A numerical example is provided to demonstrate the applicability of the approach. In our experimental work, we have conducted two tests based on the inputs. The agreement measure was used to compare the ranking order between fuzzy AHP and fuzzy TOPSIS. This software is based on the AHP method and determines the weights for the selected sets of criteria. Both fuzzy AHP and fuzzy TOPSIS methods were implemented using Python language for the computation of the ranking values of the FRs of an IES. In the last stage, the results of MICMAC and F-AHP analyses were used as inputs for the fuzzy technique for order preference by similarity to ideal solution (F-TOPIS) to generate aggregate scores and selection of the most important maintenance factors that have an impact on sustainable manufacturing processes. This model was built with the help of the SuperDecision software. In the third stage, the criteria for evaluation of maintenance factors were defined, then the fuzzy analytic hierarchy process (F-AHP) was applied to determine their relative weights. Then, in the second stage, the matrix of crossed impact multiplications applied to a classification (MICMAC) was carried out to categorize these factors based on their influence and dependence values. At first, ten factors of maintenance activities from a sustainable manufacturing point of view were identified. The work methodology comprises four stages. The proposed model is used for selecting the right AS/RS in one of the leading consumer electronics company of Turkey.This paper presents an empirical study on the impact of maintenance function on more sustainable manufacturing processes. These weights are then used in fuzzy TOPSIS to rank three AS/RS alternatives. Eleven criteria are used in fuzzy AHP to calculate the criteria weights. In this study, fuzzy AHP and fuzzy TOPSIS methods are used in a two-step methodology to select the suitable automated storage and retrieval system (AS/RS) so as to satisfy the expectations of the company. Multi-criteria decision making process is required to select the best among the alternatives. System investment decision has a very crucial role in any company aiming for efficient manufacturing. This study addresses the prioritization of solutions of Environmental Taxes implementation by proposing hybrid MCDM methods based on the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) and the Fuzzy Technique for order preference by similarity to an ideal solution (Fuzzy-TOPSIS) under fuzzy environment. An integrated fuzzy AHP – fuzzy TOPSIS approach for AS/RS selection An integrated fuzzy AHP – fuzzy TOPSIS approach for AS/RS selection