scholarly journals Substantiating the Logistics Chain Structure While Servicing the Flow of Requests for Road Transport Deliveries

2020 ◽  
Vol 12 (4) ◽  
pp. 1635
Author(s):  
Vitalii Naumov
Keyword(s):  
Selection Process ◽  
Road Transport ◽  
Chain Structure ◽  
Time Interval ◽  
The Sustainable Development ◽  
Transportation Services ◽  
Cargo Delivery ◽  
Solution Condition ◽  
Effective Choice ◽  
Selection Of

The selection of the delivery scheme is one of the most complicated problems and the results of its solution condition the sustainable development of the whole market of transportation services. Freight forwarders should consider numerous random parameters characterizing demand and technological processes to choose the proper structure of the logistics chain. The paper aims to propose a method for choosing the logistics chain structure, based on the analysis of the total expenses as a function from the demand parameters characterizing stochastic variables of the consignment weight, the delivery distance, and the time interval between the requests in the flow of queries for cargo delivery. Four basic logistics chain structures, widely used on road transport, are described to demonstrate the selection process. The areas of the most efficient use of the logistics chain structures can be defined for the flow of requests for cargo deliveries. The paper shows such areas on the example of goods delivery by automobile transport. Determining the areas of the most efficient use of the specific logistics chain structures contributes to the effective choice of correct delivery variants by freight forwarders.

scholarly journals Selection Process of Sustainable Indicators for the Algarve Region—OBSERVE Project

2019 ◽  
Vol 11 (2) ◽  
pp. 444 ◽  
Author(s):  
Fátima Farinha ◽  
Miguel Oliveira ◽  
Elisa Silva ◽  
Rui Lança ◽  
Manuel Pinheiro ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Online Survey ◽  
Selection Process ◽  
Economic Implications ◽  
The Sustainable Development ◽  
Economic Agents ◽  
Development Indicators ◽  
Engagement Process ◽  
Flow Of Information ◽  
Selection Of

The selection of indicators for the Observatory of Sustainability of the Algarve Region for Tourism (OBSERVE), poses challenges, namely which indicators are relevant to stakeholders and how to assure that information is available. To support the selection of the environmental, sociocultural, economic and institutional indicators, an engagement process was designed and applied, which included meetings with stakeholders, a workshop and an online survey. The results showed that both workshop and online surveys reflected, in general, similar opinions, thus allowing the selecting of the sustainable development indicators for the Algarve region. Additionally, the results showed that nearly 75% of the indicators can be obtained from national statistics and, therefore, can be used on the OBSERVE project, assuring a quick flow of information. As limitations, it is important to mention that the other 25% will need further development, in order to provide data for indicators, like carbon management and client satisfaction. With this approach, the observatory will survey and evaluate the sustainable development of the region (status and trends), based on indicators that answer to the strategic needs of system’s main users, with social and economic implications, i.e., public institutions, economic agents, tourists, local communities and residents.

scholarly journals Assessment and Selection of Technologies for the Sustainable Development of an R&D Center

2020 ◽  
Vol 12 (23) ◽  
pp. 10087
Author(s):  
Rafael Lizarralde ◽  
Jaione Ganzarain ◽  
Mikel Zubizarreta
Keyword(s):  
Decision Making ◽  
New Technologies ◽  
Selection Process ◽  
Multiple Criteria Decision Making ◽  
Industrial Applications ◽  
The Sustainable Development ◽  
Industrial Enterprises ◽  
Decision Making Model ◽  
Selection Of

The central role of R&D centers in the advancement of technology within industrial enterprises is undeniable and clearly affects their strategies, their competitiveness and their business sustainability. R&D centers assume responsibility for technology recognition, collection, acquisition, development and transition. Among their activities, the efficient choice of emerging technologies in the Technology Management Process is becoming a real challenge. In such heterogeneous scenarios, Multiple Criteria Decision Making (MCDM) models are commonly proposed as an appropriate decision-making approach. Multiple research works address the selection of particular technologies in industrial applications, but very few references can be found related to research institutions, and R&D centers in particular. Therefore, a decision-making model is provided in this study following the MIVES multi criteria method for the assessment of one or more technologies. The model is then applied to two case studies related to the selection process of new technologies at a Spanish R&D Center specialized in manufacturing.

IMPLEMENTASI PENENTUAN ARSITEKTUR MASJID MODERN DI ACEH MENGGUNAKAN PEMODELAN SISTEM CERDAS

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Masthura Hasan ◽  
T Iqbal Faridiansyah
Keyword(s):  
Fuzzy Inference System ◽  
Architectural Design ◽  
Fuzzy Inference ◽  
Intelligent System ◽  
Selection Process ◽  
System Modeling ◽  
Inference System ◽  
Normal Limits ◽  
Roof Structure ◽  
Selection Of

Mosque architectural design is based on Islamic culture as an approach to objects and products from the Islamic community by looking at their suitability and values and basic principles of Islam that explore more creative and innovative ideas. The purpose of this system is to help the team and the community in seeing the best mosque in the top order so that the system can be used as a reference for the team and the community. The variables used in the selection of modern mosques include facilities and infrastructure, building structure, roof structure, mosque area, level of security and facilities. The system model used is a fuzzy promethee model that is used for the modern mosque selection process. Fuzzy inference assessment is used to determine the value of each variable so that the value remains at normal limits. Fuzzy values will then be included in promethee assessment aspects. The highest promethee ranking results will be made a priority for the best mosque ranking. This fuzzy inference system and promethee system can help the management team and the community in determining the selection of modern mosques in aceh in accordance with modern mosque architecture. Intelligent System Modeling System In Determining Modern Mosque Architecture in the City of Aceh, this building will be web based so that all elements of society can see the best mosque in Aceh by being assessed by all elements of modern mosque architecture.Keywords: Fuzzy inference system, Promethe, Option of  Masjid

scholarly journals The Model of Vehicle and Route Selection for Energy Saving

2021 ◽  
Vol 13 (8) ◽  
pp. 4528
Author(s):  
Olga Lingaitienė ◽  
Juozas Merkevičius ◽  
Vida Davidavičienė
Keyword(s):  
Sustainable Development ◽  
Fuel Consumption ◽  
Motor Vehicles ◽  
The Sustainable Development ◽  
Supply Chain Efficiency ◽  
The World Bank ◽  
Cargo Delivery ◽  
Efficiency And Effectiveness ◽  
The Cost ◽  
Source Use

The World Bank, United Nations, the Organization for Economic Cooperation and Development, and others are in line with the governments of countries that are strongly interested in the sustainable development of countries, regions, and enterprises. One of the aspects that affects the indicators and prospects of sustainable development is the efficiency of energy source use. Nationwide reductions in the greenhouse gas emissions of motor vehicles could have a direct effect on ambient temperature and reducing the effects of global warming, which can affect future environmental, societal, and economic development. Significant reductions in fuel consumption can be achieved by increasing the efficiency of use, and the performance, of current cargo vehicles. This aspect is directly related to cargo delivery systems and supply chain efficiency and effectiveness. The article solves the problem of increasing the effectiveness of cargo delivery and proposes a model that would minimize transportation costs that are directly related to fuel consumption, shortening transportation time. The model addresses the problem of a lack of models evaluating the efficiency of cargo to Lithuania that is using several different modes of transportation. For the solution to this problem, the article examines the complexity of the rational use of land and water vehicles depending on the type of cargo transported, the technical capabilities of the vehicles (loading, speed, environmental pollution, fuel consumption, etc.), and the type (cars, railways, ships). The novelty of the findings is based on the availability to select the most appropriate vehicles, on a case-by-case basis, from the available options, depending on their environmental performance and energy efficiency. This model, later in this article, is used for calculations of Lithuanian companies for selecting the most rational vehicle by identifying the most appropriate route, as well as assessing the dynamics of the economic and physical indicators. The model allows for creating dependencies between the main indicators characterizing the transport process—the cost, the time of transport, and the safety, taking into account the dynamics of economic and physical indicators, that lead to a very important issue—reducing the amount of energy required to provide products and services.

scholarly journals Optimising the selection of food items for FFQs using Mixed Integer Linear Programming

2014 ◽  
Vol 18 (1) ◽  
pp. 68-74 ◽  
Author(s):  
Johanna C Gerdessen ◽  
Olga W Souverein ◽  
Pieter van ‘t Veer ◽  
Jeanne HM de Vries
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Selection Process ◽  
Saturated Fat ◽  
Mixed Integer ◽  
Monounsaturated Fat ◽  
Food Items ◽  
Milp Model ◽  
Selection Of

AbstractObjectiveTo support the selection of food items for FFQs in such a way that the amount of information on all relevant nutrients is maximised while the food list is as short as possible.DesignSelection of the most informative food items to be included in FFQs was modelled as a Mixed Integer Linear Programming (MILP) model. The methodology was demonstrated for an FFQ with interest in energy, total protein, total fat, saturated fat, monounsaturated fat, polyunsaturated fat, total carbohydrates, mono- and disaccharides, dietary fibre and potassium.ResultsThe food lists generated by the MILP model have good performance in terms of length, coverage and R2 (explained variance) of all nutrients. MILP-generated food lists were 32–40 % shorter than a benchmark food list, whereas their quality in terms of R2 was similar to that of the benchmark.ConclusionsThe results suggest that the MILP model makes the selection process faster, more standardised and transparent, and is especially helpful in coping with multiple nutrients. The complexity of the method does not increase with increasing number of nutrients. The generated food lists appear either shorter or provide more information than a food list generated without the MILP model.

Functional and Constructive Optimization of a Serial-Modular Industrial Robot Implemented within a Single Purpose Flexible Manufacturing Cell

2012 ◽  
Vol 186 ◽  
pp. 239-246
Author(s):  
Silviu Mihai Petrişor ◽  
Ghiţă Bârsan
Keyword(s):  
Flexible Manufacturing ◽  
Degrees Of Freedom ◽  
Industrial Robot ◽  
Kinematic Chain ◽  
Chain Structure ◽  
Calculation Algorithm ◽  
Flexible Manufacturing Cell ◽  
Manufacturing Cell ◽  
Lagrangian Equations ◽  
Selection Of

The authors of this paper aim to highlight the basic design of a flexible manufacturing cell destined for the final processing of water radiators used for AAVs, cell serviced by a serial modular industrial robot possessing in its kinematic chain structure three degrees of freedom, RRT SIL type. The paper outlines the concept, calculation and design of the (MRB) rotation module at the studied industrial robot’s base and of the (MT) translation module of the prehension device attached to the robotic arm. Depending on the organological elements that are part of the MRB rotation module and based on a rigorous dynamic study performed on robotic modules, modeling conducted with the help of Lagrangian equations of the second kind, a dynamic-organological calculation algorithm was obtained for the selection of the appropriate driving servomotor necessary to putting the rotation movable system into service. The last part of the paper deals with the flexible manufacturing cell, together with the calculations related to profitability, economy and investment return duration, following the implementation of the RRT SIL-type industrial robot.

Research on Material Selection with Multi-Attribute Decision Method and G1 Method

2014 ◽  
Vol 952 ◽  
pp. 20-24 ◽  
Author(s):  
Xue Jun Xie
Keyword(s):  
Material Selection ◽  
Selection Process ◽  
Selection Problem ◽  
Topsis Method ◽  
Attribute Weight ◽  
Multi Attribute Decision Making ◽  
Judgment Matrix ◽  
Optimal Material ◽  
Selection Of ◽  
Better Than

The selection of an optimal material is an important aspect of design for mechanical, electrical, thermal, chemical or other application. Many factors (attributes) need to be considered in material selection process, and thus material selection problem is a multi-attribute decision making (MADM) problem. This paper proposes a new MADM method for material selection problem. G1 method does not need to test consistency of the judgment matrix. Thus it is better than AHP. In this paper, firstly, we use the G1 method to determine the attribute weight. Then TOPSIS method is used to calculate the closeness of the candidate materials with respect positive solution. A practical material selection case is used to demonstrate the effectiveness and feasibility of the proposed method.

Does Audit Committee Disclosure of Partner-Selection Involvement Signal Greater Audit Quality?

2021 ◽  
Author(s):  
Jimmy F. Downes ◽  
Michelle A. Draeger ◽  
Abbie E. Sadler
Keyword(s):  
Audit Committee ◽  
Audit Quality ◽  
Selection Process ◽  
Partner Selection ◽  
Analyst Forecasts ◽  
Securities And Exchange Commission ◽  
Audit Committees ◽  
Voluntary Disclosures ◽  
Level Of Involvement ◽  
Selection Of

We investigate whether audit committees use voluntary disclosures to signal the committees’ higher level of involvement in the audit partner-selection process, which contributes to higher levels of audit quality. Audit committees more involved in the partner-selection process should ensure the selection of a more rigorous partner. We test this conjecture by first identifying partners new to audit engagements. We then compare audit quality for companies whose audit committees disclose involvement in the selection of the new partner to those without this disclosure. We find that this disclosure is positively associated with audit quality (measured using discretionary accruals, misstatements, and meeting consensus analyst forecasts by a very small margin). Our results are more salient for complex companies and those with powerful audit committees. These findings highlight that audit committees use their disclosures to signal involvement in the partner-selection process and are relevant to the Securities and Exchange Commission.

MANIFESTATION OF TRANSGRESSION BY MAIN QUANTITATIVE CHARACTERISTICS OF WINTER TRITICAL PRODUCTIVITY IN F2 HYBRID POPULATIONS

2021 ◽  
Vol 1 ◽  
pp. 3-7
Author(s):  
В. Д. Тромсюк ◽  
◽  
В. Д. Бугайов ◽  
Keyword(s):  
Maximum Degree ◽  
Geographical Origin ◽  
Selection Process ◽  
Diallel Analysis ◽  
Grain Weight ◽  
Maximum Frequency ◽  
Winter Triticale ◽  
Research Material ◽  
Quantitative Characteristics ◽  
Selection Of

The research was conducted in 2014-2017 in the department of selection of fodder, grain ears, and industrial crops in the fields of scientific crop rotation of the Institute of Fodder and Agriculture of Podillya NAAS of Ukraine. A collection of 114 hexaploid specimens of different ecological and geographical origins was used as research material. Six varieties of winter triticale of different ecological and geographical origin and the manifestation of valuable economic features were used in crosses according to the scheme of full diallel analysis: Polovetske (UA0602494), Amos (UA0602627) originating from Ukraine; Kapryz (UA0601781), Tsekad 90 (UA0602066) - Russia; Dubrava (UA0602222) - Belarus and Pawo (UA0602555) - Poland. Only the best plants, which did not lag in growth and were normally developed, were selected for hybridization. The obtained generation F0 was sown in 2016, and generation F1 – 2017 manually in an experimental field with the same depth, which provides plants with the same area of nutrition. After full maturation, the plants were also collected manually in sheaves, structural analysis was performed on the main indicators of productivity. The frequency and degree of manifestation of positive transgressions in hybrids of the second generation (F2) of winter triticale were evaluated based on productivity: productive bushiness, number and weight of ear grains and grain weight from the plant. The best hybrids by degree and frequency of manifestation of positive transgression are selected. The degree of transgressions in productive bushiness averaged 65.3%, frequency - 43%; number of grains in the main ear - 7.4%, frequency - 15.3%; weight of grain in the ear - 13.8% at a frequency of 27, 7%; weight of grain from the plant - 91.5% with a transgression frequency of 52.7%. The best hybrid combinations of winter triticale on the basis of "productive bushiness" - Polovtsian / Caprice and Dubrava / Polovtsian (Tc = 100%), the maximum frequency of transgressions on this basis - hybrids Polovtsian / Caprice / Pawos and Pawo are selected and offered for use in the selection process. TC = 60); "Number of grains from the ear" - the maximum degree of transgressions was found in the hybrid Pawo / Polovtsian (Tc = 18.1%), the maximum frequency - in the hybrid Caprich / Pawo (Tch = 40); "Ear grain mass" - Pawo / Amos (Tc = 37.0%), the highest frequency of transgressions - in hybrids Amos / Dubrava and Kaprikh / Pawo (Tch = 50); "Grain weight from the plant" - Polovtsian / Amos (Tc = 37.0%), the frequency of transgressions - hybrids Polovtsian / Amos and Polovtsian / Caprice (Tc = 85%).

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