scholarly journals Possible Impact of Robotics and Artificial Intelligence on Oman’s Logistics Sector: A Review

2020 ◽  
Author(s):  
Muhammad Ahmed ◽  
Asma Ghafoor Khan ◽  
Vikas Rao Naidu
Keyword(s):  
Artificial Intelligence ◽  
Modern World ◽  
Logistics Industry ◽  
Industry Standards ◽  
Logistics Company ◽  
Global Logistics ◽  
Changing Times ◽  
Intelligent Programming ◽  
A Company

Changing times require industries to adopt ever-changing technologies in order to stay afloat and compete at the global stage. The logistics industry is experiencing a global boom due to progress in the e-commerce sector and ever-increasing consumer needs of the modern world. Oman’s long-term vision includes logistic sector as one the main contributors to the country’s GDP. Sea Ports such as Sohar and Al Duqm are another indication of the Sultanate’s ambitions to diversify the economy for the post-oil era. The logistics sector in Oman needs to adopt technology that not only helps it with improving its operations but helps reshape the industry standards in Oman. Robot adoption is the latest trend in the global logistics industry and Oman’s leading logistics companies need to adopt it too. The combination of logistic robots and right artificial intelligent programming can do wonders for a company. Artificial intelligence complements robotics to achieve their tasks more efficiently and helps with better robot maintenance. Oman’s logistics sector can benefit greatly from the introduction of logistic robots on both practical fronts as well as the marketing front. A research was conducted based on one of Oman’s leading and most prominent logistics company to identify the level of robotics and artificial intelligence in use. The descriptive approach of research was applied to attain the required data through both quantitative and qualitative means. Interviews and surveys were conducted in order to justify the requirement of the proposed research. The aim of the study was to build a case for implementation of robotics in conjunction with artificial intelligence in Oman’s logistics sector in order for Oman’s logistics sector to fulfil its potential and compete at global stage.

People-Oriented Optimization Model Of Warehouse Staff Scheduling Problem

2021 ◽  
Vol 12 (1) ◽  
pp. 119-119
Author(s):  
Guoyou Yue ◽  
Yuexia Huang ◽  
Linluan Huang
Keyword(s):  
Material Flow ◽  
Main Body ◽  
Scheduling Problem ◽  
Staff Scheduling ◽  
Labor Costs ◽  
Logistics Industry ◽  
Logistics Enterprise ◽  
Logistics Company ◽  
Integrated Logistics

With the development of e-commerce, China is actively promoting the construction of logistics informatization and intelligence, and simultaneously promoting the standardized and efficient development of warehousing industry, one of the important links of logistics. It is clearly pointed out in the "Medium and Long Term Plan for the Development of the Logistics Industry" issued by the State Council that "The warehousing industry is not only the main body of the traditional logistics industry, but also an important part of the modern logistics industry. In the process of material flow, the level of storage cost has a greater impact on the development of the logistics industry." This paper chooses Sinotrans Logistics Company as the research object. Sinotrans Logistics Company is the largest integrated logistics provider in China and a national 5A comprehensive logistics enterprise. The main problems in Sinotrans warehousing management include: increased operation difficulty of cross-warehouse inventory, large order volume and delayed processing, unreasonable scheduling of warehouse staff, more idle time for warehouse staff and large difference in human efficiency per hour, etc. The key elements of these problems are the work efficiency of employees. Therefore, warehouse management needs to carry out fine scheduling of warehouse staff to improve the completion rate of orders and reduce the waste of labor costs. Keywords: Warehouse staff scheduling problem, integer programming, linear regression model, people-oriented

Secular stagnation in the modern world

2018 ◽  
pp. 125-141 ◽  
Author(s):  
S. M. Drobyshevsky ◽  
P. V. Trunin ◽  
A. V. Bozhechkova
Keyword(s):  
Public Debt ◽  
Capital Accumulation ◽  
Technological Development ◽  
Japanese Economy ◽  
Modern World ◽  
Key Factors ◽  
Destruction Process ◽  
Secular Stagnation ◽  
The Impact

The paper studies the factors of secular stagnation. Key factors of long-term slowdown in economic growth include the slowdown of technological development, aging population, human capital accumulation limits, high public debt, creative destruction process violation etc. The authors analyze key theoretical aspects of long-term stagnation and study the impact of these factors on Japanies economy. The authors conclude that most of the factors have significant influence on the Japanese economy for recent decades, but they cannot explain all dynamics. For Russia, on the contrary, we do not see any grounds for considering the decline in the economy since 2013 as an episode of secular stagnation.

PRACTICAL ASPECTS OF APPLICATION OF THE MODEL OF INTEGRAL ASSESSMENT OF THE LEVEL OF ECONOMIC SECURITY OF UKRAINE

2017 ◽  
Author(s):  
Oksana Gaiduchok ◽  
◽  
Oleksiy Stupnytskyi ◽  
Keyword(s):  
National Security ◽  
Economic Security ◽  
Modern World ◽  
Security Threats ◽  
National Interests ◽  
Modern Times ◽  
Military Security ◽  
Integral Assessment ◽  
Political Economic

In modern times, it is believed that by reducing the risk of military intervention, military security has lost its relevance, and economic security has become a priority of national interests. The principle of economic security is as follows: national interests are supported through an economic system that supports free exchange and ensures the upward mobility of the nation. The analysis of economic security is based on the concept of national interests. It is well known that the problem of national security and its components cannot be considered only from the standpoint of current interests; it is closely related to the possibilities of their implementation over a significant, long-term period. Each stage of realization of national interests of the country is characterized by its assessment of its geopolitical, geostrategic and geoeconomic conditions, security threats and the main carriers of these threats, the mechanism of realization of national interests (each of the stages has its own assessment of the main definitions and categories of security, the main vectors of geoeconomic policy). Economic security is the foundation and material basis of national security. A state is in a state of security if it protects its own national interests and is able to defend them through political, economic, socio-psychological, military and other actions. There is a close connection between economic security and the system of national and state interests, and it is through this category that the problems of economic potential and economic power of the state, geopolitical and geoeconomic positions of the country in the modern world are intertwined. At a time when regional forces are trying to expand markets, provide access to finance and the latest technology, economic security has become a necessary component of the ability of regional forces to expand their influence. The article is devoted to the study of economic security of Ukraine and its components using the model of quantitative assessment of economic security of Ukraine. Using the Fishburne method, a model is built that allows to obtain an integrated assessment of the level of economic security based on the synthesis of nine partial indicators.

PROSPECTS OF ARTIFICIAL INTELLIGENCE IN CARRYING OUT THE ONCOLOGICAL COMPONENT OF MEDICAL EXAMINATION OF THE POPULATION

2019 ◽  
Vol 65 (2) ◽  
pp. 234-237
Author(s):  
Vyacheslav Cherenkov ◽  
A. Petrov ◽  
I. Gulkov ◽  
A. Kostyukov
Keyword(s):  
Artificial Intelligence ◽  
Early Diagnosis ◽  
Mass Screening ◽  
Malignant Tumors ◽  
Risk Groups ◽  
Modern World ◽  
Pilot Program ◽  
Urgent Problem ◽  
Gender And Age ◽  
Group Version

Diagnosis of malignant tumors is an urgent problem of the modern world. Early diagnosis depends on General practitioners. The doctor should conduct a systematic examination of the patient regularly, taking into account the risk groups, gender and age. With mass screening, signs of dysplasia or an early focus, developing cancer can «slip away» [1]. Optimization of analysis and examination algorithms is required, which is not always possible for one person. Positive application of the digital program with elements of imaging in Oncology, we were able to create such a class of tasks for the preliminary subjective-objective survey of patients in three versions: with a widescreen screen and consoles for patients (group version up to 15 or more patients), interactive (touch) and tablet. The results of the survey are sent through the accepted channels to the doctor with recommendations for further examination, and the patient is given a coupon. The pilot program showed that the system of such robotic technologies in the future can replace the oncologist in its development to artificial intelligence at the stage of the primary link.

The association of artificial intelligence-enabled electrocardiogram-derived age (physiologic age) with atherosclerotic cardiovascular events in the community

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
J Medina-Inojosa ◽  
A Ladejobi ◽  
Z Attia ◽  
M Shelly-Cohen ◽  
B Gersh ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Bypass Graft ◽  
P Value ◽  
Funding Source ◽  
Atherosclerotic Cardiovascular Disease ◽  
Age Gap ◽  
Predicted Risk ◽  
Age And Sex

Abstract Background We have demonstrated that artificial intelligence interpretation of ECGs (AI-ECG) can estimate an individual's physiologic age and that the gap between AI-ECG and chronologic age (Age-Gap) is associated with increased mortality. We hypothesized that Age-Gap would predict long-term atherosclerotic cardiovascular disease (ASCVD) and that Age-Gap would refine the ACC/AHA Pooled Cohort Equations' (PCE) predictive abilities. Methods Using the Rochester Epidemiology Project (REP) we evaluated a community-based cohort of consecutive patients seeking primary care between 1998–2000 and followed through March 2016. Inclusion criteria were age 40–79 and complete data to calculate PCE. We excluded those with known ASCVD, AF, HF or an event within 30 days of baseline.A neural network, trained, validated, and tested in an independent cohort of ∼ 500,000 independent patients, using 10-second digital samples of raw, 12 lead ECGs. PCE was categorized as low<5%, intermediate 5–9.9%, high 10–19.9%, and very high≥20%. The primary endpoint was ASCVD and included fatal and non-fatal myocardial infarction and ischemic stroke; the secondary endpoint also included coronary revascularization [Percutaneous Coronary Intervention (PCI) or Coronary Artery Bypass Graft (CABG)], TIA and Cardiovascular mortality. Events were validated in duplicate. Follow-up was truncated at 10 years for PCE analysis. The association between Age-Gap with ASCVD and expanded ASCVD was assessed with cox proportional hazard models that adjusted for chronological age, sex and risk factors. Models were stratified by PCE risk categories to evaluate the effect of PCE predicted risk. Results We included 24,793 patients (54% women, 95% Caucasian) with mean follow up of 12.6±5.1 years. 2,366 (9.5%) developed ASCVD events and 3,401 (13.7%) the expanded ASCVD. Mean chronologic age was 53.6±11.6 years and the AI-ECG age was 54.5±10.9 years, R2=0.7865, p<0.0001. The mean Age-Gap was 0.87±7.38 years. After adjusting for age and sex, those considered older by ECG, compared to their chronologic age had a higher risk for ASCVD when compared to those with <−2 SD age gap (considered younger by ECG). (Figure 1A), with similar results when using the expanded definition of ASCVD (data not shown). Furthermore, Age-Gap enhanced predicted capabilities of the PCE among those with low 10-year predicted risk (<5%): Age and sex adjusted HR 4.73, 95% CI 1.42–15.74, p-value=0.01 and among those with high predicted risk (>20%) age and sex adjusted HR 6.90, 95% CI 1.98–24.08, p-value=0.0006, when comparing those older to younger by ECG respectively (Figure 1B). Conclusion The difference between physiologic AI-ECG age and chronologic age is associated with long-term ASCVD, and enhances current risk calculators (PCE) ability to identify high and low risk individuals. This may help identify individuals who should or should not be treated with newer, expensive risk-reducing therapies. Funding Acknowledgement Type of funding source: Foundation. Main funding source(s): Mayo Clinic

Enterprise distribution routing optimization with soft time windows based on genetic algorithm

2021 ◽  
pp. 1-11
Author(s):  
Kaixian Gao ◽  
Guohua Yang ◽  
Xiaobo Sun
Keyword(s):  
Genetic Algorithm ◽  
Customer Satisfaction ◽  
Optimization Problems ◽  
Rapid Development ◽  
Time Windows ◽  
Theory And Practice ◽  
Routing Problem ◽  
Logistics Industry ◽  
Routing Optimization ◽  
A Company

With the rapid development of the logistics industry, the demand of customer become higher and higher. The timeliness of distribution becomes one of the important factors that directly affect the profit and customer satisfaction of the enterprise. If the distribution route is planned rationally, the cost can be greatly reduced and the customer satisfaction can be improved. Aiming at the routing problem of A company’s vehicle distribution link, we establish mathematical models based on theory and practice. According to the characteristics of the model, genetic algorithm is selected as the algorithm of path optimization. At the same time, we simulate the actual situation of a company, and use genetic algorithm to plan the calculus. By contrast, the genetic algorithm suitable for solving complex optimization problems, the practicability of genetic algorithm in this design is highlighted. It solves the problem of unreasonable transportation of A company, so as to get faster efficiency and lower cost.

scholarly journals Risk Profiles Along the Lifecycle in Dynamic Markets

2015 ◽  
Vol 6 (3) ◽  
pp. 35-46
Author(s):  
Tamas Koplyay ◽  
Brian Mitchell ◽  
Sorin Cohn ◽  
Maria Fekete ◽  
Abdelkader Jazouli
Keyword(s):  
Value Chain ◽  
Critical Role ◽  
Distribution Channel ◽  
Operating Mode ◽  
Life And Death ◽  
Dynamic Markets ◽  
Start Up ◽  
Distribution Channel Management ◽  
A Company

Abstract That supply chain management and logistics are a determining factor for the long term success of a company was well documented by Forrester over a half century ago [1], with the importance of the statement only growing through the intervening years.Whether consciously factored into the operating mode or not, logistics and distribution channel management plays a critical role in the life, and death, of a firm. From the rudimentary beginnings of the start-up company to the hectic world of the growth company and onto the relatively secure existence in mature markets, the value chain consisting of logistics and distribution channel linkages follows the firm, until it solidifies into immutable form of the mature value chain and begins to exert an inexorable pressure on the survival of the entire chain, and conversely the chain imposes its will on the members. The emergence of mature industry value chains is often driven by the need to monopolistically control logistics and distribution channels which provides a competitive advantage but also introduces a serious exposure to pending shock loadings of the chain.

Accelerating democratic global state formation

2012 ◽  
Vol 47 (2) ◽  
pp. 157-175 ◽  
Author(s):  
Christopher Chase-Dunn ◽  
Hiroko Inoue
Keyword(s):  
State Formation ◽  
Global Governance ◽  
International System ◽  
Modern World ◽  
Global State ◽  
World State ◽  
Global Democracy ◽  
15Th Century ◽  
Historical Processes

This article discusses the evolution of the international system and global governance within the Europe-centred modern world-system since the 15th century in the context of a comparative framework that includes interpolity systems since the Stone Age. The evolution of the modern system includes the emergence of the European system of sovereign national states and colonial empires, the extension of the Westphalian system to the non-core by succeeding waves of decolonization, the rise and fall of successively larger hegemons, the deepening of global capitalism in waves of globalization, the emergence of weak international regulatory institutions and the prospects for and the rapid emergence of global democracy. It is not claimed that a global state has already emerged, but the authors see the long-term processes as the early stages of the emergence of a world state, and consider how these processes might be accelerated within the next few decades. The need for democratization of the institutions of global governance is also discussed. However, in this article, the focus is more on real geo-historical processes than normative questions, outlining the evolution of interpolity institutional orders, describing the challenges in thinking about global state formation, and discussing some of the technological and political forces that might accelerate the long-term trend toward global state formation.

ARTIFICIAL INTELLIGENCE

2021 ◽  
pp. 56-63
Author(s):  
V. I. Matveev
Keyword(s):  
Artificial Intelligence ◽  
Social Environment ◽  
Science And Technology ◽  
Main Direction ◽  
Modern World ◽  
The Social ◽  
Legislative Measures

Artificial intelligence is becoming the main direction of the development of science and technology, making progress at a new level. Automation of production, the implementation of operations in hazardous and harmful areas, the implementation of routine actions in the environment are inevitable in the modern world. A person creates an analogue for himself, realizing the possible consequences and limiting them to legislative acts. The article provides positive examples of the implementation of the artificial intelligence project and legislative measures that limit its impact on the social environment.

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