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Cost control --- Costs, Industrial --- Learning curve (Industrial engineering)

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Learning curve (Industrial engineering) --- Apprentissage, Courbe de l' (Génie industriel)

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Information is power in supply chain operations, negotiations, continuous improvement programs, process improvement, and indeed in all aspects of managing an operation. Accurate and timely information can result in better decisions that translate into the improvement of bottomline results. The development and effective use of cost modeling as a method to understand the cost of products, services, and processes can help drive improvements in the quality and timeliness of decision making. In the supply chain community, an understanding of the actual cost structures of processes, products and services, whether with new or nonpartner suppliers, can facilitate fact-based discussions that are more likely to result in agreements that are competitively priced and with fair margins. Further, accurate cost models that are cooperatively developed between supply chain partners can form the basis for joint efforts to reduce non-value-added costs and provide additional focus toward operational improvement.

Costs, Industrial --- Mathematical models. --- Cost model --- Should-cost model --- projected cost model --- crossover model --- cost of quality --- purchasing --- negotiation --- cost management --- strategic sourcing --- procurement --- Excel applications --- supply chain management --- make or buy --- non-value-added cost reduction --- breakeven --- learning curve --- total cost of ownership --- net present value --- simulation --- expected value

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Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted have been proposed in recent scientific literature, from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected to represent a wide range of applications, from weather and environmental predictions to economic and management forecasts. Finally, some applications related to the forecasting of the different phases of COVID in Spain and the photovoltaic power production have been presented.

Research & information: general --- Direct Normal Irradiance (DNI) --- IFS/ECMWF --- forecast --- evaluation --- DNI attenuation Index (DAI) --- bias correction --- nowcast --- meteorological radar data --- optical flow --- deep learning --- Bates-Granger weights --- uniform weights --- (REG) ARIMA --- ETS --- Hodrick-Prescott trend --- Google Trends indices --- Himalayan region --- streamflow forecast verification --- persistence --- snow-fed rivers --- intermittent rivers --- costumer relation management --- business to business sales prediction --- machine learning --- predictive modeling --- microsoft azure machine-learning service --- travel time forecasting --- time series --- bus service --- transit systems --- sustainable urban mobility plan --- bus travel time --- learning curve --- forecasting --- production cost --- cost estimating --- semi-empirical model --- logistic map --- COVID-19 --- SARS-CoV-2 --- PV output power estimation --- PV-load decoupling --- behind-the-meter PV --- baseline prediction

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Industrial economics --- Planning (firm) --- Semiconductor industry --- Semiconductors --- Learning curve (Industrial engineering) --- Technological innovations --- Management --- Mathematical models. --- Marketing --- 658.5 --- 658.81 --- -Semiconductors --- -Crystalline semiconductors --- Semi-conductors --- Semiconducting materials --- Semiconductor devices --- Crystals --- Electrical engineering --- Electronics --- Solid state electronics --- Electronic industries --- Curve, Experience (Industrial engineering) --- Curve, Learning (Industrial engineering) --- Experience Curve (Industrial engineering) --- Labor productivity --- Time study --- Production engineering and planning. Design. Production management and control --- Sales organization --- -Mathematical models --- Materials --- -Production engineering and planning. Design. Production management and control --- 658.81 Sales organization --- 658.5 Production engineering and planning. Design. Production management and control --- -Curve, Experience (Industrial engineering) --- Crystalline semiconductors --- Technological innovations&delete& --- Management&delete& --- Mathematical models --- Marketing&delete& --- Semiconductor industry - Technological innovations - Management - Mathematical models. --- Semiconductors - Marketing - Mathematical models.