Hierarchical game joint optimization for product family-driven modular design

Ma, Shuang; Du, Gang; Jiao, Jianxin; Zhang, Ruchuan

doi:10.1057/jors.2016.32

Cited by 24 publications

(4 citation statements)

References 40 publications

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“…Yoo et al [22] have considered increasing consumer-perceived benefits and consumer-perceived values. Ma et al [23] have studied products' family-driven module design, the objective function of which is to maximize the sum of modularity satisfaction. In recent years, scholars have gradually begun to investigate the integration of product family design within the sustainable implications in Industry 4.0.…”

Section: Product Family Architecturementioning

confidence: 99%

Optimal Sustainable Manufacturing for Product Family Architecture in Intelligent Manufacturing: A Hierarchical Joint Optimization Approach

Ma,

Chen,

2024

Sustainability

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As consumers and governments prioritize cost-effectiveness and ecological sustainability, the limitations of traditional manufacturing paradigms become apparent in the context of constrained resources. The adverse effects of these paradigms on the environment and society hinder the achievement of a sustainable product life cycle. Intelligent manufacturing processes offer a solution by efficiently gathering meaningful data, such as usage and product recycling information, from previous product generations to enhance product design and subsequent sustainable manufacturing processes (SMPs). Modular product family architecture (PFA) design holds promise in promoting product sustainability and addressing diverse consumer needs. PFA design and SMPs are inherently interconnected within intelligent manufacturing frameworks. This paper aims to integrate the decision-making processes underlying PFA with SMPs. We model integrated PFA and SMP decisions as a Stackelberg game, which involves hierarchical joint optimization (HJO) for assessing product modularity and sustainable manufacturing fulfillment. We develop a bilevel 0–1 integer nonlinear programming model to represent the HJO decision-making process and propose a nested genetic algorithm (NGA) to solve the HJO problem. A case study with a laptop is conducted to validate the feasibility and potential of the proposed HJO model for joint optimization problems in PFA design and SMPs.

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Section: Product Family Architecturementioning

confidence: 99%

Optimal Sustainable Manufacturing for Product Family Architecture in Intelligent Manufacturing: A Hierarchical Joint Optimization Approach

Ma,

Chen,

2024

Sustainability

Self Cite

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“…Product modularity is the process of breaking down the complex product into many submodules that can be easily assembled into a variety of final products (Tu et al, 2004; Zhang et al, 2014). The role of product modularity has been widely explored, such as reducing return losses and remanufacturing costs (Gu & Sosale, 1999; Mukhopadhyay & Setoputro, 2005), enabling product variety (Ma et al, 2016), and improving MC capability (Mikkola, 2007; Tu et al, 2004). Ülkü and Hsuan (2017) stated that product modularity can enable sustainable production and then increase sustainable consumption.…”

Section: Literature Reviewmentioning

confidence: 99%

Managing mass customization products with modular design for recycling in a closed‐loop supply chain

Jiang

2023

Manage Decis Econ

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Investing in the modular architecture design for mass customization (MC) products cannot only enable product variety, thereby improving MC ability to cope with consumer individual needs, but also increase the product interchangeability, thereby reducing the recycling and remanufacturing costs. This paper considers a closed‐loop supply chain (CLSC) with MC, in which the manufacturer sells the new, modular MC products via the retailer and also actively recycles the used ones for remanufacturing. We study the optimal modularity level for new MC products and the best recycling channel for used MC products in a CLSC. One centralized and two decentralized recycling decision models are formulated, and then the equilibrium solutions among proposed models are compared and analyzed. The government subsidy and channel leadership are further discussed in extension. Different from the traditional view that outsourcing the recycling activity to retailer is best because of its proximity to consumers, our results suggest that the manufacturer directly recycling used MC products can be optimal in terms of modularity level, recycling rate, supply chain profits, total social surplus, and decision‐making speed.

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“…Tseng and Hu (2014) review the logical mapping of PF architecture, which mainly includes functionality, modularity, commonality and structural aspects of the product. Ma et al (2016) propose a hierarchical joint optimization game for the modular design of the PF, focussing on technical system modularity. Mohammed & Duffuaa (2020) analyse an optimal design of a supply chain based on multi-objective, multi-product supply chain networks.…”

Section: Product Family Designmentioning

confidence: 99%

“…Therefore, there is a need to constitute a SCD that addresses the configuration of the supply chain for a particular PF. This involves the joint configuration decisions for the optimal PF planning and the selection of supply options on each supply chain echelon (Wang et al 2016;Ma et al 2016;Shahzad and Hadj-Hamou, 2013).…”

Section: Introductionmentioning

confidence: 99%

Optimal supply chain design with product family: A cloud-based framework with real-time data consideration

Ali

Alkilabi

et al. 2021

Computers & Operations Research

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Hierarchical game joint optimization for product family-driven modular design

Cited by 24 publications

References 40 publications

Optimal Sustainable Manufacturing for Product Family Architecture in Intelligent Manufacturing: A Hierarchical Joint Optimization Approach

Optimal Sustainable Manufacturing for Product Family Architecture in Intelligent Manufacturing: A Hierarchical Joint Optimization Approach

Managing mass customization products with modular design for recycling in a closed‐loop supply chain

Optimal supply chain design with product family: A cloud-based framework with real-time data consideration

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