Development Of Maintenance Policy Selection (MPS) Model To Select The Optimal Maintenance Policy For A System In Palm Oil Mill

The maintenance is change due to the development of technology. Under the changes, different maintenance policies have been developed, from corrective maintenance until predictive maintenance. Penyelenggaraan telah berubah dengan perkembangan teknologi. Di bawah perubahan ini , pelbagai jenis dasar penyelenggaraan telah dibangunka

Assessment of distance-based multi-attribute group decisionmaking methods from a maintenance strategy perspective

Maintenance has been acknowledged by industrial management as a significant influencing factor of plant performance. Effective plant maintenance can be realized by developing a proper maintenance strategy. However, selecting an appropriate maintenance strategy is difficult because maintenance is a non-repetitive task such as production activity. Maintenance also does not leave a consistent traceable record that can be referred to during the decision-making process. The involvement of tangible and intangible factors in the assessment process further increases the complexity of the decision-making process. The technique of preference order by similarity to ideal solution (TOPSIS) is one of the most well-known decisionmaking methods and has been widely used by organizations to conduct effective decisions regarding maintenance issues. TOPSIS has also evolved by integrating different approaches such as the fuzzy concept. Although numerous TOPSIS applications for maintenance decision making have been published, the effectiveness of crisp TOPSIS and fuzzy TOPSIS needs to be investigated further. This paper attempts to present a comparison between conventional crisp TOPSIS and fuzzy TOPSIS from a group maintenance decision-making perspective by an empirical illustration. Sensitivity analysis is conducted to demonstrate further the resilience of crisp TOPSIS and fuzzy TOPSIS

Integration Of Clustering Concept And Fuzzy Topsis For Maintenance Policy Decision Making Model

Maintenance policy decision making has become a great challenge in view of the fact that decision making process is highly fuzzy and complicated given that it involves multiple subjective evaluation perspectives. Thus, this study aims to develop a decision making model that is capable to determine the optimal maintenance policy for multiple systems with similar failure mechanisms. Particularly, the development of maintenance policy decision making (MPDM) model is separated into three stages starting from grouping multiple systems into virtual cells according to the similarity of failure mechanisms. Mean while, a set of procedures are proposed in second stage of the MPDM model to obtain required information for analysis purposes in third stage. The Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) will be integrated in the third stage of the MPDM model to provide preference order of the maintenance policies for particular virtual cell. In the end, the maintenance policy with highest ranking will be pointed as the optimal maintenance policy for respective virtual cell. The robustness of the MPDM model had been verified and validated through six case studies in a circuit board manufacturing plant. The results obtained from case studies had proven the robustness of the MPDM model in determining optimal maintenance policy for each virtual cell. Overall, the MPDM model has been proven capable in providing systematic way of maintenance policy decision making for multiple systems

Comparison of Multi Criteria Decision Making Methods From The Maintenance Alternative Selection Perspective

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Activation of protein phosphatase 2A tumor suppressor as potential treatment of pancreatic cancer

We utilized three tiers of screening to identify novel therapeutic agents for pancreatic cancers. First, we analyzed 14 pancreatic cancer cell lines against a panel of 66 small-molecule kinase inhibitors and dasatinib was the most potent. Second, we performed RNA expression analysis on 3 dasatinib-resistant and 3 dasatinib sensitive pancreatic cancer cell lines to profile their gene expression. Third, gene profiling data was integrated with the Connectivity Map database to search for potential drugs. Thioridazine was one of the top ranking small molecules with highly negative enrichment. Thioridazine and its family members of phenothiazine including penfluridol caused pancreatic cancer cell death and affected protein expression levels of molecules involved in cell cycle regulation, apoptosis, and multiple kinase activities. This family of drugs causes activation of protein phosphatase 2 (PP2A). The drug FTY-720 (activator of PP2A) induced apoptosis of pancreatic cancer cells. Silencing catalytic unit of PP2A rendered pancreatic cancer cells resistant to penfluridol. Our observations suggest potential therapeutic use of penfluridol or similar agent associated with activation of PP2A in pancreatic cancers. (C) 2015 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved