No abstract

Nowadays, manufacturing high product variety is essential for manufacturing companies in order to be sustainable in a volatile market. However, maintaining a shorter lead time in manufacturing operations is also crucial as the speed delivery becomes one of the manufacturing competitive priorities. Motivated by this issue, this study aims to develop a model of Time Loss (TL) for sub-assembly processes in automotive industry. In relation to this, critical elements of TL will be clearly justified through a thorough analysis of literature study in the aspects of Man, Machine, Method, and Material (4M). In this study, the critical elements of TL is defined as an unnecessary activity that needs to be eliminated or minimized. The relationships between the critical elements of TL are clarified through the flow of activities involved in the concept of manufacturing input-output. Finally, the critical elements of TL are compared to the existing non-financial manufacturing performance measures presented in isolated models (e.g. leanness, agility, responsiveness, etc.). Results of the analysis show that the critical elements of TL can be represented as a holistic performance measure of manufacturing operations that includes leanness, agility, fitness, responsiveness, flexibility, and sustainability.

No abstract

Centrality analysis is a crucial tool for understanding the role of nodes in a network, but it is unclear how different centrality measures provide much unique information. To improve the identification of influential nodes in a network, we propose a new method called Hybrid-GSM (H-GSM) that combines the K-shell decomposition approach and Degree Centrality. H-GSM characterizes the impact of nodes more precisely than the Global Structure Model (GSM), which cannot distinguish the importance of each node. We evaluate the performance of H-GSM using the SIR model to simulate the propagation process of six real-world networks. Our method outperforms other approaches regarding computational complexity, node discrimination, and accuracy. Our findings demonstrate the proposed H-GSM as an effective method for identifying influential nodes in complex networks.

In the past ten years, the increasing customer awareness of environmental sustainability has driven the development of green products. As the initiator of product development, this situation can challenge product designers. Since customers may have varied expectations and preferences for green products, it depends on the green attributes embedded in the product and cultural value influences. As the natural behavior setting, cultural value has been proven to influence customer preferences in the literature. However, it was identified that previous studies had not clearly defined the consideration of cultural values in green product design. Therefore, this study aimed to generate a conceptual framework for embedding cultural value consideration in green product design. A comprehensive review of green product design and cultural values has been performed to align the relevancies for constructing the conceptual framework. Bibliographic analysis using the PRISMA approach was also performed to identify the current trend of green product design. It was expected that the proposed conceptual framework could be used as supporting insight in determining the customers’ preferences as an essential process for green product development.