scholarly journals An uncertain programming model for preventive maintenance scheduling

2017 ◽  
Vol 7 (1) ◽  
pp. 111-122 ◽  
Author(s):  
Hamed Maleki ◽  
Yingjie Yang

Purpose The purpose of this paper is to illustrate an uncertain programming model for scheduling of preventive maintenance (PM) actions. The PM scheduling, in which PM actions are performed under fixed intervals, is solved by grey systems theory. Design/methodology/approach The paper applied the grey evaluation method based on triangular whitenization weight functions which includes two classes: endpoint evaluation method and center-point evaluation method. Findings Two methods give the same results based on endpoint and center-point triangular whitenization weight functions. For validation, the results were compared by Cassady’s method. Originality/value The scheduling of PM is crucial in reliability and maintenance engineering. Hundreds of parts compose complex machines that require replacement and/or repairing. It is helpful to reduce the outage loss on frequent repair/replacement parts and avoid lack of maintenance of the equipment by controlling the equipment maintenance frequency.

2019 ◽  
Vol 26 (4) ◽  
pp. 555-574
Author(s):  
Khaled Alhamad ◽  
Mohammad Alhajri

Purpose The purpose of this paper is to describe a method that has been set up to schedule preventive maintenance (PM) tasks for power and water plants with all constraints such as production and maintenance. Design/methodology/approach The proposed methodology relies on the zero-one integer programming model that finds the maximum number of power and water units available in separate generating units. To verify this, the model was implemented and tested as a case study in Kuwait for the Cogeneration Station. Findings An effective solution can be achieved for scheduling the PM tasks and production at the power and water cogeneration plant. Practical implications The proposed model offers a practical method to schedule PM of power and water units, which are expensive equipment. Originality/value This proposed model is an effective decision-making tool that provides an ideal solution for preventive maintenance scheduling problems for power and water units in a cogeneration plant, effectively and complies with all constraints.


2015 ◽  
Vol 26 (2) ◽  
pp. 297-310 ◽  
Author(s):  
Hamed Maleki ◽  
Mohammad Taghi Taghavi Fard

Purpose – The time required for a certain task to be performed normally reduces on its frequent completion, as more units are produced over time, it is expected to have an increase in the total worker’s output performance. Learning curve (LC) is a mathematical representation to estimate the time of tasks which occurs repeatedly. The parameter prediction is considered a major disadvantage from which LC suffers. The purpose of this paper is to investigate grey systems theory as a method for the standard time. Design/methodology/approach – The proposed method starts with data which are obtained by traditional time study and then, models LC for an assembling activity of Electrogen Company. The paper studies the grey evaluation method based on triangular whitenization weight functions which includes two classes: endpoint triangular whitenization functions and center-point triangular whitenization functions. The grey system results are compared with those of the LC. Findings – The results show that the standard time given by grey systems theory is closer than the standard time given by LC to standard time with 100 per cent performance level. Originality/value – Scheduling problems are complex and uncertain, and it is very rare for such systems to be exactly determined in all their complexity. According to grey systems theory, the job processing time can be considered as the object that extension is definite but intension is uncertain. Consequently, grey systems theory with its focus on the uncertainty problems of small samples and incomplete information is proposed in the paper.


2017 ◽  
Vol 2 (2) ◽  
pp. 114-125 ◽  
Author(s):  
Jianfeng Zheng ◽  
Cong Fu ◽  
Haibo Kuang

Purpose This paper aims to investigate the location of regional and international hub ports in liner shipping by proposing a hierarchical hub location problem. Design/methodology/approach This paper develops a mixed-integer linear programming model for the authors’ proposed problem. Numerical experiments based on a realistic Asia-Europe-Oceania liner shipping network are carried out to account for the effectiveness of this model. Findings The results show that one international hub port (i.e. Rotterdam) and one regional hub port (i.e. Zeebrugge) are opened in Europe. Two international hub ports (i.e. Sokhna and Salalah) are located in Western Asia, where no regional hub port is established. One international hub port (i.e. Colombo) and one regional hub port (i.e. Cochin) are opened in Southern Asia. One international hub port (i.e. Singapore) and one regional hub port (i.e. Jakarta) are opened in Southeastern Asia and Australia. Three international hub ports (i.e. Hong Kong, Shanghai and Yokohama) and two regional hub ports (i.e. Qingdao and Kwangyang) are opened in Eastern Asia. Originality/value This paper proposes a hierarchical hub location problem, in which the authors distinguish between regional and international hub ports in liner shipping. Moreover, scale economies in ship size are considered. Furthermore, the proposed problem introduces the main ports.


2019 ◽  
Vol 9 (1) ◽  
pp. 114-127 ◽  
Author(s):  
Ewa Wiecek-Janka ◽  
Marcin Nowak ◽  
Arkadiusz Borowiec

PurposeThis paper is a part of the application trend of the development of the grey systems theory. The purpose of this paper is to present the use of the GDM model in the diagnosis of the occurrence of crises in family businesses. The issue of the occurrence of conflicts and crises in family businesses is one of the most important and common in management science in Poland.Design/methodology/approachIn the paper using the GDM model (in which the weights of the criteria were determined using the modified Thurstone method), the authors presented a way to diagnose the occurrence of crises in family businesses for a sample of Polish family businesses using, among others, a questionnaire-based survey.FindingsAs a result of the conducted research, it turned out that in eight surveyed businesses no symptoms of conflicts were diagnosed. In three businesses, the symptoms of conflicts were diagnosed, but they did not threaten their existence. In the case of four businesses, the symptoms of crisis that threaten their existence were diagnosed and immediate remedial action was recommended to them.Originality/valueThe authors are of the opinion that the presented research results may be a reason for the validity of using the GDM model in the diagnosis of crises in family businesses. At the same time, it is recommended to undertake further research on,inter alia, conflict fields in family businesses, or on the use of the modified Thurstone method as a part of determining the validity of decision-making criteria in GDM models.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rohit Ramakrishna Nadkarni ◽  
Bimal Puthuvayi

PurposeThe identification (listing) and classification (grading) of urban heritage buildings for conservation is a challenging task for urban planners and conservation architects. Most of the world's cities depend on the expert-based evaluation method (EBEM) for listing and grading heritage buildings. The Panaji city in India provided a unique opportunity to assess the performance of the EBEM as two independent agencies carried out the heritage listing and grading process. Considering the case of Panaji, this research aims to measure the performance of EBEM used for listing and grading heritage buildings and identify the issues associated with the existing methodology.Design/methodology/approachThis research presents a comparative analysis of the building listed and graded by the two agencies. The buildings that both agencies graded were identified and analysed using a confusion matrix. The grading classification was tested for accuracy, precision, sensitivity and F-score.FindingsThe result shows a low accuracy and F-score, which reflects the level of buildings misclassified. The misclassification is the product of the lack of standardisation of methodology and the subjectivity level involved in the EBEM.Originality/valueHeritage listing and grading is a time-consuming process, and no city has the time and resource to conduct studies to check the accuracy. The cities in India and across the world, which follow a similar EBEM process, should consider this study's finding and revisit their methodology and develop a more reliable methodology for listing and grading heritage buildings.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Giuseppe Aiello ◽  
Julio Benítez ◽  
Silvia Carpitella ◽  
Antonella Certa ◽  
Mario Enea ◽  
...  

PurposeThis study aims to propose a decision support system (DSS) for maintenance management of a service system, namely, a street cleaning service vehicle. Referring to the information flow management, the blockchain technology is integrated in the proposed DSS to assure data transparency and security.Design/methodology/approachThe DSS is designed to efficiently handle the data acquired by the network of sensors installed on selected system components and to support the maintenance management. The DSS supports the decision makers to select a subset of indicators (KPIs) by means of the DEcision-MAaking Trial and Evaluation Laboratory method and to monitor the efficiency of performed preventive maintenance actions by using the mathematical model.FindingsThe proposed maintenance model allows real-time decisions on interventions on each component based on the number of alerts given by sensors and taking into account the annual cost budget constraint.Research limitations/implicationsThe present paper aims to highlight the implications of the blockchain technology in the maintenance field, in particular to manage maintenance actions’ data related to service systems.Practical implicationsThe proposed approach represents a support in planning, executing and monitoring interventions by assuring the security of the managed data through a blockchain database. The implications regard the monitoring of the efficiency of preventive maintenance actions on the analysed components.Originality/valueA combined approach based on a multi-criteria decision method and a novel mathematical programming model is herein proposed to provide a DSS supporting the management of predictive maintenance policy.


2019 ◽  
Vol 1 (1) ◽  
pp. 30-44 ◽  
Author(s):  
Yuqiang Wang ◽  
Yuguang Wei ◽  
Hua Shi ◽  
Xinyu Liu ◽  
Liyuan Feng ◽  
...  

Purpose The purpose of this paper is to study the unit train make-up scheme for loaded direction in the heavy haul railway. Design/methodology/approach A 0-1 nonlinear integer programming model with the aim of minimizing the idling period between actual train arrival time and expected train arrival time for all loaded unit trains are proposed. Findings The proposed model is applied into a case study based on Daqin heavy haul railway. Results show that the proposed model can offer operators an optimal unit train make-up scheme for loaded direction in heavy haul railway. Originality/value The proposed model can offer operators an optimal unit train make-up scheme for loaded direction in heavy haul railway.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rodrigo Martins ◽  
Francisco Fernandes ◽  
Virginia Infante ◽  
Antonio R. Andrade

PurposeThe purpose of this paper is to describe an integer linear programming model to schedule the maintenance crew and the maintenance tasks in a bus operating company.Design/methodology/approachThe proposed methodology relies on an integer linear programming model that finds feasible maintenance schedules. It minimizes the costs associated with maintenance crew and the costs associated with unavailability. The model is applied in a real-world case study of a Portuguese bus operating company. A constructive heuristic approach is put forward, based on solving the maintenance scheduling problem for each bus separately.FindingsThe heuristic finds better solutions than the exact methods (based on branch-and-bound techniques) in a much lower computational time.Practical implicationsThe results suggest the relevance of such heuristic approaches for maintenance scheduling in practice.Originality/valueThis proposed model is an effective decision-making support method that provides feasible maintenance schedules for the maintenance technicians and for the maintenance tasks in a fleet of buses. It also complies with several operational, technical and labour constraints.


2010 ◽  
Vol 5 (1) ◽  
pp. 54-62 ◽  
Author(s):  
Rafael Pastor ◽  
Albert Corominas

PurposeThe purpose of this paper is to propose a bicriteria integer programming model for hierarchical workforce scheduling in which the first criterion is the cost and the second is the suitability of task assignment to individual employees. The model is based on the integer programming formulation for the hierarchical workforce scheduling problem published in 2007 by Seçkiner et al., which extends the model proposed by Billionnet in 1999.Design/methodology/approachThe principal hypothesis of this paper is that, although an employee is capable of performing several different tasks with equal efficiency, the type of task to which he/she is assigned affects the overall suitability of the assignment configuration. Therefore, cost‐minimising solutions should also optimise task assignment when possible. This paper considers real cases and confirm that this approach to the problem is appropriate for dealing with common situations in personnel management.FindingsThe proposed idea is applied to the example problem used by Seçkiner et al. and the results are compared with Seçkiner et al.'s model results.Originality/valueConsequently, the proposal is more general and a more faithful representation of the problems faced by personnel managers, which should help to bridge the gap between academic studies and practical cases.


2014 ◽  
Vol 4 (1) ◽  
pp. 124-136 ◽  
Author(s):  
Yu Zhang ◽  
Jie Ni ◽  
Jian Liu ◽  
Li-rong Jian

Purpose – This paper aims to investigate the performance of Jiangsu Province industrial technology innovation strategy alliance. Design/methodology/approach – Through a preliminary investigation of 30 Jiangsu industrial technology innovation strategic alliances, this paper analyzed the status and extracted 18 alliances to conduct an in-depth investigation. By grey evaluation method based on center-point triangular whitenization weight function, the paper classified and analyzed alliances. Findings – The results show that university or research institutions-oriented alliance perform better, but the government/enterprise-oriented alliance perform diverse, and majority is rated “general”. Originality/value – The paper succeeds in clustering analysis to Jiangsu Province industrial technology innovation strategy alliance with insufficient data. And according to the result of clustering, it analyzes the causes, which provide value information for the sustainable development of Jiangsu Province industrial technology innovation strategy alliance.


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