Eylem Seç
Optimization of an Asynchronous Manufacturing Production System Incorporating Mixed Operational Cycle Time Variation
Başlık:
Optimization of an Asynchronous Manufacturing Production System Incorporating Mixed Operational Cycle Time Variation
Yazar:
Krstovski, Saso, author.
ISBN:
9780438039414
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (135 pages)
Genel Not:
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Advisors: Ahad Ali Committee members: Daw Alwerfalli; Richard Furness; Liping Liu; Shahram Taj.
Özet:
In the history of the automotive industry, the challenges of being efficient and competitive have never been more critical as they are today. Globalization of the automotive operations and emergence of new automotive manufactures has created significant pressures on all automotive manufactures to update constantly their product offerings. In order to adapt quickly to the customer demands manufacturing operations have implemented flexible manufacturing systems throughout their operations.
A machining line used to produce cases for vehicle automatic transmissions was the focus of this applied research. Due to its constraint state within manufacturing of transmissions was the reasoning for choosing this operation. The process consists of single and parallel path operations with highly automated part routing capabilities. Throughput of the system varies daily and at times hourly due to events within the manufacturing system. Complexity of system generates multiple factors that contribute to the performance.
This proposed research characterizes an asynchronous manufacturing production system incorporating mixed operational cycle time variation in automotive transmission systems. Utilizing a reverse engineering approach by capturing actual equipment data and then incorporating it into a developed simulation is key to the development of the robust model that accurately reflects the actual system performance. Variation was introduced into the model by a specific date window for Mean Time Before Failure (MTBF) and Mean Time To Repair (MTTR) of equipment that supported the equipment's performance at maximum, minimum and average output levels. Any equipment cycle time that did not support a normal distribution was used as a factor in the Design of Experiment (DOE) to augment the current simulation model. This strategic approach developed a model that produced minimal error for various production date windows. The new simulation model was used to characterize the manufacturing system's part routing, actual equipment cycle time variation, schedule maintenance tasks, and breakdown recovery within scenario decision analysis. The research goal was to discover innovative strategies for balance decision options for particular manufacturing events. Quantify effects of equipment cycle time variation within sub-cell operations and how it contributes to upstream and downstream operations performance. Discover key input factors that minimize system recovery time to baseline performance after equipment breakdown. Manipulate equipment preventive maintenances tasks to provide strategic deployment during normal production schedule that delivers the least impact to throughput. This research provides insight into how these four key core components contribute to overall system throughput. It quantified effects and discovered key factors to consider for optimization of throughput.
Company secret information limited publication of actual data used within this applied research. All analysis was performed with actual manufacturing system data. Publication data was transformed into percentage of actual figures. Utilizing this sudu approach did not affect validity of results and protected company confidentially.
Notlar:
School code: 0332
Konu Başlığı:
Tüzel Kişi Ek Girişi:
Mevcut:*
Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(682642.1) | 682642-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
On Order
Liste seç
Bunu varsayılan liste yap.
Öğeler başarıyla eklendi
Öğeler eklenirken hata oldu. Lütfen tekrar deneyiniz.
:
Select An Item
Data usage warning: You will receive one text message for each title you selected.
Standard text messaging rates apply.