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The optimal control on reassembly (remanufacturing assembly) error is one of the key technologies to guarantee the assembly precision of remanufactured product. However, because of the uncertainty existing in remanufactured parts, it is difficult to control assembly error during reassembly process. Based on the state space model, this paper aims to propose the optimal control method on reassembly precision to solve this problem.

Initially, to ensure the assembly precision of a remanufactured car engine, this paper puts forward an optimal control method on assembly precision for a remanufactured car engine based on the state space model. This method takes assembly workstation operation and remanufactured part attribute as the input vector reassembly status as the state vector and assembly precision as the output vector. Then, the compensation function of reassembly workstation operation input vector is calculated to direct the optimization of the reassembly process. Finally, a case study of a certain remanufactured car engine crankshaft is constructed to verify the feasibility and effectiveness of the method proposed.

The optimal control method on reassembly precision is an effective technology in improving the quality of the remanufactured crankshaft. The average qualified rate of the remanufactured crankshaft increased from 83.05 to 90.97 per cent as shown in the case study.

The optimal control method on the reassembly precision based on the state space model is available to control the assembly precision, thus enhancing the core competitiveness of the remanufacturing enterprises.

Consistent with an “absolute bonding hypothesis,” the benefits of listing on US exchanges experienced by cross-listed firms are accompanied by an increased risk of experiencing a spillover effect due to negative news within their industry. The purpose of this study is to test this form of the bonding hypothesis by analyzing the spillover effect to cross-listed firms when class action lawsuits are filed against their industry peers.

The bonding hypothesis is tested by analyzing the spillover effect to non-sued cross-listed firms of class action lawsuits brought against US domestic firms in the same industry. The spillover effect is identified using cumulative abnormal returns around lawsuit filing dates from 1996 to 2020. A sample of matched non-sued cross-listed and domestic peer firms is evaluated in a cross-sectional analysis to identify country and firm-level characteristics that mitigate the negative spillover effect to cross-listed firms.

While US firms realize significantly negative abnormal returns when class action suits are filed against their industry peers, the impact to cross-listed peers is statistically insignificant. In multivariate analyses, we show that the ability of cross-listed firms to avoid this negative spillover effect is stronger for firms with greater profitability that are headquartered in countries with better shareholder protections and governance characteristics.

Results suggest that cross-listed firms may have a level of immunization from the negative industry spillover effect of class action lawsuits and, thus, exhibit only “partial bonding” to the US market.