A Sustainable Product Multi-platform Planning Model for Assembly and Disassembly Process

Guang-yu Zou, Zhongkai Li, Chao He
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Abstract

The development of product platform is an effective strategy to respond to dynamic market demands, decrease lead-time and delay products differentiation. However, the traditional product platform configuration method can not satisfy the sustainability requirements for modern products. To solve this problem, a sustainable product multi-platform (SPMP) model for assembly/ disassembly technology is proposed in this paper. The proposed SPMP model measures the energy consumption of module instances during the installation based on the platform-based assembly index (PAI) and platform-based disassembly index (PDI), and provides a multi-platform solution for the assembly of product family. To demonstrate the effectiveness of the proposed method, two product family cases are discussed. Simplified case shows that multi-objective particle swarm optimisation (MOPSO) algorithm has stronger optimisation ability than linear programming method in reducing product processing cost. The hair dryer family case demonstrates that the proposed method reduces the energy consumption during assembly by linking sustainability to product design.
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针对组装和拆卸过程的可持续产品多平台规划模型
开发产品平台是应对动态市场需求、缩短交付周期和延迟产品差异化的有效策略。然而,传统的产品平台配置方法无法满足现代产品的可持续性要求。为解决这一问题,本文提出了一种装配/拆卸技术的可持续产品多平台(SPMP)模型。所提出的 SPMP 模型基于基于平台的装配指数(PAI)和基于平台的拆卸指数(PDI)来衡量模块实例在安装过程中的能耗,并为产品家族的装配提供了一种多平台解决方案。为了证明所提方法的有效性,我们讨论了两个产品系列案例。简化案例表明,在降低产品加工成本方面,多目标粒子群优化(MOPSO)算法比线性规划方法具有更强的优化能力。吹风机系列案例表明,建议的方法通过将可持续性与产品设计联系起来,减少了组装过程中的能源消耗。
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