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The output performance of a manufacturing system depends on its operational continuity. However, a manufacturing system can stop for a short time or it can be out of service for a long time due to crucial problems such as poor performance of old machines, unexpected breakdowns or faulty plant and system design. Many firms try to restructure their m...
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Citations
... Liu et al. [41] present a method to jointly assess the reliability of a manufacturing system and its associated processes. Erozan [42] proposes a method to aid restructuring decisions of manufacturing systems. Tont et al. [43] use RBDs to analyze critical and sensitive components of a turbogenerator. ...
... Erozan (2011) [42] • Proposes methodology for restructuring a manufacturing system using fuzzy logic and reliability assessment with RBDs. ...
... Systematization of reviewed HURA literature.and FTs, can enhance the accuracy and flexibility of HWRA in manufacturing systems[66][67][68][69].• Dynamic Reliability Modeling: Developing dynamic reliability models that capture the evolving nature of manufacturing systems can provide a more realistic representation of system behavior, considering factors such as degradation, aging, maintenance actions, and environmental conditions[40,42,56,57,65]. • Human-Machine Interaction: Incorporating human factors and human-machine interaction in hardware reliability assessment can help identify potential failure points and design system improvements to enhance reliability in manufacturing environments involving human operators[59,68]. ...
Reliability assessment refers to the process of evaluating reliability of components or systems during their lifespan or prior to their implementation. In the manufacturing industry, the reliability of systems is directly linked to production efficiency, product quality, energy consumption, and other crucial performance indicators. Therefore, reliability plays a critical role in every aspect of manufacturing. In this review, we provide a comprehensive overview of the most significant advancements and trends in the assessment of manufacturing system reliability. For this, we also consider the three main facets of reliability analysis of cyber-physical systems, i.e., hardware, software, and human-related reliability. Beyond the overview of literature, we derive challenges and opportunities for reliability assessment of manufacturing systems based on the reviewed literature. Identified challenges encompass aspects like failure data availability and quality, fast-paced technological advancements, and the increasing complexity of manufacturing systems. In turn, the opportunities include the potential for integrating various assessment methods, and leveraging data to automate the assessment process and to increase accuracy of derived reliability models.
... For instance, for n = 3 and v = 4 the number of potential rules would be R = 81 and for v = 5, R = 243. In such cases, some realistic rules of the rule base according to company's DMs' knowledge can be defined In those cases, translating the whole knowledge in rules would not be necessary and some of the unnecessary rules can be eliminated (Erozan, 2011). (c) Fuzzy inference mechanism: the inputs for this fuzzy mechanism are the fuzzified result of each rule and the output of this mechanism will be used as an input for the defuzzification process. ...
With the global awareness of sustainability issues, sustainable development is being increasingly recognized by governments and industries. In addressing these issues, organizations worldwide have taken initiatives in adopting sustainability practices in their supply chain transferring it to sustainable supply chain management. In order to establish a responsible sustainable supply chain management, an effective way would be to make sure that the potential suppliers for procuring required components are precisely assessed and evaluated based on sustainable criteria. Therefore, this paper proposes a practical decision making approach to evaluate and select the most sustainable suppliers for an automotive spare part manufacturer licensed under a France-based automotive organization. Firstly, a requirement gathering approach, the audition check-list approach, is designed to facilitate the process of data gathering for supplier evaluation based on three pillars of sustainability. Next, the gathered data are processed using a proposed fuzzy inference system to remove impreciseness and vagueness in the gathered sustainability related data. The strength of this model falls into its applicability in data gathering phase which helps decision makers in manufacturing company to perform a fast audition of a typical supplier. Secondly, the final sustainable ranking of suppliers using the proposed fuzzy inference system provide a precise and less uncertain sustainability performance scoring which makes the developed approach a reliable system for making sustainable sourcing decisions. Comparison and sensitivity analysis are performed to evaluate the proficiency of the developed approach. Finally, theoretical and managerial implications together with conclusions of the study are presented.
... A restructuration study may be conducted by a number of strategic decisions as a wish to adopt a new, more flexible and modular way of operating in order to meet the business dynamic enhancement or simply to improve the development by cost reduction or productivity gain. It was confirmed what Erozan [24] wrote, own investments or the enlargement of factories are rare due to market variations and to the volatility of the electrical and electronics industry. Regarding Technology, according to Fernandes et all [23] wrote, the strategic problem of offering some standardized products is due to the fact that some other suppliers may easily copy the solution and the operational dilemma of investing in new equipment is if it can be used with both standardized products and customized ones. ...
... If there is no direct cooperation , there will be no benefit between both of them. Regarding Production Planning and Control, according to Erozan [24] pointed out, the decision to restructure a productive system in order to enhance its performance is complex because it means determining, controlling, and assessing all the requirements and since managers do not have enough knowledge and experience, this decision making is going to be tougher on them. There is some concern about the workforce appreciation. ...
Productive systems that efficiently meet cost, time limit and quality requirements have become increasingly relevant due to the economics and technological turbulences that periodically hit the global economy. In the electrical and electronics industry, the fierce competition has demanded innovation, dynamism, and quick answers in developing new products and production management from the enterprises. This work aims to investigate the ways of action adopted by enterprises from this industry in Brazil. The methodology analyzes in details primary data obtained from interviews , direct observation, participant observation, document analysis and study of multiple cases in 5 large and medium-scale Brazilian enterprises as a validation mechanism. The data collected and later analyzed in this survey corresponds to the period from 2011 to 2015. As a research contribution , were identified some of best practices have been chosen for the definition and implementation of their production strategies. The main similarities and differences were also highlighted, compared and analyzed among the practices adopted by the investigated enterprises and cited authors.
... The survival of the coal mining industry in Poland is crucial not just for the economy; equally important, if not more so in this case, are the social objectives related to maintaining jobs in the largest Polish industrial agglomeration. This is because, in addition to organizational (Erkama, 2010) and technical (Erozan, 2011;Singh and Singru, 2013) problems, restructuring also raises human problems of individual Balogun, 2007;Li, 2008;Fink et al., 2013;Masciaa et al., 2014)a n d social character (Van Emmerik and Euwema, 2007;Psychogios, 2010;Lewis, 2010aLewis, , 2010b. This implies a need for continuous balancing between economic priorities and implementation of the concept of sustainable development (Baris, 2008;Prudham, 2007). ...
Restructuring entire industries within changing economic systems remains a great challenge. This restructuring is a project of extraordinary scale, including entire regions and even a whole economy. Therefore, the primary objective of this paper is to assess the restructuring of coal mining in Poland from 1990 to 2013 in combination with identification of directions for its further development to guarantee survival of the industry in current market conditions. To achieve the objective, the empirical part of the paper presents the causes, process and effects of restructuring from two perspectives. The first is a macroperspective which concerns coal mining in Poland as a sector. The second is a microperspective in which the largest Polish coal producers, together with their 24 colliery structures, are analyzed. Additionally, in the theoretical part of the paper—including the introduction with the literature study—the review of previous research on restructuring is presented in order to establish the background of the analysis and evaluation that were conducted.
... Studies related to cellular manufacturing system design usually described as cell formation or part-family formation problems. Several significant works including Ghezavati et al. [2], Zhang [3], Erozan [4], Tariq et al. [5], Banerjee [6], Rezaeian et al., [7], Tavakkoli-Moghaddam et al. [8], Süer et al. [9], Egilmez et al. [10][11][12], Nouri and Hong [13], Sayadi et al. [14], Elmaraghy et al. [15], Nouri et al. [16], Brown [17] and Kia et al. [18] have been proposed varying methodologies to solve cell formation problem considering such aspects as intercell movement, hybrid applications of meta-heuristics, restructuring issues, self-learning methods and facility layout. On the other hand, cell loading and job sequencing are the decision-making activities related to cellular manufacturing system control. ...
a b s t r a c t In this paper, stochastic cell loading problem is addressed. The problem is observed in labor-intensive manufacturing cells where operation times and hence in-cell times are probabilistic due to continuous operator involvement throughout the manufacturing processes. The objective is to minimize the number of tardy jobs subject to maximum acceptable probability of tardiness (risk level). A job is called "tardy" if the probability of tardiness is greater than the risk level otherwise it is called early. The risk level is used as a preferred scheduling risk that will be taken by operations planner. A stochastic non-linear mathematical model is developed. Normally distributed processing times and deterministic due dates are used in the experimentation. Various experiments are carried out to study the impacts of risk level, problem size and operation time variance on the optimal schedule. Proposed stochastic approach lets scheduler to sequence the jobs subject to an acceptable risk level. As the risk level increased, the number of jobs included in the schedule increased as well. Similarly, as the risk level increased, the probability of tardiness also increased especially for the jobs that are scheduled in the later positions. Unlike the deterministic model, the results of proposed approach are sensitive to the change in operation time variance. It is recommended to work with the safest schedule (0% risk), when the operation time variance is significantly high.
This paper measures the reliability of a seru production system, which has been proven to be more flexible, efficient, and responsive than the traditional assembly lines in production practice. Seru is the Japanese pronunciation for “cell”, and it is a new type and flexible parallel low automated assembly mode originated from Japanese production practice. This is the first research that focuses on the evaluation of the reliability of seru production systems. We take into account reworking actions of some defective products, especially when these defective products have high values. In this seru production system, the capacity of each worker in the seru systems is regarded as stochastic according to the practical situation. The whole processes of each seru can be decomposed into a general process and a reworking process. In order to analyze the reliability of a seru production system, a model is constructed to describe these two process paths. A solution method is designed to obtain the seru production system reliability. Finally, some numerical examples are presented, and the reliability between seru production system and traditional assembly line is compared. We found that seru production systems are more reliable than assembly lines.
Production facilities, especially factories, should have long-term aspirations to be environmental responsible through adequate waste prevention and management processes. In this paper, we consider the case study of a clothing factory in China with significant labor-intensive operations. The factory's layout, process design, and materials management are aspects that can address the prevention and elimination of unnecessary transportation, processing waste, waiting time, inefficient work methods, inventory, and overproduction. This paper develops a fuzzy-based assessment procedure to consider waste prevention and management in the clothing industry. Here, the factory is modeled as a production unit using a fuzzy multistate network with labor-intensive operations. Using reliability analysis, we determine the probability of demand satisfaction to indicate whether the factory's waste prevention actions are effective. Further, we also show that the established fuzzy-based assessment procedure can consider both pessimistic and optimistic scenarios. Thus, this procedure is extremely useful to a production manager who seeks a comprehensive status of a clothing factory with a focus on consistent improvement.
This paper addresses the reliability analysis for a real-world apparel manufacturing system by using fuzzy mathematics. The studied apparel manufacturing system is a precise handicraft profession which involves a great amount of labor-intensive processes. To consider human performance, the apparel manufacturing system is constructed as a fuzzy multistate network, termed apparel manufacturing network (AMN). The workload state of a workstation in the AMN is defined by three fuzzy membership functions: "under-normal-workload", "normal-workload", and "over-normal-workload". Hence, the workload of a workstation is fuzzy multistate and the workstation-reliability is measured by three fuzzy membership functions. Subsequently, the system reliability is evaluated in terms of all workstation-reliabilities, and is derived by fuzzy intersection. The reliability analysis can help the production manager to understand the demand satisfaction of the AMN.
This paper presents a fuzzy-based assessment model to evaluate system reliability of a labour-intensive manufacturing system with repair actions. Due to the uncertainty in human performance, labour-intensive manufacturing systems must determine the capacity of each labourer in order to accurately characterise the performance of the systems. Therefore, we model such a manufacturing system as a fuzzy multi-state network in order to characterise the labourers’ influence on workstation performance. First, the workstation reliability is defined according to the loading state by three fuzzy membership functions, namely ‘under loading’, ‘normal loading’ and ‘over loading’, respectively. The system reliability is subsequently evaluated with fuzzy intersection operations in terms of these workstation reliabilities. Thus, the system reliability is defined as a fuzzy membership function to assess whether the manufacturing system performance is sufficient to satisfy the demand reliably. A case study of a footwear manufacturing system is illustrated to explain the proposed model. Furthermore, we apply the proposed model to a non-labour-intensive manufacturing network in order to validate the applicability to this class of systems.
