Assessment of the Endorsers of e-Business Practices for Food Supply Chain Performance System

Globalisation and changing lifestyle of the people has escalated the demand for the more product customisation, taste preferences and awareness about the usage of quality food commodities. Recent developments in the field of information technology and its integration with the business practices has emerged as a new term named ‘e-business’ (EB). Increasing consumer base of the food supply chains (FSC), has escalated the demand of technological and operation advancements by mediating ‘EB’ activities. Such, practices become extensively crucial when the world is suffering from the pandemic of COVID-19, leading to distressing of FSC linkages causing frequent market closures. To tackle the same presented work, explores the various endorsers (EDR) of the ‘EB’ in FSC, which are contemplated by hybrid combination of multi-criteria decision making techniques. Outcomes of the present work aids managers to formulate the decision policies and develop a robust framework in the direction to cling the ‘EB’ practices with FSC.

Lean and agile metrics. Literature review and framework for measuring leagile supply chain

PurposeThe aim of this paper is to review metrics and develop a framework for measuring leagile supply chain. Metrics that are applicable in the lean, agile and leagile strategies are identified in the literature and are then combined into a framework that can reflect both agile and lean strategies – the leagile supply strategy.Design/methodology/approachThis work is based on the systematic literature review. Literature was collected, then lean and agile metrics were extracted, analysed, counted and grouped into the framework. Findings are compared against literature on leagile supply chain.FindingsFindings indicate that there are sets of metrics specific to lean strategy, such as are process-focused, cost, productivity, inventory and delivery-based metrics, and specific to agile such as flexibility, responsiveness, information sharing and cooperation. There are also metrics common for both strategies; they are related to time, quality and customer satisfaction. Lean measures are tangible and focused on internal processes and products, while agile measures are targeted at external environment.Practical implicationsThe framework could be used by practitioners as a starting point for performance system design.Originality/valueThere is a need to stop looking at lean and agile as separate and distinct supply strategies. Results of this research indicate that lean and agile are interlinked, both are focusing on customer satisfaction and quality. Applying a proposed set of metrics enables to design supply chain measurement system that reflects both strategies to measure leagile supply chain. The framework could be used by practitioners as a starting point for performance system design.

Decision Support System for Employee Performance Using AHP Method

The system supports the company's performance appraisal using the AHP (Case Study: PT. Andhy Putra) method, one of which is to find, select, assess and determine the best employees every year to match the abilities and assessment criteria applied so far. PT. Andhy Putra while assessing employee performance, especially in CME and OSP, still experiences shortcomings and weaknesses in determining qualified employees. This employee performance system has problems in assessing the performance appraisal data that is less accurate, which is carried out on a paper-based basis and requires less efficient time and large costs. For that, we need a decision support system in helping PT. Andhy Putra to conduct a performance appraisal every year. The method used in this employee assessment is AHP (Analytical Hierarchy Process), which is often also known as the weighting method. The process hierarchy analytical method is one of the methods used to find weight values ​​based on existing criteria and helps facilitate the ranking of alternatives based on the distance between the positive ideal solution and the negative ideal solution. There are 5 (five) criteria as a tool to assess employee performance, namely commitment to the company, desire for achievement, cooperation, leadership and discipline accompanied by the results of the implementation of this process hierarchy method in the form of ranking the alternatives used. This decision support system is built using the PHP programming language and MySQL database

Time-Fluid Field-Based Coordination through Programmable Distributed Schedulers

Emerging application scenarios, such as cyber-physical systems (CPSs), the Internet of Things (IoT), and edge computing, call for coordination approaches addressing openness, self-adaptation, heterogeneity, and deployment agnosticism. Field-based coordination is one such approach, promoting the idea of programming system coordination declaratively from a global perspective, in terms of functional manipulation and evolution in "space and time" of distributed data structures called fields. More specifically regarding time, in field-based coordination (as in many other distributed approaches to coordination) it is assumed that local activities in each device are regulated by a fair and unsynchronised fixed clock working at the platform level. In this work, we challenge this assumption, and propose an alternative approach where scheduling is programmed in a natural way (along with usual field-based coordination) in terms of causality fields, each enacting a programmable distributed notion of a computation "cause" (why and when a field computation has to be locally computed) and how it should change across time and space. Starting from low-level platform triggers, such causality fields can be organised into multiple layers, up to high-level, collectively-computed time abstractions, to be used at the application level. This reinterpretation of time in terms of articulated causality relations allows us to express what we call "time-fluid" coordination, where scheduling can be finely tuned so as to select the triggers to react to, generally allowing to adaptively balance performance (system reactivity) and cost (resource usage) of computations. We formalise the proposed scheduling framework for field-based coordination in the context of the field calculus, discuss an implementation in the aggregate computing framework, and finally evaluate the approach via simulation on several case studies.

What is new with Artificial Intelligence? Human-agent interactions through the lens of social agency

The introduction of automated systems, and more broadly of Artificial Intelligence (AI), into many domains has profoundly changed the nature of human activity, as well as the subjective experience that agents have of their own actions and their consequences – an experience that is commonly referred to as "sense of agency" (SoA). In this review, we propose to examine the empirical evidence supporting this impact of automation on individuals’ sense of agency, and hence on measures as diverse as operator performance, system explicability and acceptability. Because of some of its key characteristics, AI occupies a special status in the artificial systems landscape. We suggest that this status prompts us to reconsider human-AI interactions in the light of human-human relations. We therefore approach the study of joint actions in human social interactions to deduce what are the key features necessary to develop a reliable SoA in a social context. We suggest that the study of social interactions and the development of SoA in joint actions can help determine the content of relevant explanations to be implemented in AI to make it "explainable". Finally, we propose possible directions to improve human-AI interactions and, in particular, to restore the SoA of human operators, improve their confidence in the decisions made by artificial agents, and increase the acceptability of such agents.

Research on Music Emotion Intelligent Recognition and Classification Algorithm in Music Performance System

The music performance system works by identifying the emotional elements of music to control the lighting changes. However, if there is a recognition error, a good stage effect will not be able to create. Therefore, this paper proposes an intelligent music emotion recognition and classification algorithm in the music performance system. The first part of the algorithm is to analyze the emotional features of music, including acoustic features, melody features, and audio features. Then, the three kinds of features are combined together to form a feature vector set. In the latter part of the algorithm, it divides the feature vector set into training samples and test samples. The training samples are trained by using recognition and classification model based on the neural network. And then, the testing samples are input into the trained model, which is aiming to realize the intelligent recognition and classification of music emotion. The result shows that the kappa coefficient k values calculated by the proposed algorithm are greater than 0.75, which indicates that the recognition and classification results are consistent with the actual results, and the accuracy of recognition and classification is high. So, the research purpose is achieved.

Persistence of Illusion: Using Spatial Illusion as a Visual Performance Mechanism

<p>This thesis presents the design of a real-time visual performance system for live performances. Building on a research analysis of historical context and precedents, it is evident that software systems currently available to Live Cinema and VJ performers are often complex to navigate and counter intuitive to perform with. An alternative approach to visual performance system design is investigated in this thesis, where the spatial zone of the physical performance is used as the basis for the design, rather than purely placing the focus on software architecture. The investigation focuses on how the creation of live visual content can be achieved through the virtual and physical spatial relationships within the performance and how the performer then interacts with these relationships through bodily response and navigation. This is achieved through combining the successes of contemporary visual performances, the interaction techniques used in pre-cinema instrumentation and the use of projection mapping as a means of visually addressing the entire space of the performance. These investigations are demonstrated through a series of experiments and theoretical studies culminating in a set of design criteria, put together in a final system design accompanied by a demonstrative performance. The significance of this research is to provide the design basis for a successfully intuitive visual performance instrument, which can provide immediate results yet still require skill and experience to master. This will move the skill base of visual performance away from software navigation and more towards the physical ability to create and perform complex visual compositions in real time.</p>

Persistence of Illusion: Using Spatial Illusion as a Visual Performance Mechanism

<p>This thesis presents the design of a real-time visual performance system for live performances. Building on a research analysis of historical context and precedents, it is evident that software systems currently available to Live Cinema and VJ performers are often complex to navigate and counter intuitive to perform with. An alternative approach to visual performance system design is investigated in this thesis, where the spatial zone of the physical performance is used as the basis for the design, rather than purely placing the focus on software architecture. The investigation focuses on how the creation of live visual content can be achieved through the virtual and physical spatial relationships within the performance and how the performer then interacts with these relationships through bodily response and navigation. This is achieved through combining the successes of contemporary visual performances, the interaction techniques used in pre-cinema instrumentation and the use of projection mapping as a means of visually addressing the entire space of the performance. These investigations are demonstrated through a series of experiments and theoretical studies culminating in a set of design criteria, put together in a final system design accompanied by a demonstrative performance. The significance of this research is to provide the design basis for a successfully intuitive visual performance instrument, which can provide immediate results yet still require skill and experience to master. This will move the skill base of visual performance away from software navigation and more towards the physical ability to create and perform complex visual compositions in real time.</p>

Manager’s Role and Performance Information Use: Evidence from US Federal Agencies

This article explores the relationship between performance information use for different functions based on two of Moynihan’s analyses and a managerial perspective, utilizing passive and purposeful use. The results of this study suggest that both accountability and managers’ proximity to the performance system exert strong influence on the use of performance information in the public sector. In terms of organizational factors, data quality and meaningful measures are associated with performance information use. On the other hand, external attention has no effect on performance information use regardless of the types of performance information.

Deriving a Fire Occurrence Scenario Using Fire-Statistical Causation

According to the statistics obtained by the Ministry of Land, Infrastructure and Transport in 2019, approximately 40% of the buildings in the nation are buildings aged 30 or more years after completion. The Framework Act on Firefighting Services does not apply to old buildings, and they fall into a blind spot of the fire safety performance system. A large fire in a multi-dense facility causes heavy social casualties. This study therefore aimed to establish the type of fire occurrence and fire source scenario of a building for securing fire safety performance. The current fire scenario derivation method, which was identified as a causation factor among other detailed statistical factors, was analyzed to allow for differentiation from the proposed method. The base data were analyzed to establish fire response and prevention and for developing a performance-based fire-fighting design scenario by deriving a fire occurrence scenario.