Policy failure

Policy failure

Introduction

In general, the process of public policy is subject to numerous disasters and many serious failures of public policy. At the heart of such disasters and failures have been contradictory circumstances roads, and the results of regulatory policies, deregulation, on the regulation, corrupt and bad policy, poor planning, lack of accountability, transparency , initiative and risk management and the dominance of certain groups, organizations or individuals. In fact, this plexus of the political processes that may be called common underlying policies that are disastrous and full of bugs, and fewer factors that make or counterproductive policies that produce either intended or unintended negative consequences . Disasters and serious failings in particular, the best reference to those policies unwanted collapse of the case, the confusion and chaos and sometimes the damage is irreversible or difficult to overcome (Barlow, 1965).

Discussion and Analysis

This policy paper addresses the inventory of spare parts, when the demand for spare parts arises because regular preventive maintenance as well as random failure of units in service. A stochastic dynamic programming model is used to characterize a management policy that addresses both sources of demand for a unified manner. The optimal policy has the form (s (k), S (k)), where k is the number of periods until the next scheduled preventive maintenance. The nature of (s (k), S (k)) policy is characterized by the numerical evaluation. The effectiveness of the optimal policy is evaluated in relation to a simpler with respect to the replacement of failure and preventive maintenance demands separately with planning policies.

The problem of providing adequate and efficient supply of spare parts to support maintenance and repair of machinery and equipment is an inventory management scenario, especially irritating. Spare parts for machinery and equipment can be very expensive and costly both to keep in inventory. However, the parts must be on hand when needed, in order to avoid costly plant shutdown or equipment availability. Given this combination of high cost and high criticality, random failure of units in service typically generates a low volume, intermittent demand process.

Besides replacing random failure, demand for spare parts can also arise under a policy of regularly scheduled closing and preventive maintenance for the larger system in which parts are used. In contrast to the demand for low-volume replacement failure, preventive maintenance can present a "lumpy demand" scenario that requires a greater number of units at a known point in time.

This work is directed towards an effective policy called for recognition of both preventive maintenance requirements and the requirements due to a random failure of units in service. The premise is that greater efficiency will be made to address these two sources of demand in a unified way, in connection with the use of various policies of demand management of two streams.

Whereas the literature of public replacement assumes the units are replaced by reaching a certain number of periods of service, this work is directed towards a scenario in which the system is closed for maintenance issue freeze or review ...