtained with desirable robustness levels whilst minimising cost. The relationships of robustness versus normalised efficiency and complexity are also presented. The results show that relationships between logistical network topological properties and robustness exist, as in other real world natural and man‐made complex networks.

Practical implications

Logistical network design is one of the earliest strategic decisions in supply chain management that supply chain managers have to make. Practitioners and researchers typically focus on optimising efficiency and/or responsiveness of logistical networks. It is argued that logistical network designers should also consider robustness and complexity as they are important characteristics of logistical network functionality. The logistical network design frame work successfully incorporates robustness and complexity into design considerations.

Originality/value

This paper newly introduces other important performance measures, robustness and complexity, into the logistical network design objective. The design framework is highly relevant and adds value to logistical network designers and managers.

Details

International Journal of Physical Distribution & Logistics Management, vol. 37 no. 3
Type: Research Article
ISSN: 0960-0035

Keywords

Article
Publication date: 11 October 2019

Thomas E. Johnsen, Ole Stegmann Mikkelsen and Chee Yew Wong

The purpose of this paper is to explore the challenges facing companies that operate within complex supply networks and the strategies they use to manage such complex…

Abstract

Purpose

The purpose of this paper is to explore the challenges facing companies that operate within complex supply networks and the strategies they use to manage such complex supply networks.

Design/methodology/approach

The paper uses mixed methods by combining in-depth case studies with an executive forum with those of senior industry stakeholders. The two in-depth supply network case studies were carried out through multiple interviews with focal (or ‘developer’) firms that supply energy through offshore wind power and key suppliers such as wind turbine manufacturers.

Findings

The findings show the challenges the offshore wind power industry faces because of complex supply networks, including attempts by several actors to exert their power and control. Despite the networks facing similar complexities and challenges, two distinctly different strategies for orchestrating and governing supply networks are uncovered: one strategy resembles an interventionist strategy, while the other is based on delegation.

Research limitations/implications

Based on the findings, the authors identify and develop a classification of complex supply network divided into intervention and delegation strategies, thereby adding to existing research on ways to manage complex supply networks.

Practical implications

The authors identify strategies for focal firms for managing in complex supply networks, based on control and intervention or coordination and delegation.

Originality/value

Existing research on supply network strategies has largely focused on non-complex contexts. This paper draws from complex adaptive systems and organisational behaviour perspectives to contribute original insights into supply network strategies in complex supply networks.

Details

Supply Chain Management: An International Journal, vol. 24 no. 6
Type: Research Article
ISSN: 1359-8546

Keywords

Article
Publication date: 1 August 2016

Fulvio Mazzocchi

The purpose of this paper is to contribute to refine the conceptual framework of complexity. For such a purpose, a number of epistemologically oriented remarks are…

Abstract

Purpose

The purpose of this paper is to contribute to refine the conceptual framework of complexity. For such a purpose, a number of epistemologically oriented remarks are provided, arguing about the relevance of second-order considerations for complexity and the importance of pluralism in scientific research.

Design/methodology/approach

At first, the paper focuses on one of the topical areas of complexity research, i.e. network theory, but uses this for drawing the attention to more general issues. The underlying assumption is that scientific and philosophical research might complement each other, and that this is especially crucial for the advancement of complexity.

Findings

The paper suggests three ways for refining the scheme of complexity: analyzing it at the right level, i.e. not focusing on single principles or theories (e.g. network theory), but rather on the overall frame; including both ontological and epistemological considerations; and recognizing how the epistemological implications of complexity foster the adoption of a pluralist stance in scientific research (and beyond).

Social implications

The way in which science (complexity) is portrayed, i.e. as “perspectival” and inclined to pluralism, could impact on how it is thought, designed and socially perceived.

Originality/value

Complexity is one of most promising fields of contemporary science, but still lacks of a coherent frame of analysis. This requires an investigation from different point of views, as an object of interdisciplinary cooperation. The main paper’s value consists of providing second-order considerations which puts scientific findings in perspective and can contribute to a better understanding of their meaning from a philosophical standpoint too.

Details

Kybernetes, vol. 45 no. 7
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 24 September 2019

Farman Afzal, Shao Yunfei, Mubasher Nazir and Saad Mahmood Bhatti

In the past decades, artificial intelligence (AI)-based hybrid methods have been increasingly applied in construction risk management practices. The purpose of this paper…

1833

Abstract

Purpose

In the past decades, artificial intelligence (AI)-based hybrid methods have been increasingly applied in construction risk management practices. The purpose of this paper is to review and compile the current AI methods used for cost-risk assessment in the construction management domain in order to capture complexity and risk interdependencies under high uncertainty.

Design/methodology/approach

This paper makes a content analysis, based on a comprehensive literature review of articles published in high-quality journals from the years 2008 to 2018. Fuzzy hybrid methods, such as fuzzy-analytical network processing, fuzzy-artificial neural network and fuzzy-simulation, have been widely used and dominated in the literature due to their ability to measure the complexity and uncertainty of the system.

Findings

The findings of this review article suggest that due to the limitation of subjective risk data and complex computation, the applications of these AI methods are limited in order to address cost overrun issues under high uncertainty. It is suggested that a hybrid approach of fuzzy logic and extended form of Bayesian belief network (BBN) can be applied in cost-risk assessment to better capture complexity-risk interdependencies under uncertainty.

Research limitations/implications

This study only focuses on the subjective risk assessment methods applied in construction management to overcome cost overrun problem. Therefore, future research can be extended to interpret the input data required to deal with uncertainties, rather than relying solely on subjective judgments in risk assessment analysis.

Practical implications

These results may assist in the management of cost overrun while addressing complexity and uncertainty to avoid chaos in a project. In addition, project managers, experts and practitioners should address the interrelationship between key complexity and risk factors in order to plan risk impact on project cost. The proposed hybrid method of fuzzy logic and BBN can better support the management implications in recent construction risk management practice.

Originality/value

This study addresses the applications of AI-based methods in complex construction projects. A proposed hybrid approach could better address the complexity-risk interdependencies which increase cost uncertainty in project.

Details

International Journal of Managing Projects in Business, vol. 14 no. 2
Type: Research Article
ISSN: 1753-8378

Keywords

Article
Publication date: 19 October 2012

Markus Gerschberger, Corinna Engelhardt‐Nowitzki, Sebastian Kummer and Franz Staberhofer

The purpose of this paper is to further advance an existing supplier evaluation model for the purpose of identifying those supplier relations which predominantly threaten…

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Abstract

Purpose

The purpose of this paper is to further advance an existing supplier evaluation model for the purpose of identifying those supplier relations which predominantly threaten or worsen a company's performance. A defined basic set of parameters to determine complexity facilitates the identification of critical locations within a supply network (SN) under certain business conditions.

Design/methodology/approach

This paper is based on a structured literature review in scientific periodicals in logistics/supply chain management between 2000 and 2009. Articles are analysed based on a structured framework and the identified complexity parameters are operationalised using quantitative and summable measures. The conceptual model is applied within a multiple case study in the Austrian agricultural industry.

Findings

This paper illustrates how complexity in SNs can be operationalised in a company‐specific configuration in order to achieve concrete managerial recommendations. Hence, the model allows evaluating SN‐partners based on selected parameters to determine the contribution of a single partner to the overall complexity.

Research limitations/implications

Due to the literature review executed and the case study approach chosen, the research may lack generalisability. Therefore, continued validation by means of implementing a greater amount of use cases in other companies and industries is advisable.

Practical implications

Applying the model, a company is able to determine tier‐1 to tier‐n suppliers which are predominantly affecting its business from a complexity perspective.

Originality/value

Unlike typical current complexity evaluation approaches, the proposed model respects rapid and continuous applicability, profound conceptualisation and practical feasibility.

Details

Journal of Manufacturing Technology Management, vol. 23 no. 8
Type: Research Article
ISSN: 1741-038X

Keywords

Abstract

Details

Handbook of Transport Geography and Spatial Systems
Type: Book
ISBN: 978-1-615-83253-8

Open Access
Article
Publication date: 21 March 2022

Maisam Abbasi and Liz Varga

The purpose of this research is to systematically review the properties of supply chains demonstrating that they are complex systems, and that the management of supply…

Abstract

Purpose

The purpose of this research is to systematically review the properties of supply chains demonstrating that they are complex systems, and that the management of supply chains is best achieved by steering rather than controlling these systems toward desired outcomes.

Design/methodology/approach

The research study was designed as both exploratory and explanatory. Data were collected from secondary sources using a comprehensive literature review process. In parallel with data collection, data were analyzed and synthesized.

Findings

The main finding is the introduction of an inductive framework for steering supply chains from a complex systems perspective by explaining why supply chains have properties of complex systems and how to deal with their complexity while steering them toward desired outcomes. Complexity properties are summarized in four inter-dependent categories: Structural, Dynamic, Behavioral and Decision making, which together enable the assessment of supply chains as complex systems. Furthermore, five mechanisms emerged for dealing with the complexity of supply chains: classification, modeling, measurement, relational analysis and handling.

Originality/value

Recognizing that supply chains are complex systems allows for a better grasp of the effect of positive feedback on change and transformation, and also interactions leading to dynamic equilibria, nonlinearity and the role of inter-organizational learning, as well as emerging capabilities, and existing trade-offs and paradoxical tensions in decision-making. It recognizes changing dynamics and the co-evolution of supply chain phenomena in different scales and contexts.

Details

European Journal of Management Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2183-4172

Keywords

Article
Publication date: 6 July 2021

Fabienne Chedid, Canan Kocabasoglu-Hillmer and Jörg M. Ries

The importance of the supply network to firm performance is well documented. Until now, the firm and its suppliers have been conceptualized as single entities. Yet…

Abstract

Purpose

The importance of the supply network to firm performance is well documented. Until now, the firm and its suppliers have been conceptualized as single entities. Yet, multinational corporations (MNCs) are composed of a complex, geographically dispersed internal network of subsidiaries. The supply and internal networks are inherently linked. The purpose of this study is to investigate the impact of the interaction of these networks on firm-level financial performance.

Design/methodology/approach

Building on supply network, internal network and dual embeddedness research, the authors investigate the interaction of these networks using supply network data from FactSet and internal network data from Orbis. We assess the impact at the MNC level, using measures of firm-level financial performance, physical proximity between the two networks and geographic dispersion of the internal network.

Findings

The results show that the performance effect of physical proximity of the firm with its supply network is negatively moderated by the geographic dispersion of the firm's internal network. This effect can be traced back to the diminishing marginal profitability of a firm's assets. Moreover, the benefits of dual embeddedness to the individual subsidiary come at a cost at the firm-level due to the operational challenges of managing a complex subsidiary network.

Research limitations/implications

This study is the first to investigate the supply and internal networks of MNCs simultaneously.

Originality/value

The paper extends supply network literature by considering the internal network of the focal firm and its suppliers. This paper is one of the first studies that offer an understanding of the interaction between supply and internal networks of a focal firm and the effect on financial performance.

Details

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

Keywords

Article
Publication date: 1 March 2003

Toshio Nakagawa and Kazumi Yasui

Large‐scale systems have been developed with increasing requirements of high quality and performance. It would be indispensable to define the reliability of more complex…

654

Abstract

Large‐scale systems have been developed with increasing requirements of high quality and performance. It would be indispensable to define the reliability of more complex systems, considering their complexity. This paper defines a complexity of redundant systems as a logarithmic function of paths, using the concept of an entropy. Further, a reliability function of complexity is given, and the reliabilities of series and parallel systems with complexity are computed. As one of typical redundant systems, a majority voting system is analyzed, and an optimal number of components is derived. Finally, a complexity of network systems is also proposed.

Details

Journal of Quality in Maintenance Engineering, vol. 9 no. 1
Type: Research Article
ISSN: 1355-2511

Keywords

1 – 10 of over 61000