Ventilation of Composites Repair Facility McClellan AFB, CA

1990 ◽  
Author(s):  
John F. Seibert
Keyword(s):  
Repair Facility

Analysis of R-out-of-N repairable systems: the case of phase-type distributions

2004 ◽  
Vol 36 (1) ◽  
pp. 116-138 ◽  
Author(s):  
Yonit Barron ◽  
Esther Frostig ◽  
Benny Levikson
Keyword(s):  
Repairable System ◽  
Repairable Systems ◽  
Regenerative Processes ◽  
Numerical Examples ◽  
Independent Components ◽  
Duality Results ◽  
Phase Type ◽  
Phase Type Distributions ◽  
Two Systems ◽  
Repair Facility

An R-out-of-N repairable system, consisting of N independent components, is operating if at least R components are functioning. The system fails whenever the number of good components decreases from R to R-1. A failed component is sent to a repair facility. After a failed component has been repaired it is as good as new. Formulae for the availability of the system using Markov renewal and semi-regenerative processes are derived. We assume that either the repair times of the components are generally distributed and the components' lifetimes are phase-type distributed or vice versa. Some duality results between the two systems are obtained. Numerical examples are given for several distributions of lifetimes and of repair times.

scholarly journals A New Approach for Analyzing the Reliability of the Repair Facility in a Series System with Vacations

2012 ◽  
Vol 2012 ◽  
pp. 1-16
Author(s):  
Renbin Liu ◽  
Yong Wu
Keyword(s):  
Renewal Process ◽  
Decomposition Method ◽  
Process Theory ◽  
Series System ◽  
New Approach ◽  
Numerical Examples ◽  
Special Cases ◽  
The Mean ◽  
Repair Facility

Based on the renewal process theory we develop a decomposition method to analyze the reliability of the repair facility in ann-unit series system with vacations. Using this approach, we study the unavailability and the mean replacement number during(0,t]of the repair facility. The method proposed in this work is novel and concise, which can make us see clearly the structures of the facility indices of a series system with an unreliable repair facility, two convolution relations. Special cases and numerical examples are given to show the validity of our method.

Integrated Lot Sizing Model for a Multi-type Container Return System with Shared Repair Facility and Possible Storage Constraint

2021 ◽  
pp. 167-186
Author(s):  
Olufemi Adetunji ◽  
Sarma V. S. Yadavalli ◽  
Rafid B. D. Al-Rikabi ◽  
Makoena Sebatjane
Keyword(s):  
Lot Sizing ◽  
Repair Facility ◽  
Storage Constraint

scholarly journals Railroad Buildings of Eskişehir: Challenges and Opportunities for Industrial Heritage

Heritage ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 435-451
Author(s):  
Betül Ekimci ◽  
Feray Ergincan ◽  
Mehmet İnceoğlu
Keyword(s):  
Cultural Heritage ◽  
Public Awareness ◽  
Shared Responsibility ◽  
Public Places ◽  
Industrial Heritage ◽  
Heritage Sites ◽  
Challenges And Opportunities ◽  
Fast Development ◽  
Urban Problems ◽  
Repair Facility

While railways are considered as a sign of development for countries, the railway structures are part of the industrial heritage of cities and comprise some of the most important urban public places. In Turkey, the Eskişehir railway buildings, constructed between 1886 and 1894, are at the west of the main railroad between the Enveriye and Eskişehir stations. They are also public places having strong resonance in the collective memory. Because of the fast development in technology, they face the threat of losing their function. Conservation of former industrial structures requires, first and foremost, identifying and documenting the distinctive features that makes them cultural heritage sites. It is a shared responsibility between public institutions and sectors to identify and protect the distinguishing features of industrial heritage sites. With this awareness, at the Anadolu University Architecture Department, integrated student work focused on the Railroad Roundhouse—built in 1896—and Staff Housing Quarters—built in the early 20th century—which are part of this district and embody a series of urban problems, was carried out over four academic semesters. This study focuses on historic railway buildings in the Eskişehir railway district that is known for its urban problems. An exhibition combining these student works was opened at the Railcar Repair Facility on 16 November 2017. This exhibition showcased the student involvement in history of Eskişehir and increased public awareness of cultural heritage.

scholarly journals A TWO-ECHELON SPARE PARTS NETWORK WITH LATERAL AND EMERGENCY SHIPMENTS: A PRODUCT-FORM APPROXIMATION

2017 ◽  
Vol 32 (4) ◽  
pp. 536-555 ◽  
Author(s):  
Richard J. Boucherie ◽  
Geert-Jan van Houtum ◽  
Judith Timmer ◽  
Jan-Kees van Ommeren
Keyword(s):  
Steady State ◽  
Spare Parts ◽  
Inventory System ◽  
Product Form ◽  
Steady State Distribution ◽  
State Distribution ◽  
Poisson Demand ◽  
Lateral Transshipment ◽  
Repair Facility ◽  
Erlang Loss

We consider a single-item, two-echelon spare parts inventory model for repairable parts for capital goods with high downtime costs. The inventory system consists of multiple local warehouses, a central warehouse, and a central repair facility. When a part at a customer fails, if possible his request for a ready-for-use part is fulfilled by his local warehouse. Also, the failed part is sent to the central repair facility for repair. If the local warehouse is out of stock, then, via an emergency shipment, a ready-for-use part is sent from the central warehouse if it has a part in stock. Otherwise, it is sent via a lateral transshipment from another local warehouse, or via an emergency shipment from the external supplier. We assume Poisson demand processes, generally distributed leadtimes for replenishments, repairs, and emergency shipments, and a basestock policy for the inventory control.Our inventory system is too complex to solve for a steady-state distribution in closed form. We approximate it by a network of Erlang loss queues with hierarchical jump-over blocking. We show that this network has a product-form steady-state distribution. This enables an efficient heuristic for the optimization of basestock levels, resulting in good approximations of the optimal costs.

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