Analysis and Control of Uncertain Job Flow in Manufacturing
Date Issued
2005
Date
2005
Author(s)
Su, Chia-Hong
DOI
zh-TW
Abstract
The semiconductor supply chains are full of uncertainties and replete with dynamic events of process variation, engineering changes, operation excursions, and demand changes. These events could have profound effects on the operations for the supply chains, resulting in large variation and low predictability in performance. Besides, the supply chains are long in geographical distance, segmented in ownership, varied in business objectives, and demanding in collaboration. The challenges of supply chains lie in effective collaboration between engineering and manufacturing, service monitoring and control, and achieving reliable delivery performance.
The new paradigm of manufacturing services requires new methods of operation control. The objective of this thesis is to propose to develop enabling technologies for collaborative planning and scheduling in semiconductor supply chains, and to enhance the controllability of supply chain operations and predictability of delivery performance. We developed an order-centric operation control model of uncertain job flow in supply chains. In order to enhance the service quality and reliability, we provide customers with the advanced information of delay orders under uncertainty by revised scheduling. On the other hand, we analyzed the factors of queuing delay, the effects of factors on mean flow time and its behavior. We applied scheduling methods to analyze the effects of lots arrival rate, capacity, and capacity loss due to uncertainty on mean flow time, and to simulate the queuing delay in dynamic system.
Subjects
供應鏈
生產規劃及控制
不確定性
佇列等候時間延遲
Supply chain
Production planning and control
Uncertainty
Queuing delay
SDGs
Type
thesis
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