New product development (NPD) is a dynamic environment and the cycle times of the projects undertaken in this environment vary significantly. To develop and judge the performance of a theoretical model to adequately fit this environment requires the combination analytical methods. The data and model should include quantitative and qualitative characteristics. Certain statistical performance characteristics of a model are easily identifiable. Empirical evidence and expert opinion form a foundation for the model to ensure that the model performance represents the real world operating environment. This paper describes a modelling approach for predicting NPD project cycle time based on both statistical and fuzzy data. Statistical performance characteristics are used to determine the fit of a model. Fuzzy set theory is used to define the membership of the statistical performance in a well performing model and to aggregate the statistical and 'soft' performance characteristics to determine good overall model performance.
- Inderscience Publishers
- A process to build new product development cycle time predictive ...
Water Use in Concrete Production Higher Than Expected - Case Study
Researchers uncover areas where better management may mitigate high water useAlthough many environmental impacts of concrete production have been well studied, little research has been dedicated to just how much water it uses. But, a study published in the journal Nature seeks to quantify the impact of concrete production on global water withdrawals, and it makes some dramatic conclusions and predictions.The authors, Sabbie A. Miller, Arpad Horvath, and Paulo J.M. Monteiro, established a 50-year historical trend...
Extracellular polymeric substance production in high rate algal oxidation ponds
Integrated algal pond systems (IAPSs) combine anaerobic and aerobic bioprocesses to affect sewage treatment. The present work describes the isolation and partial characterisation of soluble extracellular polymeric substances (EPSs) associated with microalgal bacterial flocs (MaB-flocs) generated in high rate algal oxidation ponds (HRAOPs) of an IAPS treating domestic sewage. Productivity and change in MaB-flocs concentration, measured as mixed liquor suspended solids (MLSS) between morning (MLSSAM) and evening...
Fly Ash & the Lightweight Aggregate Market
In 2015, the global fly ash market was estimated to be valued at 40 billion USD. A recent industry analysis by Research Nester anticipates the market will reach an estimated 70 billion USD by the end of 2023 – a 7.1% CAGR owing to increasing urbanization and a boost in construction projects. Along with bottom ash (BA) and flue gas desulfurization gypsum (FGD gypsum, or synthetic gypsum), fly ash is a coal combustion residual (CCRs) – a byproduct of coal-generated power and one of the largest...
Basic Information of Rice Production Line
The objective of a rice milling system is to remove the husk and the bran layers from paddy rice to produce whole white rice kernels that are sufficiently milled, free of impurities and contain a minimum number of broken kernels. The milling yield and quality of rice is dependent on the quality of the paddy, the milling equipment used and the skill of the mill operator. With the rapid upgrading of agricultural machinery, machines concerned with rice is becoming more and more advanced. At the same time, many new...
Construction Aggregate Mining: Sand and Gravel - Case Study
In 1995, we helped a company locate sand and gravel volumes in San Marcos, Texas. This material can be mined and sold for construction purposes. Process The Sting R1 with 47 Dual-Mode Swift electrodes was spaced three meters apart. Two parallel lines were collected eight meters apart to identify conductive silt/clay/shale and resistive sand/gravel areas. Results Sand and gravel zones and the shale bedrock surface were located to help estimate sand and gravel volumes. Additionally, the imaging identified the...