scholarly journals When Less (Potential Demand) Is More (Revenue): Asymmetric Bidding Capacities in Divisible Good Auctions

2006 ◽  
Vol 10 (3) ◽  
pp. 389-416 ◽  
Author(s):  
Orly Sade ◽  
Charles Schnitzlein ◽  
Jaime F. Zender
Keyword(s):  
Potential Demand ◽  
Divisible Good Auctions

Power Generation for India with Higher Efficiency

2018 ◽  
Vol 6 (7) ◽  
pp. 267
Author(s):  
Umeshkannan P ◽  
Muthurajan KG
Keyword(s):  
Power Generation ◽  
Objective Function ◽  
Fossil Fuels ◽  
Programming Model ◽  
Developed Countries ◽  
Power Requirement ◽  
Average Efficiency ◽  
Potential Demand ◽  
The Developed Countries ◽  
Developed Nations

The developed countries are consuming more amount of energy in all forms including electricity continuously with advanced technologies.  Developing  nation’s  energy usage trend rises quickly but very less in comparison with their population and  their  method of generating power is not  seems  to  be  as  advanced  as  developed  nations. The   objective   function   of   this   linear   programming model is to maximize the average efficiency of power generation inIndia for 2020 by giving preference to energy efficient technologies. This model is subjected to various constraints like potential, demand, running cost and Hydrogen / Carbon ratio, isolated load, emission and already installed capacities. Tora package is used to solve this linear program. Coal,  Gas,  Hydro  and  Nuclear  sources can are  supply around 87 %  of  power  requirement .  It’s concluded that we can produce power  at  overall  efficiency  of  37%  while  meeting  a  huge demand  of  13,00,000  GWh  of  electricity.  The objective function shows the scenario of highaverage efficiency with presence of 9% renewables. Maximum value   is   restricted   by   low   renewable   source’s efficiencies, emission constraints on fossil fuels and cost restriction on some of efficient technologies. This    model    shows    that    maximum    18%    of    total requirement   can   be   met   by   renewable itself which reduces average efficiency to 35.8%.   Improving technologies  of  renewable  sources  and  necessary  capacity addition  to  them in  regular  interval  will  enhance  their  role and existence against fossil fuels in future. The work involves conceptualizing, modeling, gathering information for data’s to be used in model for problem solving and presenting different scenarios for same objective.

Potential of Islamic finance: A survey of Tunisian Northwest companies

2017 ◽  
Vol 5 (2) ◽  
pp. 28
Author(s):  
Rym Ammar Ayachi ◽  
Dhafer Saidane ◽  
Fayçal Mansouric
Keyword(s):  
Financial Institution ◽  
Islamic Finance ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Finance Development ◽  
Negative Effect ◽  
Survey Results ◽  
Potential Demand ◽  
Northwest Region ◽  
Do So

The present paper aims to assess the Islamic products potential demand for entrepreneurs in the Tunisian Northwest region. In order to do so, we developed a questionnaire which was sent to these entrepreneurs. The survey results show that the latter perceive Islamic Finance as a seductive phenomenon. However, its development appears to be difficult. Indeed, according to the survey results, the lack of knowledge may impede the expansion of Islamic banking in Tunisia. Moreover, the following factors: cost, religious conviction, proximity, flexibility and satisfaction of the needs, may affect the entrepreneurs' choice to deal with Islamic financial institution. In addition, the lack of entrepreneurs' confidence with regard to the compliance of Islamic banking with the Shariah principles has a negative effect on Islamic finance development in the Tunisian Northwest region. For this reason, Tunisian Islamic banks should put more effort to reinforce their competitiveness.

scholarly journals Social Judgments as a Measure of Right Mindfulness

SAGE Open ◽  
2017 ◽  
Vol 7 (1) ◽  
pp. 215824401668681
Author(s):  
Robert Lindsay Hakan ◽  
Julia M. Neal ◽  
John Lothes
Keyword(s):  
Empirical Evidence ◽  
Significant Relationship ◽  
Social Judgment ◽  
Self Report ◽  
Social Judgments ◽  
Demand Characteristics ◽  
Mindful Attention ◽  
Potential Demand ◽  
Mindful Attention Awareness Scale

Mindfulness should be associated with decreased automatic responding and with increased empathy and compassion. Therefore, given an opportunity to express judgments about other people, a highly mindful person should be less inclined to express negative and unnecessary judgments. The present study provided participants the opportunity to express judgments about photographs of other people in a procedure that attempted to control for potential demand characteristics associated with self-report measures of mindfulness. Expressed judgments were panel rated, and the derived judgment scores were regressed with participant scores on the Mindful Attention Awareness Scale (MAAS) and the Five Facets of Mindfulness Questionnaire (FFMQ). Results demonstrated no overall significant relationship between judgments and MAAS or FFMQ total scores. However, a significant relationship between judgment scores and the “act with awareness” and the “non-judgment” facets of the FFMQ was observed. Judgment scores were also related to self-reported involvement in mindfulness activities such as meditation and yoga. These results suggest that self-reported mindfulness may not completely align with behaviors that logically reflect right mindfulness. Moreover, social judgment may be a useful overt measure related to mindfulness. The results also provide empirical evidence of the very strong social tendency to negatively and often derogatorily judge other people.

scholarly journals A Heuristics-Based Parthenogenetic Algorithm for the VRP with Potential Demands and Time Windows

2016 ◽  
Vol 2016 ◽  
pp. 1-12
Author(s):  
Chenghua Shi ◽  
Tonglei Li ◽  
Yu Bai ◽  
Fei Zhao
Keyword(s):  
Genetic Algorithm ◽  
Time Windows ◽  
Computation Time ◽  
Routing Problem ◽  
Split Delivery ◽  
Soft Time Windows ◽  
Comparison Results ◽  
Potential Demand ◽  
The Cost

We present the vehicle routing problem with potential demands and time windows (VRP-PDTW), which is a variation of the classical VRP. A homogenous fleet of vehicles originated in a central depot serves customers with soft time windows and deliveries from/to their locations, and split delivery is considered. Also, besides the initial demand in the order contract, the potential demand caused by conformity consuming behavior is also integrated and modeled in our problem. The objective of minimizing the cost traveled by the vehicles and penalized cost due to violating time windows is then constructed. We propose a heuristics-based parthenogenetic algorithm (HPGA) for successfully solving optimal solutions to the problem, in which heuristics is introduced to generate the initial solution. Computational experiments are reported for instances and the proposed algorithm is compared with genetic algorithm (GA) and heuristics-based genetic algorithm (HGA) from the literature. The comparison results show that our algorithm is quite competitive by considering the quality of solutions and computation time.

THE PRICING STRATEGY OF COMPLETE PRE-ORDERED MERCHANDISE UNDER DISCOUNTED PROFIT FOR MAXIMIZING

2008 ◽  
Vol 25 (05) ◽  
pp. 613-624 ◽  
Author(s):  
MIAO-SHENG CHEN ◽  
FU-CHIEN TSAI
Keyword(s):  
Price Level ◽  
Rate Function ◽  
Pricing Strategy ◽  
Optimal Price ◽  
Price Variability ◽  
Intention To Purchase ◽  
Price Levels ◽  
Demand Rate ◽  
Potential Demand ◽  
Customer Purchases

When a customer steps into a complete pre-ordered store, he will review the merchandise and consider his demands based on the merchandise price levels and price variability at that point in time. However, after declaring his intention to purchase said merchandise, the store assistant informs him that the merchandise will not be available for a period of time. This is a typical stock-out merchandise scenario in which customers may only place an order for delivery at a later point in time. Therefore, whether or not customer purchases merchandise does not just depend on the price at that moment. It is also influenced by the expected future increase or decrease of the price of the merchandise and the length of time before the store can supply the merchandise. In this study, we will explore how to set price levels at each point in time during the stock-out period in order to maximize the discounted profit after considering the influence of the price level, price variability, and waiting time on customer demand. The main assumption in this study is that customers' potential demand rate function at a given point during the stock-out period is a linear function of the price level and price variability at that point. Also, the ratio function of customers willing to wait for the merchandise is an exponential function of the length of time before the merchandise will be delivered. Constructing a mathematical model that is concrete to discuss the above problem, to derive the optimal price function of the merchandise at each point in time, and to discuss the characteristics of this function are the main parts of this study.

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