scholarly journals A machine learning approach for predictive warehouse design

2021 ◽  
Author(s):  
Alessandro Tufano ◽  
Riccardo Accorsi ◽  
Riccardo Manzini
Keyword(s):  
Material Handling ◽  
Business Processes ◽  
Storage System ◽  
Third Party ◽  
Warehouse Management ◽  
Storage Allocation ◽  
Automotive Manufacturing ◽  
Industrial Sectors ◽  
Warehouse Design ◽  
The Impact

AbstractWarehouse management systems (WMS) track warehousing and picking operations, generating a huge volumes of data quantified in millions to billions of records. Logistic operators incur significant costs to maintain these IT systems, without actively mining the collected data to monitor their business processes, smooth the warehousing flows, and support the strategic decisions. This study explores the impact of tracing data beyond the simple traceability purpose. We aim at supporting the strategic design of a warehousing system by training classifiers that can predict the storage technology (ST), the material handling system (MHS), the storage allocation strategy (SAS), and the picking policy (PP) of a storage system. We introduce the definition of a learning table, whose attributes are benchmarking metrics applicable to any storage system. Then, we investigate how the availability of data in the warehouse management system (i.e. varying the number of attributes of the learning table) affects the accuracy of the predictions. To validate the approach, we illustrate a generalisable case study which collects data from sixteen different real companies belonging to different industrial sectors (automotive, manufacturing, food and beverage, cosmetics and publishing) and different players (distribution centres and third-party logistic providers). The benchmarking metrics are applied and used to generate learning tables with varying number of attributes. A bunch of classifiers is used to identify the crucial input data attributes in the prediction of ST, MHS, SAS, and PP. The managerial relevance of the data-driven methodology for warehouse design is showcased for 3PL providers experiencing a fast rotation of the SKUs stored in their storage systems.

scholarly journals Future Hydrogen Markets for Transportation and Industry: The Impact of CO2 Taxes

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4707 ◽  
Author(s):  
Simonas Cerniauskas ◽  
Thomas Grube ◽  
Aaron Praktiknjo ◽  
Detlef Stolten ◽  
Martin Robinius
Keyword(s):  
Supply Chain ◽  
Material Handling ◽  
Carbon Tax ◽  
Industrial Sector ◽  
Infrastructure Development ◽  
Hydrogen Distribution ◽  
Passenger Cars ◽  
Industrial Sectors ◽  
Hydrogen Supply ◽  
The Impact

The technological lock-in of the transportation and industrial sector can be largely attributed to the limited availability of alternative fuel infrastructures. Herein, a countrywide supply chain analysis of Germany, spanning until 2050, is applied to investigate promising infrastructure development pathways and associated hydrogen distribution costs for each analyzed hydrogen market. Analyzed supply chain pathways include seasonal storage to balance fluctuating renewable power generation with necessary purification, as well as trailer- and pipeline-based hydrogen delivery. The analysis encompasses green hydrogen feedstock in the chemical industry and fuel cell-based mobility applications, such as local buses, non-electrified regional trains, material handling vehicles, and trucks, as well as passenger cars. Our results indicate that the utilization of low-cost, long-term storage and improved refueling station utilization have the highest impact during the market introduction phase. We find that public transport and captive fleets offer a cost-efficient countrywide renewable hydrogen supply roll-out option. Furthermore, we show that, at comparable effective carbon tax resulting from the current energy tax rates in Germany, hydrogen is cost-competitive in the transportation sector by the year 2025. Moreover, we show that sector-specific CO2 taxes are required to provide a cost-competitive green hydrogen supply in both the transportation and industrial sectors.

Individual tools for improving the automated warehouse management system

2020 ◽  
pp. 51-59
Author(s):  
V.A. Brykin ◽  
Keyword(s):  
Management Information System ◽  
Management System ◽  
Business Processes ◽  
Human Factor ◽  
Warehouse Management ◽  
Management Information ◽  
Additional Advantage ◽  
Warehouse Management System ◽  
Effective Organization ◽  
The Impact

The key to developing and increasing the competitiveness of modern logistics companies is the use of an automated warehouse management information system. The implementation of this system allows several times to increase the productivity and return of the warehouse complex, both due to the rational use of warehouse space, and due to the effective organization of warehouse activities and optimization of business processes at each stage of the logistics cycle. Well-designed processes for developing regulations and standards for technological operations and business process modeling, as well as more advanced automatic calculation tools included in the system, are of great importance. An additional advantage of using WMS technologies is the minimization of paper processing and the ability to track warehouse processes in real time. The introduction of the WMS warehouse management system ensures the growth of the company's development due to a significant technological leap, reducing the impact of the human factor and improving the efficiency of using warehouse space. As a result, the entire warehouse logistics is being rationalized.

scholarly journals Future Hydrogen Markets for Transport and Industry - The Impact of CO2 Taxes

2019 ◽  
Author(s):  
Simonas Cerniauskas ◽  
Thomas Grube ◽  
Aaron Praktiknjo ◽  
Detlef Stolten ◽  
Martin Robinius
Keyword(s):  
Supply Chain ◽  
Material Handling ◽  
Carbon Tax ◽  
Low Cost ◽  
Industrial Sector ◽  
Infrastructure Development ◽  
Hydrogen Distribution ◽  
Industrial Sectors ◽  
Hydrogen Supply ◽  
The Impact

The technological lock-in of the transportation and industrial sector can be largely attributed to the limited availability of alternative fuel infrastructures. Herein, a countrywide supply chain analysis of Germany, spanning until 2050, is applied to investigate promising infrastructure development pathways and associated hydrogen distribution costs for each analyzed hydrogen market. Analyzed supply chain pathways include seasonal storage to balance fluctuating renewable power generation with necessary purification, as well as trailer- and pipeline-based hydrogen delivery. The analysis encompasses green hydrogen feedstock in the chemical industry and fuel cell-based mobility applications, such as local buses, non-electrified regional trains, material handling vehicles, and trucks, as well as passenger cars.Our results indicate that the utilization of low-cost, long-term storage and improved refueling station utilization have the highest impact during the market introduction phase. We find that public transport and captive fleets offer a cost-efficient countrywide renewable hydrogen supply roll-out option. Furthermore, we show that, at comparable effective carbon tax resulting from the current energy tax rates in Germany, hydrogen is cost-competitive in the transportation sector by the year 2025. Furthermore, we show that sector-specific CO2 taxes are required to provide cost-competitive green hydrogen supply in both the transportation and industrial sectors.

Six-Sigma Challenges in Services With Human-Based Data: An Investigative Case Study for Clients’ Satisfaction in Gas Company

2019 ◽  
Author(s):  
Mohammad Pourgol-Mohamad
Keyword(s):  
Customer Satisfaction ◽  
Six Sigma ◽  
Business Processes ◽  
Industrial Sector ◽  
Human Data ◽  
Industrial Sectors ◽  
Data Limitations ◽  
Six Sigma Methodology ◽  
The Impact

Abstract Improvement of business processes, increasing customer satisfaction, and reducing organizational costs are important issues that institutions deal with. In this context, six sigma methodology has been considered as a systematic approach to achieve these goals by many organizations. In recent years, non-industrial sectors, where human data are involved, have also applied this technique to improve their processes quality. For application of six sigma procedure for non-industrial issues, there are several challenges that are not encountered in the conventional implementation of Six Sigma procedure. Most of these challenges are experienced on gathering the human (operators, experts) expressed data required for the six sigma projects on the phase of measurement and analysis. The challenges identification and analysis give the ability to address them and provide practical solutions. In this study, in addition to different stages of the Six Sigma methodology, its implementation has been investigated in the non-industrial sector in the DMAIC phases. The challenges dealt with in this research include the impact of external factors on human data, limitations in the design of experiments for human data, qualitative data and discrete data as well as one-sided data. Also, considering a case study on the implementation of six sigma methodology to enhance customer satisfaction in an East Azerbaijan Gas company, strategies are presented for overcoming these obstacles.

scholarly journals Industrial Development in the South of Russia in Conditions of COVID-19 Crisis

2021 ◽  
pp. 135-144
Author(s):  
Olga Chernova ◽  
Keyword(s):  
Economic Growth ◽  
Industrial Production ◽  
Industrial Development ◽  
Business Processes ◽  
Import Substitution ◽  
Spare Parts ◽  
The South ◽  
Low Level ◽  
Industrial Sectors ◽  
The Impact

The coronavirus pandemic caused significant damage to the economy of the regions. The comprehension of the impact of pandemic on industrial development of the territory is the goal of many scientific studies. The purpose of this article is to identify trends in the development of certain industrial sectors in the South of Russia and to suggest managerial measures arising from the experience of the COVID-19 pandemic. The study was founded on monitoring data from the Federal Service for State Statistics of Russia. The object of the research was the old industrial regions in the South of Russia. During the study, it was determined that at the beginning of the pandemic, the economy of the regions under analysis was characterized by a low potential for innovative development and a low level of return on assets. With a high demand for digital technologies, they have become most widespread in the automation of internal business processes of enterprises. The impact of the COVID-19 crisis on individual sectors of industry turned out to be multidirectional. The most affected industrial sector was oil production. The economic growth was demonstrated by enterprises of agricultural engineering, metallurgy and a number of others. It is shown that the recovery of industrial production is complicated by a low level of development of its material and technical basis; high import dependence of production on components, raw materials, spare parts; high competition from foreign market players; shortage of human capital. It is concluded that industrial ecosystem structures are the drivers of economic growth in the conditions of the pandemic. Management recommendations which are aimed at the development of industrial ecosystems are provided. They are focused on the environmental component of industrial production, development of cooperative business interactions to maintain the sustainability of the supply chain, digitalization of business processes with the simultaneous development of smart competencies of personnel, import substitution production and focus on the domestic market.

The impact of digitalization on business processes: case study: Kosovo SMEs

2018 ◽  
Author(s):  
Ylber Limani ◽  
Edmond Hajrizi ◽  
Rina Sadriu
Keyword(s):  
Business Processes ◽  
The Impact

Influence of social networks on business processes’ development

2020 ◽  
Vol 19 (12) ◽  
pp. 2225-2252
Author(s):  
E.V. Popov ◽  
V.L. Simonova ◽  
O.V. Komarova ◽  
S.S. Kaigorodova
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Business Models ◽  
Business Processes ◽  
Digital Economy ◽  
Theoretical Understanding ◽  
Sales Channels ◽  
A Value ◽  
The Impact

Subject. The emergence of new ways of interaction between sellers and buyers, the formation of new sales channels and product promotion based on the use of digital economy tools is at the heart of improving the business processes. Social networks became a tool for development; their rapid growth necessitates theoretical understanding and identification of potential application in enterprise's business process digitalization. Objectives. We explore the role of social media in the digitalization of business processes, systematize the impact of social networks on business processes of enterprises in the digital economy. Methods. The theoretical and methodological analysis of social networks as a tool for digitalization of company's business processes rests on the content analysis of domestic and foreign scientific studies, comparison, generalization and systematization. Results. We highlight the key effects of the impact of social networks on the business processes of the company; show that the digitalization of business processes should be considered in the context of a value-based approach, aimed at creating a value through the algorithmization of company operations. We determine that social networks are one of the most important tools for digitalization of company's business processes, as they have a high organizational and management potential. We also systematize the effects of social media on company's business processes. Conclusions. We present theoretical provisions of the impact of social networks on business processes of enterprises, which will enable to model and organize ideas about the development of digital ecosystems and the formation of business models.

Mathematical models forecasting the transformation of the tax path of large russian companies

2019 ◽  
Vol 5 (3) ◽  
pp. 193-203
Author(s):  
Kristina A. Bannova ◽  
Nurken E. Aktaev ◽  
Yulia G. Tyurina
Keyword(s):  
Information And Communication Technologies ◽  
Business Processes ◽  
Digital Economy ◽  
The State ◽  
Russian Society ◽  
Financial Flows ◽  
Business Entities ◽  
Object Of Study ◽  
Tax Changes ◽  
The Impact

Digital technologies have changed the relationship between the society and business entities, taxpayers and the state. Ceteris paribus, the ability to effectively manage financial flows and make administrative decisions depends on the correct and established interaction between the state and taxpayers. This study aims to form and develop a taxpayer’s understanding of the digital age with all its features and opportunities for information and communication technologies, including mathematical modeling methods that form the basis of the digital economy for building and sustaining business development, improving the systemic vision of business processes. The research hypothesis is that the further development of economic entities management in the digital context, as well as the coordination of these entities’ interests, is possible only in the partnership of the key economic participants, with the taxpayer at the forefront. That will allow identifying the areas for improving tax trajectories. Using polynomial approximation, the authors have obtained the models of tax trajectories of companies that allow predicting tax burden. The data for approximations are obtained using the previously constructed mathematical model of the optimal tax path. The main input data of the model are fixed assets and human resources, the totality of which form the production function. The analysis of the transformation of tax paths shows ways for achieving a balance of interests between both the state and the taxpayers. Finding this balance will help to overcome the crisis of confidence in the authorities, the development of adaptability and creativity of Russian society to new tax changes. A number of parameters determines the scale of this task. They include the complexity of the object of study, the long-term and multi-aspect nature of the impact which modeling the digital economy has on adaptation to the new digital realities of the state and taxpayers, as well as the absence of significant analogues of the solution to this problem in global and Russian economics.

scholarly journals Review: Impacts of shade on cattle well-being in the beef supply chain

2020 ◽  
Author(s):  
Lily N Edwards-Callaway ◽  
M Caitlin Cramer ◽  
Caitlin N Cadaret ◽  
Elizabeth J Bigler ◽  
Terry E Engle ◽  
...  
Keyword(s):  
Supply Chain ◽  
Heat Stress ◽  
Beef Cattle ◽  
Production Systems ◽  
Construction Materials ◽  
Well Being ◽  
Third Party ◽  
Ambient Temperatures ◽  
Stress Susceptibility ◽  
The Impact

ABSTRACT Shade is a mechanism to reduce heat load providing cattle with an environment supportive of their welfare needs. Although heat stress has been extensively reviewed, researched, and addressed in dairy production systems, it has not been investigated in the same manner in the beef cattle supply chain. Like all animals, beef cattle are susceptible to heat stress if they are unable to dissipate heat during times of elevated ambient temperatures. There are many factors that impact heat stress susceptibility in beef cattle throughout the different supply chain sectors, many of which relate to the production system, i.e. availability of shade, microclimate of environment, and nutrition management. The results from studies evaluating the effects of shade on production and welfare are difficult to compare due to variation in structural design, construction materials used, height, shape, and area of shade provided. Additionally, depending on operation location, shade may or may not be beneficial during all times of the year, which can influence the decision to make shade a permanent part of management systems. Shade has been shown to lessen the physiologic response of cattle to heat stress. Shaded cattle exhibit lower respiration rates, body temperatures, and panting scores compared to un-shaded cattle in weather that increases the risk of heat stress. Results from studies investigating the provision of shade indicate that cattle seek shade in hot weather. The impact of shade on behavioral patterns is inconsistent in the current body of research, some studies indicating shade provision impacts behavior and other studies reporting no difference between shaded and un-shaded groups. Analysis of performance and carcass characteristics across feedlot studies demonstrated that shaded cattle had increased ADG, improved feed efficiency, HCW, and dressing percentage when compared to cattle without shade. Despite the documented benefits of shade, current industry statistics, although severely limited in scope, indicate low shade implementation rates in feedlots and data in other supply chain sectors do not exist. Industry guidelines and third party on-farm certification programs articulate the critical need for protection from extreme weather but are not consistent in providing specific recommendations and requirements. Future efforts should include: updated economic analyses of cost versus benefit of shade implementation, exploration of producer perspectives and needs relative to shade, consideration of shade impacts in the cow-calf and slaughter plant segments of the supply chain, and integration of indicators of affective (mental) state and preference in research studies to enhance the holistic assessment of cattle welfare.

scholarly journals Life Cycle Assessment of an Innovative Hybrid Energy Storage System for Residential Buildings in Continental Climates

2021 ◽  
Vol 11 (9) ◽  
pp. 3820
Author(s):  
Noelia Llantoy ◽  
Gabriel Zsembinszki ◽  
Valeria Palomba ◽  
Andrea Frazzica ◽  
Mattia Dallapiccola ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Residential Buildings ◽  
Storage System ◽  
Energy Storage System ◽  
Hot Water ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Innovative System ◽  
The Impact

With the aim of contributing to achieving the decarbonization of the energy sector, the environmental impact of an innovative system to produce heating and domestic hot water for heating demand-dominated climates is assessed is evaluated. The evaluation is conducted using the life cycle assessment (LCA) methodology and the ReCiPe and IPCC GWP indicators for the manufacturing and operation stages, and comparing the system to a reference one. Results show that the innovative system has a lower overall impact than the reference one. Moreover, a parametric study to evaluate the impact of the refrigerant is carried out, showing that the impact of the overall systems is not affected if the amount of refrigerant or the impact of refrigerant is increased.

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