Abstract
Asset management, as a systematic process of operating, maintaining, and upgrading physical assets, is an important element of decision-making in heavy equipment management and operation. Maintenance strategy selection plays a significant role in mining design. However, the nature of maintenance strategy selection is a complex multi-criteria decision making (MCDM) problem including both tangible and intangible parameters which are often in conflicting with each other. As well as when decision makers are uncertain in determining and defining the ratings and the weights of alternatives and criteria respectively, fuzzy theory provides an appropriate tool to handle the existing uncertainties. In this paper, a new fuzzy MCDM method based on the concepts of COPRAS (COmplex PRoportional ASsessment) and AHP (Analytical Hierarchy Process) was proposed to evaluate the feasible maintenance strategy. The linguistic terms are employed to assess the ratings and weights. Fuzzy AHP is utilized to calculate the weights of the evaluation criteria; then, the rankings of alternatives are computed based on fuzzy sets theory and COPRAS. A real world case study is presented to illustrate a potential application of the proposed model. Santrauka Turto valdymas, kaip sistemingas veiklos procesas materialiajam turtui palaikyti ir atnaujinti, yra svarbus sprendimų priėmimo sandas, reikalingas sunkiajai įrangai valdyti ir naudoti. Pasirinkti priežiūros strategiją yra ypač svarbu projektuojant kasybą. Tačiau techninės priežiūros strategijos parinkimo pobūdis yra sudėtingas daugiatikslio sprendimų priėmimo (MCDM) uždavinys, apimantis tiek materialius, tiek nematerialius aspektus, tarpusavyje dažnai prieštaraujančius. Kai sprendimų priėmėjui kyla neaiškumų nustatant ir apibrėžiant rodiklių vertes ir svorius, neraiškiųjų aibių teorija yra tinkama priemonė esamam neapibrėžtumui aprašyti. Straipsnyje pateikiamas naujas neraiškusis MCDM būdas, pagrįstas COPRAS (kompleksinio proporcingo projektų įvertinimo) ir AHP (analitinio hierarchijų proceso) metodais, tikslingoms nekilnojamojo turto palaikymo strategijoms įvertinti. Rodiklių vertės ir svoriai yra apibrėžti lingvistinėmis sąvokomis. Neraiškusis AHP taikomas vertinimo rodiklių svoriams apskaičiuoti. Paskui alternatyvų rangai nustatyti taikant neraiškiųjų aibių teoriją ir COPRAS metodą. Naujai pasiūlytas modelis pritaikytas realiam uždaviniui spręsti.
Highlights
In asset intensive industries such as mining and earthmoving operations, the productivity and reliability of capital assets is vital to financial success of projects
We propose an integrated approach based on fuzzy analytic hierarchy process (AHP) and COPRAS to solve multi-criteria decision making (MCDM) problems in which the weights of criteria and the performance ratings of alternatives are calculated based on linguistics terms
The maintenance strategy selection problem is often influenced by uncertainty in real world, and in such circumstances fuzzy set theory is a proper tool to face with this type of problems and model the existing uncertainty
Summary
In asset intensive industries such as mining and earthmoving operations, the productivity and reliability of capital assets is vital to financial success of projects. There are a large number of tangible and intangible criteria, which often are in conflict with each other, that should be considered in selection of the best maintenance strategy. For these reasons, it is difficult to equipment managers choose the best maintenance strategy for each piece of equipment from a set of feasible alternatives, especially during the feasibility studies and plant design stages. We propose an integrated approach based on fuzzy AHP and COPRAS to solve MCDM problems in which the weights of criteria and the performance ratings of alternatives are calculated based on linguistics terms.
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