An introduction to enterprise modeling and simulation

As part of an ongoing effort to continuously improve productivity, quality, and efficiency of both industry and Department of Energy enterprises, Los Alamos National Laboratory is investigating various manufacturing and business enterprise simulation methods. A number of enterprise simulation software models are being developed to enable engineering analysis of enterprise activities. In this document the authors define the scope of enterprise modeling and simulation efforts, and review recent work in enterprise simulation at Los Alamos National Laboratory as well as at other industrial, academic, and research institutions. References of enterprise modeling and simulation methods and a glossary of enterprise-related terms are provided

Social media and SMEs’ performance in developing countries: effects of technological-organizational-environmental factors on the adoption of social media

Increasing globalization and rapid digitization across industries have led to greater international competition. Furthermore, the emergence of new innovation has created both challenges and opportunities for small and medium-sized enterprises (SMEs). SMEs have recently been attracted to social media applications to reach a larger audience, improve their relationship with potential customers, and retain existing customers. However, the scant focus has been devoted to comprehensively understanding the adoption of social media in the SME context in developing countries. This study investigates the effects of technological-organizational-environmental (TOE) factors on social media adoption and its effect on SME performance. Data was collected by generating online survey link. SmartPLS 3.3 was used for the path analysis of 381 SMEs. The findings revealed a significant effect of relative advantage, cost-effectiveness, compatibility, interactivity (technological), entrepreneurial orientation (organizational), and customer pressure (environmental) factors, and an insignificant effect of top management support (organizational) and competitive pressure (environmental) determinants on social media adoption. The study found a significant influence of social media on SME performance. This paper offers several implications for decision-makers, policy-makers, and scholars interested in social media and its use. It builds an empirical, integrated framework for SMEs in developing countries

Effects of Social Media Use on Psychological Well-Being: A Mediated Model

The growth in social media use has given rise to concerns about the impacts it may have on users' psychological well-being. This paper's main objective is to shed light on the effect of social media use on psychological well-being. Building on contributions from various fields in the literature, it provides a more comprehensive study of the phenomenon by considering a set of mediators, including social capital types (i.e., bonding social capital and bridging social capital), social isolation, and smartphone addiction. The paper includes a quantitative study of 940 social media users from Mexico, using structural equation modeling (SEM) to test the proposed hypotheses. The findings point to an overall positive indirect impact of social media usage on psychological well-being, mainly due to the positive effect of bonding and bridging social capital. The empirical model's explanatory power is 45.1%. This paper provides empirical evidence and robust statistical analysis that demonstrates both positive and negative effects coexist, helping to reconcile the inconsistencies found so far in the literature

An introduction to USITC enterprise analysis

The United States Integrated Textile Complex (USITC) consists of fiber, textile, apparel, and retail firms who manufacture and distribute natural and synthetic fiber products. In today`s competitive global economy, USITC companies who team together to form supply chains require relationships which promote responsiveness to consumer demand, encourage business partnerships, and make effective use of resources. These supply chains, or pipelines, are being analyzed to improve time and cost performance. Enterprise analysis is the application of analysis methods and simulation tools to predict integrated performance of these pipelines. Through the use of scenario analysis, various alternatives in pipeline coordination and configuration can be assessed. Simply put, the end result is to design the pipeline so that the product the customer demands is delivered, in the right place, at the right time. In September 1996, industrial participants of the Demand Activated Manufacturing Architecture (DAMA) project completed the Phase 1 pipeline analysis study. The analysis identified opportunities to improve productivity and efficiency among five supply chain members, and proposed a generic modeling architecture and methodology that, if implemented, would identify actions necessary to improve supply-chain coordination among its members. The architecture and methodology are being pursued during the Phase 2 analysis, which is scheduled to be completed by the end of FY 1997. The goal of the Phase 2 analysis is to propose actionable recommendations to supply-chain members leading to a reduction of pipeline lead-time by 50%

Isotopic investigation of conformable lead deposits.

The purpose of this thesis is to investigate the isotopic composition of primary leads. The leads analysed were selected by R. L. Stanton in accordance with his geologic description for conformable deposits. It was anticipated that, of all available terrestrial leads, these were the least likely to have been modified isotopically by crustal processes. Detailed analyses and interpretations for fifty-six samples from nine different districts in Eastern Australia, Tasmania, Canada and New Zealand are presented. A precision of better than ±.05 per cent in the measurement of the Pb²⁰⁶/Pb²⁰⁴, Pb²⁰⁷/Pb²⁰⁴ and Pb²⁰⁸/Pb²⁰⁴ ratios was achieved for all samples by means of an intercomparison technique derived from that used by P. Kollar and R. D. Russell, and improved methods for reducing the data. As expected, the geologic criteria used by Stanton to identify conformable deposits have been found to be sufficient to identify deposits which are very uniform in isotopic composition. The findings of this research indicate that the criteria, although remarkably good, are not completely adequate for identifying primary leads. In particular, leads from two conformable deposits (Manitouwadge and Rosebery) were found to be anomalous, and those from two other deposits (Hall's Peak and Bathurst) may be anomalous. The single-stage lead model was found to be a very good approximation for isotopic development of the leads from the remainder of the conformable deposits studied by the writer, as well as for leads analysed by other workers at the University of British Columbia and assumed to be primary. These results suggest that primary leads have formed in a region for which there are very narrow limits of ±.6% and ± .8% to the variations in U²³⁸/Pb²⁰⁴ and Th/U ratios. They substantiate the hypotheses of Russell and Stanton that: (1) primary leads lie very closely to a unique single-stage growth curve in a plot of the ratios Pb²⁰⁷/Pb²⁰⁴ against Pb²⁰⁶/Pb²⁰⁴, and in a plot of Pb²⁰⁸/Pb²⁰⁴ against Pb²⁰⁶/Pb²⁰⁴; (2) leads away from this growth curve are anomalous. From the fit of the conformable leads to a single-stage growth curve, values of 4.52 ± .03 Gyr. and 4.54 ± .02 Gyr. have been calculated for the age of the earth. With the identification of a unique growth curve for primary leads, severe restrictions are placed on anomalous lead interpretations. These are illustrated in the interpretations of anomalous leads studied by the writer.Science, Faculty ofPhysics and Astronomy, Department ofGraduat

Solving JumpIN’ Using Zero-Dependency Reinforcement Learning (Student Abstract)

Reinforcement learning seeks to teach agents to solve problems using numerical rewards as feedback. This makes it possible to incentivize actions that maximize returns despite having no initial strategy or knowledge of their environment. We implement a zero-external-dependency Q-learning algorithm using Python to optimally solve the single-player game JumpIn’ from SmartGames. We focus on interpretability of the model using Q-table parsing, and transferability to other games through a modular code structure. We observe rapid performance gains using our backtracking update algorithm

Carbon Reduction Effect of Green Technology Innovation from the Perspective of Energy Consumption and Efficiency

Consumption-oriented or efficiency-oriented, it is a hard choice for the green technology innovation pathway. This paper uses the intermediary model to empirically analyze the panel data from 250 prefecture-level cities in China from 2010 to 2019. The conclusions show that: 1. At present, energy consumption-oriented green technology innovation at the national level in China shows a completely intermediary effect, which has a more obvious emission reduction effect; compared with energy consumption, energy efficiency-oriented green technology innovation only has a very weak intermediary effect of 6.58%. 2. Only the Eastern non-resource cities and the Midwest resource cities’ green technology innovation have the effect of energy efficiency-oriented emission reduction, accounting for 8.11% and 9.02%, respectively. 3. Both the Eastern resource cities and the Midwest non-resource cities have no intermediary effect on energy efficiency, so carbon emission reduction is more difficult than in other cities

Carbon Reduction Effect of Green Technology Innovation from the Perspective of Energy Consumption and Efficiency

Consumption-oriented or efficiency-oriented, it is a hard choice for the green technology innovation pathway. This paper uses the intermediary model to empirically analyze the panel data from 250 prefecture-level cities in China from 2010 to 2019. The conclusions show that: 1. At present, energy consumption-oriented green technology innovation at the national level in China shows a completely intermediary effect, which has a more obvious emission reduction effect; compared with energy consumption, energy efficiency-oriented green technology innovation only has a very weak intermediary effect of 6.58%. 2. Only the Eastern non-resource cities and the Midwest resource cities’ green technology innovation have the effect of energy efficiency-oriented emission reduction, accounting for 8.11% and 9.02%, respectively. 3. Both the Eastern resource cities and the Midwest non-resource cities have no intermediary effect on energy efficiency, so carbon emission reduction is more difficult than in other cities