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The uncertainty of remanufacturing parts is a key factor affecting the quality of remanufactured products. Therefore, the purpose of this paper is to measure the uncertainty of remanufactured parts and study the coupling mechanism of reassembly quality.

First, uncertainty of remanufactured parts is analyzed, and the uncertainty measure model for remanufacturing parts based on entropy is constructed. Second, the nonlinear mapping model between the uncertainty and reassembly quality were studied using Gauss-Newton iterative method to reveal the coupling mechanism between uncertainty of remanufacturing parts and reassembly quality. Finally, the model is verified in the reassembly process of remanufacturing cylinder head.

The method can guide reassembly operations to improve the reassembly quality with uncertainty of remanufactured parts.

This study provides practical implications by developing a multivariate nonlinear mapping model for reassembly quality based on entropy to determine the uncertainty factors that affect the reassembly quality significantly and then correct the reassembly operation to better optimize the allocation of remanufacturing production resources. The study also theoretically contributes to reveal the coupling mechanism of reassembly quality with the uncertainty of remanufactured parts.

The main purpose of this study is to provide a decision-making basis for the development of a sustainability strategy by importance-performance analysis (IPA) methods. However, traditional and modified IPA methods do not accurately reveal the impact of the various dimensions of sustainable development (SD) on cultural landscape (CL). Based on the structural equation model (SEM), four main dimensions of SD were identified from the available data. This paper conducted an optimized IPA by building three SEMs based on importance, performance and the importance of four dimensions.

This paper proposes the use of exploratory factor analysis (EFA) and SEM to develop the CL characteristic index evaluation model to determine the load of each indicator of importance and performance, and the SD-based measurement model to further determine the weight of the sustainability of each indicator in importance and performance. Afterwards, proposed sustainable strategies to the corresponding index were obtained.

This study offers useful insights into the actual operation and theoretical aspects of the IPA method.

This study offers useful insights into the actual operation and theoretical aspects of the IPA method. This can solve the incongruous and uncertainty problem in the sustainable planning strategy, and the case study proves the feasibility of the IPA method combined with the influence of the structural equation.

The research is conducive to acceptance by local people with regard to their preferences in the perspective of sustainable development. It provides a basis for the future use of the IPA method in a comprehensive way based on an administrative angle.

The case study proves the feasibility of the IPA method combined with the influence of the structural equation. This provides a basis for the future use of the IPA method in a comprehensive way based on an administrative angle.