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The influence of franchisee loss on logistics network: A new perspective from NK model
Swarm and Evolutionary Computation ( IF 8.2 ) Pub Date : 2019-10-19 , DOI: 10.1016/j.swevo.2019.100595
Yihang Feng , Bin Hu , Changying Ke

Franchisee has become a powerful tool for many logistics enterprises in affiliate mode to seize market share. But affiliate mode has emerged many drawbacks that can aggravate the divergence of interests between franchisees and headquarter and then leads to the problem of franchisee loss. In this paper, the franchisee loss problem is studied from the perspective of vulnerability. The loss of a franchisee is seen as a node that has been attacked. The performance change before and after an attack is used to reflect the strength of a network’s vulnerability. Efficacy and efficiency are proposed to measure the performance change based on NK model, which specializes in studying complex adaptive system such as logistics network. Results show that efficacy and efficiency vary according to network scale. For relatively small networks, their efficacy shows more obvious fluctuation with the variation of network scale than efficiency does. In these networks, the redundancy of network nodes is high. But the percentage of redundant nodes decreases with the increase of scale and the efficacy can be improved with the reduction of redundant nodes. The network structure of them is not stable. As for relatively large networks, efficiency fluctuates more apparently with the change of complexity than efficacy does. In these networks, most nodes are influential and the percentage of influential nodes shows obvious change with complexity. The network structure tends to be stable. In conclusion, the study on the influence of franchisee loss from vulnerability can provide us with greater visibility and insight into the organization structure of logistics networks. Corresponding cases are introduced to confirm our conclusions.



中文翻译:

加盟商亏损对物流网络的影响:NK模型的新视角

加盟商已成为许多物流企业以会员模式抢占市场份额的有力工具。但是会员模式出现了许多弊端,这些弊端加剧了加盟商与总部之间的利益分歧,进而导致加盟商流失的问题。本文从脆弱性的角度研究了特许经营者的损失问题。失去加盟商的行为被视为受到攻击的一个节点。攻击前后的性能变化用于反映网络漏洞的强度。提出了效率和效率来衡量基于NK的性能变化模型,专门研究物流网络等复杂的自适应系统。结果表明,有效性和效率随网络规模的变化而变化。对于相对较小的网络,其效率随网络规模的变化表现出比效率更明显的波动。在这些网络中,网络节点的冗余度很高。但是冗余节点的百分比随着规模的增加而降低,并且随着冗余节点的减少,可以提高效率。它们的网络结构不稳定。对于相对较大的网络,效率随复杂性的变化而变化的幅度明显大于功效。在这些网络中,大多数节点具有影响力,并且影响节点的百分比显示出随着复杂性而发生的明显变化。网络结构趋于稳定。综上所述,对加盟商因脆弱性而造成的损失的影响的研究可以使我们对物流网络的组织结构具有更大的可视性和洞察力。引入相应的案例以确认我们的结论。

更新日期:2019-10-19
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