scholarly journals COMPUTATIONAL TOOL FOR SELECTION AND RANKING OF PULL-TYPE FORAGE HARVESTERS

2021 ◽  
Vol 29 ◽  
pp. 129-137
Author(s):  
Daniel Duarte da Silveira ◽  
Marlon Soares Sigales ◽  
Ramón Justiniano Benítez Centurion ◽  
Ângelo Vieira dos Reis ◽  
Mauro Fernando Ferreira
Keyword(s):  
Decision Making ◽  
Fuel Consumption ◽  
Communication Channel ◽  
Market Demand ◽  
Computational Tool ◽  
Farm Price ◽  
Technical Specifications ◽  
Forage Harvester ◽  
Selection And Ranking

The variety of forage harvester models available on Brazilian market demand practical tools for selecting and ranking these equipments. The present study aimed at the elaboration of an algorithm capable of providing simple and objective criteria that assist in the decision making. The communication channel of the companies was used to obtain technical specifications and price of the equipment, which were tabulated in spreadsheets. The instructions for the manipulation of the obtained data were elaborated in the software R, being calculated ranks for the following requirements considering simulated information about a farm: price (COT), productivity and price relation (PROD.COT), fuel consumption (CONS), operational comfort (CONF), versatility (VERS) and overall (GERAL). We obtained information from 45 models belonging to 8 companies. The best machine in the overall rank got similar rank in the COT, PROD.COT and CONS ranks and worst rank for CONF. The algorithm established allowed the selection and ranking of the forage harvesters analyzed, providing simple, objective and easily interpreted criteria for the use of the farmers and the technicians who assist them.

Integrated Decision Making in Electric Vehicle and Charging Station Location Network Design

2015 ◽  
Vol 137 (6) ◽  
Author(s):  
Namwoo Kang ◽  
Fred M. Feinberg ◽  
Panos Y. Papalambros
Keyword(s):  
Decision Making ◽  
Business Model ◽  
Multidisciplinary Optimization ◽  
Time Range ◽  
Market Demand ◽  
Sequential Decision ◽  
Major Barrier ◽  
Charging Station ◽  
Range Anxiety ◽  
Integrated Decision Making

A major barrier in consumer adoption of electric vehicles (EVs) is “range anxiety,” the concern that the vehicle will run out of power at an inopportune time. Range anxiety is caused by the current relatively low electric-only operational range and sparse public charging station (CS) infrastructure. Range anxiety may be significantly mitigated if EV manufacturers and CS operators work in partnership using a cooperative business model to balance EV performance and CS coverage. This model is in contrast to a sequential decision-making model where manufacturers bring new EVs to the market first and CS operators decide on CS deployment given EV specifications and market demand. This paper proposes an integrated decision-making framework to assess profitability of a cooperative business model using a multidisciplinary optimization model that combines marketing, engineering, and operations considerations. This model is demonstrated in a case study involving battery EV design and direct current (DC) fast-CS location network in Southeast Michigan. The expected benefits can motive both government and private enterprise actions.

DNA Cryptography

2018 ◽  
pp. 703-728
Author(s):  
Pradipta Roy ◽  
Debarati Dey ◽  
Debashis De ◽  
Swati Sinha
Keyword(s):  
Data Transmission ◽  
Communication Channel ◽  
Personal Information ◽  
Public Communication ◽  
Secret Message ◽  
Sensitive Information ◽  
Computational Tool ◽  
Medical Report ◽  
Dna Cryptography ◽  
Random Nature

In today's world, sensitive information like secret message, financial transaction, medical report, personal information is transferred over public communication channel. Since the advancement of communication begins, data security becomes a massive problem. The increasing rate of eavesdropping over communication channel leads the introduction of cryptography algorithm for data transmission. Different traditional cryptographic technique is adopted worldwide for protected data transmission. The recent advancement on this field is DNA based cryptography. This chapter describes the application of DNA as computational tool after the exposure of its capability was discovered by Leonard M. Adleman in 1994. Its random nature also helps the cryptography algorithm to become unbreakable. Conventional cryptography methods are sometimes susceptible to attack by the intruder. Therefore the idea of using codon based DNA as a computational tool is used in this cryptography method as an alternative method that fetches new hope in communication technology.

DNA Cryptography

2016 ◽  
pp. 775-801
Author(s):  
Pradipta Roy ◽  
Debarati Dey ◽  
Debashis De ◽  
Swati Sinha
Keyword(s):  
Data Transmission ◽  
Communication Channel ◽  
Personal Information ◽  
Public Communication ◽  
Secret Message ◽  
Sensitive Information ◽  
Computational Tool ◽  
Medical Report ◽  
Dna Cryptography ◽  
Random Nature

In today's world, sensitive information like secret message, financial transaction, medical report, personal information is transferred over public communication channel. Since the advancement of communication begins, data security becomes a massive problem. The increasing rate of eavesdropping over communication channel leads the introduction of cryptography algorithm for data transmission. Different traditional cryptographic technique is adopted worldwide for protected data transmission. The recent advancement on this field is DNA based cryptography. This chapter describes the application of DNA as computational tool after the exposure of its capability was discovered by Leonard M. Adleman in 1994. Its random nature also helps the cryptography algorithm to become unbreakable. Conventional cryptography methods are sometimes susceptible to attack by the intruder. Therefore the idea of using codon based DNA as a computational tool is used in this cryptography method as an alternative method that fetches new hope in communication technology.

scholarly journals Reducing the Consumer Attitude–Behaviour Gap in Animal Welfare: The Potential Role of ‘Nudges’

Animals ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. 232 ◽  
Author(s):  
Belinda Vigors
Keyword(s):  
Decision Making ◽  
Social Norms ◽  
Animal Welfare ◽  
Self Control ◽  
Farm Animal ◽  
Farm Animals ◽  
Consumer Attitude ◽  
Choice Architecture ◽  
Market Demand ◽  
Farm Animal Welfare

Citizen concern for the welfare of farm animals is well documented. However, there is a notable gap between people saying they want improved farm animal welfare and how they actually behave as a consumer. This is known as the citizen–consumer attitude–behaviour gap. As improvements in farm animal welfare can be affected by market demand, the choices consumers make become important. This paper introduces the concept of ‘nudging’ and discusses how it could be applied to reduce the attitude–behaviour gap amongst consumers. By designing the choice environment to better reflect the behavioural biases known to impact human decision-making, ‘nudge’ tools function to prompt individuals to make choices that are aligned with their stated intentions. Four ‘nudge’ tools: self-nudges, choice architecture, social norms and pre-commitments are discussed. The behavioural rationales for their use are reviewed and examples of how they might be applied to animal welfare provided. Improved farm animal welfare arguably requires improved pro-welfare consumer behaviour. This paper highlights how this might be encouraged by: self-nudging the salience of an ethical self-image; altering the choice architecture to influence decision-making; articulating social norms to impact behaviour; and using pre-commitment devices to overcome self-control issues.

scholarly journals A Green Supply-Chain Decision Model for Energy-Saving Products That Accounts for Government Subsidies

2019 ◽  
Vol 11 (8) ◽  
pp. 2209 ◽  
Author(s):  
Jian Xue ◽  
Ruifeng Gong ◽  
Laijun Zhao ◽  
Xiaoqing Ji ◽  
Yan Xu
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Supply Chain ◽  
Energy Conservation ◽  
Social Welfare ◽  
Energy Saving ◽  
Revenue Sharing ◽  
Green Supply Chain ◽  
Market Demand ◽  
Government Subsidies

Government subsidies are a common policy adopted to promote energy conservation and emission reduction. The decision-making that occurs within the green supply chain for energy-saving products under government subsidies is an area of great academic interest and game theory is becoming a popular tool in such research. In this paper, we examined centralized and decentralized decision-making models for the green supply chain and a coordinated decision-making model for revenue-sharing contracts based on game theory. We studied the effects of government subsidies on retail prices, energy conservation levels, market demand, supply chain profits, and social welfare for energy-saving products. We then compared the effectiveness of the three models using a numerical example. Our results revealed the range of contract parameters for which manufacturer and retailer profits increase. Our results show that government subsidies can significantly improve social welfare and promote the improvement of energy-saving products. Centralized decision-making generates higher profits than decentralized decisions and government subsidies were positively correlated with the level of energy conservation, product prices, and market demand. Revenue sharing contract coordination decisions can coordinate the supply chain and achieve the same effect as centralized decisions.

Price and Carbon Emissions Level Decisions in a Two-Echelon Supply Chain: Insights from Carbon Labelling

2013 ◽  
Vol 572 ◽  
pp. 668-671
Author(s):  
Yong Hong Cheng ◽  
Zhong Kai Xiong ◽  
Yu Xiong
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Carbon Emissions ◽  
Environmental Awareness ◽  
Supply Chain Performance ◽  
Market Demand ◽  
Purchasing Behavior ◽  
Numerical Examples ◽  
Optimal Decisions ◽  
Initial Carbon

To analyze the effects of carbon labelling on firms production and marketing decisions, as well as consumers purchasing behavior, we consider a supply chain consisting of one manufacturer and one retailer and assume the market demand is both price-and carbon emissions level-sensitive, then the optimal decisions policies for pricing and carbon emissions level are discussed under decentralized and centralized decision-making. Interestingly, our results show that only when the initial carbon emissions level of the product is less than a certain threshold, as consumers environmental awareness increasing, the amount of carbon emissions per unit of output produced will decrease. On the contrary, the carbon emissions level will increase. Moreover, we found that when consumers environmental awareness maintains the same level, the centralized decision-making is more conducive to reduce carbon emissions and improve whole supply chain performance. Finally, some numerical examples are given to verify the research results.

scholarly journals The Optimum Output Quantity for Different Competitive Behaviors under a Fuzzy Decision Environment

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Hong-Xia Sun ◽  
Yu Li ◽  
Feng Wang
Keyword(s):  
Decision Making ◽  
Fuzzy Model ◽  
Market Demand ◽  
Fuzzy Decision ◽  
Proposed Model ◽  
Decision Environment ◽  
Fuzzy Parameter ◽  
Output Quantity ◽  
Total Market ◽  
Optimum Output

Due to the uncertainty of information and complexity of decision-making environment, the optimum output quantity is studied under a fuzzy decision environment. Firstly, the triangular intuitionistic fuzzy model is proposed. Secondly, the optimum output quantity is discussed for four patterns to market structure. Thirdly, the effect of fuzzy parameter on optimum output quantity and total market demand is discussed. Finally, a numerical example is given to illustrate the concrete application of the proposed model.

scholarly journals USING OF FUZZY LOGIC FOR DETERMINING THE APPROPRIATENESS OF PLANTING DIFFERENT AGRICULTURAL CROPS

AGROFOR ◽  
2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Bojan ĐURIN ◽  
Anita PTIČEK SIROČIĆ ◽  
Nikola SAKAČ ◽  
Marko ŠRAJBEK
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Food Production ◽  
Ranking And Selection ◽  
Agricultural Crop ◽  
Agricultural Crops ◽  
Environmental Criteria ◽  
The Many ◽  
Selection And Ranking ◽  
Selection Of

Selection of a particular agricultural crop for the food production is a complexproblem. This is usually conditioned not only by the financial claims, but also otherrequirements should be taken into the account, i.e. environmental criteria,sustainability, etc. Fuzzy Logicis one of the many appropriate tools/procedures forsolving such task(s).Such a procedure will be implemented within decision-makingalgorithm for the selection of an appropriate agricultural crop. The paper deals withthe implementation of the mentioned tool/procedure for selection and ranking ofthe particular sort of crops, regarding different decision-making structures. Withinthis, there is an intention to reduce all possible biases and subjectivities tominimum by using Fuzzy Logic. This will be applied with input parameters, whichare extracted and correlated with real requirements and conditions regarding actualneeds of the market and farmers. Along with the offered agricultural crops andpossibility of their selection, final ranking and selection of the most appropriatecrop can be supported for different possible scenarios (dry or wet period of theyear, accents on the financial, environmental of other criteria, available financialresources, market availability, etc.). Presented methodology will contribute to thefinal goal, which is systematic agricultural planting and sustainability of the foodproduction.

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