Modeling and Planning for Dual-Objective Selective Disassembly Using and/or Graph and Discrete Artificial Bee Colony

Tian, Guangdong; Ren, Yaping; Feng, Ying; Zhou, MengChu; Zhang, Honghao; Tan, Jianrong

doi:10.1109/tii.2018.2884845

Cited by 220 publications

(77 citation statements)

References 49 publications

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“…erefore, it can be conclude that the hybrid approach is a reliable and effective tool for the issue of lightweight material selection. Our studies will concentrate on the following two aspects in the future: (1) taking other critical influences into consideration, for instance, societal or economic factors, and creating a more comprehensive hierarchical structure for the problem of material selection; (2) due to the existence of the uncertain and fuzzy feature of information obtained from experts in the decision matrix, uncertain theory might need to be applied in our work to fill the gap and complete our research [33][34][35].…”

Section: Discussionmentioning

confidence: 99%

Material Selection of Green Design Processes for Car Body via considering Environment Property

Han

et al. 2020

Mathematical Problems in Engineering

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Facing serious environmental degradation and its resulting of climate warming, how to conserve energy and reduce emissions becomes a serious issue for government supervisors and modern vehicle enterprises. Reducing the mass of a vehicle is one of the most effective ways to reduce emissions and improve fuel utilization, essential to persist the low-carbon and sustainable-development bases in industrial production processes. When it comes to the selection of lightweight material for a car body in the processes of vehicle production, it is essential to comprehensively evaluate multiple relevant attributes in order to select the optimal material from several alternatives. us, it can be seen as a multicriterion decision-making (MCDM) problem. However, it is difficult to consider both the uncertainty of the expert's preference and the imprecision of the attribute estimate. Considering this, this paper uses the method integrating grey relational analysis (GRA) with analytic hierarchy process (AHP) to solve the problem of lightweight material selection for a car body. e AHP method is used to determine the weight of each attribute, and the GRA method is to select the optimal material among several alternatives. Finally, a case study is applied to verify the practicability of the proposed approach. e result shows that the proposed multicriterion decision method provides a precise and objective foundation for making decisions about the material selection issue.

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Section: Discussionmentioning

confidence: 99%

Material Selection of Green Design Processes for Car Body via considering Environment Property

Han

et al. 2020

Mathematical Problems in Engineering

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“…We will compare them by conducting more experiments and refine the proposed method [85][86][87]. As such, hybridizing the proposed MCDM method with recent advances in heuristics and metaheuristics is another good continuation of this work [88][89][90][91][92][93]. Comprehensive evaluation vector.…”

Section: Discussionmentioning

confidence: 99%

A Novel Hybrid Fuzzy Grey TOPSIS Method: Supplier Evaluation of a Collaborative Manufacturing Enterprise

et al. 2019

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Recently, there is of significant interest in developing multi-criteria decision making (MCDM) techniques with large applications for real-life problems. Making a reasonable and accurate decision on MCDM problems can help develop enterprises better. The existing MCDM methods, such as the grey comprehensive evaluation (GCE) method and the technique for order preference by similarity to an ideal solution (TOPSIS), have their one-sidedness and shortcomings. They neither consider the difference of shape and the distance of the evaluation sequence of alternatives simultaneously nor deal with the interaction that universally exists among criteria. Furthermore, some enterprises cannot consult the best professional expert, which leads to inappropriate decisions. These reasons motivate us to contribute a novel hybrid MCDM technique called the grey fuzzy TOPSIS (FGT). It applies fuzzy measures and fuzzy integral to express and integrate the interaction among criteria, respectively. Fuzzy numbers are employed to help the experts to make more reasonable and accurate evaluations. The GCE method and the TOPSIS are combined to improve their one-sidedness. A case study of supplier evaluation of a collaborative manufacturing enterprise verifies the effectiveness of the hybrid method. The evaluation result of different methods shows that the proposed approach overcomes the shortcomings of GCE and TOPSIS. The proposed hybrid decision-making model provides a more accurate and reliable method for evaluating the fuzzy system MCDM problems with interaction criteria.

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“…Whenever a metaheuristic procedure is used, coding and decoding the solution of mathematical problem is required [18][19][20][21]. Due to page limitation, the encoding scheme is refferd to the literature [12][13][14].…”

Section: Red Deer Algorithm (Rda)mentioning

confidence: 99%

“…Constraints (17) and (18) compute the completion time of each bay. Because the service to any vessel ends when the loading/unloading of all bays of that vessel is completed, the constraint (19) calculates the completion time of each ship. With obtaining the completion time of the vessel and calculating the time difference with the due date constraint (20) determines the tardiness or earliness of each ship.…”

mentioning

confidence: 99%

Addressing a Coordinated Quay Crane Scheduling and Assignment Problem by Red Deer Algorithm

Fazli

Fathollahi-Fard

Tian

2019

IJE

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A B S T R A C TNowadays, there is much attention for planning of container terminals in the global trade centers. The high cost of quay cranes motivates both scholars and industrial practitioners especially in the last decade to develop novel optimization models to address this dilemma. This study proposes a coordinated optimization model to cover both Quay Crane Scheduling Problem (QCSP) and Quay Crane Assignment Problem (QCAP) as among the first attempts in this area. Another main contribution of this paper is to apply a recent nature-inspired algorithm called Red Deer Algorithm (RDA). The RDA revealed its performance for a variety of combinatorial optimization problems in different real-world applications. This is the first attempt in the literature to employ this recent metaheuristic to solve the proposed Coordinated Quay Crane Scheduling and Assignment Problem (CQCSAP). Finally, an extensive comparison discussion is considered to reveal the main benefits of the proposed optimization model and solution algorithm.

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Modeling and Planning for Dual-Objective Selective Disassembly Using and/or Graph and Discrete Artificial Bee Colony

Cited by 220 publications

References 49 publications

Material Selection of Green Design Processes for Car Body via considering Environment Property

Material Selection of Green Design Processes for Car Body via considering Environment Property

A Novel Hybrid Fuzzy Grey TOPSIS Method: Supplier Evaluation of a Collaborative Manufacturing Enterprise

Addressing a Coordinated Quay Crane Scheduling and Assignment Problem by Red Deer Algorithm

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