Maintenance Strategy Development Within SME’s: The Development of an Integrated Approach

2007 ◽  
Author(s):  
David Baglee ◽  
Robert Trimble ◽  
John MacIntyre
Keyword(s):  
Implementation Process ◽  
Monitoring And Evaluation ◽  
Integrated Approach ◽  
Maintenance Management ◽  
Strategy Development ◽  
Maintenance Strategies ◽  
High Productivity ◽  
Maintenance Decisions ◽  
System Maintenance

The importance of maintenance has increased, as high productivity and quality can be achieved by means of well-developed and organised maintenance strategies. However, this assumes that maintenance is controlled in such a way that equipment is stopped for maintenance via a systematic schedule. With the recent advances in technology many methodologies, tools, techniques and strategies have been developed and tested. Unfortunately, the majority of organisations are constrained by certain barriers with the resulting loss of major benefits. These are usually classified as Small and Medium Sized Enterprises (SMEs). Based upon our data analysis a new maintenance methodology, the Advanced Integrated Maintenance Management System (AIMMS) is developed. To enable the implementation, monitoring and evaluation of AIMMS a computerised system — Maintenance Management (MainMan) — was developed and implemented within several case study companies. This paper examines the implementation process within one of these companies. The results indicate that AIMMS supports strategic maintenance decisions, and helps to increase equipment effectiveness through prioritising equipment criticality and focusing on specific resources that will maximise gains based upon a return on investment.

scholarly journals ELEMENTS OF SOURCING STRATEGIES IN FM SERVICES - A MULTIPLE CASE STUDY

2006 ◽  
Vol 10 (4) ◽  
pp. 249-267 ◽  
Author(s):  
Tomi Ventovuori
Keyword(s):  
Decision Making ◽  
Geographical Area ◽  
Multiple Case Study ◽  
Integrated Approach ◽  
Strategy Development ◽  
Sourcing Strategies ◽  
Sourcing Strategy ◽  
Starting Point ◽  
Multiple Case

The aim of this paper is to identify the different elements of the sourcing strategy decision‐making process and to clarify what are the factors that lead to the selection of a certain sourcing strategy in FM services. The study is based on a literature review and a multiple case study, which was conducted with four organizations representing different types of FM service clients. To find the optimal sourcing strategy and understand the consequences of different sourcing options, five decision categories must be analysed: sourcing interface, organizational decision‐making, the scope of service package, the geographical area of sourcing and relationship type. There are also some other elements that must be taken into account in the process of sourcing strategy development such as different elements of business in general and the prevailing market conditions. It is strongly suggested that companies could apply the presented integrated approach as a starting point for the development of sourcing strategies in FM services. In addition, this study shows that companies should view the development of sourcing strategies as an important phase of the procurement cycle.

scholarly journals AN INTEGRATED MULTI-OBJECTIVES OPTIMIZATION APPROACH ON MODELLING PAVEMENT MAINTENANCE STRATEGIES FOR PAVEMENT SUSTAINABILITY

2020 ◽  
Vol 26 (8) ◽  
pp. 717-732
Author(s):  
Ankang Ji ◽  
Xiaolong Xue ◽  
Yuna Wang ◽  
Xiaowei Luo ◽  
Minggong Zhang
Keyword(s):  
Integrated Approach ◽  
Maintenance Cost ◽  
First Year ◽  
Optimization Approach ◽  
Maintenance Strategies ◽  
Pavement Condition ◽  
Pavement Maintenance ◽  
Road Pavement ◽  
Maintenance Activities

Addressing the multi-dimensional challenges to promote pavement sustainability requires the development of an optimization approach by simultaneously taking into account future pavement conditions for pavement maintenance with the capability to search and determine optimal pavement maintenance strategies. Thus, this research presents an integrated approach based on the Markov chain and Particle swarm optimization algorithm which aims to consider the predicted pavement condition and optimize the pavement maintenance strategies during operation when applied in the maintenance management of a road pavement section. A case study is conducted for testing the capability of the proposed integrated approach based on two maintenance perspectives. For case 1, maintenance activities mainly occur in TM20, TM31, and TM41, with the maximum maintenance mileage reaching 88.49 miles, 50.89 miles, and 20.91 miles, respectively. For case 2, the largest annual maintenance cost in the first year is $15.16 million with four types of maintenance activities. Thereafter, the maintenance activities are performed at TM10, TM31, and TM41, respectively. The results obtained, compared with the linear program, show the integrated approach is effective and reliable for determining the maintenance strategy that can be employed to promote pavement sustainability.

scholarly journals Exploring predictive maintenance applications in industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wieger Tiddens ◽  
Jan Braaksma ◽  
Tiedo Tinga
Keyword(s):  
Implementation Process ◽  
Predictive Maintenance ◽  
Content Type ◽  
Maintenance Decisions ◽  
Multiple Case ◽  
Physical Assets ◽  
Insight Into ◽  
Selection Of ◽  
Made In

PurposeAsset owners and maintainers need to make timely and well-informed maintenance decisions based on the actual or predicted condition of their physical assets. However, only few companies have succeeded to implement predictive maintenance (PdM) effectively. Therefore, this paper aims to identify why only few companies were able to successfully implement PdM.Design/methodology/approachA multiple-case study including 13 cases in various industries in The Netherlands was conducted. This paper examined the choices made in practice to achieve PdM and possible dependencies between and motivations for these choices.FindingsAn implementation process for PdM appeared to comprise four elements: a trigger, data collection, maintenance technique (MT) selection and decision-making. For each of these elements, several options were available. By identifying the choices made by companies in practice and mapping them on the proposed elements, logical combinations appeared. These combinations can provide insight into the PdM implementation process and may also lead to guidance on this topic. Further, while successful companies typically combined various techniques, the mostly applied techniques were still those based on previous experiences.Research limitations/implicationsThis research calls for better methods or procedures to guide the selection and use of suitable types of PdM, directed by the firm's ambition level and the available data.Originality/valueWhile it is important for firms to make suitable choices during implementation, the literature often focusses only on developing additional techniques for PdM. This paper provides new insights into the application and selection of techniques for PdM in practice and helps practitioners reduce the often applied trial-and-error process.

scholarly journals Using fuzzy logic to support maintenance decisions according to Resilience-Based Maintenance concept

2021 ◽  
Vol 23 (2) ◽  
pp. 294-307
Author(s):  
Lech Bukowski ◽  
Sylwia Werbińska-Wojciechowska
Keyword(s):  
Automotive Industry ◽  
Assessment Method ◽  
Research Directions ◽  
New Approach ◽  
Identification Evaluation ◽  
Readiness Level ◽  
Maintenance Decisions ◽  
System Maintenance ◽  
Physical Assets

Many authors have highlighted the importance of physical assets maintenance management in relation to resilience engineering, especially for systems operating under significant uncertainty. Thus, the authors presented a new approach to system maintenance based on resilience concept implementation. They introduced Maintenance Support Potentials (MSP) as a measure of an organization's maintenance support capacity. Moreover, based on the MSP definition, they developed a fuzzy-based organization's maintenance support potential level assessment method. The proposed approach takes into account two main MSP parameters – potential readiness level and process regency. It followed four main steps, including organization's MSP identification/evaluation, MSP weights assessment, Maintenance Support Capacity assessment, and final reasoning. A case study of a global manufacturer from the automotive industry is presented to illustrate the method's applicability. The authors also indicated further research directions to optimize the maintenance strategy based on Resilience-Based Maintenance concept.

scholarly journals BUSINESS STRATEGY DEVELOPMENT MODEL FOR APPLYING KNOWLEDGE MANAGEMENT IN CONSTRUCTION

2021 ◽  
Vol 27 (4) ◽  
pp. 246-259
Author(s):  
Wedad Abu Adi ◽  
Mohammed Hiyassat ◽  
Natalija Lepkova
Keyword(s):  
Knowledge Management ◽  
Business Strategy ◽  
Success Factors ◽  
Implementation Process ◽  
Monitoring And Evaluation ◽  
Strategy Development ◽  
Construction Companies ◽  
Start Up ◽  
Proposed Model ◽  
Evaluation Stage

This study aims at developing a knowledge management (KM) model that construction companies can apply for effective knowledge management implementations in their businesses. In developing the proposed model, a mixed methodology of analysing related literature and identifying the gaps in some existing models intended for the construction industry is applied. In addition, a questionnaire and interviews approaches are conducted to prepare, enhance, strengthen and validate the developed model. The major finding of this study is proposing a new KM model – named as BAN model – that fits potential conditions for construction contracting firms, especially enterprises that are small in size and nonadopting KM. The developed model comprises six main stages: (1) preliminary stage; (2) development of an organizational strategy stage; (3) start-up stage; (4) implementation stage; (5) monitoring and evaluation stage; and (6) derivation of short- and long-term KM values. The proposed model is capable of filling and solving the gaps in existing knowledge management models and defining major success factors in KM implementation. The benefits of the proposed model include the enhancement of the KM implementation process, facilitation of the decision-making process, attainment and maintenance of competitive advantages, improvement of innovation, and continuance of effective KM performance.

Commitment To Coax Subtleties From Seismic By Means Of An Intelligent Integrated Approach - A Case Study

2009 ◽  
Author(s):  
Vincent Wai Tin Kong ◽  
Alexis Carrillat ◽  
John Ross Gaither ◽  
Ahmad Bukhari Ibrahim ◽  
Irmawaty Abdullah ◽  
...  
Keyword(s):  
Integrated Approach

Stochastic and Deterministic Petri Networks Model for Joint Management Model for Spare Parts and Maintenance: Simulation Study

2020 ◽  
Vol 46 ◽  
pp. 180-188 ◽  
Author(s):  
Oumaima Bounou ◽  
Abdellah El Barkany ◽  
Ahmed El Biyaali
Keyword(s):  
Simulation Study ◽  
Monitoring And Evaluation ◽  
Spare Parts ◽  
Maintenance Management ◽  
Graphical Interface ◽  
Efficient Tool ◽  
Joint Management ◽  
And Storage ◽  
Evaluation Techniques

Maintenance management is an orderly procedure to address the planning, organization, monitoring and evaluation of maintenance activities and associated costs. The maintenance management allows to have an efficient tool either to the management of the preventive or curative activity, an optimization of the production tool, and finally a follow-up of the costs and the performances. A good maintenance management system can help prevent problems and damages to the operating and storage environment, extend the life of assets, and reduce operating costs.In this paper, we will first present our model on the joint management of spare parts and maintenance. We will do a simulation study of our model, presented in the first section of this paper. The results of this study are presented in the second section through the presentation of the influence of certain parameters of the model on the operation of the system under consideration. This study carried out on the graphical interface of Matlab, which is one of the performance evaluation techniques. It allows to visualize the variations and anomalies which can be reached in the system considered as an overcoming of the repair of the machines by the unforeseen breakdowns.

scholarly journals A New Integrated Approach for Municipal Landfill Siting Based on Urban Physical Growth Prediction: A Case Study Mashhad Metropolis in Iran

2021 ◽  
Vol 13 (5) ◽  
pp. 949
Author(s):  
Salman Qureshi ◽  
Saman Nadizadeh Shorabeh ◽  
Najmeh Neysani Samany ◽  
Foad Minaei ◽  
Mehdi Homaee ◽  
...  
Keyword(s):  
Urban Growth ◽  
Integrated Approach ◽  
Physical Growth ◽  
Support Vector ◽  
Markov Chain Method ◽  
Physical Expansion ◽  
Hierarchy Process ◽  
The City

Due to irregular and uncontrolled expansion of cities in developing countries, currently operational landfill sites cannot be used in the long-term, as people will be living in proximity to these sites and be exposed to unhygienic circumstances. Hence, this study aims at proposing an integrated approach for determining suitable locations for landfills while considering their physical expansion. The proposed approach utilizes the fuzzy analytical hierarchy process (FAHP) to weigh the sets of identified landfill location criteria. Furthermore, the weighted linear combination (WLC) approach was applied for the elicitation of the proper primary locations. Finally, the support vector machine (SVM) and cellular automation-based Markov chain method were used to predict urban growth. To demonstrate the applicability of the developed approach, it was applied to a case study, namely the city of Mashhad in Iran, where suitable sites for landfills were identified considering the urban growth in different geographical directions for this city by 2048. The proposed approach could be of use for policymakers, urban planners, and other decision-makers to minimize uncertainty arising from long-term resource allocation.

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