More and more companies are searching for an optimal customized maintenance management concept policy. In this research, in order to improve the production quality and increase mean-time-between-failure (MTBF) of equipment to achieve an optimal customized maintenance management concept policy, will develop a framework for maintenance management concept policy evaluation that offer some guidelines to develop such a maintenance management concept policy. Furthermore will demonstrate the effectiveness of using an MCDM to evaluate maintenance management concept policy form five basic maintenance concepts policies can be distinguished: Failure Based Maintenance, Design-Out Maintenance, Use Based Maintenance, Condition Based Maintenance and Detection Based Maintenance that will help companies to develop an appropriate maintenance management. More and more companies are looking for a customised maintenance concept. The framework presented in this paper sets out some very clear guidelines for establishing a maintenance conceptpolicy, still allowing enough customisation space to create a company-specific concept. The framework takes into account both computerised information and knowledge.
This paper has provided the conceptual framework for using the fuzzy multi-criteria decision making approach to assist the companies to select the maintenance management concept policy. The inherent dilemma can be broken if the companies manage the few important systems and Components as their maintenance policy to achieve the overall goal. The goal of any maintenance is to increase throughput and at the same time reduce inventory and operating expense. As a prerequisite to ensuring profitability, the manager must be able to quickly identify and remove the constraint(s) and ensure that they can continue to meet changing environment accurately.
However, using fuzzy multi-criteria decision making approach to evaluate maintenance management concept policy should be adopted with care due to its intensive training requirements and radical approach that requires experimental learning. In future development of the framework, more modules should be added, and the content of each module should be carefully elaborated upon. In this way, a modular framework can be built. This modular approach would allow to ‘take ideas’ (i.e. a selection of modules) in order to make a customised maintenance concept policy.
This paper has provided the conceptual framework for using the fuzzy multi-criteria decision making approach to assist the companies to select the maintenance management concept policy. The inherent dilemma can be broken if the companies manage the few important systems and Components as their maintenance policy to achieve the overall goal. The goal of any maintenance is to increase throughput and at the same time reduce inventory and operating expense. As a prerequisite to ensuring profitability, the manager must be able to quickly identify and remove the constraint(s) and ensure that they can continue to meet changing environment accurately.
However, using fuzzy multi-criteria decision making approach to evaluate maintenance management concept policy should be adopted with care due to its intensive training requirements and radical approach that requires experimental learning. In future development of the framework, more modules should be added, and the content of each module should be carefully elaborated upon. In this way, a modular framework can be built. This modular approach would allow to ‘take ideas’ (i.e. a selection of modules) in order to make a customised maintenance concept policy.
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