Manpower forecast program

Program reports distribution of actual manpower levels in each section versus accounts, projects versus sections, sections versus manpower classes, and project offices versus sections

Allocation of Manpower

In this study, the heat recovery from exhaust gas at the ACE Power Embilipitiya (Pvt) Ltd (APE) in Sri Lanka was conceptually proposed and evaluated. APE has an installed capacity of 100 MW comprising 14 units of 7.5MW medium speed diesel engines fired with heavy fuel oil. There is only a minimum recovery of waste heat in the plant at the moment, only for fuel preheating, whereas waste heat recovery (WHR) boilers of 750kWth are equipped on eight engines. The larger portion of the waste heat is dumped into the environment without being used in any reasonable way. The objective of this work was to design a HRSG system for the remaining six engines to recover maximum possible heat from the exhaust gas and select a suitable steam turbine according to the heat demand capacity of the proposed HRSG, for generating additional power and thus converting the APE plant into a sort of a combined cycle. At the initial stage of the investigation, the amount of recoverable waste heat was estimated by evaluating the known parameters of the engines at fully loaded condition. The maximum theoretical waste heat recovery potential from the exhaust gas stream of one engine was calculated as 9807.87 MJ/h, equivalent to a heat rate of 2724.4 kW. The modelling and optimization of the proposed HRSG was done using the Engineering Equation Solver (EES) software, considering technical and practical limitations such as pinch point temperature difference, approach point temperature difference, terminal temperature difference and sulphur dew point in the stack. A commercially available steam turbine with a power output of 3.579 MW was selected as the optimum steam turbine for the desired conditions, utilising 12884.4 MJ/h of recovered waste energy amounting to 21.89% of the total available energy in the flue gas

Determination of the Optimal Manpower Size Using Linear Programming Model

There would be no meaningful development lllltil manpower that involves in the transformation of production facilities into useful goods and services is well trained and planned. Recent advances in mathematical programming methodology have included:development of interior methods, competing with the simplex method, improved simplex codes, vastly improved performance for mixed-integer programming using strong linear programming formulations and a renewed interest in decomposition. Application areas have been expanding from the traditional refinery planning and distribution models to include finance, scheduling, manufacturing, manpower planning and many others. We see the acceleration of better methods and improved codes moving together with faster, lower-cost and more interesting hardware into a variety of application areas, thereby opening up new demands for greater fi.mction of optimization codes. This study applies Linear Programming (LP) model based on integer programming to the determination of effective size of manpower to be engaged. The study also incorporates global constraints such as production capacity/demand rate and allowable time of operation into the model to reflect the reality activities in production organizations in developing colUltries. The results obtained show that the model is more efficient than the existing model for effective manpower determination

Manpower and project planning

The purpose was to study how manpower and projects are planned at the Facilities Engineering Division (FENGD) within the Systems Engineering and Operations Directorate of the LaRC and to make recommendations for improving the effectiveness and productivity ot the tools that are used. The existing manpower and project planning processes (including the management plan for the FENGD, existing manpower planning reports, project reporting to LaRC and NASA Headquarters, employee time reporting, financial reporting, and coordination/tracking reports for procurement) were discussed with several people, and project planning software was evaluated

CETA Employers’ Guide

A pamphlet for employers explaining how the CETA program will work with George Moscone’s picture on the coverhttps://scholarlycommons.pacific.edu/mayor-moscone/1001/thumbnail.jp

The History of Manpower Forecasting in Modelling Labour Market

The manpower forecasting approach (MFA) was one of the first attempts in educational planning purposes. Manpower planners attempted: 1) to calculate the demand for manpower classified by occupation; 2) to convert this classification of demand by occupation into demand by educational attainment; 3) to devise plans and policies aimed at equating projected demands and probable supplies. The paper recalls the basic principles of the MFA from the perspective of the history of the economic thought and attempts to clarify why there was a virtual failure in MFA during the 1960s.manpower planning,economic development,labour market

Evaluation of the HARDMAN comparability methodology for manpower, personnel and training

The methodology evaluation and recommendation are part of an effort to improve Hardware versus Manpower (HARDMAN) methodology for projecting manpower, personnel, and training (MPT) to support new acquisition. Several different validity tests are employed to evaluate the methodology. The methodology conforms fairly well with both the MPT user needs and other accepted manpower modeling techniques. Audits of three completed HARDMAN applications reveal only a small number of potential problem areas compared to the total number of issues investigated. The reliability study results conform well with the problem areas uncovered through the audits. The results of the accuracy studies suggest that the manpower life-cycle cost component is only marginally sensitive to changes in other related cost variables. Even with some minor problems, the methodology seem sound and has good near term utility to the Army. Recommendations are provided to firm up the problem areas revealed through the evaluation