Xiao‐lan Yao, Xiang‐tao Yu, Qing‐he Wu and Qi‐hong Liang
The purpose of this paper is to reduce the crop losses at two ends and both sides of a plate in the rolling process, to produce a rectangular plan view pattern plate and to…
Abstract
Purpose
The purpose of this paper is to reduce the crop losses at two ends and both sides of a plate in the rolling process, to produce a rectangular plan view pattern plate and to enhance the total product yield of the plates.
Design/methodology/approach
Based on sample data and the unchangeable principle of the slab volume in the rolling process, the predictive MAS control models were set‐up. They are width broad MAS predictive model, width broad MAS control model, gaugemeter automatic gauge control (GM‐AGC) model, and plates tracking model. After the models were tuned, the rolling test was implemented at LinFen Iron & Steel Co., Ltd.
Findings
It is found that by accurately predictive online modeling of MAS methods, the plan view pattern control can be applied in plate mills.
Research limitations/implications
As the rolling process is in high temperature, the plan view pattern is difficult to be detected. Normally, the real‐time abnormity distortion cannot be obtained.
Practical implications
The test results showed that the crop losses are reduced and the product yield is greatly increased.
Originality/value
This paper presents an accurately predictive online modeling of MAS method.
Details
Keywords
Maicom Sergio Brandao, Moacir Godinho Filho, Gilberto Miller Devós Ganga and Jorge Renato Verschoore
This study aims to unravel the complex coopetitive interactions in supply chains. It delves into the paradoxical relationship between cooperative and competitive interactions…
Abstract
Purpose
This study aims to unravel the complex coopetitive interactions in supply chains. It delves into the paradoxical relationship between cooperative and competitive interactions among supply chain entities, offering a comprehensive exploration of coopetition’s manifestations and management across various supply chain types.
Design/methodology/approach
The study uses a three-phase methodology, beginning with a scoping review to establish a theoretical framework, followed by a systematic literature review yielding 130 papers and concluding with correspondence analysis using similarity indexes. This approach facilitates a deep dive into the diverse aspects of coopetition, including its drivers, practices, outcomes and associated risks.
Findings
The research identifies three distinct types of coopetition in supply chains: technology-based, socially based and channel-based. These models are underscored by specific drivers and outcomes, with technology-based coopetition focusing on market competitiveness and operational capacity, socially based on trust and power dynamics and channel based on product characteristics. The study introduces five propositions for further investigation and provides a comprehensive typology of coopetition within supply chains.
Research limitations/implications
The study’s findings are limited by the scope of the existing literature and the chosen academic databases. Future research should empirically validate the proposed coopetition configurations and propositions, exploring their applicability in other, less studied supply chains.
Practical implications
The study offers practitioners a valuable typology and framework to understand and manage coopetition in their respective supply chains. This typology serves as a decision-making tool for identifying suitable coopetition strategies and maximizing their benefits while mitigating associated risks.
Originality/value
This study stands out for its unique approach to categorizing coopetition in supply chains, offering a novel typology that goes beyond the manufacturer’s perspective. It fills a significant gap in the literature by providing a broad view of coopetition, considering various supply chain types and their respective coopetitive dynamics.
Details
Keywords
Yingsi Tan, Shuang Geng, Li Chen and Lang Wu
Short-form health science videos have become an important medium for disseminating health knowledge and improving public health literacy. However, the factors that determine…
Abstract
Purpose
Short-form health science videos have become an important medium for disseminating health knowledge and improving public health literacy. However, the factors that determine viewer engagement are not well understood. This study aims to address this research gap by investigating the association between doctor image features and viewer engagement behavior, building on the personal branding theory and information signaling theory.
Design/methodology/approach
A sample of 1245 health science short-form videos was collected, and key video features related to doctor images were extracted through manual labeling. Multi-variable regression analysis and SPSS process model were employed to test the hypotheses.
Findings
The results show that doctor image features are significantly associated with viewer engagement behavior. Videos featuring doctors in medical uniforms receive more viewer likes, comments and shares. Highlighting the doctor's title can increase viewer collections. Videos shot in a home, white wall, or study room setting receive more like, comments and sharing. The doctor's appearance demonstrates a positive nonlinear relationship with viewer likes and comments. Young doctors with title information tend to attract more video collections than older doctors with title information. The positive effect of the doctor's appearance and showing title information, become more significant among male doctors.
Originality/value
This research provides novel insights into the factors that determine viewer engagement behavior in short-form health science videos. Specific doctor image features can enhance viewer engagement by signaling doctor professionalism. The results also suggest that there may be age and gender biases in viewers' perceptions.