Design for maintenance: new algorithmic approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oussama Adjoul ◽  
Khaled Benfriha ◽  
Améziane Aoussat

PurposeThis paper proposes a new simultaneous optimization model of the industrial systems design and maintenance. This model aims to help the designer in searching for technical solutions and the product architecture by integrating the maintenance issues from the design stage. The goal is to reduce the life-cycle cost (LCC) of the studied system.Design/methodology/approachLiterature indicates that the different approaches used in the design for maintenance (DFM) methods are limited to the simultaneous characterization of the reliability and the maintainability of a multicomponent system as well as the modeling of the dynamic maintenance. This article proposes to go further in the optimization of the product, by simultaneously characterizing the design, in terms of reliability and maintainability, as well as the dynamic planning of the maintenance operations. This combinatorial characterization is performed by a two-level hybrid algorithm based on the genetic algorithms.FindingsThe proposed tool offers, depending on the life-cycle expectation, the desired availability, the desired business model (sales or rental), simulations in terms of the LCCs, and so an optimal product architecture.Research limitations/implicationsIn this article, the term “design” is limited to reliability properties, possible redundancies, component accessibility (maintainability), and levels of monitoring information.Originality/valueThis work is distinguished by the use of a hybrid optimization algorithm (two-level computation) using genetic algorithms. The first level is to identify an optimal design configuration that takes into account the LCC criterion. The second level consists in proposing a dynamic and optimal maintenance plan based on the maintenance-free operating period (MFOP) concept that takes into account certain criteria, such as replacement costs or the reliability of the system.

2020 ◽  
Vol 20 (2) ◽  
pp. 191-207 ◽  
Author(s):  
Muhammad Waseem Khan ◽  
Yousaf Ali

Purpose The change in climate and depletion of natural resources because of the harmful emissions from different materials becomes a main issue for the globe. Some of the developed and developing countries have focused on this issue and performed research to provide a solution. The purpose of this study is to identify the best types of concrete based on its impact on the environment and economy. Design/methodology/approach The life cycle assessment and life cycle cost analysis of six concrete mixtures that include construction and demolition wastes (CDW), marble sludge, rice husk and bagasse ash as a partial replacement of cement, are performed. These types of concrete are compared with each other and with ordinary concrete to select the best possible concrete type for a developing country, like Pakistan. Findings The results show that, although for an agricultural country like Pakistan, the agriculture wastes such as rice husk and bagasse ash are preferable to be used, if the emissions of CO2 and CO from rice husk and NOx and SO2 from bagasse ash are properly controlled. However, based on the results, it is recommended to use the CDW in concrete because of the small amount of air emissions and affordable prices. Originality/value Through this study, a path has been provided to construction companies and relative government organizations of Pakistan, which leads to sustainable practices in the construction industry. Moreover, the base is provided for future researchers who want to work in this area, as for Pakistan, there is no database available that helps to identify the impact of different concrete on the environment.


2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Sung-Min Choi ◽  
Yeon-Sil Lee

Currently, repair and maintenance cycles that follow the completion of construction facilities lead to the necessitation of subsequent data on the analysis of study and plan for maintenance. As such, an index of evaluation was drafted and a plan of maintenance cycle was computed using the investigation data derived from surveying target housing units in permanent rental environmental conditions, with a minimum age of 20 years, and their maintenance history. Optimal maintenance and replacement methods were proposed based on this data. Economic analysis was conducted through the Risk-Weighted Life Cycle Cost (RWLCC) method in order to determine the cost analysis of maintenance life cycle methods used for repair. Current maintenance cycle methods that have been used for 20 years were also compared with alternative maintenance cycles.


2013 ◽  
Vol 26 (4) ◽  
pp. 1000-1007 ◽  
Author(s):  
Shigang Zhang ◽  
Zheng Hu ◽  
Xisen Wen

2018 ◽  
Vol 23 (2) ◽  
pp. 170-184 ◽  
Author(s):  
Nayanthara De Silva ◽  
Nilmini Weerasinghe ◽  
H.W.N. Madhusanka ◽  
Mohan Kumaraswamy

Purpose The purpose of this paper is to identify enablers for setting up relationally integrated value networks (RIVANS) for total facilities management (TFM) as a holistic approach to bridge the Project Management (PM) phase to the facilities management (FM) phase, aiming for better service delivery while optimizing the life-cycle cost. These enablers are proposed as required driving forces for the industry to bridge current gaps through RIVANS for TFM so as to improve the value of the facility and deliver better value to its stakeholders over its life span. Design/methodology/approach A literature review elicited 11 typical better values that could be achieved by suitably linking the PM and FM supply chains in general. While these were tested in parallel research exercises in Hong Kong, the UK and Singapore, this paper reports on the specific findings from Sri Lanka, where a Web-based questionnaire survey was conducted to identify potential better values for proposed relational networks (including the clients, consultants, contractors and suppliers in the supply chain). Better values were then clustered under principal domains/components using factor analysis to establish synergetic enablers. Findings In total, 11 significant better values for TFM were identified and four enablers were extracted as building long-term integrated networks, establishing a common resource pool linking PM and FM, enhancing sustainability of TFM and developing a similar protocol between PM and FM. Originality/value The study carried out in this paper contributes to knowledge by identifying drivers to bridge the gap between PM and FM to best achieve clients’ long-term aspirations through a holistic life-cycle approach. Furthermore, all stakeholders in TFM can revisit their practices to establish and strengthen the identified enablers.


2016 ◽  
Vol 33 (3) ◽  
pp. 414-429 ◽  
Author(s):  
Laxman Yadu Waghmode ◽  
Rajkumar Bhimgonda Patil

Purpose – Reliability analysis is required to identify the components or subsystems with low reliability for a given designed performance. Life cycle cost analysis helps understand the cost implications over the entire life span of a product. The purpose of this paper is to present a case study describing reliability analysis and life cycle cost optimization of a band saw cutting machine manufactured and used in India. Design/methodology/approach – The data required for reliability analysis is collected from the manufacturer and users of band saw cutting machine. The parameters of failure distribution have been estimated by using ReliaSoft’s Weibull++6 software. The life cycle cost is divided into various cost elements such as acquisition cost, operation cost, failure cost, support cost and net salvage value. Findings – The results of the analysis show that the components such as band wheel bearing, guide roller bearing, limit switch, carbide pad, hydraulic cylinder oil seal, control panel dial, control panel and solenoid valve are critical from reliability and life cycle cost analysis perspective. Originality/value – With certain design changes it is found that the reliability of the system is increased by 15.85 percent while the life cycle cost is reduced by 22.09 percent. The study also shows that the reliability analysis is useful for deciding maintenance intervals.


2016 ◽  
Vol 14 (4) ◽  
pp. 818-834 ◽  
Author(s):  
Ayedh Alqahtani ◽  
Andrew Whyte

Purpose This paper aims to identify the main non-cost factors affecting accurate estimation of life cycle cost (LCC) in building projects. Design/methodology/approach Ten factors affecting LCC in building project cost estimates are identified through literature and interviews. A questionnaire survey is conducted to rank these factors in order of priority and provide the views of cost practitioners about the significance of these factors in the accurate estimation of LCC. The data from 138 construction building projects completed in UK were collected and analysed via multiple regression to discover the relationship between capital and LCCs and between non-cost factors and cost estimation at each stage of the life cycle (capital, operation, maintenance and LCC). Findings The results of analysis of existing LCC data of completing project and survey data from cost professionals are mostly consistent with many literature views and provide a reasonable description of the non-cost factors affecting the accuracy of estimates. Originality/value The value of this study is in the method used, which involves analysis of existing life data and survey data from cost professionals. The results provide a plausible description of the non-cost factors affecting the accuracy of estimates.


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