Comparative analysis of order allocation methods and intelligent systems for effective download of production capacities of manufacturing enterprise

The article compares the planning systems of the enterprise, determines their opportunities to use simulation for the process of distribution of production orders. A comparative review of the methods used in production planning systems and the multi-agent approach in solving the problem of the allocation of production orders is carried out. The possibility of approaches in cases when it is impossible to perform production tasks within the established time frame is considered, as well as to effectively load the available capacities of the units. In case it is not possible to produce the necessary quantity to distribute the part to another, similar to the type of equipment used, but different from it by the quantity and production capacity of the unit. Transmission must be carried out under the condition of sufficient capacity in the subdivision. The results of theoretical and experimental studies are presented. In the process of work, we used the BPsim. MAS dynamic modeling system. An automated system with the possibility of using simulation for the allocation of production orders is considered. © 2019 IOP Publishing Ltd. All rights reserved.The work was supported by Act 211 Government of the Russian Federation, contract № 02.A03.21.0006

Modeling & Simulation Education for the Acquisition and T&E Workforce: FY07 Deliverable Package

This report was prepared for CAPT Mike Lilienthal, PhD, CPE, and funded by ASN (RDA) CHENG and the Modeling and Simulation Coordination Office (MSCO).This technical report presents the deliverables for calendar year 2007 for the "Educating the Modeling and Simulation Workforce" project performed for the DoD Modeling and Simulation Steering Committee. It includes the results for spirals one and two. Spiral one is an analysis of the educational needs of the program manager, systems engineer, and test and evaluation workforces against a set of educational skill requirements developed by the project team. This is referred to as the 'learning matrix'. Spiral two is a set of module and course matrices, along with delivery options, that meets the educational needs indentified in spiral one. This is referred to as the 'learning architecture'. Supporting materials, such as case studies and a handbook, are included. These documents serve as the design framework for spirals three and four, to be completed in CY2008, and which involve the actual production and testing of the courses in the learning architecture and their longitudinal assessment. This report includes the creative work of a seven university consortium and a group of M&S stake-holders, together comprising over 60 personnel.ASN (RDA) CHENG and the Modeling and Simulation Coordination Office (MSCO).This report was prepared for CAPT Mike Lilienthal, PhD, CPE, and funded by ASN (RDA) CHENG and the Modeling and Simulation Coordination Office (MSCO)

Proceedings of the third International Workshop of the IFIP WG5.7

Contents of the papers presented at the international workshop deal with the wide variety of new and computer-based techniques for production planning and control that has become available to the scientific and industrial world in the past few years: formal modeling techniques, artificial neural networks, autonomous agent theory, genetic algorithms, chaos theory, fuzzy logic, simulated annealing, tabu search, simulation and so on. The approach, while being scientifically rigorous, is focused on the applicability to industrial environment

A systematic literature review on physical internet containers : Empirical evidence and research opportunities

The Physical Internet is an emerging concept that seeks to improve the efficiency and sustainability of global logistics by creating a network under a common structure. Containers are a key tool for implementing this concept, as they enable the efficient and secure transport of goods along standardized hubs. This systematic literature review aims to identify and analyze existing research on the use of containers in the Physical Internet and their contributions to the efficiency and sustainability of global logistics. This review emphasizes the growing significance and empirical evidence supporting the usefulness and benefits of adopting container systems, including improved cargo optimization, logistics operations, and the sustainability of the logistics network. To solve difficulties like standardization, cost implementation, privacy, and integration of technology, more study is required. Regarding the methodology used, first a qualitative study of the articles is made, which will allow us to have a vision of the evolution that has taken place in recent years. Next, a study of the findings and conclusions will be made, which will allow for the classification of the research approaches and contributions. By giving a thorough overview, it provides insightful information for supply chain management, logistics, and other professionals. Furthermore, limitations and unanswered questions will be discussed in order to guide future studies with the identified research opportunities, emphasizing areas that need attention to progress this field’s research. In the last instance, these gaps offer chances to improve our comprehension and use of containers in the supply chain networ

Biodiversity and Ecosystem Informatics - BDEI - Planning Workshop on Biodiversity and Ecosystem Informatics for the Indian River Lagoon, Florida

This proposal solicits funding to organize and conduct a planning workshop that will establish and facilitate research on the informatics needed to address complex issues of biodiversity and ecosystem processes within the Indian River Lagoon. This workshop will provide the opportunity and resources for collaboration and discussion among scientists from diverse fields of biodiversity, ecological sciences, remote sensing, geographic information systems, computer science and intelligent systems. The topics to be discussed will include investigation of novel computational intelligence techniques for modeling, prediction, analysis and database management of the disparate and complex data for the Indian River Lagoon. The explicit products of the proposed workshop will be a white paper and technical report, a formal research agenda that incorporates informatics into existing and planned research, and preparation of a competitive proposal based on the recommendations and preliminary work defined by the workshop

Marshall Space Flight Center Research and Technology Report 2019

Today, our calling to explore is greater than ever before, and here at Marshall Space Flight Centerwe make human deep space exploration possible. A key goal for Artemis is demonstrating and perfecting capabilities on the Moon for technologies needed for humans to get to Mars. This years report features 10 of the Agencys 16 Technology Areas, and I am proud of Marshalls role in creating solutions for so many of these daunting technical challenges. Many of these projects will lead to sustainable in-space architecture for human space exploration that will allow us to travel to the Moon, on to Mars, and beyond. Others are developing new scientific instruments capable of providing an unprecedented glimpse into our universe. NASA has led the charge in space exploration for more than six decades, and through the Artemis program we will help build on our work in low Earth orbit and pave the way to the Moon and Mars. At Marshall, we leverage the skills and interest of the international community to conduct scientific research, develop and demonstrate technology, and train international crews to operate further from Earth for longer periods of time than ever before first at the lunar surface, then on to our next giant leap, human exploration of Mars. While each project in this report seeks to advance new technology and challenge conventions, it is important to recognize the diversity of activities and people supporting our mission. This report not only showcases the Centers capabilities and our partnerships, it also highlights the progress our people have achieved in the past year. These scientists, researchers and innovators are why Marshall and NASA will continue to be a leader in innovation, exploration, and discovery for years to come

Spatially Explicit Modelling and Optimisation of Bioenergy Supply-Chain Infrastructures

Bioenergy supply chains have the potential to deliver renewable low-carbon energy, increased energy security and diversification of agricultural markets. In comparison to fossil fuels, biomass feedstocks are characterised by low spatial-yield and bulk-energetic densities. Logistics are therefore a key factor in determining optimal locations for biomass utilisation, and a significant constraint on scales of deployment. Strategic planning of bioenergy implementation requires innovative, wholesystem modelling approaches which consider simultaneously both the technological and spatial configuration of the system. Furthermore, there exists a relatively short window of opportunity to explore the optimal configuration of bioenergy systems before they develop organically. Insights derived from such modelling approaches may be of vital importance in informing national and international policy as well as strategic decisions in industry. This thesis presents a spatially explicit modelling framework for the design and optimisation of bioenergy supply chain infrastructures. The framework integrates (i) spatial distributions of biomass supply, (ii) locations of energy demand, (iii) logistical flows, and (iv) technological economies of scale. A series of normative, minimum cost optimisation models are formulated as large mixed integer linear programming (MILP) problems. Model applications have focussed on Great Britain. Geographic Information System (GIS) tools have been used to generate a map of domestic biomass resources, existing infrastructure, and energy demands. A static-snapshot model has analysed the whole-system performance of integrated heat and power supply chains. Road, rail and ship transport of biomass have been examined, a range of alternative market structure scenarios characterised, and their impacts on the spatial configuration of cost-optimal infrastructures assessed. An innovative dynamic model formulation with endogenous technological learning has provided insight into mechanisms driving the spatial-dynamic evolution of the bioenergy infrastructure system. A general applicability of the framework to renewable energy systems modelling is recognised

Integrating Knowledge for River Basin Management: Progress in Thailand

Resource /Energy Economics and Policy,