scholarly journals Agricultural Model for Allocation of Crops Using Pollination Intelligence Method

2020 ◽  
Vol 2020 ◽  
pp. 1-6 ◽  
Author(s):  
C. N. Ejieji ◽  
A. E. Akinsunmade
Keyword(s):  
Decision Making ◽  
Iterative Scheme ◽  
Market Price ◽  
New Class ◽  
Intelligence Algorithm ◽  
Land Using

An agricultural model for allocation of crops is considered in this work using Pollination Intelligence Method. The model was constructed to solve farmer’s decision making in allocating crops to a piece of land using market price, known yield of crops, cost incurred during planting, and the total amount of land available. A new class of metaheuristic method called Flower Pollinated Algorithm is also presented in this work to solve the designed model. An improved version of the Flower Pollinated Algorithm called Pollination Intelligence Algorithm using an iterative scheme to override the switch parameter in Flower Pollinated Algorithm is also presented and used in solving the designed model. A case study of a farmer in Ife, Osun State, Nigeria, was used to implement the model, and the results obtained suggested that instead of allocating crops to land randomly based on farmer’s intuition, cost of planting, yield of crops, and market price were factors that must be considered by farmers for optimal profit before planting crops.

scholarly journals Conditional-Robust-Profit-Based Optimization Model for Electricity Retailers with Shiftable Demand

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1308 ◽  
Author(s):  
Qi Zhang ◽  
Shaohua Zhang ◽  
Xian Wang ◽  
Xue Li ◽  
Lei Wu
Keyword(s):  
Decision Making ◽  
Optimization Model ◽  
Market Price ◽  
Electricity Consumption ◽  
Risk Averse ◽  
Wholesale Market ◽  
Trade Off ◽  
Incentive Strategies ◽  
Procurement Strategy

This paper investigates the problem of how to deploy customers’ shiftable load (SL) for electricity retailers’ risk management under uncertainty of the day-ahead (DA) wholesale market price. The robust profit (RP) and the conditional robust profit (CRP) are introduced for a risk-averse retailer’s risk-reward trade-off analysis in its decision-making of electricity procurement from various options. A CRP-based bi-level optimization model is proposed for the risk-averse retailer to determine its electricity procurement strategy taking into consideration customers’ shiftable load. In the upper problem, the retailer decides its electricity procurement from various options and the SL incentive prices to maximize its CRP under a given confidence level, and in the lower problem, the customers shift their load according to the SL incentive prices to minimize their comprehensive costs including the discomfort cost caused by rescheduling electricity consumption. Finally, a case study is used to verify the effectiveness of this model. It is shown that the retailer can achieve larger profit and less risk by utilizing customers’ SL and the retailer’s risk-aversion level has an important impact on its electricity procurement and SL incentive strategies.

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

Creating autonomous learners in the teaching of English as a second language (ESL) in Zimbabwean secondary schools : a reality or a myth?

2020 ◽  
Vol 1 (3) ◽  
pp. 103-132
Author(s):  
Rungamirai Matiure ◽  
Erick Nyoni
Keyword(s):  
Decision Making ◽  
Second Language ◽  
Multiple Case Study ◽  
Document Analysis ◽  
Learner Autonomy ◽  
Case Study Design ◽  
Midlands Province ◽  
Multiple Case ◽  
Comprehensive Framework

This study explored the utility of the learner autonomy concept in the Zimbabwean O Level English as a Second Language (ESL) classroom focusing on three Gweru urban high schools of the Midlands Province. The researchers intended to establish whether learner autonomy was a reality or just a myth in Zimbabwean classrooms. A qualitative multiple case study design was applied focusing on teaching strategies, availability of resources, challenges faced and ways of optimising it. Questionnaires and document analysis were used for data collection. The findings revealed that the concept did not manifest in explicit terms, the learners did not participate in decision making, and the teachers were not adequately prepared to administer autonomous processes with students. For it to be a reality, the Education Ministry is recommended to establish a comprehensive framework of how autonomous learning should be implemented. Teacher training should explicitly focus on how to develop autonomous learners. Teachers ought to be flexible enough to accommodate learners' contributions towards their learning.

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