Consistency matters: Revisiting the structural complexity for supply chain networks

Lin, Yun Hui; Wang, Yuan; Lee, Loo Hay; Chew, Ek Peng

doi:10.1016/j.physa.2021.125862

Cited by 7 publications

(3 citation statements)

References 42 publications

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“…e automatic relay application takes control over distribution and the SCN system. Automatic relay controls the heavy workload of the transportation system [4,5].…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Intelligence Algorithm in Relay Protection of Distribution Network

Yang

Qian

Ren

2022

International Transactions on Electrical Energy Systems

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A distribution network in supply chain management increases product reachability and handling density across different warehouses and customers. Relays in the distribution network prevent congestion, supply stagnancy, and delayed deliveries. Protecting the relay functions and streamlining them are tedious due to the varying vehicle and goods densities. This article introduces a populous relay management scheme (PRMS) for multi-access in delivery networks to address the problem above. The proposed scheme relies on vehicle and goods movement frequency for improving the relay utilization without congestion. These features are analyzed for the stagnancy and dispatch priority in maximizing the goods delivery. The conventional back propagation network is employed for identifying stagnancy and relay population (congestion) for distributed delivery assignments. The back propagation process identifies the prioritized tasks for preventing delivery delays and reducing congestion through priority segregation. This enhances the least to large-good migration with controlled delay and rapid migration, reducing congestion.

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“…e automatic relay application takes control over distribution and the SCN system. Automatic relay controls the heavy workload of the transportation system [4,5].…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Intelligence Algorithm in Relay Protection of Distribution Network

Yang

Qian

Ren

2022

International Transactions on Electrical Energy Systems

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“…Hereafter SCI is exclusively used to indicate vertical complexity and SCI′ to indicate horizontal complexity. Vertical supply chain complexity refers to the upstream depth of supply chains, whereas horizontal supply chain complexity refers to the number of immediate upstream connections or suppliers 4 , 37 – 40 . To account for these dimensions with our supply networks, we use the in-strength (i.e., a product’s total inflow to a region) and in-degree (i.e., a region’s total number of supplier connections for a given product) of a node (region) to quantify the vertical and horizontal complexity, respectively.…”

Section: Methodsmentioning

confidence: 99%

Cities can benefit from complex supply chains

2023

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Supply chain complexity is perceived to exacerbate the supply disruptions or shocks experienced by a city. Here, we calculate two network measures of supply chain complexity based on the relative number—horizontal complexity—and relative strength—vertical complexity—of a city’s suppliers. Using a large dataset of more than 1 million annual supply flows to 69 major cities in the United States for 2012–2015, we show that a trade-off pattern between horizontal and vertical complexity tends to characterize the architecture of urban supply networks. This architecture shapes the resistance of cities to supply chain shocks. We find that a city experiences less intense shocks, on average, as supplier relative diversity (horizontal complexity) increases for more technologically sophisticated products, which may serve as a mechanism for buffering cities against supply chain shocks. These results could help cities anticipate and manage their supply chain risks.

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“…In fact, there has been little development of complexity measures concerning the interconnectedness between project activities as the key element in project complexity's definition. The diversity of contexts upon which the complexity of project networks can be evaluated has been the main impediment to the development of a comprehensive measure of structural complexity in project networks (Lin et al, 2021). Despite this diversity, however, there is a direct correlation between the level of structural complexity and the uniformity of project activities (Ellinas et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Deviation from a state of perfect uniformity: An indicator of structural complexity in projects

Zarghami

2022

Syst Res Behav Sci

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The complexity of projects arising from interconnectedness between activities is believed to be one of the most significant challenges for managing projects. Although the literature has long appreciated the significance of measuring complexity, research on this topic is weakened by the lack of a method that accounts for a diverse set of structural characteristics of project networks. To evade this pitfall, this paper introduces the concept of perfect uniformity and develops a comprehensive measure of structural complexity in projects. The proposed method is validated by applying it in two real‐life projects. The validation results confirm that project complexity is positively associated with a higher level of deviation from a state of perfect uniformity. This research is among few studies that draw on the concept of emergence and point out the importance of a system‐level approach in project management to analyse the interdependency between multiple interconnected activities.

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Consistency matters: Revisiting the structural complexity for supply chain networks

Cited by 7 publications

References 42 publications

Application of Artificial Intelligence Algorithm in Relay Protection of Distribution Network

Application of Artificial Intelligence Algorithm in Relay Protection of Distribution Network

Cities can benefit from complex supply chains

Deviation from a state of perfect uniformity: An indicator of structural complexity in projects

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