A Product Conceptual Design Method Based on Evolutionary Game

Huo, Yunliang; Hu, Xiao-Bing; Chen, Boyang; Fan, Ru-Gu

doi:10.3390/machines7010018

Cited by 13 publications

(8 citation statements)

References 15 publications

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“…The evolutionary game algorithm (EGA) is a new intelligent computing algorithm based on economic game theory and dynamic evolutionary computing, which takes utility maximization as the optimization goal, combines the strategies of game players, considers local and global performance, and searches the entire solution space. Compared with the selection process of stochastic genetic algorithm, EGA converges to the global optimal solution with probability 1 and is more deterministic in evolution, and the basic theory has been demonstrated in our previous works [28,29]. Consider that the feature type and number of different parts vary greatly, classical EGA with xed termination conditions is di cult to adapt to this issue.…”

Section: Solution Methods Based On Improved Evolutionary Gamementioning

confidence: 99%

A comprehensive cutting tool adaptation method of multi-feature part based on evolutionary game

Huo,

Zhou,

Liu

et al. 2023

Preprint

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The adaptation of cutting tools is the key link of machining, although a lot of work has been done to achieve tool selection for single features, relatively little research on tool scheme adaptation for multi-feature parts as a whole. In order to take into account the factors of matching, efficiency, cost, manufacturability, and environment, a comprehensive optimization method of a multi-feature tool scheme is proposed in this work. Firstly, the critical tool of a complex feature is defined, and a tool combination method with complex single features is proposed to generate an efficient tool strategy. Secondly, a tool scheme optimization model of multi-feature parts is constructed, where each machining feature is mapped to a game player in the model space, and the set of available tools is mapped to the player strategies. In addition, the classical evolutionary game algorithm is improved to adapt to the model, according to the large difference in the number and type of features of parts. Finally, a square test piece is taken as an example to verify the proposed method, and the results show that the method presented in the paper can efficiently obtain the customer-preferred tool scheme.

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Section: Solution Methods Based On Improved Evolutionary Gamementioning

confidence: 99%

A comprehensive cutting tool adaptation method of multi-feature part based on evolutionary game

Huo,

Zhou,

Liu

et al. 2023

Preprint

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show abstract

“…The intent of this study is to fill this gap, and the coalitional game is adopted to reconcile the conflicting between customer demand and economics objectives for PSS design under uncertainty. In this study, a Shapley value is obtained to represent a stable coalition condition in which all objectives will not unilaterally leave this coalition to improve their own benefits-please refer to [11,25].…”

Section: Research On Pss Design Evaluationmentioning

confidence: 99%

“…Three possible non-empty coalitions c exist: {P}, {E}, and {P, E}. To ensure that all players gain utility by cooperating with each other, instead of abandoning the coalition to form single coalitions (such as {P} or {E}), a pessimistic standard [25,49] was adapted to define the characteristic function that calculates the coalitional utility v({c}) of each player, as expressed in Equation ( 16). This approach ensures that coalitional utility is maximized if the players cooperate with each other, regardless of the strategy adopted by the coalition {c}.…”

Section: Decision Of the Optimal Solution Based On The Coalitional Ga...mentioning

confidence: 99%

“…It is well-understood that the balancing problem implies that it is impossible for a PSS decision to maximally satisfy all requirements, as the relative importance of CV and economic objectives must be considered to form a balanced solution. Therefore, the multiobjective balancing process resembles cooperative game theory [11,24], which attempts to obtain an optimal compromise by balancing the interests of all design objectives [25]. Moreover, the utility functions used in cooperative game theory are suitable for the incomplete and fuzzy nature of the early PSS design phase, as they do not require precise inputs and outputs.…”

Section: Introductionmentioning

confidence: 99%

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Conceptual Solution Decision Based on Rough Sets and Shapley Value for Product-Service System: Customer Value-Economic Objective Trade-Off Perspective

Feng

Jiang

et al. 2021

Applied Sciences

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The product service system (PSS), as a design concept for integrated products and services, needs to be evaluated in the early design stage to maximize the value for stakeholders of the PSS concept, which is a crucial task for enterprises. However, existing methods focus on the ranking and value assessment of PSS evaluation criteria (e.g., quality, sustainability, cost), ignoring the needs conflict between customer value and economic objectives in PSS design, resulting in decision results that are not applicable to industrial enterprises. Furthermore, the influence of weight preference and uncertain information on solution evaluation is seldom considered when calculating the weight of each criterion. To fill this gap, integrating rough sets and the Shapley value decision approach for product-service system design considering customer value-economic objective trade-off is proposed, which mainly includes two parts: firstly, the best worst method (BWM) and the entropy weight method are integrated to obtain the comprehensive weight of evaluation criteria in the customer value and economic objectives; secondly, the Shapley value method in the coalition game is used to solve the optimal expectation allocation of the two objectives, so as to select the solution closest to the allocation, i.e., the optimal solution. In addition, rough set techniques are used to capture and integrate subjective assessment information originating from DMs under uncertainty. Finally, a case study of the electric forklift design is illustrated to verify the proposed decision model. The decision results show that this approach is more reliable through sensitivity and comparison analysis, and provide a valuable recommendation for enterprises to consider product service in forklift design.

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“…Conceptual design has been accorded the most significant stage in the design process 1) . In fact, 70% of the life cycle cost of products, is influenced by the conceptual design stage 2) .…”

Section: Introductionmentioning

confidence: 99%

An Approach to Solution Variants Screening in Morphological Matrix based Conceptual Design

Balogun¹,

Jalil²,

Taib³

2022

Evergreen

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To make morphological matrix based conceptual design more efficient, a systematic procedure which enables complete extraction of the feasible solution variants (concepts) is developed. The approach entails: functional decomposition, generation of alternative solution principles for each subfunction, formation of combinatorial solution variants chains, and 3D space matrix and multiobjective concept optimisation-based concept screening. The approach was tested using the conceptual design of river cleaning machine. 625 theoretical concepts are obtained from the morphological matrix. The concepts are screened to 114 feasible concepts and optimised to obtain a preliminary design concept. Consequently, the concept selected for the river cleaning machine is outstanding based on efficiency, manufacturability, repairability and cost.

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A Product Conceptual Design Method Based on Evolutionary Game

Cited by 13 publications

References 15 publications

A comprehensive cutting tool adaptation method of multi-feature part based on evolutionary game

A comprehensive cutting tool adaptation method of multi-feature part based on evolutionary game

Conceptual Solution Decision Based on Rough Sets and Shapley Value for Product-Service System: Customer Value-Economic Objective Trade-Off Perspective

An Approach to Solution Variants Screening in Morphological Matrix based Conceptual Design

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