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Prof. Dr. Yanwei Zhao
Zhejiang University of Technology

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0 Optimization Algorithms
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0 Extentics

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Research article
Published: 22 June 2021 in Complexity
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In practice, the parameters of the vehicle routing problem are uncertain, which is called the uncertain vehicle routing problem (UVRP). Therefore, a data-driven robust optimization approach to solve the heterogeneous UVRP is studied. The uncertain parameters of customer demand are introduced, and the uncertain model is established. The uncertain model is transformed into a robust model with adjustable parameters. At the same time, we use a least-squares data-driven method combined with historical data samples to design a function of robust adjustable parameters related to the maximum demand, demand range, and given vehicle capacity to optimize the robust model. We improve the deep Q-learning-based reinforcement learning algorithm for the fleet size and mix vehicle routing problem to solve the robust model. Through test experiments, it is proved that the robust optimization model can effectively reduce the number of customers affected by the uncertainty, greatly improve customer satisfaction, and effectively reduce total cost and demonstrate that the improved algorithm also exhibits good performance.

ACS Style

Jingling Zhang; Mengfan Yu; Qinbing Feng; Longlong Leng; Yanwei Zhao. Data-Driven Robust Optimization for Solving the Heterogeneous Vehicle Routing Problem with Customer Demand Uncertainty. Complexity 2021, 2021, 1 -19.

AMA Style

Jingling Zhang, Mengfan Yu, Qinbing Feng, Longlong Leng, Yanwei Zhao. Data-Driven Robust Optimization for Solving the Heterogeneous Vehicle Routing Problem with Customer Demand Uncertainty. Complexity. 2021; 2021 ():1-19.

Chicago/Turabian Style

Jingling Zhang; Mengfan Yu; Qinbing Feng; Longlong Leng; Yanwei Zhao. 2021. "Data-Driven Robust Optimization for Solving the Heterogeneous Vehicle Routing Problem with Customer Demand Uncertainty." Complexity 2021, no. : 1-19.

Journal article
Published: 23 May 2021 in Sustainability
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Low-carbon product design involves a redesign process that requires not only structural module modification, but more importantly, generating innovative principles to solve design contradictions. Such contradictions include when current design conditions cannot satisfy design requirements or there are antithetical design goals. On the other hand, configuration tasks in the reconfiguration process are interdependent, which requires a well-scheduled arrangement to reduce feedback information. This study proposes an effective configuration methodology for low-carbon design. Firstly, configuration tasks and configuration parameters are designated through quality characteristics, and the directed network along with the associated values of configuration tasks are transformed into the design structure matrix to construct the information flow diagram. Then, the Extenics-based problem-solving model is presented to address design contradictions: low-carbon incompatibility and antithetical problems are clarified and formulated with a basic-element model; extensible and conjugate analysis tools are used to identify problematic structures and provide feasible measures; the Gantt chart of measures execution based on the information flow diagram is constructed to reduce feedback and generate robust schemes with strategy models. The methodology is applied to the vacuum pump low-carbon design, the results show that it effectively solves contradictions with innovative design schemes, and comparative analysis verifies the performance of Extenics.

ACS Style

Shedong Ren; Fangzhi Gui; Yanwei Zhao; Min Zhan; Wanliang Wang; Jianqiang Zhou. An Extenics-Based Scheduled Configuration Methodology for Low-Carbon Product Design in Consideration of Contradictory Problem Solving. Sustainability 2021, 13, 5859 .

AMA Style

Shedong Ren, Fangzhi Gui, Yanwei Zhao, Min Zhan, Wanliang Wang, Jianqiang Zhou. An Extenics-Based Scheduled Configuration Methodology for Low-Carbon Product Design in Consideration of Contradictory Problem Solving. Sustainability. 2021; 13 (11):5859.

Chicago/Turabian Style

Shedong Ren; Fangzhi Gui; Yanwei Zhao; Min Zhan; Wanliang Wang; Jianqiang Zhou. 2021. "An Extenics-Based Scheduled Configuration Methodology for Low-Carbon Product Design in Consideration of Contradictory Problem Solving." Sustainability 13, no. 11: 5859.

Research article
Published: 01 January 2021 in Systems Science & Control Engineering
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Effective and efficient provision and reuse of knowledge across a knowledge network in the global value chain still faces two challenges, namely the interpretability of model and the efficacy of construction. This research aims to address these challenges by proposing a novel representation model for design knowledge. First, a knowledge representation model based on the integration of the cognitive process theory and the Requirement-Function-Behavior-Structure model (C-RFBS model) is proposed to incorporate key elements from the cognitive process of designers to capture the rationale of deliberation and the context of decision-making, which the knowledge records created become more interpretable. Second, knowledge graph is employed to improve the productivity of knowledge records creation, storage and exploration. On this basis, we describe the creation of knowledge records using the C-RFBS model as well as the computational framework and methods for storing knowledge using knowledge graph. The proposed model and methods are implemented in a knowledge retrieval system on which we have conducted a fork design case study to evaluate and demonstrate the models and methods. As shown in the evaluation, the proposed model can effectively support knowledge elicitation and achieved improved performance in terms of knowledge retrieval through incorporating knowledge graph.

ACS Style

Yufei Zhang; Hongwei Wang; Xiang Zhai; Yanwei Zhao; Jing Guo. A C-RFBS model for the efficient construction and reuse of interpretable design knowledge records across knowledge networks. Systems Science & Control Engineering 2021, 9, 497 -513.

AMA Style

Yufei Zhang, Hongwei Wang, Xiang Zhai, Yanwei Zhao, Jing Guo. A C-RFBS model for the efficient construction and reuse of interpretable design knowledge records across knowledge networks. Systems Science & Control Engineering. 2021; 9 (1):497-513.

Chicago/Turabian Style

Yufei Zhang; Hongwei Wang; Xiang Zhai; Yanwei Zhao; Jing Guo. 2021. "A C-RFBS model for the efficient construction and reuse of interpretable design knowledge records across knowledge networks." Systems Science & Control Engineering 9, no. 1: 497-513.

Journal article
Published: 30 October 2020 in Advances in Mechanical Engineering
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In the initial stage of low-carbon product design, design information is always uncertain and incomplete, as well as the coupling properties between design attributes, thus it requires retrospective coordination for design conflicts resulting from the inclusion of low-carbon requirements. Reusing the prior design knowledge can promote design efficiency, however, the acquisition of similar cases knowledge not only needs to consider the similarity of design problems, but also the adaptability of candidate cases. This study presents an effective similarity determination model to support low-carbon product design, and targets of the proposed model are (1) to reasonably determine design ranges of attribute values for product cases retrieval by representing the uncertain design attributes with fuzzy set theory; (2) to construct an efficient indexing structure to generate the index set of similar cases based on the improved discretized highest similarity method by proposing two effective strategies; and, (3) to establish similarity estimation models for different types of attributes, and it calculates the information content of each attribute to evaluate the adaptability of cases based on the Information Axiom. The applicability of the proposed model is demonstrated through a case study of similar cases retrieval for the vacuum pump low-carbon design.

ACS Style

Shedong Ren; Fangzhi Gui; Yanwei Zhao; Min Zhan; Wanliang Wang. An effective similarity determination model for case-based reasoning in support of low-carbon product design. Advances in Mechanical Engineering 2020, 12, 1 .

AMA Style

Shedong Ren, Fangzhi Gui, Yanwei Zhao, Min Zhan, Wanliang Wang. An effective similarity determination model for case-based reasoning in support of low-carbon product design. Advances in Mechanical Engineering. 2020; 12 (10):1.

Chicago/Turabian Style

Shedong Ren; Fangzhi Gui; Yanwei Zhao; Min Zhan; Wanliang Wang. 2020. "An effective similarity determination model for case-based reasoning in support of low-carbon product design." Advances in Mechanical Engineering 12, no. 10: 1.

Journal article
Published: 17 July 2020 in Journal of Cleaner Production
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Sustainable development is critical to cold chain logistics, including its economic, environmental, and social effects, especially in road transportation. To simultaneously address these issues, we propose a comprehensive cold-chain-based low-carbon location-routing-problem optimization model to minimize the total logistics costs and client and vehicle waiting time. The first objective comprises the fixed costs of depots to open and vehicles to rent, vehicle renting cost, driver salaries, fuel consumption cost, carbon emission costs, and damage costs of cargos that need to be refrigerated or frozen. The second objective consists of the waiting time of clients and vehicles to improve client satisfaction and the efficiency of the cold chain logistics network. In the proposed problem, we developed a strategy for improving the efficiency of the cold chain logistics network by mixing the types of cargos arranged in one vehicle. Aiming at efficiently solving the proposed model, six well-known multi-objective evolutionary algorithms (MOEAs) were used by combining an efficient framework, and first (FI) and best-improvement (BI) search mechanisms were considered. In the experiments, we examined the effectiveness of six MOEAs inserting the proposed framework and search mechanisms, and the result showed that NSGA-II/FI, SPEA2/FI, and NSGA-II/BI were the top three MOEAs. In the extensive experiments, the results showed that the delivery strategy, depot cost, depot capacity, crowding distance, and traveling speed have significant effects on the Pareto front, fuel consumption, carbon emission, vehicle and client waiting times, traveling distance, and traveling time.

ACS Style

Longlong Leng; Chunmiao Zhang; Yanwei Zhao; Wanliang Wang; Jingling Zhang; Gongfa Li. Biobjective low-carbon location-routing problem for cold chain logistics: Formulation and heuristic approaches. Journal of Cleaner Production 2020, 273, 122801 .

AMA Style

Longlong Leng, Chunmiao Zhang, Yanwei Zhao, Wanliang Wang, Jingling Zhang, Gongfa Li. Biobjective low-carbon location-routing problem for cold chain logistics: Formulation and heuristic approaches. Journal of Cleaner Production. 2020; 273 ():122801.

Chicago/Turabian Style

Longlong Leng; Chunmiao Zhang; Yanwei Zhao; Wanliang Wang; Jingling Zhang; Gongfa Li. 2020. "Biobjective low-carbon location-routing problem for cold chain logistics: Formulation and heuristic approaches." Journal of Cleaner Production 273, no. : 122801.

Journal article
Published: 28 February 2020 in Complexity
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This paper presents an evolution-based hyperheuristic (EHH) for addressing the capacitated location-routing problem (CLRP) and one of its more practicable variants, namely, CLRP with simultaneous pickup and delivery (CLRPSPD), which are significant and NP-hard model in the complex logistics system. The proposed approaches manage a pool of low-level heuristics (LLH), implementing a set of simple, cheap, and knowledge-poor operators such as “shift” and “swap” to guide the search. Quantum (QS), ant (AS), and particle-inspired (PS) high-level learning strategies (HLH) are developed as evolutionary selection strategies (ESs) to improve the performance of the hyperheuristic framework. Meanwhile, random permutation (RP), tabu search (TS), and fitness rate rank-based multiarmed bandit (FRR-MAB) are also introduced as baselines for comparisons. We evaluated pairings of nine different selection strategies and four acceptance mechanisms and monitored the performance of the first four outstanding pairs in 36 pairs by solving three sets of benchmark instances from the literature. Experimental results show that the proposed approaches outperform most fine-tuned bespoke state-of-the-art approaches in the literature, and PS-AM and AS-AM perform better when compared to the rest of the pairs in terms of obtaining a good trade-off of solution quality and computing time.

ACS Style

Yanwei Zhao; Longlong Leng; Jingling Zhang; Chunmiao Zhang; Wanliang Wang. Evolutionary Hyperheuristics for Location-Routing Problem with Simultaneous Pickup and Delivery. Complexity 2020, 2020, 1 -24.

AMA Style

Yanwei Zhao, Longlong Leng, Jingling Zhang, Chunmiao Zhang, Wanliang Wang. Evolutionary Hyperheuristics for Location-Routing Problem with Simultaneous Pickup and Delivery. Complexity. 2020; 2020 ():1-24.

Chicago/Turabian Style

Yanwei Zhao; Longlong Leng; Jingling Zhang; Chunmiao Zhang; Wanliang Wang. 2020. "Evolutionary Hyperheuristics for Location-Routing Problem with Simultaneous Pickup and Delivery." Complexity 2020, no. : 1-24.

Research article
Published: 04 January 2020 in Computational Intelligence and Neuroscience
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In response to violent market competition and demand for low-carbon economy, cold chain logistics companies have to pay attention to customer satisfaction and carbon emission for better development. In this paper, a biobjective mathematical model is established for cold chain logistics network in consideration of economic, social, and environmental benefits; in other words, the total cost and distribution period of cold chain logistics are optimized, while the total cost consists of cargo damage cost, refrigeration cost of refrigeration equipment, transportation cost, fuel consumption cost, penalty cost of time window, and operation cost of distribution centres. One multiobjective hyperheuristic optimization framework is proposed to address this multiobjective problem. In the framework, four selection strategies and four acceptance criteria for solution set are proposed to improve the performance of the multiobjective hyperheuristic framework. As known from a comparative study, the proposed algorithm had better overall performance than NSGA-II. Furthermore, instances of cold chain logistics are modelled and solved, and the resulting Pareto solution set offers diverse options for a decision maker to select an appropriate cold chain logistics distribution network in the interest of the logistics company.

ACS Style

Zheng Wang; Longlong Leng; Shun Wang; Gongfa Li; Yanwei Zhao. A Hyperheuristic Approach for Location-Routing Problem of Cold Chain Logistics considering Fuel Consumption. Computational Intelligence and Neuroscience 2020, 2020, 1 -17.

AMA Style

Zheng Wang, Longlong Leng, Shun Wang, Gongfa Li, Yanwei Zhao. A Hyperheuristic Approach for Location-Routing Problem of Cold Chain Logistics considering Fuel Consumption. Computational Intelligence and Neuroscience. 2020; 2020 ():1-17.

Chicago/Turabian Style

Zheng Wang; Longlong Leng; Shun Wang; Gongfa Li; Yanwei Zhao. 2020. "A Hyperheuristic Approach for Location-Routing Problem of Cold Chain Logistics considering Fuel Consumption." Computational Intelligence and Neuroscience 2020, no. : 1-17.

Journal article
Published: 31 December 2019 in Procedia Computer Science
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Adaptive modification design occupies a large proportion in modern product design, which is essentially a coordination process. Due to the conduction phenomenon, it often leads to the problem that the solution space is too large or even unsolvable. Aiming at the problems caused by the conduction phenomenon, an optimal coordination path selecting method for conduction transformation based Floyd algorithm is proposed. The product conduction transformation coordination process is considered as a path by combining the product graph theory model. The selection criteria of the start and end nodes is given. The functional contribution index, modified adaptation index and conduction impact index are described in detail. The calculation of the comprehensive coordination factor composed of them is given and used as the evaluation index of the conduction transformation coordination path. Floyd algorithm is adopted to coordination path optimization selection model, case study and system development, in order to verify the method proposed in this paper.

ACS Style

Zhao Yanwei; Wu Gengyu; Gui Fangzhi; Xu Chen; Ren Shedong; Xie Zhiwei. Optimal Coordination Path Selecting Method for Conduction Transformation Based on Floyd Algorithm. Procedia Computer Science 2019, 162, 227 -234.

AMA Style

Zhao Yanwei, Wu Gengyu, Gui Fangzhi, Xu Chen, Ren Shedong, Xie Zhiwei. Optimal Coordination Path Selecting Method for Conduction Transformation Based on Floyd Algorithm. Procedia Computer Science. 2019; 162 ():227-234.

Chicago/Turabian Style

Zhao Yanwei; Wu Gengyu; Gui Fangzhi; Xu Chen; Ren Shedong; Xie Zhiwei. 2019. "Optimal Coordination Path Selecting Method for Conduction Transformation Based on Floyd Algorithm." Procedia Computer Science 162, no. : 227-234.

Journal article
Published: 27 June 2019 in Algorithms
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This paper proposes a low-carbon location routing problem (LCLRP) model with simultaneous delivery and pick up, time windows, and heterogeneous fleets to reduce the logistics cost and carbon emissions and improve customer satisfaction. The correctness of the model is tested by a simple example of CPLEX (optimization software for mathematical programming). To solve this problem, a hyper-heuristic algorithm is designed based on a secondary exponential smoothing strategy and adaptive receiving mechanism. The algorithm can achieve fast convergence and is highly robust. This case study analyzes the impact of depot distribution and cost, heterogeneous fleets (HF), and customer distribution and time windows on logistics costs, carbon emissions, and customer satisfaction. The experimental results show that the proposed model can reduce logistics costs by 1.72%, carbon emissions by 11.23%, and vehicle travel distance by 9.69%, and show that the proposed model has guiding significance for reducing logistics costs.

ACS Style

Chunmiao Zhang; Yanwei Zhao; Longlong Leng. A Hyper Heuristic Algorithm to Solve the Low-Carbon Location Routing Problem. Algorithms 2019, 12, 129 .

AMA Style

Chunmiao Zhang, Yanwei Zhao, Longlong Leng. A Hyper Heuristic Algorithm to Solve the Low-Carbon Location Routing Problem. Algorithms. 2019; 12 (7):129.

Chicago/Turabian Style

Chunmiao Zhang; Yanwei Zhao; Longlong Leng. 2019. "A Hyper Heuristic Algorithm to Solve the Low-Carbon Location Routing Problem." Algorithms 12, no. 7: 129.

Review
Published: 11 June 2019 in International Journal of Environmental Research and Public Health
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In this paper, we consider a variant of the location-routing problem (LRP), namely the the multiobjective regional low-carbon LRP (MORLCLRP). The MORLCLRP seeks to minimize service duration, client waiting time, and total costs, which includes carbon emission costs and total depot, vehicle, and travelling costs with respect to fuel consumption, and considers three practical constraints: simultaneous pickup and delivery, heterogeneous fleet, and hard time windows. We formulated a multiobjective mixed integer programming formulations for the problem under study. Due to the complexity of the proposed problem, a general framework, named the multiobjective hyper-heuristic approach (MOHH), was applied for obtaining Pareto-optimal solutions. Aiming at improving the performance of the proposed approach, four selection strategies and three acceptance criteria were developed as the high-level heuristic (HLH), and three multiobjective evolutionary algorithms (MOEAs) were designed as the low-level heuristics (LLHs). The performance of the proposed approach was tested for a set of different instances and comparative analyses were also conducted against eight domain-tailored MOEAs. The results showed that the proposed algorithm produced a high-quality Pareto set for most instances. Additionally, extensive analyses were also carried out to empirically assess the effects of domain-specific parameters (i.e., fleet composition, client and depot distribution, and zones area) on key performance indicators (i.e., hypervolume, inverted generated distance, and ratio of nondominated individuals). Several management insights are provided by analyzing the Pareto solutions.

ACS Style

Longlong Leng; Yanwei Zhao; Jingling Zhang; Chunmiao Zhang. An Effective Approach for the Multiobjective Regional Low-Carbon Location-Routing Problem. International Journal of Environmental Research and Public Health 2019, 16, 2064 .

AMA Style

Longlong Leng, Yanwei Zhao, Jingling Zhang, Chunmiao Zhang. An Effective Approach for the Multiobjective Regional Low-Carbon Location-Routing Problem. International Journal of Environmental Research and Public Health. 2019; 16 (11):2064.

Chicago/Turabian Style

Longlong Leng; Yanwei Zhao; Jingling Zhang; Chunmiao Zhang. 2019. "An Effective Approach for the Multiobjective Regional Low-Carbon Location-Routing Problem." International Journal of Environmental Research and Public Health 16, no. 11: 2064.

Original paper
Published: 19 April 2019 in Operational Research
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This paper addresses a new variant of location-routing problem (LRP), namely the LRP with simultaneous pickup and delivery (LRPSPD). A hyper-heuristic approach based on iterated local search (ILS-HH) is introduced to automatically optimize the LRPSPD. On basis of the novel proposed framework of hyper-heuristic, four selections mechanisms and five activation strategies are developed to examine the performance of the proposed framework. Three types computational evaluations were carried out and several conclusions can be drawn: (1) the proposed framework performs better than the classical one with performing several heavy-duty combinations of strategies in terms of solution quality and computing time; (2) different activated strategies have slight (not significant) effect on exploiting best solutions; (3) FRR-MAB-TS (fitness ratio rank based on multi-armed bandit with tabu search) works best among all selection methods. Moreover, the proposed approach could provide competitive, even better results compared to fine-tuned bespoke state-of-the-art approaches.

ACS Style

Yanwei Zhao; Longlong Leng; Chunmiao Zhang. A novel framework of hyper-heuristic approach and its application in location-routing problem with simultaneous pickup and delivery. Operational Research 2019, 21, 1299 -1332.

AMA Style

Yanwei Zhao, Longlong Leng, Chunmiao Zhang. A novel framework of hyper-heuristic approach and its application in location-routing problem with simultaneous pickup and delivery. Operational Research. 2019; 21 (2):1299-1332.

Chicago/Turabian Style

Yanwei Zhao; Longlong Leng; Chunmiao Zhang. 2019. "A novel framework of hyper-heuristic approach and its application in location-routing problem with simultaneous pickup and delivery." Operational Research 21, no. 2: 1299-1332.

Journal article
Published: 15 March 2019 in Sustainability
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With the aim of reducing cost, carbon emissions, and service periods and improving clients’ satisfaction with the logistics network, this paper investigates the optimization of a variant of the location-routing problem (LRP), namely the regional low-carbon LRP (RLCLRP), considering simultaneous pickup and delivery, hard time windows, and a heterogeneous fleet. In order to solve this problem, we construct a biobjective model for the RLCLRP with minimum total cost consisting of depot, vehicle rental, fuel consumption, carbon emission costs, and vehicle waiting time. This paper further proposes a novel hyper-heuristic (HH) method to tackle the biobjective model. The presented method applies a quantum-based approach as a high-level selection strategy and the great deluge, late acceptance, and environmental selection as the acceptance criteria. We examine the superior efficiency of the proposed approach and model by conducting numerical experiments using different instances. Additionally, several managerial insights are provided for logistics enterprises to plan and design a distribution network by extensively analyzing the effects of various domain parameters such as depot cost and location, client distribution, and fleet composition on key performance indicators including fuel consumption, carbon emissions, logistics costs, and travel distance and time.

ACS Style

Longlong Leng; Yanwei Zhao; Zheng Wang; Jingling Zhang; Wanliang Wang; Chunmiao Zhang. A Novel Hyper-Heuristic for the Biobjective Regional Low-Carbon Location-Routing Problem with Multiple Constraints. Sustainability 2019, 11, 1596 .

AMA Style

Longlong Leng, Yanwei Zhao, Zheng Wang, Jingling Zhang, Wanliang Wang, Chunmiao Zhang. A Novel Hyper-Heuristic for the Biobjective Regional Low-Carbon Location-Routing Problem with Multiple Constraints. Sustainability. 2019; 11 (6):1596.

Chicago/Turabian Style

Longlong Leng; Yanwei Zhao; Zheng Wang; Jingling Zhang; Wanliang Wang; Chunmiao Zhang. 2019. "A Novel Hyper-Heuristic for the Biobjective Regional Low-Carbon Location-Routing Problem with Multiple Constraints." Sustainability 11, no. 6: 1596.

Research article
Published: 31 December 2018 in Mathematical Problems in Engineering
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In this paper, we consider a variant of the location-routing problem (LRP), namely, the regional low-carbon LRP with reality constraint conditions (RLCLRPRCC), which is characterized by clients and depots that located in nested zones with different speed limits. The RLCLRPRCC aims at reducing the logistics total cost and carbon emission and improving clients satisfactory by replacing the travel distance/time with fuel consumption and carbon emission costs under considering heterogeneous fleet, simultaneous pickup and delivery, and hard time windows. Aiming at this project, a novel approach is proposed: hyperheuristic (HH), which manipulates the space, consisted of a fixed pool of simple operators such as “shift” and “swap” for directly modifying the space of solutions. In proposed framework of HH, a kind of shared mechanism-based self-adaptive selection strategy and self-adaptive acceptance criterion are developed to improve its performance, accelerate convergence, and improve algorithm accuracy. The results show that the proposed HH effectively solves LRP/LRPSPD/RLCLRPRCC within reasonable computing time and the proposed mathematical model can reduce 2.6% logistics total cost, 27.6% carbon emission/fuel consumption, and 13.6% travel distance. Additionally, several managerial insights are presented for logistics enterprises to plan and design the distribution network by extensively analyzing the effects of various problem parameters such as depot cost and location, clients’ distribution, heterogeneous vehicles, and time windows allowance, on the key performance indicators, including fuel consumption, carbon emissions, operational costs, travel distance, and time.

ACS Style

Longlong Leng; Yanwei Zhao; Zheng Wang; Hongwei Wang; Jingling Zhang. Shared Mechanism-Based Self-Adaptive Hyperheuristic for Regional Low-Carbon Location-Routing Problem with Time Windows. Mathematical Problems in Engineering 2018, 2018, 1 -21.

AMA Style

Longlong Leng, Yanwei Zhao, Zheng Wang, Hongwei Wang, Jingling Zhang. Shared Mechanism-Based Self-Adaptive Hyperheuristic for Regional Low-Carbon Location-Routing Problem with Time Windows. Mathematical Problems in Engineering. 2018; 2018 ():1-21.

Chicago/Turabian Style

Longlong Leng; Yanwei Zhao; Zheng Wang; Hongwei Wang; Jingling Zhang. 2018. "Shared Mechanism-Based Self-Adaptive Hyperheuristic for Regional Low-Carbon Location-Routing Problem with Time Windows." Mathematical Problems in Engineering 2018, no. : 1-21.

Articles
Published: 09 September 2018 in Journal of Industrial and Production Engineering
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Low-carbon design is a process of contradiction coordination, which involves multiple factors and necessitates abundant design knowledge and rules. We proposed the method that integrated the case-based reasoning (CBR) method and extension theory to achieve low-carbon design for products. In this paper, our work is on analyzing the design constraints, and constructing the parameters modeling for representation of product cases. Firstly, we discussed the correlation among factors, and mapped the requirement onto the detailed physical structure. Secondly, we integrated the improved activity-based costing and carbon method and the indirect calculation method to estimate the carbon footprint and cost of each phase in product life cycle. We adopted the basic-element model to represent the product cases and used the dependent function to discriminate the extent of compliance with the requirement. In final, the applicability of proposed method was demonstrated through a case study of a screw air compressor.

ACS Style

Shedong Ren; Yan-Wei Zhao; Jiong-Jiong Lou; Huan-Huan Hong; Hong-Wei Wang. Multifactor correlation analysis and modeling for product low-carbon design. Journal of Industrial and Production Engineering 2018, 35, 432 -443.

AMA Style

Shedong Ren, Yan-Wei Zhao, Jiong-Jiong Lou, Huan-Huan Hong, Hong-Wei Wang. Multifactor correlation analysis and modeling for product low-carbon design. Journal of Industrial and Production Engineering. 2018; 35 (7):432-443.

Chicago/Turabian Style

Shedong Ren; Yan-Wei Zhao; Jiong-Jiong Lou; Huan-Huan Hong; Hong-Wei Wang. 2018. "Multifactor correlation analysis and modeling for product low-carbon design." Journal of Industrial and Production Engineering 35, no. 7: 432-443.

Conference paper
Published: 26 May 2018 in Transactions on Petri Nets and Other Models of Concurrency XV
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In this paper, the carbon emission factor is taken into account in the Location Routing Problem (LRP), and a multi-objective LRP model combining carbon emission with total cost is established. Due to the complexity of the proposed problem, a generality-oriented and emerging Multi-Objective Hyper Heuristic algorithm (MOHH) is proposed. In the framework of MOHH, the LRP related operates are constructed as the low level heuristics, and the different high level strategies are designed. Compared with the NSGA-II algorithm, the MOHH can better solve the multi-objective problem of LRP, and can quickly find the better solution, and achieve higher search efficiency and stability of the algorithm.

ACS Style

Zhenyu Qian; Yanwei Zhao; Shun Wang; Longlong Leng; Wanliang Wang. A Hyper Heuristic Algorithm for Low Carbon Location Routing Problem. Transactions on Petri Nets and Other Models of Concurrency XV 2018, 173 -182.

AMA Style

Zhenyu Qian, Yanwei Zhao, Shun Wang, Longlong Leng, Wanliang Wang. A Hyper Heuristic Algorithm for Low Carbon Location Routing Problem. Transactions on Petri Nets and Other Models of Concurrency XV. 2018; ():173-182.

Chicago/Turabian Style

Zhenyu Qian; Yanwei Zhao; Shun Wang; Longlong Leng; Wanliang Wang. 2018. "A Hyper Heuristic Algorithm for Low Carbon Location Routing Problem." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 173-182.

Research article
Published: 07 September 2017 in Advances in Mechanical Engineering
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Low-carbon performance as well as the quality and cost of a new product are normally emphasized in the early phase of low-carbon design for products. Although the TRIZ method and Extenics theory can be applied separately to solve contradiction problems in design field, these two methods have their weaknesses in applications. The purpose of this study is to provide a novel model for accelerating the preliminary low-carbon design by integrating the TRIZ and Extenics methods. Analysis tools and knowledge base tools of TRIZ are adopted to generate generic strategies; basic-element theory and dependent function of Extenics are used to qualitatively and quantitatively describe the conflict problem in a formalized model, and detailed transformation operations are employed to achieve the feasible design solutions. Innovative design schemes for two kinds of conflict problems of the screw air compressor demonstrate the effectiveness of the proposed method.

ACS Style

Shedong Ren; Fangzhi Gui; Yanwei Zhao; Zhiwei Xie; Huanhuan Hong; Hongwei Wang. Accelerating preliminary low-carbon design for products by integrating TRIZ and Extenics methods. Advances in Mechanical Engineering 2017, 9, 1 .

AMA Style

Shedong Ren, Fangzhi Gui, Yanwei Zhao, Zhiwei Xie, Huanhuan Hong, Hongwei Wang. Accelerating preliminary low-carbon design for products by integrating TRIZ and Extenics methods. Advances in Mechanical Engineering. 2017; 9 (9):1.

Chicago/Turabian Style

Shedong Ren; Fangzhi Gui; Yanwei Zhao; Zhiwei Xie; Huanhuan Hong; Hongwei Wang. 2017. "Accelerating preliminary low-carbon design for products by integrating TRIZ and Extenics methods." Advances in Mechanical Engineering 9, no. 9: 1.

Journal article
Published: 01 August 2017 in Advanced Engineering Informatics
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ACS Style

Gongzhuang Peng; Hongwei Wang; Heming Zhang; Yanwei Zhao; Aylmer L. Johnson. A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model. Advanced Engineering Informatics 2017, 33, 314 -329.

AMA Style

Gongzhuang Peng, Hongwei Wang, Heming Zhang, Yanwei Zhao, Aylmer L. Johnson. A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model. Advanced Engineering Informatics. 2017; 33 ():314-329.

Chicago/Turabian Style

Gongzhuang Peng; Hongwei Wang; Heming Zhang; Yanwei Zhao; Aylmer L. Johnson. 2017. "A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model." Advanced Engineering Informatics 33, no. : 314-329.

Original article
Published: 13 March 2017 in Engineering with Computers
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Porous Metal Fiber Sintered Sheet (PMFSS) shows a significant potential in the development of high-performance and compact fuel cell. To achieve optimized PMFSS structural design, it is essential to evaluate permeability, i.e., the correlation between fiber structures and the transport property. To perform pre-scale simulation, a method is proposed in this research to construct 3D virtual PMFSS models using morphological features extracted from X-ray images. A length-weighted orientation method is used to evaluate the anisotropy of fiber arrangement in the through-thickness direction, and a numerical model is proposed to evaluate the flow property through the gaps between fibers. Simulation results confirm that the Forchheimer law dominates flow behavior as flow rate rises. Permeability of both the transverse and the parallel flow directions are investigated and the simulation data obtained are compared with results obtained from various sources such as the analytical equations in the literature, numerical calculations based on the Lattice Boltzmann Method (LBM) as well as material testing experiments. It is found in the comparison that the permeability results obtained in this work are consistent with the values predicted by the analytical models of layered fiber arrangement proposed by Spielman and Goren. The proposed method thus provides an efficient way of PMFSS design optimization using virtual models.

ACS Style

Xiang Huang; Yanwei Zhao; Hongwei Wang; Hao Qin; Donghui Wen; Wei Zhou. Investigation of transport property of fibrous media: 3D virtual modeling and permeability calculation. Engineering with Computers 2017, 33, 997 -1005.

AMA Style

Xiang Huang, Yanwei Zhao, Hongwei Wang, Hao Qin, Donghui Wen, Wei Zhou. Investigation of transport property of fibrous media: 3D virtual modeling and permeability calculation. Engineering with Computers. 2017; 33 (4):997-1005.

Chicago/Turabian Style

Xiang Huang; Yanwei Zhao; Hongwei Wang; Hao Qin; Donghui Wen; Wei Zhou. 2017. "Investigation of transport property of fibrous media: 3D virtual modeling and permeability calculation." Engineering with Computers 33, no. 4: 997-1005.

Research article
Published: 01 May 2016 in Advances in Mechanical Engineering
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In product low-carbon design, intelligent decision systems integrated with certain classification algorithms recommend the existing design cases to designers. However, these systems mostly dependent on prior experience, and product designers not only expect to get a satisfactory case from an intelligent system but also hope to achieve assistance in modifying unsatisfactory cases. In this article, we proposed a new categorization method composed of static and dynamic classification based on extension theory. This classification method can be integrated into case-based reasoning system to get accurate classification results and to inform designers of detailed information about unsatisfactory cases. First, we establish the static classification model for cases by dependent function in a hierarchical structure. Then for dynamic classification, we make transformation for cases based on case model, attributes, attribute values, and dependent function, thus cases can take qualitative changes. Finally, the applicability of proposed method is demonstrated through a case study of screw air compressor cases.

ACS Style

Yanwei Zhao; Shedong Ren; Huanhuan Hong; Hongwei Wang. Extension classification method for low-carbon product cases. Advances in Mechanical Engineering 2016, 8, 1 .

AMA Style

Yanwei Zhao, Shedong Ren, Huanhuan Hong, Hongwei Wang. Extension classification method for low-carbon product cases. Advances in Mechanical Engineering. 2016; 8 (5):1.

Chicago/Turabian Style

Yanwei Zhao; Shedong Ren; Huanhuan Hong; Hongwei Wang. 2016. "Extension classification method for low-carbon product cases." Advances in Mechanical Engineering 8, no. 5: 1.

Conference paper
Published: 02 April 2016 in Blockchain Technology and Innovations in Business Processes
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ACS Style

Zhao Yanwei; Lou Jiongjiong; Ren Shedong; He Lu; Gui Fangzhi. A Conflict Analysis and Resolution Method Based on Integrating the Extension and TRIZ Methods. Blockchain Technology and Innovations in Business Processes 2016, 15 -25.

AMA Style

Zhao Yanwei, Lou Jiongjiong, Ren Shedong, He Lu, Gui Fangzhi. A Conflict Analysis and Resolution Method Based on Integrating the Extension and TRIZ Methods. Blockchain Technology and Innovations in Business Processes. 2016; ():15-25.

Chicago/Turabian Style

Zhao Yanwei; Lou Jiongjiong; Ren Shedong; He Lu; Gui Fangzhi. 2016. "A Conflict Analysis and Resolution Method Based on Integrating the Extension and TRIZ Methods." Blockchain Technology and Innovations in Business Processes , no. : 15-25.