Improvement of decision making grid model for maintenance management in Small and Medium Industries

2009 ◽  
Author(s):  
Zulkifli Tahir ◽  
M. A. Burhanuddin ◽  
A.R. Ahmad ◽  
Sami M. Halawani ◽  
Fahmi Arif
Keyword(s):  
Decision Making ◽  
Maintenance Management ◽  
Grid Model

scholarly journals A Costing Analysis for Decision Making Grid Model in Failure-Based Maintenance

2011 ◽  
Vol 2011 ◽  
pp. 1-15 ◽  
Author(s):  
Burhanuddin M. A. ◽  
Sami M. Halawani ◽  
A. R. Ahmad
Keyword(s):  
Decision Making ◽  
Production Cost ◽  
Good Control ◽  
Fish Bone ◽  
Maintenance Cost ◽  
Economic Downturn ◽  
Repair Cost ◽  
Grid Model ◽  
Computerized Maintenance Management System ◽  
Costing Analysis

Background. In current economic downturn, industries have to set good control on production cost, to maintain their profit margin. Maintenance department as an imperative unit in industries should attain all maintenance data, process information instantaneously, and subsequently transform it into a useful decision. Then act on the alternative to reduce production cost. Decision Making Grid model is used to identify strategies for maintenance decision. However, the model has limitation as it consider two factors only, that is, downtime and frequency of failures. We consider third factor, cost, in this study for failure-based maintenance. The objective of this paper is to introduce the formulae to estimate maintenance cost. Methods. Fish bone analysis conducted with Ishikawa model and Decision Making Grid methods are used in this study to reveal some underlying risk factors that delay failure-based maintenance. The goal of the study is to estimate the risk factor that is, repair cost to fit in the Decision Making Grid model. Decision Making grid model consider two variables, frequency of failure and downtime in the analysis. This paper introduces third variable, repair cost for Decision Making Grid model. This approaches give better result to categorize the machines, reduce cost, and boost the earning for the manufacturing plant. Results. We collected data from one of the food processing factories in Malaysia. From our empirical result, Machine C, Machine D, Machine F, and Machine I must be in the Decision Making Grid model even though their frequency of failures and downtime are less than Machine B and Machine N, based on the costing analysis. The case study and experimental results show that the cost analysis in Decision Making Grid model gives more promising strategies in failure-based maintenance. Conclusions. The improvement of Decision Making Grid model for decision analysis with costing analysis is our contribution in this paper for computerized maintenance management system.

scholarly journals Exploitation Policy in the Aspect of Industry 4.0 Concept – Overview of Selected Research

2018 ◽  
Vol 1 (1) ◽  
pp. 353-359
Author(s):  
Anna Timofiejczuk ◽  
Jaroslaw Brodny ◽  
Andrzej Loska
Keyword(s):  
Decision Making ◽  
Product Development ◽  
Industry 4.0 ◽  
Maintenance Management ◽  
Research Results ◽  
Production Processes ◽  
Decision Making Processes ◽  
Technical Systems

Abstract The article is a review of completed research on developed and implemented innovative and technologically advanced technical systems. According to the Industry 4.0 concept they can have a significant impact on the efficiency of production processes and product development. In this perspective, the key aspect seems to be maintenance management of technical systems, realized both in the operate phase as well as during service and repair works. There were discussed research results of authors and developed application solutions supporting decision-making processes, in terms of three main periods of realization of exploitation processes: short, medium and long-term.

Towards a BIM-based approach for improving maintenance performance in IBS building projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zul-Atfi Bin Ismail
Keyword(s):  
Decision Making ◽  
Good Practice ◽  
Maintenance Management ◽  
Strategic Decision ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Building Information ◽  
Conventional Methods

PurposeThe contemporary practice of conventional maintenance for industrialised building system (IBS) constructions suffers from poor service delivery and defect repetition. A key problem impeding the widespread adoption of emerging technologies is the lack of competent contractors to support the effectiveness of the technology implemented in conventional methods and to ensure returns on investment. The shortcomings of conventional methods are assessed from the perspective of IBS buildings. This paper aims to identify the different system approach using Building Information Modelling (BIM) technology that is equipped with decision making processes.Design/methodology/approachThis paper describes the establishment of key problem areas, the elements involved in implementing good practice and the requirements for integrating maintenance management processes and information databases in the maintenance management system.FindingsConventional methods have little emphasis on defect diagnosis tools. They also enhance inadequate strategic decision-making in the analysis of information when attempting to improve the maintenance project outcomes for IBS construction. The characteristics identified in a case study of IBS buildings are presented and analysed.Originality/valueThe conclusions and recommendations drawn from the analysis of the IBS case study are discussed, synthesised and deliberated upon. The approach presented in this paper integrates various aspects of building information modelling technology to facilitate improved execution of IBS maintenance activities.

Development of a defect monitoring system (DMOSYS) for building maintenance at polytechnic

Facilities ◽  
2018 ◽  
Vol 36 (7/8) ◽  
pp. 403-422
Author(s):  
Zul-Atfi Bin Ismail
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Conventional Method ◽  
Management Practices ◽  
Facility Management ◽  
Maintenance Management ◽  
Content Type ◽  
Building Maintenance ◽  
Application Paper ◽  
Information And Communication

Purpose The current maintenance management method has affected the efficiency of the building facility management at Polytechnics. Many issues such as poor service delivery, inadequate finance, poor maintenance planning and maintenance backlogs have emerged due to the usage of conventional method application (paper-based form and unsystematic database. The purpose of this paper is to review existing literature and case studies project of the technologies in maintenance management at Polytechnic, and subsequently to identify the challenge in improving the current maintenance management technologies. Design/methodology/approach The purpose of this paper is to review existing literature and case studies project of the technologies in maintenance management at Polytechnic, and subsequently to identify the challenges of information and communication technology (ICT) implementation for strategic defect diagnosis and decision-making in improving the current maintenance management technologies. Eight Polytechnics are selected on the basis of the major problems of using the conventional method in the comparison to investigate the maintenance management practices in each Polytechnic. There are around 32 Polytechnics in Malaysia and most are using conventional methods. Findings The findings reveal the need for a more sophisticated maintenance management system that provides guidelines for decision-making processes with the implementation of ICT. The interview results also reveal irregularities within the Malaysian Polytechnics’ maintenance management database. The system architecture and the information system prototype are presented to integrate the information database and maintenance management processes in improving the building diagnosis approach and decision-making process for managing building maintenance. Originality/value This new system is expected to become the successful technology in assisting the maintenance contractors, clients and developer for effective management of maintenance defects at Polytechnic.

A systematic approach for maintenance performance measurement

2019 ◽  
Vol 25 (1) ◽  
pp. 41-53 ◽  
Author(s):  
Dananjaya Wijesinghe ◽  
Harshini Mallawarachchi
Keyword(s):  
Decision Making ◽  
Performance Measurement ◽  
Systematic Approach ◽  
Apparel Industry ◽  
Maintenance Management ◽  
Research Approach ◽  
Content Type ◽  
Maintenance Decision ◽  
Maintenance Performance ◽  
A Performance

Purpose The purpose of this paper is to determine the maintenance performance indicators (MPIs) which are significant for maintenance decision making in the apparel industry through an accurate maintenance performance measurement. Design/methodology/approach A quantitative research approach was followed. A questionnaire survey was used to collect the data which were evaluated based on Mean Weighted Rating and Relative Importance Index. Findings In total, 15 significant MPIs were determined which can directly affect maintenance decision making. A systematic approach was finally developed by allocating weightages for each critical MPI. Practical implications These results can be used to assist the decision-making process and as a performance measurement platform for maintenance management of the apparel industry. Originality/value The significance of maintenance has not been recognized and the value created through such massive efforts has remained hidden. Therefore, the need of adopting a performance-based approach for maintenance management in apparel industry exists. This research was aimed to provide a systematic approach to make decisions on maintenance management in the apparel industry in Sri Lanka.

scholarly journals Integrating Cluster Analysis into Multi-Criteria Decision Making for Maintenance Management of Aging Culverts

Mathematics ◽  
2021 ◽  
Vol 9 (20) ◽  
pp. 2549
Author(s):  
Francesca Marsili ◽  
Jörg Bödefeld
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Cluster Analysis ◽  
Unintended Consequences ◽  
Maintenance Management ◽  
Systems Of Systems ◽  
Infrastructure Systems ◽  
Aging Infrastructure ◽  
Failure Scenario ◽  
Two Phases

Negligence in relation to aging infrastructure systems could have unintended consequences and is therefore associated with a risk. The assessment of the risk of neglecting maintenance provides valuable information for decision making in maintenance management. However, infrastructure systems are interdependent and interconnected systems of systems characterized by hierarchical levels and a multiplicity of failure scenarios. Assessment methodologies are needed that can capture the multidimensional aspect of risk and simplify the risk assessment, while also improving the understanding and interpretation of the results. This paper proposes to integrate the multi-criteria decision analysis with data mining techniques to perform the risk assessment of aging infrastructures. The analysis is characterized by two phases. First, an intra failure scenario risk assessment is performed. Then, the results are aggregated to carry out an inter failure scenario risk assessment. A cluster analysis based on the k-medoids algorithm is applied to reduce the number of alternatives and identify those which dominate the decision problem. The proposed approach is applied to a system of aging culverts of the German waterways network. Results show that the procedure allows to simplify the analysis and improve communication with infrastructure stakeholders.

scholarly journals Forecasting Machine Failure Using DMG and Weibull Analysis in an Automotive Industry: A Case Study

2021 ◽  
Vol 40 (2) ◽  
pp. 435-442
Author(s):  
Kamran Shah ◽  
Hassan Khurshid ◽  
Izhar Ul Haq ◽  
Shaukat Ali Shah ◽  
Zeeshan Ali
Keyword(s):  
Decision Making ◽  
Manufacturing Industry ◽  
Management Strategies ◽  
Fixed Time ◽  
Maintenance Management ◽  
Maintenance Cost ◽  
Weibull Analysis ◽  
Effect Analysis ◽  
Machine Failure ◽  
Computerized Maintenance Management System

In manufacturing or production setup, maintenance cost is one of the major portions of overall operating expenditure. It can vary between 15 to 60 percentage of overall cost for various industries including food related industries, iron, steel and other heavy industries. Such a high cost directly impacts manufacturing setup, profitability and sustainability in long run. In most of the industries, ineffective maintenance management can result in loss of capital and inefficient human resource deployment. This in turn affects the plants’ ability to manufacture quality products that are competitive in the market. Various maintenance management strategies including Operate to Failure (OTF), Design Out Maintenance (DOM), Skill Level Upgrade (SLU), ConditionBased Monitoring (CBM) and Fixed Time Maintenance (FTM) are used in industries for maximizing productivity. In recent years, Computerized Maintenance Management System (CMMS) has become an integral part of most of the industries so its importance and characteristics cannot be understated. While CMMS cannot live standalone, it requires some decision-making techniques to be equipped with. These techniques range from Failure Mode and Effect Analysis (FMEA) to Decision Making Grid (DMG). In this paper, concept of DMG has been applied to an automotive parts Manufacturing Industry in conjunction with Weibull analysis. Parallels are drawn between the results of DMG and Weibull analysis.

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