- Saturday, March 7, 2009
- Published at:Not Found
- Modern management tools that evolved through quality management initiatives have been providing effective solutions for organizational and operational problems encountered in private sector firms. The success of such initiatives in private organizations has stirred up a continuing wave among public sector departments and particularly among local governments to improve service quality and performance effectiveness. This paper presents a proposed scheme for a municipal performance measurement system for use at local government units in West Bank and Gaza. The system is based on quantitative measures that address key major municipal performance areas; these are financial, internal administrative, service quality, and regulatory measures. A portion of the scheme has been under trial-implementation in a local municipality and initial results demonstrated the potential of using it as a basis for a national municipal performance measurement process.
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- Wednesday, January 1, 2003
- Published at:Not Found
- This research has addressed a quantitative approach for improving energy management through applying statistical techniques aimed at identifying and controlling factors linked to energy consumption rates at manufacturing plants. The paper presents analysis and results of multiple linear regression models used to establish the significance of a number of energy related management factors in controlling energy usage. Regression models constructed for this purpose proved the existence of statistically valid relationships between electrical energy consumption and maintenance and production management factors, namely, failure rate and production rate, where R2 values of the magnitude of 65 per cent were obtained. Furthermore, an economical treatment based on the derived regression models was formulated and demonstrated that effective management practices associated with proper maintenance, cost accounting and reporting systems can result in highly significant savings in energy usage.
Journal of Quality in M
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- Wednesday, January 1, 2003
- Published at:Not Found
- The management of quality has received considerable attention in recent years and various studies have documented analysis and results of the impact of quality management models on organizational effectiveness. This research study provides details of an investigation of the impact of the principles of ISO9000 quality management system on improving organizational effectiveness in Palestine. Using a recent survey of ISO9000 implementing companies, data were collected and analysed about critical quality management principles: quality strategy, continuous improvement, leadership development, and customer satisfaction, and the impacts were assessed using key organizational effectiveness indicators: employee satisfaction, quality, and productivity. Basic hypotheses were formulated and tested and the results showed that companies have indeed made significant efforts towards establishing genuine quality systems and consequently attained benefits in terms of effectiveness indicators. Furthermore, correlation analysis
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- Tuesday, January 1, 2002
- Published at:Pakistan Journal of Informatlon and Technology l(3): 294-298, 2002
- Artificial neural network have been successfully employed for providing efficient solutions for decision making problems and gained increased significance for their use in computer integrated manufacturing environment as effective tools for improving productivity and decision quality. The function of process planning in machining operations is a prominent one for neural network applications since it has direct impact on overall manufacturing productivity. This paper presents analysis and results of applying self-organizing neural networks to the selection of machining parameters of milling processes. The importance of this approach stems from the ability of neural nets to handle vague or ill-structured problems and the inherent capability of generalizing solutions to unseen problems. Furthermore, self-organizing neural networks do not require full knowledge of `output` data needed during the training phase; only a small portion of the data is needed for model calibiration. Simulations using ART1 neural model
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- Friday, January 1, 1999
- Published at:Not Found
- Reliability evaluation techniques employ a variety of tools for system modeling and calculation of reliability indices. Amongst the most popular tools are network-based algorithms founded on the concept of minimal paths and minimal cutsets. This paper presents a heuristic programming technique for deducing minimal paths of a network. In this technique, only minimal paths are immediately generated without explicitly determining whether or not a path is minimal. This technique has been implemented on a digital computer to generate a minimal path matrix, which is in turn utilized to generate minimal cutsets of the network. In terms of computational speed, the results obtained compare well with existing algorithms. The technique requires minimum memory storage and minimum user-defined data to represent the topology of a network and follows a modular design strategy. Use of the algorithm is illustrated by examples.
Computers & Industrial Engineering, Volume 36, Issue 1, January 1999, Pages
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