نتایج جستجو برای: no idle hybrid flow shops
تعداد نتایج: 3819043 فیلتر نتایج به سال:
Background and purpose: Medicinal plants are among highly consumed natural drugs. Many herb shops produce and sell this products without any license. Traditional herbal distillates are widely used in Iran, so, the aim of this study was to determine ethanol and methanol concentrations in handmade herbal distillates in Tehran herb shops. Materials and methods: A total of 140 samples from 14 tra...
Production environment in modern industries, like integrated circuits manufacturing, fiberglass processing, steelmaking, and ceramic frit, is characterized by zero idle-time between inbound outbound jobs on every machine; this technical requirement improves energy efficiency, hence, has implications for cleaner production other situations. An exhaustive review of literature first conducted to s...
Traditionally, tolerance allocation and scheduling have been dealt with separately in the literature. The aim of tolerance allocation is to minimize the tolerance cost. When scheduling the sequence of product operations, the goal is to minimize the makespan, mean flow time, machine idle time, and machine idle time cost. Calculations of manufacturing costs derived separately using tolerance allo...
The design of engine control systems has been traditionally carried out using a mix of heuristic techniques validated by simulation and prototyping using approximate mean– value models. However, the ever increasing demands on passengers’ comfort, safety, emissions and fuel consumption imposed by car manufacturers and regulations call for more robust techniques and the use of cycle–accurate mode...
Idle speed control of ultra-lean burn engines continues to be a major focus of automotive engineers owing to the benefits offered in terms of fuel economy and emissions reduction. This paper applies a recently proposed linear time varying model predictive approach for the idle speed control of ultra-lean burn internal combustion engines. Unlike conventional gasoline engines, the approach uses f...
Abstract This proof-of-concept study provides a novel method for robust-stable scheduling in dynamic flow shops based on deep reinforcement learning (DRL) implemented with OpenAI frameworks. In realistic manufacturing environments, events endanger baseline schedules, which can require cost intensive re-scheduling. Extensive research has been done methods generating proactive schedules to absorb...
During an off-peak hour of a day, a Mobile Terminal (MT) can stay in idle mode for long time as there is no incoming or outgoing packet. An idle MT can move from one location to another and the wireless access network keeps tracking the idle MT. Idle MTs need to assist the wireless access network for location update; so that, on call arrival the network can route the call successfully. Mean whi...
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