Hao Zhang

Hangzhou Normal University

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Yuxin Shi

The First Affiliated Hospital, Sun Yat-sen University

Mingke He

Beijing Technology and Business University

Haoxiong Yang

Beijing Technology and Business University

Liyu Zhu

Zhuzhou Central Hospital

Yan Cui

Shanghai Jiao Tong University

Tienan Zhang

Hunan Institute of Engineering

Shensi Xu

Beijing Technology and Business University

Li Cui

Nanjing Polytechnic Institute

Hanpo Hou

Beijing Technology and Business University

Honghua Zhao

Corteva (United States)

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Beijing Technology and Business University

Chinese Academy of Sciences

Zhejiang University

Tongji University

Peking University

Beijing University of Posts and Telecommunications

Shandong University

Huazhong University of Science and Technology

Sun Yat-sen University

Wuhan University of Technology

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Applying catastrophe progression method to evaluate the service quality of cold chain logistics

Complex & Intelligent Systems (2020)

Hao Zhang Yuxin Shi Bin Qiu

Abstract Logistics service quality (LSQ) is one of the key influential factors in the success of an ecommerce business. In view of the complexity of the topic, this paper proposes a novel model for fresh ecommerce cold chain LSQ evaluation based on the catastrophe progression method. In the proposed methodology, first an index system for evaluating the fresh ecommerce cold chain LSQ is established from the perspective of service recipients. Then, the comprehensive weight of each evaluation index is determined using a combination weighting approach based on maximizing deviations and fuzzy set theory. The priority weights and the ranking of the indices are determined using the catastrophe progression method. Finally, the model is applied in a case study of two representative enterprises. The study demonstrates the validity and practical applicability of the proposed model. Also, based on the evaluation results and findings, some improvement suggestions are made for improving the cold chain LSQ of similar kinds of fresh ecommerce companies.

Cold chain

Catastrophe Theory

10.1007/s40747-020-00202-y

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Citations (11)

Knowledge exploration using tables on the web

Proceedings of the VLDB Endowment (2016)

Fernando Chirigati Jialu Liu Flip Korn You Wu Cong Yu

The increasing popularity of mobile device usage has ushered in many features in modern search engines that help users with various information needs. One of those needs is Knowledge Exploration, where related documents are returned in response to a user query, either directly through right-hand side knowledge panels or indirectly through navigable sections underneath individual search results. Existing knowledge exploration features have relied on a combination of Knowledge Bases and query logs. In this paper, we propose Knowledge Carousels of two modalities, namely sideways and downwards, that facilitate exploration of IS-A and HAS-A relationships, respectively, with regard to an entity-seeking query, based on leveraging the large corpus of tables on the Web. This brings many technical challenges, including associating correct carousels with the search entity, selecting the best carousel from the candidates, and finding titles that best describe the carousel. We describe how we address these challenges and also experimentally demonstrate through user studies that our approach produces better result sets than baseline approaches.

Popularity

Baseline (sea)

Modalities

10.14778/3021924.3021935

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Citations (26)

Intelligent Optimization Consider Hour Traffic Flow Traffic Lights Working Condition

Advanced materials research (2013)

Ran Wang Jianbo Xiao Hao Zhang Yu Tan Ming Ni

We design an intelligent optimization system about the response of a traffic signal response, based on a research on traffic at various periods of Wuhan. Fedded traffic flow on the road monitored back to the SCM control system. On the basis of the existing traffic control devices, produce a new intelligent traffic lights according to the traffic flow to change the access time. And optimize the design through modeling and calculation. After simulation, the system significantly reduces the waiting time of the automobile, relieves the burden of traffic at its peak, and eases the pressure on energy and the environment.

Traffic system

10.4028/www.scientific.net/amr.655-657.1410

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Case Analysis

Uncertainty and operations research (2022)

Hao Zhang

Identification

10.1007/978-981-19-0630-5_7

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Evaluation Methods

Management for professionals (2022)

Hao Zhang

10.1007/978-981-19-1614-4_4

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Prediction Methods

Management for professionals (2022)

Hao Zhang

10.1007/978-981-19-1614-4_3

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Synergistic Optimization of Cycle Enhancement and Refrigerant Substitution in Ultra-Low Temperature Cascade Refrigeration Systems

Chaoxu Zhang Hao Zhang Honghua Zhao Gang Yan Gongming Xin

Substitution (logic)

10.2139/ssrn.5100239

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A model combining a Bayesian network with a modified genetic algorithm for green supplier selection

SIMULATION (2019)

Hao Zhang Yan Cui

With the advancement of agricultural modernization, many suppliers of agricultural means of production have delivery delay problems and have created environmental pollution and other issues, which affect the coordination and overall efficiency of the agricultural supply chain. Focusing on the green suppliers, this paper puts forward a series of evaluation indexes and considers the influence of environmental performance for performing uncertainty event reasoning based on a Bayesian network – establishing a complete selection and evaluation system for retail enterprises and downstream customers. In addition, an improved genetic algorithm is combined with the Bayesian approach to quantify the evaluation indicators, which solves the problems of the traditional methods of information occlusion and an unreasonable selection scheme, and provides an intelligent and efficient selection of green suppliers.

10.1177/0037549719826306

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Citations (33)

Serving Heterogeneous Buyers Through Price and Effort Differentiation

SSRN Electronic Journal (2014)

Hao Zhang Sampath Rajagopalan Guangwen Kong

We investigate the performance of two commonly used pricing schemes -- hourly-rate contract and two-part tariff -- in service environments where the buyer's valuation is invisible to the service provider and the provider's effort may not be visible to the buyer. In the private effort environment, we further distinguish between situations where the contract may be based on the outcome or on the effort reported by the provider. We show that under the two-part tariff, when effort is private, the provider can achieve the same profit as under public effort by contracting on reported effort and will be worse off by contracting on outcome. Under the hourly-rate contract, compared with the public effort case, the provider may be better or worse off in keeping effort private and contracting on the reported effort, and the trade-off is affected by the degree of outcome uncertainty in a nontrivial way. We find that a provider's profits under an hourly-rate contract are as good as under a two-part tariff over a sizable parameter regime when contracting on reported effort.

10.2139/ssrn.2386361

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An Intelligent Scheduling System and Hybrid Optimization Algorithm for Ship Locks of the Three Gorges Hub on the Yangzi River

Hao Zhang Jiangcen Ke

The ship lock system of the Three Gorges Hub(TGH) is the most complex navigation system for ships passing dams, which is composed of the largest ship lock and ship lift in the world at present. It has the basic characteristics of multi dam, multi chambers, multi operation mode and batch processing. This paper conducts research on this typical complex lock scheduling problem. On the basis of in-depth analysis of the current situation, operational characteristics, and existing problems of the ship lock scheduling system of TGH, An intelligent scheduling system framework for the ship lock scheduling is proposed; Considering the multi-mode operation safe constraints of the ship lock of TGH, a mixed-integer nonlinear planning(MINLP) model for the intelligent scheduling of the ship lock scheduling system is constructed, and a hybrid intelligent algorithm based on Simulated annealing and heuristic search is designed to achieve the trinity optimization of the lock schedule, the ship entry schedule and the ship placement diagram in the lock chamber. The algorithm validity is verified according to the actual data of the ship lock scheduling system of TGH.

Three gorges

10.2139/ssrn.4522299

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