In response to the escalating need for sustainable production and consumption, manufacturers increasingly adopt Life-Cycle Design (LCD) to address environmental and social challenges. However, the complex nature of cross-organizational collaborations in LCD often leads to conflicts among stakeholders, hindering effective implementation. This study aims to address this gap by proposing a comprehensive method framework for characterizing, evaluating, and improving manufacturers' LCD Conflict Managing Capabilities (LCD-CMC). The study begins by explicating conflicts in LCD and introduces the People-Process-Technology Framework. This framework serves to comprehensively characterize LCD-CMC and to break down the abstract LCD-CMC concept into specific elements in three dimensions. Subsequently, a Maturity Model is developed for quantitatively evaluating LCD-CMC, utilizing a hybrid method integrating Decision-making Trial and Evaluation Laboratory (DEMATEL) and Analytical Network Process (ANP). DEMATEL enables the identification and quantification of interrelations among multiple criteria of the LCD-CMC evaluation system, while ANP facilitates the weighting of each criterion based on its significance. Together, these methodologies enable a comprehensive assessment of the maturity level of LCD-CMC. Building upon this foundation, a systematic approach for generating improvement strategies for LCD-CMC is proposed, leveraging the Total Adversarial Interpretive Structure Model (TAISM) to analyze the inter-relations among contributing capability elements. TAISM offers a practical approach to generating robust improvement strategies, ensuring effective and efficient improvements in LCD-CMC over time. Through a case study involving a prominent Chinese machine tool manufacturer, the feasibility and efficacy of our framework are demonstrated, providing valuable insights into potential improvements. Overall, this paper offers valuable insights into managing conflicts in LCD, providing a structured methodology for evaluating and improving LCD-CMC. By leveraging advanced models and methods, it contributes to addressing LCD conflicts and enhancing collaboration in LCD implementation. Furthermore, it contributes to enriching the knowledge of Life-Cycle Design in the context of conflict management, ultimately advancing sustainable production and consumption practices.

可持续发展已成为世界各国的共识。产品全生命设计是以提高产品服务系统可持续性为原则的先进设计方法论，是落实绿色制造战略的重要手段。针对产品全生命周期设计利益相关主体多、设计环节多、难度大风险高的问题，分析明确了跨组织协同必要性，辨析了不同主体可持续价值主张对协同设计的驱动作用；提出了基于“可持续价值-需求”-“技术要求”-“技术方案”域映射的产品生命周期设计方法框架，解决了面向可持续性的跨组织协同目标构建、设计冲突辨识、产品及其全生命周期过程（如工艺、服务）绿色设计实现等关键问题，并通过工程机械装备案例研究验证了可行性和有效性。

Product life cycle eco-design is challenging, knowledge-intensive and information dependent. This study aims to develop a case library system for eco-design knowledge management and to facilitate eco-design practice of mechatronic product (i.e. manufacturing equipment, construction machinery, vehicles). An ontology-based representation of mechatronic product life cycle eco-design is proposed, which enables the structuring and standardization of related data and the storage of such data in a computer-processable manner. Descriptive features of eco-design case are defined in accordance to the ontology model, based on which the similarity between eco-design case and case queries is calculated using the nearest neighbour method and case retrieval is realized based on the calculated similarity. With the proposed ontology model, a cloud-based eco-design case library is then developed, which provide the benefits of easy deployment and maintenance, and better accessibility.

：In surgical operation such as ophthalmic surgery, the micro vibration of the end of the surgical instrument can potentially reduce the required operation force.Therefore, a micro vibration module is proposed that can be integrated into the end-effector of the ophthalmic surgical robot to drive the surgical instrument to generate micro vibration.The micro vibration module is a kind of parallel compliant mechanism.The micro vibration module is composed of three parallel branch chains and a constrained central column.Each parallel branch chain contained two series-driven units, and the micro-vibration operation is performed through the flexible deformation of the drive unit and the central column.Then, the pseudo-rigid body model is used to describe the bending deformation of the driving unit and the center column, and the kinematics model of the micro vibration module is derived.Based on the analysis of the influence of the branch structure parameters on the performance of the micro vibration module, the branch structure parameters are determined.Finally, the performance of the micro vibration module is verified through experiments.Experimental results show that the micro vibration module can perform micro-vibrations at 30 Hz, 14 μm and 30 Hz, 18 μm in the direction of two degrees of freedom.At the same time, the experimental results verify the effectiveness of the proposed method. Key words：ophthalmic microsurgery；parallel

Scleral flap preparation is one of the basic operations in glaucoma surgery including trabeculectomy, glaucoma drainage implants (GDIs), and canaloplasty. In most cases, scleral flap preparation is performed manually by surgeons based on experience, which is various from person to So far, few robot-assisted scleral flap operations are applied. In this paper, a scleral flap drilling system is developed by integrating a force/torque sensor and an arc-shaped drilling tool. The drilling tool is designed based on a corneal trephine. The maximum force and torque are derived theoretically. Scleral flap preparation experiments are then performed on cadaveric porcine eyes. The maximum vertical cutting force and the difference of two continues peaks of torque are recorded and analyzed under various linear and angular velocities, and an empirical polynomial model is used to fit the correlation between the penetration force and the cutting depth. The results show that the maximum vertical cutting force and the penetration force occurred at different location. About 95% of the penetration force is observed below 2 N.

In the Ophthalmic microsurgery, as the contact forces between tool and tissue are too small to perceive and the excessive operating force might lead to tissue damage, an FBG-based two-dimensional micro-force sensor is developed. After the force-wavelength relationship is determined and the temperature effect to the wavelength is discussed, an algorithm is developed to cancel the temperature effect. A calibration experiment is performed on a self-developed micro-force sensor calibration platform (the measuring accuracy is 0.42 mN). The sensor is integrated to the end of an ophthalmic surgical forceps, which was used to perform continuous curvilinear capsulorhexis (CCC) on isolated pig eyeballs to obtain the force-time curves. By analyzing 19 sets of data, the average value of the maximum capsular force was 22.43 mN. The research laid the foundation for precise operation of ophthalmic surgery and micro-force control of surgical robots.

Membrane peeling in retinal and cataractous surgery is a challenging task due to physiological hand tremors and delicate tissue. To relieve this problem, we proposed a hybrid compliant mechanism with a flexible central chain and a cantilever beam to suppress hand tremors and vibrate along peeling direction since the vibration can reduce peeling force. The particularly designed mass block makes the axial deformation of central chain and cantilever beam negligible in dynamic modeling. We then studied the dynamic response of the proposed hybrid compliant mechanism. The pseudo-rigid-body model (PRBM) of compliant links, central chain and cantilever beam is given. The relationship between the moving platform and parallel kinematic chains is derived. Next, the full dynamic model is established using the Lagrange equation. Furthermore, the dimension of the full dynamic model is reduced by the proper orthogonal decomposition (POD) method. Simulation results show that the reduced-order model is about 9.0 times faster than the full dynamic model. Experimental results show that the average relative errors of the full dynamic model and the reduced-order model are 2.12% and 1.93%, respectively. (C) 2020 Elsevier Ltd. All rights reserved.y