A fuzzy decision support system for managing maintenance activities of critical components in manufacturing systems

Erozan, İhsan

doi:10.1016/j.jmsy.2019.06.002

Cited by 35 publications

(14 citation statements)

References 20 publications

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“…It supports gaining more productive solutions together with enhanced satisfaction, also greater agility, innovatively, and reputably through decision-making processes [49]. Erozan [50] reported a fuzzy DSS with more practical effects on the reliability of the components in comparison to common reliability functions. A system can be improved when the maintenance works especially for more crucial components that can be applied reliably and credible.…”

Section: Impacts Of Decision Support Systems On Companiesmentioning

confidence: 99%

The Role of Different Types of Management Information System Applications in Business Development: Concepts, and Limitations

Taherdoost

2022

Cloud Computing and Data Science

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Businesses are highly dependent on data to make critical decisions, manage operations, and simplify processes. Information systems equip businesses to gain benefits from data and provide easy and timely access to data through storing and processing input data from numerous resources. The majority of managers can deal with large amounts of data without letting it interfere with their ability to plan, organize, and control the organization. The disconnect between static information systems and evolving organizational structures is another primary factor contributing to information vulnerability. Organizational restructuring often necessitated revisions to preexisting information fixed systems to account for changing roles, responsibilities, levels of authority, and data requirements. An effective information system enables decision-makers in businesses to monitor trends, plan, predict measures prior to their competitors. The role of information systems to improve business performance has been investigated in studies considering the importance of relevant, accurate, and timely data. However, to increase the effectiveness of information systems, a comprehensive understanding of its applications and use cases of each type of information systems based on different organizational levels is required. This paper aims to provide concepts of information systems, present different applications of information systems, and discuss the main types of information systems based on their level of application. Specific types, roles, advantages, and limitations of information systems are also highlighted focusing on their impact on business developments. Besides, the impacts of different types of information systems on organizations and processes are provided.

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Section: Impacts Of Decision Support Systems On Companiesmentioning

confidence: 99%

The Role of Different Types of Management Information System Applications in Business Development: Concepts, and Limitations

Taherdoost

2022

Cloud Computing and Data Science

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“…This can affect the availability of the machines and therefore their maintenance, which is why adequate management of the information is necessary to facilitate decision making. In fact, the academic literature shows tools that facilitate efficient maintenance management, such as Erozan [3], the selection of an effective maintenance strategy, such as Srivastava et al [4], specific solutions for predictive maintenance in machining processes, such as Jimenez-Cortadi et al [5], or a devotion to synchronizing manufacturing and maintenance activities [6]. All this shows that the problem of selecting the best maintenance strategy is conditioned by a high complexity and that multi-criteria decision systems must be used, as Aghaee et al [7] points out.…”

Section: Introductionmentioning

confidence: 99%

Assisted-Driven Design of Customized Maintenance Plans for Industrial Plants

2022

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Current production systems that respond to market demands with high rates of production change and customization use complex systems. These systems are machines with a high capacity for communication, sensing and self-diagnosis, although they are susceptible to failures, breakdowns and a loss of reliability. The amount of data they provide as a productive system and, individually, as a machine can be treated to improve customized maintenance plans. The objective of this work, with an operational scope, is to collect and exploit the knowledge acquired in the industrial plant on failures and breakdowns based on its historical data. The acquisition of the aforementioned data is channeled through the human intellectual capital of the work groups formed for this purpose. Once this knowledge is acquired and available in a worksheet format according to the Reliability-Centered Maintenance (RCM) methodology, it is implemented using Case-Based Reasoning algorithms in a Java application developed for this purpose to carry out the process of RCM, accessing a base of similar cases that can be adapted. This operational definition allows for the control of the maintenance function of an industrial plant in the short term, with a weekly horizon, to design a maintenance plan adjusted to the reality of the plant in its current operating context, which may differ greatly from the originally projected plan or from any other plan caused by new production requirements. This new plan designed as such will apply changes to the equipment, which make up the production system, as a consequence of the adaptation to the changing market demand. As a result, a computer application has been designed, implemented and validated that allows, through the incorporation of RCM cases already successfully carried out on the productive system of the plant, for the development of a customized maintenance plan through an assistant, which, in a conductive way, guides the plant maintenance engineer through their design process, minimizing human error and design time and leveraging existing intellectual capital.

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“…For example, deterioration of manufacturing units can significantly decrease the production quality [3]. The quality of the production depends, among others, on the maintenance strategy of the manufacturing equipment to prevent production disruptions [4], [5]. In fact, the goal of maintenance scheduling is to maximize the availability of the system, while fulfilling the demand of the users or customers.…”

Section: Introductionmentioning

confidence: 99%

Maintenance scheduling of manufacturing systems based on optimal price of the network

Rokhforoz¹,

Fink²

2021

Preprint

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Goods can exhibit positive externalities impacting decisions of customers in socials networks. Suppliers can integrate these externalities in their pricing strategies to increase their revenue. Besides optimizing the prize, suppliers also have to consider their production and maintenance costs. Predictive maintenance has the potential to reduce the maintenance costs and improve the system availability. To address the joint optimization of pricing with network externalities and predictive maintenance scheduling based on the condition of the system, we propose a bi-level optimization solution based on game theory. In the first level, the manufacturing company decides about the predictive maintenance scheduling of the units and the price of the goods. In the second level, the customers decide about their consumption using an optimization approach in which the objective function depends on their consumption, the consumption levels of other customers who are connected through the graph, and the price of the network which is determined by the supplier. To solve the problem, we propose the leader-multiple-followers game where the supplier as a leader predicts the strategies of the followers. Then, customers as the followers obtain their strategies based on the leader's and other followers' strategies. We demonstrate the effectiveness of our proposed method on a simulated case study. The results demonstrate that knowledge of the social network graph results in an increased revenue compared to the case when the underlying social network graph is not known. Moreover, the results demonstrate that obtaining the predictive maintenance scheduling based on the proposed optimization approach leads to an increased profit compared to the baseline decision-making (perform maintenance at the degradation limit).

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A fuzzy decision support system for managing maintenance activities of critical components in manufacturing systems

Cited by 35 publications

References 20 publications

The Role of Different Types of Management Information System Applications in Business Development: Concepts, and Limitations

The Role of Different Types of Management Information System Applications in Business Development: Concepts, and Limitations

Assisted-Driven Design of Customized Maintenance Plans for Industrial Plants

Maintenance scheduling of manufacturing systems based on optimal price of the network

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