Промышленная инженерия и менеджмент

Modelling of Enablers for Maintenance Management by ISM Method

Abstract

Sachin Yadav and Ankur Sharma

The intent of this paper is to assert the enablers for maintenance management and indicates the strong relationship inaugurate between the enablers by using the interpretive structural modeling (ISM). A good maintenance organization presents clear roles and responsibilities, an adequate span of control, facilitation of good supervision, effective reporting, and a regular improvement culture. ISM is used here to refer to the systematic application of some elementary notions of graph theory in such a way that theoretical, conceptual, and computational leverage is exploited to efficiently construct a directed graph, or network representation, of the complex pattern of a contextual relationship among a set of elements. This work has tried to identify the barriers for successful implementation of maintenance management by manufacturing sectors to improve their performance. In this framework, total 15 barriers have been identified from literature review and expert meet from different interest areas for successful implementation of maintenance management. Effective implementation of MM will improve overall performance of organization in terms of lead time, manufacturing cost, machine breakdown and quality of product with reduction in product rejection. This paper is good for achieve continued improvement by evaluating performance, taking corrective actions, and measuring progress and prepare for future changes by anticipating needs and organizing flexibly