Techno-Economic Analysis of Hybrid Layered Manufacturing

Subtractive manufacturing (CNC machining) has high quality of geometric and material properties but is slow, costly and infeasible in some cases; additive manufacturing (RP) is just the opposite. Total automation and hence speed is achieved in RP by compromising on quality. Hybrid Layered Manufacturing (HLM) developed at IIT Bombay combines the best features of both these approaches. It uses arc welding for building near-net shapes which are finish machined to final dimensions. High speed of HLM surpasses all other processes for tool making by eliminating NC programming and rough machining. The techno-economic viability of HLM process has been proved through a real life case study. Time and cost of tool making using HLM promises to be substantially lower than that of CNC machining and other RP methods. Interestingly, the material cost in HLM was also found to be lower. HLM is a cheaper retrofitment to any 3 or 5 axis CNC milling machine or machining center.Mechanical Engineerin

Deriving Models for Software Project Effort Estimation By Means of Genetic Programming

Software engineering, effort estimation, genetic programming, symbolic regression. This paper presents the application of a computational intelligence methodology in effort estimation for software projects. Namely, we apply a genetic programming model for symbolic regression; aiming to produce mathematical expressions that (1) are highly accurate and (2) can be used for estimating the development effort by revealing relationships between the project’s features and the required work. We selected to investigate the effectiveness of this methodology into two software engineering domains. The system was proved able to generate models in the form of handy mathematical expressions that are more accurate than those found in literature.

A GA-based technique for the scheduling of storage tanks

YesThis paper proposes the application of a genetic algorithm based methodology for the scheduling of storage tanks. The proposed approach is an integration of GA and heuristic rule-based techniques, which decomposes the complex mixed integer optimisation problem into integer and real number subproblems. The GA string considers the integer problem, and the heuristic approach solves the real number problems within the GA framework. The algorithm is demonstrated for a test problem related to a water treatment facility at a port, and has been found to give a significantly better schedule than those generated using a heuristic-based approach

Teen Risk-Taking: Promising Prevention Programs and Approaches

To help close the knowledge gap and to help program directors, practitioners, and community leaders enlarge the network of effective programs and approaches for at-risk youth, Urban Institute researchers reviewed what is known about successful prevention interventions and their dissemination. They identified 51 problem behavior prevention interventions whose initial effectiveness has been demonstrated through scientific evaluation. A subset of 21 programs was selected on the basis of the rigor of their evaluations or the strength of their results for closer examination of the program elements and/or delivery modes that appeared to be associated with their effectiveness. The researchers also explored with the assistance of experienced prevention scientists and school-based practitioners what might be the essential elements of schools' and other community organizations' readiness to undertake research-based problem behavior prevention programming. This guidebook to promising programs and approaches offers the fruits of that research. It is our hope that it will provide a helpful starting point for the development of a larger, more sustainable network of effective prevention programs and approaches for at-risk teens.In the booklet you will find:An Update on Adolescent Risk-Taking -- what is known about the level and characteristics of teen risk-taking today and why it is both necessary and an opportune time to improve and expand the network of effective prevention programs for at-risk preteens and teens.The Common Elements of Successful Prevention Programs, briefly summarized, along with an explanation of the criteria used to select the 51 programs profiled in this guidebook.Moving from Research to Practice -- a discussion of the challenges facing practitioners seeking to replicate promising intervention programs or approaches, with some suggestions for ways to meet these challenges.A Prevention Readiness Questionnaire to help program directors and planners identify and assess factors necessary to create favorable conditions and circumstances for successful adaptation or replication of the programs or their salient components in new settings.Profiles of 51 Prevention Programs whose behavioral evaluations demonstrate their effectiveness. The profiles provide general information about the program, highlight unique features, summarize evaluation results, and give general contact information. The 21 (most) rigorously evaluated programs also have curriculum, training, and contact information included.A Handy Reference Chart for quick comparison of the 51 programs

Improved Program Planning Approaches Generates Large Benefits in High Risk Crop Farming

This paper examines whether there is room for the improvement of farm program decisions through the incorporation of mathematical optimization in the practical planning process. Probing the potential for improvement, we investigate the cases of four German cash crop farms over the last six years. The formal planning approach includes a systematic time series analysis of farmspecific single gross margins and a stochastic optimization model. In order to avoid solutions that simply exceed the farmer's risk tolerance, the apparently accepted variance of the observed program's total gross margin which represents an observable reflection of the individual farmer's risk attitude is used as an upper bound in the optimization. For each of the 24 planning occasions, the formal model is used in a quasi ex-ante approach that provides optimized alternative programs. The total gross margins that could have been realized if the formally optimized programs had been implemented are then ex-post compared to those that were actually realized. We find that the farmers could have increased their total gross margins significantly if - instead of using simple routines and rules of thumb - they had used the more sophisticated formal planning model. However, we also find that the superiority of formalized planning approaches depends on the quality of statistical analysis and the resulting forecasting model. Using our approach for practical decision support implies that farmers first specify their "own" production programs without the formal planning aid. Then, an alternative program can be provided which leads to superior expected total gross margins without exceeding the farmer's accepted total gross margin variance.production program planning, optimization, uncertainty, static distributions, stochastic processes, Crop Production/Industries, C1, C61, M11, Q12,