A two-stage fuzzy multi-criteria approach for proactive maintenance strategy selection for manufacturing systems
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A two‑stage fuzzy multi‑criteria approach for proactive maintenance strategy selection for manufacturing systems Desmond Eseoghene Ighravwe1,2 · Sunday Ayoola Oke1,2 Received: 3 February 2020 / Accepted: 3 September 2020 © Springer Nature Switzerland AG 2020
Abstract This paper studies the use of fuzzy logic theory embedded in fuzzy axiomatic design to develop an integrated model with the analytical hierarchy process, and a selection of maintenance strategies in manufacturing systems through weighted sum-product evaluation. In this paper, an analysis was conducted to understand the model characteristics of combined fuzzy axiomatic design, analytic hierarchy process and weighted aggregated sum product assessment. The results from the analysis served as information to establish the best maintenance strategy. Based on the data obtained from a factory, which was tested on the proposed framework, it is concluded that the most preferred proactive maintenance strategy for the case study was preventive maintenance, followed by reliability-based maintenance while predictive maintenance is the least preferred maintenance strategy in the rolling mill. Accordingly, the two-stage fuzzy multi-criteria maintenance strategy selection approach is appropriate to select the best maintenance strategy for the factory. This paper offers a new method to establish the best maintenance strategy for a rolling mill. As such, the manager could install a method for significant improvement in engineering practices with promising business excellence and competitiveness results. Keywords Maintenance · Decision making · Manufacturing · Optimisation
1 Introduction Manufacturing systems operate on the premise of many factors – how much demand for the product is desired? What speed of production should be applied and to what product uniqueness will guarantee sales? [1, 2]. Examples of manufacturing systems include assembly lines [3], intermittent [4], just-in-time [5], batch production [6–8], reconfigurable [9], lean manufacturing [10], custom, flexible [11] and computer-integrated manufacturing [12]. From these examples, manufacturing systems is strongly hinged on the arrangement and strategic management of equipment, labour, materials, information and tools. However, the maintenance function is the backbone of manufacturing systems that should be carefully planned in terms of strategy [13, 14]. A maintenance strategy refers to regulations of order for the scheduled maintenance, including
predictive maintenance, reliability-centred maintenance, run-to-fail and preventive maintenance [15–18]. The appropriate selection of a maintenance strategy is critical and a very strong determinant of the manufacturing system’s success [19]. It improves performance and competitiveness in the marketplace. However, on the literature regarding maintenance strategy formulation, there are very scanty experiences and contributions in research and practice to discuss [15, 16, 20]. Furthermore, merely a few articles are associated with strategy selection in manufactu
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