Logistical network design with robustness and complexity considerations
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 co...
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| Vydáno v: | International journal of physical distribution & logistics management Ročník 37; číslo 3; s. 201 - 222 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Bradford
Emerald Group Publishing Limited
24.04.2007
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| Témata: | |
| ISSN: | 0960-0035, 1758-664X |
| On-line přístup: | Získat plný text |
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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. |
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| AbstractList | Purpose This paper aims to propose a logistical network design framework with robustness and complexity considerations. Designmethodologyapproach 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 MixedInteger Linear Programming problem. Furthermore, the paper introduces a graphtheoretic 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 manmade 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 andor 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. Originalityvalue 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. 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. 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. This paper aims to propose a logistical network design framework with robustness and complexity considerations. 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. 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. 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. |
| Author | Shah, Nilay Meepetchdee, Yongyut |
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| Cites_doi | 10.1093/oso/9780195079517.001.0001 10.1002/j.1538-7305.1948.tb01338.x 10.1108/01443579510083640 10.1021/ie000668m 10.1016/j.compchemeng.2004.02.028 10.1038/30918 10.1023/A:1012820719986 10.1016/j.compchemeng.2004.06.006 10.1021/ie0100030 10.1103/RevModPhys.74.47 |
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