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Computers & Industrial Engineering
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2013, International Journal of Quality & Reliability Management
2013, European Journal of Operational Research
EXPLORING RESOURCES, PROCESS AND DESIGN FOR SUSTAINABLE URBAN DEVELOPMENT: Proceedings of the 5th International Conference on Engineering, Technology, and Industrial Application (ICETIA) 2018
International Journal of Engineering Applied Sciences and Technology
This paper deals with a periodic replacement policy after the expiry of a warranty for a product sold with a two-dimensional non-renewing failure replacement warranty. We model product failures using the one-dimensional approach and use a more appropriate formulation to model the effect of age and usage to the product’s degradation. Under the periodic replacement policy, for a given usage rate y, the product is repaired with minimal repair when it fails at age x, x<τy and it is replaced with a new one if its age reaches τy. We obtain the optimal value of τy which minimizes the long-run average cost to the buyer and give a numerical example to illustrate the optimal solution. Keywords: Periodic replacement policy, Two-dimensional warranty, Long-run average cost, Accelerated failure time (AFT) model.
The ever-growing awareness of environmental protection has significantly influenced the method of manufacturing products. Due to the introduction of new processes, the management of sustainable manufacturing shows different characteristics to those of traditional systems. Sustainable manufacturing systems have attracted a great deal of attention in the past 20 years as an emerging manufacturing approach. Particularly in the last 10 years, the number of papers focusing on the topic of sustainable manufacturing systems' management has increased rapidly. More and more practical factors have been considered and integrated into this area which makes it more complex, but closer to reality. This paper aims to classify the mathematical problems dealing with the management of sustainable manufacturing systems. More than 100 related papers mainly from 1994 to 2015 have been selected and reviewed and divided into three categories according to the main elements in a manufacturing system: production planning and control, inventory management and control and manufacturing network design. The development of each category is summarised and the corresponding mathematical problems are discussed to provide a general overview of the relevant research fields and identify future research directions.
"This paper deals with a mathematical model for periodic replacement policy based on the number of failures. The product is sold with a two-dimensional non-renewing failure replacement warranty. We model product failures using the one-dimensional approach which allows to modeling the effect of age and usage to the product's degradation. Under the periodic replacement policy, for a given usage rate y, the product is repaired with minimal repair when it fails at the first n-1 failures and it is replaced with a new one at n-th failure. We obtain the global optimal values of failures which minimizes the expected cost per unit time to the buyer and give a numerical example to illustrate the optimal solution. Keywords: periodic replacement, two-dimensional warranty, global solution"
2009, Computers & Industrial Engineering
2013, Computers & Industrial Engineering
ABSTRACT In case of leasing, the user rents equipment for a predetermined time. During this period, all maintenance actions are performed by the lessor. The aim of this research paper consists in determining an optimal maintenance policy for ensuring a minimum reliability, required by the customer. Two strategies are proposed: the first consists in performing preventive actions whenever the system reliability reaches a predefined reliability threshold. These actions are characterized by a reduction of the system age. The objective is therefore to determine the effectiveness factor of the optimal maintenance minimizing maintenance costs. For the second strategy, &#39;&#39;improving&#39;&#39; actions replace corrective actions during an interval to be determined to minimize maintenance costs. The first strategy will be solved using a numerical procedure and the second strategy uses an algorithm of discrete event simulation.
This paper deals with a hybrid minimal repair and age replacement policy after the expiry of warranty for a repairable product sold with a non-renewing failure replacement warranty. Parameters of such policy are defined as 0 T and T which indicate as minimally repair time and planned replacement time respectively. Under the hybrid policy, the product with one dimensional warranty W is repaired minimally when it fails during [0,T0 ] and with a failure replacement on first failure after 0 T or a planned replacement at time T , whichever occurs first. For a givenT , we obtain the optimal value 0 T which minimizes the expected cost per unit time to the buyer. A numerical example is given to illustrate the properties of the optimal solution. Keywords: Hybrid maintenance policy, One-dimensional warranty, the expected cost per unit time.
This paper deals with a periodic replacement policy based on the number of failures after the expiry of warranty. The product is sold with a two-dimensional non-renewing failure replacement warranty. We model product failures using the one-dimensional approach which allows to modelling the effect of age and usage to the product's degradation. Under the periodic replacement theory, for a given usage rate y, the product is repaired with minimal repair when it fails at the firts n-1 failures and it is replaced with a new one at n-th failure. We obtain the optimal values of n which minimizes the expected cost per unit time to the buyer and give a numerical example to illustrate the optimal solution.
2017, Computers & Industrial Engineering
In machinery maintenance policies, regular inspection intervals should be specified in such a way that the cumulative of direct and indirect financial consequences of maintenance activities should be minimized while supporting the functional health of system components. This study aims to develop a simulation algorithm, called the time-counter, to optimize inspection intervals. In the algorithm, uptime and downtime behaviors of the system components and production losses in the corrective repairs are considered random values. Delay time concept is regarded when estimating failure detection periods and deciding on the required maintenance type. In addition, the developed model is applied to two active draglines and their inspection intervals are optimized for 232 and 184 hours for Dragline-1 and Dragline-2, respectively. The optimized values are observed to decrease the total maintenance cost by 5.9 and 6.2 percent compared to the current interval of 160 hours. The main novelties of the study are that i) the proposed concept which allows for the simultaneous assessment of system components in an incremental time span has not been proposed in the literature when deciding on optimal inspection intervals, ii) it is the first initiative in inspection optimization of a mining machinery system, and iii) it uses real datasets on lifetime, repair time, and financial values that are rarely observed in the maintenance studies.
2013, Computers & Industrial Engineering
Due to the particular characteristics of hospital environments, it is necessary to carefully select the maintenance management model to be implemented in a health institution. This model must guarantee not only the availability of medical technology but also residual risk management and patient safety. This article is focused on a general review about the maintenance process and its management models through time and analyses in a particular way its impact in the hospital sector. This review will classify the evolution of the maintenance function through time according to its historical context. It will summarize earlier literature review papers related to maintenance management. Moreover, it examines the impact of maintenance models within the literature regarding the clinic-hospital environment. We can find a number of papers about the application of a strategy for hospital maintenance management, independently of its orientation. Among the models reported in the literature for maintenance management, it was detected that only seven had risk orientation or criticality of the assets. These models could be the most adequate for clinical and hospital environment. Nevertheless, it was also identified that none of these models were aimed at maximizing the safety of physiologically impaired people. This highlights the need to develop a model that integrates the hospital maintenance management, the medical technology residual risk management and patient safety, which must nowadays be an aim to achieve by biomedical engineers. The paper provides an organized and structured literature review and identifies gaps from the perspective of research and practice. It is useful for biomedical engineers, maintenance managers or other professionals related directly or indirectly with hospital technology management or hospital facility management.
The productivity of an organization is very much affected by non-value adding activity like logistics , which moves the resources from suppliers to factory, raw materials/semi-finished items within the factory and finished goods from factory to customers via a designated distribution channel called as forward logistics. In some cases, parts of the products such as automobiles, computers, cameras, mobile phones, washing machines, refrigerators, garments, footwear and empty glass bottles of beverages, etc. will be brought back to the factories as a product recovery strategy through reverse logistics network which is integrated in a sustainable closed loop supply chain network. So, it is highly essential to optimize the movement of the items in the reverse logistics network. This paper gives a comprehensive review of literature of the design of networks for the reverse logistics as well as for the reverse logistics coupled with forward logistics. The contributions of the researchers are classified into nine categories based on the methods used to design the logistics network.
2014, Computers & Industrial Engineering
2020, International Journal of Emerging Trends in Engineering Research
One of the main indicators set in the design and modernization of complex technical facilities are indicators reliability and cost of operation. These indicators depend on the properties reliability and maintainability of the object, as well as on the parameters of maintenance system. The article considers the problem of determining approaches to optimizing the parameters of MC process with a constant periodicity of control. Two optimization criteria are investigated: minimization of the specific cost operations of the object, which is determined at a given period of operation, while ensuring a given requirement for level of reliability object; and maximizing the coefficient of technical use while meeting the requirements for the level of reliability of the object. The results are necessary for the development of methods and algorithms for optimizing the parameters of different types of maintenance.
Expert Systems with Applications: X
Computers & Industrial Engineering
2005, Computers & Operations Research
2011, The International Journal of Advanced Manufacturing Technology
2013
2018, Pertanika Journal of Social Science and Humanities
Using market orientation perspective, this study addresses the effects of customer- and competitor orientations on environmental social responsibility (ESR) programmes. This study also examines under what conditions these orientations engender greater or lesser uptake on ESR programmes. This study examines whether the adoptions of ESR programmes determine the level of organisational performance. The results from a largescale, cross-industry study show that being responsive towards customers and competitors leads organisations to adopt ESR programmes. Results also indicate that governmental pressures serve as a moderator on these relationships. In addition, the adoption of ESR programmes in newly developed products enhances an organisation’s reputation, although they have no direct influence on enhancing organisational performance from the financial perspective.
Computers & Industrial Engineering
2009, Computers & Industrial Engineering
International Journal of Production Research
Advances in Science, Technology and Engineering Systems Journal
Abstract Assembly lines are frequently used as a production method to assemble complex products. Two-sided assembly lines are utilized to assemble large-sized products (e.g., cars, buses, trucks). Locating two lines in parallel helps improve line efficiency by enabling collaboration between the line workers. This paper proposes a mixed-model parallel two-sided assembly line system that can be utilized to produce large-sized items in an inter-mixed sequence. The mixed-model parallel two-sided line balancing problem is defined and the advantages of utilizing multi-line stations across the lines are discussed. A flexible agent-based ant colony optimization algorithm is developed to solve the problem and a numerical example is given to explain the method systematically. The proposed algorithm builds flexible balancing solutions suitable for any model sequence launched. The dynamically changing workloads of workstations (based on specific product models during the production process) are also explored. A comprehensive experimental study is conducted and the results are statistically analyzed using the well-known paired sample t-test. The test results indicate that the mixed-model parallel two-sided assembly line system reduces the workforce need in comparison with separately balanced mixed-model two-sided lines. It is also shown that the proposed algorithm outperforms the tabu search algorithm and six heuristics often used in the assembly line balancing domain.
Jurnal Teknik Industri
This article examined the flow shop scheduling problem by considering the travel time between machines. The objective function of this problem was to provide a makespan. The Moth Flame Optimization (MFO) algorithm was proposed to solve the flow shop problem. The MFO experiment was carried out with a combination of iteration parameters and the population of the MFO algorithm to solve the flow shop scheduling problem. The computational results showed that MFO could produce a better solution than the actual scheduling method. Furthermore, the MFO Proposal Algorithm was able to reduce the makespan by up to 3%.
2000, RAIRO - Operations Research
ABSTRACT This paper presents four different hybrid genetic algorithms for network design problem in closed loop supply chain. They are compared using a complete factorial experiment with two factors, viz. problem size and algorithm. Based on the significance of the factor “algorithm”, the best algorithm is identified using Duncan’s multiple range test. Then it is compared with a mathematical model in terms of total cost. It is found that the best hybrid genetic algorithm identified gives results on par with the mathematical model in statistical terms. So, the best algorithm out of four algorithm proposed in this paper is proved to be superior to all other algorithms for all sizes of problems and its performance is equal to that of the mathematical model for small size and medium size problems. KEYWORDS Closed Loop Supply Chain, Genetic Algorithms, HGA, Meta-Heuristics, MINLP, Model, Network Design, Optimization
2015
The purpose of this study is to examine the nature of performance measures utilized by the maintenance function in today’s business organizations. In the process, the increasing variety and significance of these measures are addressed from operational and strategic perspectives. A survey-based research method was utilized to gather the research data. Several statistical procedures were utilized to analyse the data. The findings of this study point to the multifaceted nature of the maintenance measures and measurement. Multiple categories of maintenance measures were identified. These categories varied from the machine-specific, to measures impacting organizational performance. The relative lack of emphasis placed on the environment and strategic facets of maintenance is noted. The findings of this study have direct implications to organizations, which are attempting to measure the effectiveness of their maintenance efforts. The need to align the maintenance performance efforts with the organizational strategic direction is emphasized. In this context, the integration of the maintenance performance information systems with the overall organizational performance management information system might facilitate the needed alignment. This study utilizes 120 maintenance measures. As such, it represents a comprehensive view of the maintenance effort.
Jurnal Teknologi
In the oil and gas processing area, adequate risk control should be prearranged to prevent serious accidents, such as major gas leak, fire, and explosion. Installing gas detectors at appropriate technology is one of indispensable conditions for an implementation of risk reduction measures. Open-path infrared and ultrasonic leak gas detector provide wide coverage of gas detection. This capability is advantageous to detect unintentionally gas release in wide coverage and windy-climate processing area. On the other hand, the installation and maintenance cost of those gas detectors are relatively high compared to point infrared and catalytic gas detector. Gaussian fuzzy analytic hierarchy process (Gaussian FAHP) is implemented to evaluate the selection of gas detector technology in terms of benefit, cost and risk criteria. Ten expert panelists from production, safety, and maintenance departments are involved in Delphi Technique to assess the sub-criteria of Gaussian FAHP. The Gaussian F...
This paper presents an overview of two maintenance techniques widely discussed in the literature: time-based maintenance (TBM) and condition-based maintenance (CBM). The paper discusses how the TBM and CBM techniques work toward maintenance decision making. Recent research articles covering the application of each technique are reviewed. The paper then compares the challenges of implementing each technique from a practical point of view, focusing on the issues of required data determination and collection, data analysis/modelling, and decision making. The paper concludes with significant considerations for future research. Each of the techniques was found to have unique concepts/principles, procedures, and challenges for real industrial practise. It can be concluded that the application of the CBM technique is more realistic, and thus more worthwhile to apply, than the TBM one. However, further research on CBM must be carried out in order to make it more realistic for making maintenance decisions. The paper provides useful information regarding the application of the TBM and CBM techniques in maintenance decision making and explores the challenges in implementing each technique from a practical perspective.
—Information and Communication Technology is equipments of telecommunication network system. ICT has many types and numbers which it are interrelated, spread in various geographical regions of service area. The system is complex and requires simultaneous handling. If the ICT is impaired then the overall network system would be disrupted. Therefore, the maintenance of ICT is essential to keep the function and reliability of the system to avoid downtime. The ICT maintenance activities are carried out by teams work from both internal and external companies. Each teams work has its working standards and must work in an integrated way in carrying out the maintenance activities. This paper presents the results of a case study on how did the team carry out the maintenance and what were the problems, how to solve the problems that might occur, and how team performance could make the performance of telecommunications network systems remained highest standard. The preliminary study is part of the dissertation on the implementation of autonomous maintenance team at Telecommunication Company.
Multi-objective optimization is an optimization problem with some conflicting objectives to be attained, simultanously. This paper reviewed literature about multi-objective optimization problems for supply chain management. The review aimed to provide the lastest research views and recomendations for further studies. We discussed the lastest ten years publications about multi-objective optimization for supply chain management. The scope of this review was classified into five categories i.e. problem statements, multi-objective frameworks, mathematical formulation modeling, optimization techniques, and representation of supply chain. Multi-objective optimization approaches, both classical and metaheuristic approaches, were discussed, accordingly. In this review, we conducted conclusion and recomendations about likelihood research directions in future
In this paper, a new servicing strategy servicing strategy with imperfect repair is defined and studied for the manufacturer of a product sold with a two-dimensional warranty. The strategy is based on a specified region region of the warranty defined in terms of age and usage, with the first failure in the region rectified by an imperfect repair and all other failures being minimally repaired. Product failures are modeled using an accelerated failure time (AFT) model that allows for the effect of usage rate on item degradation.
2015, International Journal of Production Research
2014, Computers & Industrial Engineering