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This study aims to conduct text mining and semantic network analysis of muscle-supportive and posture-corrective wearable robots for the elderly to understand key terms related to the topic and to identify considerations for developing these types of clothing.

The authors searched and identified the key terms wearable robot, muscle-supportive, posture correction and elderly using the text-mining software Textom to extract terms as well as the network analysis software UCINET 6 to process and visualize the relationships among the terms. The authors compared and analyzed the term frequency (TF), the TF-inverse document frequency and the degree centrality of the terms, and the authors visualized and summarized the terms using NetDraw.

The key terms and their relationships in 3–4 groups were identified: wearable robot, muscle-supportive, posture correction and elderly. The authors identified the aspects of designing muscle-supportive and posture-corrective wearable robots for the elderly.

This study contributes to the field of muscle-supportive clothing and wearable robotics by deriving insights into what people are discussing and interested in, and by offering recommendations when developing these types of clothing for the elderly.

The purpose of this paper is to look at how, in order to fit the practical environment, the scopes of the order‐quantity of a quantity discount contract are enlarged.

The contract feasible set (CFS) is discussed to extend the order quantity from a single point to an interval.

The application of the CFS can enlarge the scope of the contracts of the supply chain. The CFS can be used in the practice.

The CFS of the quantity‐discount contract only is discussed. The other contracts do not be involved.

A very useful advice for construction the parameters of the contracts.

The concept of the CFS is defined. The new approach that extend the parameters of the contracts from a single point to an interval is provided.