Economic Maintenance Planning of Complex Systems Based on Discrete Artificial Bee Colony Algorithm

Chen, Zhaofang; Zhang, Lele; Tian, Guangdong; Nasr, Emad Abouel

doi:10.1109/access.2020.2999601

Cited by 24 publications

(11 citation statements)

References 27 publications

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“…In the future, it is natural to study the pricing and quality problem in the dual-channel supply chain considering incomplete information [37]- [38]. Besides, the competition of the retailers is worthy of studying [39] Proof of Lemma 9.…”

Section: Discussionmentioning

confidence: 99%

Channel Selection Decision in a Dual-Channel Supply Chain: A Consumer-Driven Perspective

Lin

2020

IEEE Access

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In a supply chain, customers have heterogeneity preferences due to channel stickiness and brand stickiness. The complicated behaviors of different customers (i.e., target customers and experience customers) results can lead to channel cannibalization, which increases the difficulties of manufacturers choosing between traditional channel and dual-channel supply chain. Therefore, to examine this claim more carefully, we develop Stackelberg game models to analyze channel selection decisions under the monopoly competition and the duopoly competition. The equilibrium pricing and quality strategies are compared in the dual-channel supply chain with that in the traditional channel and the single online channel. Results show that the channel cannibalism is mainly brought on by the behaviors of the target customers. The corresponding negative effects will be reduced through the flexible pricing and quality strategies, which depend on the consumer types, channel preferences, and brand preferences. Under the monopoly competition, the single online channel is not the dominant option for the monopolistic manufacturer since the expected profits of the experiential customers cannot be obtained to the utmost. When the commissions of the e-commerce platform commissions are low, the manufacturer prefers to the low-quality strategy to prevent the experience customers hemorrhaging from the physical retail channel. With the commissions increasing, the manufacturer adopts the high-quality strategy to attract the customers to the e-commerce platforms, and decrease the channel cannibalization. When the efficiency of the direct online sale is high or the commissions of the e-commerce platforms are lower than the given threshold, the manufacturer prefers to the dual-channel supply chain. Moreover, the less customers the brand stickiness, the greater the value of profits of the manufacturer in the dual-channel supply chain.

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Section: Discussionmentioning

confidence: 99%

Channel Selection Decision in a Dual-Channel Supply Chain: A Consumer-Driven Perspective

Lin

2020

IEEE Access

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“…Chen et al proposed a long short-term memory (LSTM) method, which was built on the normal time-series using the calculation error of the Gaussian Bayesian model. Experimental results on three real datasets showed the advantages of this method [8].…”

Section: Introductionmentioning

confidence: 90%

Expressway Traffic Flow Missing Data Repair Method Based on Coupled Matrix-Tensor Factorizations

Jiang

Deng

2021

Mathematical Problems in Engineering

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Traffic flow data is the basis of traffic management, planning, control, and other forms of implementation. Once missing, it will directly affect the monitoring and prediction of expressway traffic status. Regarding this, this paper proposes a repair method for the traffic flow missing data of expressway, combined with the idea of coupled matrix-tensor factorizations (CMTF), to couple the auxiliary traffic flow data into the main traffic flow data and to construct the coupling matrix-tensor expression of traffic flow data, and the alternating direction multiplier algorithm is used to realize the repair of missing traffic flow data. Combined with the measured data of expressway traffic flow, the experimental results show that, under different missing data types and missing rates, the proposed method outperforms the methods lacking auxiliary traffic flow data and achieves a good repair effect, especially for high miss data rates.

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“…The higher the AUC value is, the better the classification performance will be. For the classification of unbalanced data, the AUC value is still a good metric [25,30,34,35].…”

Section: Take the Unbalance Coefficientmentioning

confidence: 99%

Traffic Incident Detection Method Based on Factor Analysis and Weighted Random Forest

Jiang

Deng

2020

IEEE Access

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Timely and accurate detection of traffic incidents can effectively reduce personal casualties and property losses, and improve the ability of macro-control and scientific decisionmaking of traffic. The unbalance of traffic incident data has a great influence on the detection effect. Therefore, a traffic incident detection method based on factor analysis and weighted random forest (FA-WRF) is designed. Through the analysis of the change rule of traffic flow parameters to build the initial incident variable. The factor analysis (FA) method is used to reduce the dimension of the initial incident variables. Using Bootstrap improved algorithm to predetermine the data extraction standard of the training set. The MCC coefficient value is calculated for the classification effect of the decision tree after training, and is assigned to each tree as a weight value, so as to ensure that the trees with better classification ability have more voting power in the voting process, thus improve the overall classification performance of the random forest (RF) algorithm for unbalanced data. The detection performance is evaluated by the common criteria including the detection rate, the false alarm rate, the classification rate and the area under the curve of the receiver operating characteristic (AUC). Based on the location detector data from expressway, the incident data in which accounts for 6.5%, showing a typical unbalance. The experimental results indicate that the model based on FA-WRF has the better classification effect. Meanwhile it is competitive in processing unbalanced data classification compared with Support Vector Machine.

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Economic Maintenance Planning of Complex Systems Based on Discrete Artificial Bee Colony Algorithm

Cited by 24 publications

References 27 publications

Channel Selection Decision in a Dual-Channel Supply Chain: A Consumer-Driven Perspective

Channel Selection Decision in a Dual-Channel Supply Chain: A Consumer-Driven Perspective

Expressway Traffic Flow Missing Data Repair Method Based on Coupled Matrix-Tensor Factorizations

Traffic Incident Detection Method Based on Factor Analysis and Weighted Random Forest

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