Towards the efficient generation of variant design in product development networks: network nodes importance based product configuration evaluation approach

Guo, Yuming

doi:10.1007/s10845-021-01813-z

Cited by 3 publications

(1 citation statement)

References 41 publications

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“…Responding to changes in customer requirements is a decision-making and analysis process. Guo (2021) established the propagation mechanism of con guration change, developed an evaluation method of product con guration scheme based on the importance of network nodes, and gave a discrete particle swarm optimization algorithm.…”

Section: Al 2022)mentioning

confidence: 99%

An optimization method of product function configuration based on value analysis

Yin

Gao

Sun

2022

Preprint

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Product function configuration is important for customer satisfaction and enterprise profitability. In this paper, we attempt to apply the value engineering theory to optimize the configuration scheme. The concepts of customer perceived benefit, enterprise perceived cost and product function configuration value are discussed. The evaluation method of value elements based on utility theory is proposed, to quantify the function configuration value. The value model perfectly integrates the interests of the customer and the enterprise. The product function configuration optimization model is established and used to optimize an automatic transmission product configuration scheme. This optimization model based on value analysis can realize the game equilibrium between the customer and the enterprise, which attaches importance to the subjective feelings of them.

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Section: Al 2022)mentioning

confidence: 99%

An optimization method of product function configuration based on value analysis

Yin

Gao

Sun

2022

Preprint

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Complex product configuration updating oriented by changing customer requirements

Zhang

Gao

Wang

2023

Journal of Engineering Design

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Optimal Dynamic Production Planning for Supply Network with Random External and Internal Demands

Hu,

Bian,

Zhao

et al. 2024

Mathematics

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This paper focuses on joint production/inventory optimization in single and multiple horizons, respectively, within a complicated supply network (CSN) consisting of firm nodes with coupled demands and firm nodes with coupled demands. We first formulate the single-epoch joint optimal output model by allowing the production of extra quantity for stock underage, considering the fixed costs incurred by having inventory over demand and shortfalls. Then, the multi-temporal dynamic joint production model is further investigated to deal with stochastic demand fluctuations among CSN nodes by constructing a dynamic input–output model. The K-convexity defined in Rn space is proved to obtain the optimal control strategy. According to physical flow links, all demands associated to the nodes of CSN are categorized into the inter-node demand inside CSN (intermediate demand) and external demand outside CSN (final demand). We exploit the meliorated input–output matrix to describe demand relations, building dynamic input–output models where demand fluctuates randomly in single-cycle CSN and finite multi-cycle CSN. The novel monocyclic and multicyclic dynamic models have been developed to minimize system-wide operational costs. Unlike existent literature, we consider fixed costs incurred by overdemand and underdemand inventory into system operational cost functions and then demonstrate the convexity of objective functions. The cost function with two fixed penalty costs due to excess and shortage of inventory is developed in a multicycle model, and the K-convexity defined in Rn is proved to find out the optimal strategy for joint dynamic production of CSNs in the case of multi-products and multicycles.

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Towards the efficient generation of variant design in product development networks: network nodes importance based product configuration evaluation approach

Cited by 3 publications

References 41 publications

An optimization method of product function configuration based on value analysis

An optimization method of product function configuration based on value analysis

Complex product configuration updating oriented by changing customer requirements

Optimal Dynamic Production Planning for Supply Network with Random External and Internal Demands

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