A Framework of Knowledge Based System for Integrated Maintenance Strategy and Operation

2014 ◽  
Vol 564 ◽  
pp. 619-624 ◽  
Author(s):  
M. Milana ◽  
Mohammed Khurshid Khan ◽  
J. Eduardo Munive
Keyword(s):  
Manufacturing Process ◽  
Logistic Function ◽  
Maintenance Strategy ◽  
Business Partner ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Optimal Maintenance ◽  
Maintenance Decisions ◽  
Maintenance Performance

The dependency of maintenance as a manufacturing logistic function has made the considerations and constrains of maintenance decisions complex in nature. The rapid growth of automation in manufacturing process has also increased the role of maintenance as an inseparable business partner. As consequence, maintenance strategy and operations should always be aligned with business and manufacturing perspectives within a holistic and integrated manner to achieve competitive advantage. This paper presents a framework of Knowledge Based System for Integrated Maintenance Strategy and Operation (KBIMSO) linked to business and manufacturing perspectives. The KBIMSO framework has novelty of simultaneously highlighting the elements of business, manufacturing and maintenance perspectives which contribute to direct maintenance performance and can be used by the companies to evaluate their existing maintenance system in relation to business competitive priorities and manufacturing process requirements in order to gain optimal maintenance performance as the competitive driver.

scholarly journals Design and development of Knowledge Based System for Integrated Maintenance Strategy and Operations

2016 ◽  
Vol 25 (1) ◽  
pp. 5-18 ◽  
Author(s):  
Milana Milana ◽  
M Khurshid Khan ◽  
J Eduardo Munive-Hernandez
Keyword(s):  
Maintenance Strategy ◽  
Design And Development ◽  
Knowledge Based System ◽  
Manufacturing Quality ◽  
Maintenance System ◽  
Knowledge Based ◽  
Current State ◽  
Quality Aspects ◽  
Maintenance Decisions ◽  
Business Function

The importance of maintenance has escalated significantly by the increase in automation in manufacturing processes. This condition changed the perspective of maintenance from being considered as an inevitable cost to being seen as a key business function to drive competitiveness. Consequently, maintenance decisions need to be aligned with the business competitive strategy as well as the requirements of manufacturing/quality functions in order to support manufacturing equipment performance. Therefore, it is required to synchronise the maintenance strategy and operations with business and manufacturing/quality aspects. This article presents the design and development of a Knowledge Based System for Integrated Maintenance Strategy and Operations. The developed framework of the Knowledge Based System for Integrated Maintenance Strategy and Operations is elaborated to show how the Knowledge Based System for Integrated Maintenance Strategy and Operations can be applied to support maintenance decisions. The knowledge-based system integrates the Gauging Absences of Prerequisites methodology in order to deal with different decision-making priorities and to facilitate benchmarking with a target performance state. This is a new contribution to this area. The Knowledge Based System for Integrated Maintenance Strategy and Operations is useful in reviewing the existing maintenance system and provides reasonable recommendations for maintenance decisions with respect to business and manufacturing perspectives. In addition, it indicates the roadmap from the current state to the benchmark goals for the maintenance system.

The role of maintenance strategy in metastatic colorectal cancer (mCRC): A systematic review and meta-analysis.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 3524-3524
Author(s):  
Mohamad Bassam Sonbol ◽  
Luke Mountjoy ◽  
Belal Firwana ◽  
Diana Almader-Douglas ◽  
Kabir Mody ◽  
...  
Keyword(s):  
Maintenance Therapy ◽  
Meta Analysis ◽  
Random Effects Model ◽  
Maintenance Strategy ◽  
Maintenance Strategies ◽  
Randomized Controlled ◽  
Induction Regimen ◽  
Optimal Maintenance ◽  
Indirect Comparisons

3524 Background: In mCRC, induction combination chemotherapy with targeted agents is considered the mainstay of treatment. This is typically followed by maintenance therapy vs. observation which had been examined in various trials. However, it remains unclear how best optimize maintenance strategy. We aim to evaluate comparative effectiveness to support best maintenance strategy. Methods: We searched PubMed, Embase, and Cochrane CENTRAL for randomized controlled trials (RCT) evaluating different maintenance strategies in previously untreated mCRC patients (pts): observation (obs), bevacizumab (bev), fluoropyrimidine (FP), FP+bev, or continuing induction regimen (CTX). Outcomes of interest included OS and PFS. The overall effect was pooled using the DerSimonian random effects model. We conducted network meta-analysis based on White’s multivariate meta-regression to pool evidence from direct and indirect comparisons. Agents were ranked using surface under the cumulative ranking (SUCRA) probabilities. Higher SUCRA scores correspond to greater efficacy. Results: Twelve trials at low risk of bias (5540 pts) were included. Network meta-analysis shows no benefit of CTX over obs in terms of PFS (HR 0.7; 95% CI 0.46-1.09) and OS (HR 0.95; 95% CI 0.85-1.07). Compared to obs, maintenance therapy shows PFS benefit (HR 0.58; 95% CI 0.43-0.77) with only a trend in OS (HR 0.91; 95% CI 0.83-1.009). All maintenance strategies (FP, FP+bev, and bev) show significant improvement in PFS over obs. On SUCRA analysis, maintenance treatment (FP or FP+bev) has the highest likelihood of achieving better PFS (67.1% for FP and 99.8% for FP+bev) and OS (81.3% for FP and 73.2% for FP+bev). Conclusions: A maintenance strategy with at least a FP with or without the addition of bevacizumab is preferred. However, given the lack of a clear OS benefit, obs is an acceptable alternative. Optimal maintenance strategies should be dependent on factors including patient preferences, cost and toxicities. [Table: see text]

Assessing the Migration and Transformation of Pesticides in the Subsurface : The Role of Expert Systems

1990 ◽  
Vol 25 (3) ◽  
pp. 293-324 ◽  
Author(s):  
A.S. Crowe ◽  
J.P. Mutch
Keyword(s):  
Expert System ◽  
Numerical Models ◽  
Simulation Models ◽  
Management Tool ◽  
Transport And Transformation ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Regulatory Evaluation ◽  
Agricultural Regions

Abstract The expert system described here is designed to aid regulatory personnel in their assessment of the potential for pesticides to contaminate groundwater. The expert system, known as EXPRES (EXpert system for Pesticide Regulatory Evaluation Simulations), consists of existing simulation models coupled with a knowledge-based system. The numerical models are used to simulate the transport and transformation of pesticides in the unsaturated zone. The knowledge-based system guides the user through the choice of all the necessary information for characterizing the physical, climatic, hydrogeological, pedological and agricultural settings of typical agricultural regions across Canada required by the pesticide model, as well as aiding the user with the model predictions. EXPRES is designed to be used as a management tool to aid in policy decisions and is not intended for use as a research tool. Thus, its purpose is not to provide insight into the processes that control the fate of pesticides in porous media, but to provide an assessment of the potential hazards and to identify if further study is warranted.

scholarly journals A Framework to Determine the Effectiveness of Maintenance Strategies Lean Thinking Approach

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Alireza Irajpour ◽  
Ali Fallahian-Najafabadi ◽  
Mohammad Ali Mahbod ◽  
Mohammad Karimi
Keyword(s):  
Strategic Management ◽  
Maintenance Strategy ◽  
Lean Thinking ◽  
Maintenance Strategies ◽  
Maintenance System ◽  
Optimal Maintenance ◽  
Tools And Techniques ◽  
Maintenance Process ◽  
And Training ◽  
Maintenance Performance

The purpose of this paper is to provide a framework that can identify and evaluate the effectiveness of a given maintenance strategy and to rank components of maintenance system. The framework is developed using DEMATEL method on maintenance strategy as a guideline. To gain a richer understanding of the framework, a questionnaire is constructed and answered by experts. Then the DEMATEL method is applied to analyze the importance of criteria and the casual relations among the criteria are constructed. The scope of the paper is limited to performance measurement of maintenance strategies. It is found that the framework is applicable and useful for the strategic management of the maintenance function. It is observed that the influencing and preferred infrastructures for designing Learning and Training are three components, that is, optimal maintenance, CMMS, and RCM which are interdependent on each other and are the fundamental components to realize the designed goals of maintenance process. This paper provides an overview of research and developments in the measurement of maintenance performance. Many tools and techniques have been developed in other fields. However, the applicability of those tools to maintenance function has never been tried. In that respect this topic is novel. It helps in managing maintenance more effectively.

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