Customer Matrix with Different Time Horizons Applied to Electrodischarge Machines

2013 ◽  
Vol 371 ◽  
pp. 220-224
Author(s):  
Daniela Ghiculescu ◽  
Niculae Marinescu ◽  
Daniel Ghiculescu ◽  
Claudiu Pirnău
Keyword(s):  
Time Variable ◽  
Competitive Environment ◽  
Sustainable Competitive Advantage ◽  
Forecast Method ◽  
Second Stage ◽  
Time Horizons ◽  
Perceived Price ◽  
Long Time ◽  
Tree Method

A very effective method to evaluate the products is the Customer Matrix (CM) that uses two coordinates: Perceived Used Value (PUV) and Perceived Price. Our researches extend this basic concept by adding the time variable, creating CM with different time horizons that assures a better understanding of competitive environment. In the first stage, the Customer Matrix is associated with a forecast method. The relevance tree method was used to predict the most probable evolution paths of electrodischarge machines. In the second stage, the CM with different time horizons is constructed, considering products evaluation for short, medium and long time. Finally, a strategy is conceived for an organization that attempts to ameliorate and consolidate its long term position against the main competitors, aiming at obtaining sustainable competitive advantage.

Long-Term Sales Forecast Method Based on Grey Model and Artificial Neural Network

2013 ◽  
Vol 385-386 ◽  
pp. 1726-1729
Author(s):  
Yi Jun Wang ◽  
Hong Ying Tang
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Simulation Experiment ◽  
Grey Model ◽  
Forecast Method ◽  
Sales Forecast ◽  
Long Time ◽  
Artificial Neural ◽  
The U.S

Long-term sales forecasting is a problem that has been focused on for a long time. In order to forecast the long-term sales of an industry or an enterprise accurately, a new method based on Grey Model and Artificial Neural Network is proposed in this paper. The effectiveness and feasibility of the proposed method is verified by simulation experiment using sales data of the manufacturing and trade industry provided by the U.S. government.

scholarly journals Self-resolving Information Markets: An Experimental Case Study

2018 ◽  
Vol 12 (2) ◽  
pp. 47-67
Author(s):  
Kristoffer Ahlstrom-Vij ◽  
Nick Williams
Keyword(s):  
Laboratory Experiment ◽  
Future Research ◽  
Information Markets ◽  
External Event ◽  
Time Horizons ◽  
Long Time ◽  
The Face ◽  
Trading Behaviour

On traditional information markets (TIMs), rewards are tied to the occurrence (or non-occurrence) of events external to the market, such as some particular candidate winning an election. For that reason, they can only be used when it is possible to wait for some external event to resolve the market. In cases involving long time-horizons or counterfactual events, this is not an option. Hence, the need for a self-resolving information market (SRIM), resolved with reference to factors internal to the market itself. In the present paper, we first offer some theoretical reasons for thinking that, since the only thing that can be expected to be salient to all participants on a SRIM is the content of the question bet on, a convention will arise of taking that question at face value, and betting accordingly, in which case trading behaviour on SRIMs can be expected to be identical to that on TIMs. This is the ‘face value’ hypothesis. If this hypothesis holds, SRIMs have the potential of incorporating the accuracy of TIMs while shedding their limitations in relation to long-term predictions and the evaluation of counterfactuals. We then report on a laboratory experiment that demonstrates that trading behaviour can indeed come out highly similar across SRIMs and TIMs. As such, the study can be thought of as an experimental case study on SRIMs. Finally, we discuss some limitations of the study, and also points towards fruitful areas of future research in light of our results.

A New Long-Term Forecast Method of Wind Power

2014 ◽  
Vol 950 ◽  
pp. 214-220
Author(s):  
Ying Lin
Keyword(s):  
Wind Power ◽  
Sampling Interval ◽  
Neutral Network ◽  
Forecast Method ◽  
Term Forecast ◽  
Long Time

We forecast wind power in a way combining wavelet neutral network and rolling forecast. At the same time, we build a system of forecast deviation. Then we use some data to test our model, which yields a desirable result. In addition, we are informed that our method can predict wind power correctly in a long time and short sampling interval can lead to a better result than long sampling interval.

scholarly journals Strategic Issues in Time Dimension of Marketing Tools in Business to Business Markets

2004 ◽  
Vol 3 (1) ◽  
pp. 86-91
Author(s):  
R.K. Gopal ◽  
T.V Raju
Keyword(s):  
Marketing Mix ◽  
Time Dimension ◽  
Short Term ◽  
Strategic Issues ◽  
Individual Account ◽  
Time Horizons ◽  
Long Time ◽  
The Individual ◽  
Business To Business

Key to success in serving industrial customers is to consider together the individual account, the full marketing mix, and the time. The individual account is fundamental to marketing. Marketing tools have time dimension. In general in effective marketing, the critical tools are those with time dimensions matching the time horizons of customers commitments. Long-term tools serve customers with long time horizons, whereas short term tools can support long-term tools in long-term relations. This paper attempts to understand the various marketing tools used by an industrial marketer and their time dimension. This will help the industrial marketer to deploy the marketing tools in an effective way.

scholarly journals A Theoretic Approach to History of Brand and Brand Strategies

2014 ◽  
Vol 10 (1) ◽  
pp. 1762-1766
Author(s):  
Yakup DURMAZ ◽  
Filiz CAYIRAGASI ◽  
Zafer KILIC
Keyword(s):  
Competitive Advantage ◽  
Competitive Environment ◽  
Theoretic Approach ◽  
Sustainable Competitive Advantage ◽  
Product Range ◽  
History Of ◽  
Large Product ◽  
Brand Strategies ◽  
The Mind

Trademark, in todays conditions where competitive environment is getting harder and harder, is not only a name; but also, as products ID, a tool for business which is constituted in the mind of customer and guides the customer in the process of buying. Today, trademark does not seem to be a tool for trading as different from goods and service, and is categorized in the long-term asset. Trademark Strategies are really important for business firms that have large product range in the issue of sustainable competitive advantage pushed up by the trademark. In this respect, in this study firstly information about trademark and sproperties of trademark were given; and then the types of trademark and trademark strategies were handled.  

scholarly journals Addressing the Long-term Impact of ML Decisions via Policy Regret

2021 ◽  
Author(s):  
David Lindner ◽  
Hoda Heidari ◽  
Andreas Krause
Keyword(s):  
Decision Maker ◽  
A Priori ◽  
Long Term Effects ◽  
Time Horizons ◽  
Long Time ◽  
Sequential Allocation ◽  
Reward Functions ◽  
Long Term Impact ◽  
Exploration Exploitation

Machine Learning (ML) increasingly informs the allocation of opportunities to individuals and communities in areas such as lending, education, employment, and beyond. Such decisions often impact their subjects' future characteristics and capabilities in an a priori unknown fashion. The decision-maker, therefore, faces exploration-exploitation dilemmas akin to those in multi-armed bandits. Following prior work, we model communities as arms. To capture the long-term effects of ML-based allocation decisions, we study a setting in which the reward from each arm evolves every time the decision-maker pulls that arm. We focus on reward functions that are initially increasing in the number of pulls but may become (and remain) decreasing after a certain point. We argue that an acceptable sequential allocation of opportunities must take an arm's potential for growth into account. We capture these considerations through the notion of policy regret, a much stronger notion than the often-studied external regret, and present an algorithm with provably sub-linear policy regret for sufficiently long time horizons. We empirically compare our algorithm with several baselines and find that it consistently outperforms them, in particular for long time horizons.

Enhancing the power generation of Rhodopseudomonas palustris-based MFC

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1261-1268
Author(s):  
Shu Otani ◽  
Dang-Trang Nguyen ◽  
Kozo Taguchi
Keyword(s):  
Activated Carbon ◽  
Rhodopseudomonas Palustris ◽  
Ozone Treatment ◽  
Maximum Power Density ◽  
On Demand ◽  
Long Time ◽  
Dry Conditions ◽  
Carbon Sheet ◽  
Uv Ozone

In this study, a portable and disposable paper-based microbial fuel cell (MFC) was fabricated. The MFC was powered by Rhodopseudomonas palustris bacteria (R. palustris). An activated carbon sheet-based anode pre-loaded organic matter (starch) and R. palustris was used. By using starch in the anode, R. palustris-loaded on the anode could be preserved for a long time in dry conditions. The MFC could generate electricity on-demand activated by adding water to the anode. The activated carbon sheet anode was treated by UV-ozone treatment to remove impurities and to improve its hydrophilicity before being loaded with R. palustris. The developed MFC could generate the maximum power density of 0.9 μW/cm2 and could be preserved for long-term usage with little performance degradation (10% after four weeks).

Charlemagne’s Health in ‘Old Age’: Did It Affect Carolingian Military Strategy?

Mediaevistik ◽  
2020 ◽  
Vol 32 (1) ◽  
pp. 11-53
Author(s):  
Bernard S. Bachrach
Keyword(s):  
Old Age ◽  
The Political ◽  
Military Strategy ◽  
The West ◽  
Long Time

During the first thirty-three years of his reign as king of the Franks, i.e., prior to his coronation as emperor on Christmas day 800, Charlemagne, scholars generally agree, pursued a successful long-term offensive and expansionist strategy. This strategy was aimed at conquering large swaths of erstwhile imperial territory in the west and bringing under Carolingian rule a wide variety of peoples, who either themselves or their regional predecessors previously had not been subject to Frankish regnum.1 For a very long time, scholars took the position that Charlemagne continued to pursue this expansionist strategy throughout the imperial years, i.e., from his coronation on Christmas Day 800 until his final illness in later January 814. For example, Louis Halphen observed: “comme empereur, Charles poursuit, sans plus, l’oeuvre entamée avant l’an 800.”2 F. L. Ganshof, who also wrote several studies treating Charlemagne’s army, was in lock step with Halphen and observed: “As emperor, Charlemagne pursued the political and military course he had been following before 25 December 800.”3

The Spread of Pollutants from Harbour Sludge Depots

1984 ◽  
Vol 16 (3-4) ◽  
pp. 623-633
Author(s):  
M Loxham ◽  
F Weststrate
Keyword(s):  
Time Scales ◽  
Molecular Diffusion ◽  
Near Field ◽  
Parameter Analysis ◽  
Migration Patterns ◽  
Long Time ◽  
Dilution Effects ◽  
Short Time ◽  
Harbour Sludge

It is generally agreed that both the landfill option, or the civil techniques option for the final disposal of contaminated harbour sludge involves the isolation of the sludge from the environment. For short time scales, engineered barriers such as a bentonite screen, plastic sheets, pumping strategies etc. can be used. However for long time scales the effectiveness of such measures cannot be counted upon. It is thus necessary to be able to predict the long term environmenttal spread of contaminants from a mature landfill. A model is presented that considers diffusion and adsorption in the landfill site and convection and adsorption in the underlaying aquifer. From a parameter analysis starting form practical values it is shown that the adsorption behaviour and the molecular diffusion coefficient of the sludge, are the key parameters involved in the near field. The dilution effects of the far field migration patterns are also illustrated.

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