- Auction Theory and Applications
- Supply Chain and Inventory Management
- Blockchain Technology Applications and Security
- Multi-Criteria Decision Making
- Consumer Market Behavior and Pricing
- Public Procurement and Policy
- Forecasting Techniques and Applications
- Economic and Environmental Valuation
- Transportation Planning and Optimization
- Probabilistic and Robust Engineering Design
- Mobile Crowdsensing and Crowdsourcing
- Game Theory and Applications
- Complex Network Analysis Techniques
- Sustainable Building Design and Assessment
- Music and Audio Processing
- Data Stream Mining Techniques
- Opinion Dynamics and Social Influence
- Cyclone Separators and Fluid Dynamics
- Optimization and Mathematical Programming
- Resource-Constrained Project Scheduling
- Transport Systems and Technology
- Multi-Agent Systems and Negotiation
- Collaboration in agile enterprises
- Cloud Computing and Resource Management
- Scheduling and Optimization Algorithms
Northeastern University
2011-2024
State Key Laboratory of Synthetical Automation for Process Industries
2014-2020
Sichuan University
2020
Northeastern University
2014
China Three Gorges University
2013
Since the schedule is often not optimal and unable to meet promised completion dates in critical chain project management, this paper, we address an approach of generating schedule. The float time non-critical used as primary concern setting feeding buffers, thus procedure plan remarkably simplified. A scheduling problem considering both resource constraints duration uncertainties formulated, followed by a differential evolution algorithm with new mutation strategy that combines two single...
In this paper, a resource allocation model is constructed, based on the Double Multi-Attribute Auction (DMAA) mechanism. Firstly, multiple attributes are taken into account to form Quality Index (QI), which used comprehensively evaluate consumers' and providers' performance in transactions. Secondly, Support Vector Machine (SVM) algorithm adopted predict price. Finally, Mean-Variance Optimization (MVO) solved obtain optimized scheme. Simulation results show that proposed can improve...
Cost and schedule management are important issues in an information technology outsourcing project. Generally, a client does not know much about market quotation ability of vendors. Thus, efficient approach should select suitable vendor for the project with balanced cost schedule. In this study, improved standard English auction (ISEA) is designed, which multi-attribute situation considered, utility theory (MAUT) introduced. A new protocol increment function proposed, respectively. Finally,...
In the context of sustainable development, building energy conservation has become development trend construction industry. The selection energy-saving program, as a multi-criteria decision-making (MCDM) problem, direct influence on actual effect. this paper, an integrated MCDM method combining extended best worst (BWM) and Weighted Aggregated Sum Product Assessment (WASPAS) is proposed to solve program problem under linguistic Pythagorean fuzzy environment. Linguistic sets (LPFSs) are used...
This paper considers the problem of one buyer procuring multi-items from multiple potential suppliers in electronic reverse auction, where each supplier can bid on combinations items. From perspective buyer, by considering multi-attributes item, a winner determination (WDP) single-unit combinatorial auctions was described and bi-objective programming model established. According to characteristics model, an equivalent single-objective obtained. As is NP-hard, improved ant colony (IAC)...
As a supply chain solution integrator, fourth party logistics (4PL) has become an important focus for improving the operational efficiency of industry in recent days. This paper addresses mechanism design problem 4PL selecting third (3PL) provider who involves loss-averse behavior to form longer-term strategic partnership multi-attribute reverse auctions. Due fluctuating costs energy or labor and unintentional delivery failures like traffic jam technology malfunctions, we consider two...
This paper studies a multi-attribute reverse auction in which one manufacturer/buyer purchases multi-unit identical components/goods from group of capacity-constrained suppliers considering the procurement cost and delivery time. The unknown bidding preference discrete structure are particularly investigated. Constructing bi-level distributed decision-making model, novel iterative mechanism embedding negotiation is proposed to improve efficiency under framework. Specifically, upper level,...
Reverse auction is an effective tool for a 4PL to purchase transportation services. This paper investigated new services procurement problem 4PL, which involves three features: the 4PL’s loss-averse behavior, price and non-price attributes, multiple requests. An efficient multi-attribute multi-item reverse mechanism considering ex-ante ex-post satisfaction (EES-MMRA) proposed 4PL. In EES-MMRA, integrating allocation rule with satisfaction, 0-1 programming model constructed determine winning...
In this paper, we consider a risk analysis model for Virtual Enterprise (VE) by exploring the state of art principal-agent theory. particular, deal with problem allocating cost between two parties in VE, namely, owner and partner(s). We first case single partner VE symmetric information or asymmetric then multiple partners. also build optimal contract allocation based on theory analyze it through specific example. At last principal potentially many partners common agency.
With the rapid development of modern logistics industry, fourth-party develops as an integrator supply chain services for customers. At same time, information sharing conflict arises among logistics, third-party customers and local government, because may still be hesitant to share with logistics. The methodology graph model resolution is used systematically analyze conflict. Decision makers options decision involved in are provided this paper. And preferences over states analyzed then...
In multi-label learning, one of the major challenges is that data are associated with label noise including random noisy labels (e.g., encoding errors) and created by annotators missing, extra, or error label), where promoted different structures gaussian, sparse subjective). Existing methods tailored to handle specific structure. However, they lack consideration fact always dirty labels, simutaneously subjective, in real applications. this paper, we formalize learning as a new problem,...
This paper presents a WDP with supply curve to help the buyer determine winners and assign optimum quantities them while multiattributes of capacity-constrained suppliers are considered in reverse auction setting. A key challenge faced by is that unqualified may cause dire losses NP-hard. combines qualification process for first time relieve potential from buyer's aspect. Based on this idea, two stage mechanism proposed. In stage, Fuzzy Technique Order Preference Similarity Ideal Solution...
This paper presents a framework of purchasing single item online from multiple suppliers with new sourcing tool called electronic reverse auctions (ERAs). Because the ability to deal both positive and negative attributes, benefits, opportunities, costs, risks (BOCR) method is integrated fuzzy analytic hierarchy process (FAHP) evaluate suppliers' performance in framework. After pre-qualified evaluation suppliers, nonlinear integer programming (NIP) formulated solve winner determination...
A good mechanism of profit distribution in supply chain can effectively motivate every member to make efforts gain profits.Based on the background joint-venture project, this paper puts forward a model based maximum entropy method, solving initial with taking full consideration risk, efficiency,level efforts,technological innovation and resources which affects profits, improving properly AHP(Analytic Hierarchy Process) method,this gets solution final .This idea fully reflects fairness...
In this paper, we study the mechanism design problem of combinatorial reverse auction for 4PL transportation service procurement (TSP) considering price and multiple non-price attributes. order to achieve efficient winner determination request allocation, develop a 0-1 programing model minimize social cost, where cost includes real 3PLs costs incurred by A multi-attribute VCG (MA-VCG) is proposed, which satisfies efficiency, incentive compatibility, individual rationality, budget balance....