Determining Decoupling Points in a Supply Chain Networks Using NSGA II Algorithm

Purpose: In the model, we used the concepts of Lee and Amaral (2002) and Tang and Chen (2009) and offer a multi-criteria decision-making model that identify the decoupling points to aim to minimize production costs, minimize the product delivery time to customer and maximize their satisfaction. Design/methodology/approach: we encounter with a triple-objective model that metaheuristic method (NSGA II) is used to solve the model and to identify the Pareto optimal points. The max (min) method was used. Findings: Our results of using NSGA II to find Pareto optimal solutions demonstrate good performance of NSGA II to extract Pareto solutions in proposed model that considers determining of decoupling point in a supply network. Originality/value: So far, several approaches to model the future have been proposed, of course, each of them modeled a part of this concept. This concept has been considered more general in the model that defined in follow. In this model, we face with a multi-criteria decision problem that includes minimization of the production costs and product delivery time to customers as well as customer consistency maximization.Peer Reviewe

Toward High-Voltage/Energy Symmetric Supercapacitors via Interface Engineering

This chapter includes elaborately selected recent literatures on electrochemical energy storing in symmetric supercapacitors (SSCs) with high operating voltages (voltage >1.6 V) and high specific energy. SSCs are a typical sort of electrochemical capacitors with larger energy density than conventional capacitors; by involving electrode materials with stable interfaces (for instance, nitrogen-doped carbon materials) and electrolytes with wide safe potential window (for instance, ionic liquids), they can supply competitive energy relative to batteries. Fundamentals of SSCs are first introduced, aiming at clarifying some critical interfacial phenomena that are critical to enhance overall capacitive performance. State-of-the-art SSCs are included as demonstrations from the aspects of both enhanced capacitances and expanded voltages. We also provide a few feasible strategies for the design high-voltage/energy SSCs such as using inactive electrode materials

Understanding the Impact of AI Decision speed and Historical Decision Quality on User adoption in AI-assisted Decision Making

Artificial intelligence (AI) has shown increasing potential in assisting users with decision-making. However, the impact of AI decision speed on users\u27 adoption intention has received limited attention compared to the focus on decision quality. Building on cue utilization theory, this study investigates the influence of AI decision speed on users\u27 intention to adopt AI. Three experiments were conducted, revealing that users exhibit a higher intention to adopt AI when AI\u27s decision speed is higher and historical decision quality is better. Furthermore, the perceived intelligence and perceived risk in decision-making act as mediating variables in these effects. Importantly, the study finds that historical decision quality moderates the relationship between AI decision speed and user adoption, weakening the impact in conditions of high quality. These findings contribute to the understanding of AI adoption and offer practical implications for AI service providers and developers

Case Study for Processing Phosphate Ores Worldwide

The characteristics of phosphate ores from different sources can vary significantly. The target specifications for marketable phosphate concentrates can also vary for each end user. The impurities associated with phosphate reserves include clay, silica quartz, silicates, carbonate minerals, iron oxide minerals, organics, etc. Among the technologies for processing phosphate ores, flotation is most commonly used to separate phosphate from those impurities. Examples of processing phosphate ores around the world with ArrMaz CustoFloat® (CF) and CustAmine® (CA) collectors with approaches such as reagent scheme and flowsheet will be presented

MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension

The large language models have achieved superior performance on various natural language tasks. One major drawback of such approaches is they are resource-intensive in fine-tuning new datasets. Soft-prompt tuning presents a resource-efficient solution to fine-tune the pre-trained language models (PLMs) while keeping their weight frozen. Existing soft prompt methods mainly focus on designing the input-independent prompts that steer the model to fit the domain of the new dataset. Those methods often ignore the fine-grained information about the task and context of the text. In this paper, we propose a multi-level prompt tuning (MPrompt) method for machine reading comprehension. It utilizes prompts at task-specific, domain-specific, and context-specific levels to enhance the comprehension of input semantics at different granularities. We also propose an independence constraint to steer each domain-specific prompt to focus on information within its domain to avoid redundancy. Moreover, we present a prompt generator that incorporates context-related knowledge in the prompt generation to enhance contextual relevancy. We conducted extensive experiments on 12 benchmarks of various QA formats and achieved an average improvement of 1.94\% over the state-of-the-art methods.Comment: 13 pages, 5 figures, accepted by EMNLP2023-Finding

What Is a Better Marketing Strategy for Live Streaming Broadcasters? A Topic Model of Social Interactions

Live streaming has spawned a new business model called live-streaming commerce (LSC). Interactive LSC features affect viewer purchasing behavior. This study empirically examines two types of social interactions in danmaku: transaction-oriented and relationship-oriented. Viewers in the first category focus on products and transactions and tend to talk non-emotionally. While relationship-oriented viewers might treat broadcasters as friends, using emotional language in their interactions. Our econometric model shows a curvilinear association of relationship-oriented social interaction and viewer purchase behaviors in LSC, but social interactions have varying effects on viewer purchase behaviors.We discuss implications of heterogeneous social-interaction strategies across different broadcasters

A Survey on the Status of Smart Healthcare from the Universal Village Perspective

This survey paper discusses the condition of smart healthcare implementation. It discusses the current healthcare problems and how smart healthcare technologies ease the problems. Our group, Universal Village, realizes that the integration and interaction between parties in a system will maximize the effectiveness and benefit for the system. Based on this idea, this paper considers the smart city system as a whole, and talks about how smart healthcare interacts with infrastructures and functions inside and outside of the smart healthcare field. Then, it analyzes how a more powerful integrated system can be built from the smart healthcare system. In the end, several case studies are listed. Based on our analysis and the case studies, this paper then ended with the future prospects of the smart healthcare.Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Tailoring Collectors to Allow for Sea Water Usage in Phosphate Beneficiation

Water supply is critical for ensuring the optimal operation of any beneficiation plant. As ore quality continues to decline, the demand on water for mineral processing will only increase. Traditionally, ground and surface water sources have been extensively utilized for mining. In some regions, these sources are proving to be insufficient to meet the increasing demands of this industry, as well as the municipal requirements. As a result, alternate water supplies must be considered. The purpose of this investigation was to develop a collector that allows for the flotation of phosphate in sea water, while still meeting the grade (\u3e 27.5% P2O5) and recovery (\u3e 80%) criteria. Please click Additional Files below to see the full abstract

How to Truly Optimize Phosphate Flotation, When Feed Grade is Ever-changing

Optimizing a reagent package or beneficiation process on an average feed experienced at a float plant is one of the key objectives in successfully achieving an optimal, average grade/recovery for any mineral being processed. However, unlike the quality controlled processing chemistries, or engineered process, the mineralogy is minimally controlled by selective mining at best. The change in mineralogy can be a blessing or curse, and can even devastate a plant in matter of minutes. Therefore, applying techniques such as using the core samples from mine planning, or sophisticated analytical instrumentation can assist with planning when a detrimental change will occur. However, seasoned and informed floatation operators are necessary for ensuring the plant is prepared to handle these changes. This paper focuses on the results obtained from the application of a technical service program, which allowed for the investigation of various problematic feeds that plague a phosphate flotation plant. The purpose of this investigation was to investigate the cause, and develop a response plan for the flotation operators and engineers for when these difficult feeds reach the plant. Please click Additional Files below to see the full abstract