Agung Sutrisno

Integrating SWOT analysis into the FMEA methodology to improve corrective action decision making

Improving the method for selecting risk-based competing improvement strategies has equal importance with failure risk quantification in the FMEA methodology. Nevertheless, there are few studies which focus on this issue. Furthermore, the influence of factors relating to the business environment which may support or derail improvement efforts is not considered in previous studies. In order to address these limitations, a model is proposed in which the impact of environmental factors is considered by integrating SWOT analysis into the FMEA method in order to support the appraisal of competing risk-based improvement efforts. The impact of SWOT variables is deployed using a decision support model based upon the benefit, cost, opportunity, risk and organisational readiness index (BCOR2) approach in order for the FMEA team to select from competing corrective actions. A case example from industry is provided in which the proposed model is applied. This example illustrates that this new model contributes successfully to good practice by identifying the most appropriate corrective action option to take and improves upon the decisions provided by existing developments of the FMEA methodology.

A new modified FMEA model for ranking the risk of maintenance waste considering hierarchy of root causes and effects

Implementing sustainable manufacturing practice requires efficiency of the resource utilisation and activities which add value to the operations. From this point of view, development of an improved methodology to access the criticality of non-added value (waste) is important and believed to support the realisation of sustainable manufacturing operation. While previous studies on improving methodology to support sustainable operation from product and process design are abundantly available in the references, the contribution from maintenance field is in contrary. The goal of this study is to modify the quality improvement tool, failure mode and effect analysis (FMEA) to access the criticality of waste in maintenance operation. In an attempt to realise the above goal, an empirical study to propose the theoretical and actual maintenance waste from industrial practice is undertaken. In order to assist maintenance decision maker to quantify criticality of maintenance waste occurrence, a new model to rank waste maintenance mode, called the waste priority number (WPN) is given. Illustrative on using model for practical purpose is given.

The robust corrective action priority-an improved approach for selecting competing corrective actions in FMEA based on principle of robust design

In spite of being integral part in risk – based quality improvement effort, studies improving quality of selection of corrective action priority using FMEA technique are still limited in literature. If any, none is considering robustness and risk in selecting competing improvement initiatives. This study proposed a theoretical model to select risk – based competing corrective action by considering robustness and risk of competing corrective actions. We incorporated the principle of robust design in counting the preference score among corrective action candidates. Along with considering cost and benefit of competing corrective actions, we also incorporate the risk and robustness of corrective actions. An example is provided to represent the applicability of the proposed model.

A maintenance waste risk appraisal model based on modified failure mode and effect analysis (FMEA)

Establishment of an improved model for assessing criticality of waste in maintenance operation strongly supports the creation of sustainable manufacturing. However, contribution of previous maintenance engineering studies to above issue is very limited. If any, it is very few intended to create a model for ranking criticality of maintenance waste using risk management tool. In spite of the fact that utilization of risk appraisal tool has been introduced in earlier studies by modifying FMEA, some limitations are still existing and demanding for a better refinement. In this paper, an improved model for calculating the risk of maintenance waste using modification of FMEA is proposed. In evaluating risk criticality of maintenance waste, a new waste priority measure is presented via combining new additional dimensions extended from previous waste criticality evaluation models. In the new model, additional indices, the preventability and controllability scale of waste are included in an attempt to narrowing down limitations on using the detection indices only. An example on using the new waste reprioritization model for maintenance waste risk is provided. The proposed model offers an alternative perspective on evaluating the risk of maintenance waste and an improved model for maintenance waste alleviation.

Improving Reliability of Service Operation Using FMEA Review and New Opportunity for Investigations

Despite its growing contribution to the global economy, investigation on the application status of service FMEA study to support realization of reliable service operation is very limited in literature. Motivated by such situation, the paper presented an initial survey on the status and research gaps in developing and applying FMEA in service sectors. Systematic preliminary survey using specific criteria are undertaken. Our study indicated that development and application of service FMEA are partially addressing the characteristics of service operations and it is still applied into the good deed and profit oriented operations. Opportunities for further investigation pertaining to advancement of its decision supporting tool for service risk appraisal, its modification to cope with sustainability related requirements and application of service FMEA in not for profit oriented operations are presented as new avenues for further investigation

Inclusion of Management Desirability and Risk in Service FMEA-Based Corrective Action Selection Methodology

When selecting competing corrective actions on FMEA, decision makers may have a different desirability to target a certain improvement goal. Besides, once the corrective actions have been implemented, there may exist a considerable degree of risk due to the possible uncertainties of the outcome. This paper attempts to present FMEA-based corrective action prioritization, incorporating both management desirability and implementation relevant risk into the model. To reflect team desirability and risk attitude in estimating the attractiveness of corrective actions, the Derringer desirability and risk aversion factor are used. An illustrative example is provided to demonstrate the applicability of the proposed model.