Publication

Dynamic scheduling for production systems operating in a random environment

Fabrice Dusonchet
2003
Theses

Abstract

Due to the steady tendency to propose highly customized products and to respond to volatile (i.e random) demands, Flexible Manufacturing Systems (FMS) are now present in most shopfloors. In this thesis, flexibility in a FMS is understood as the ability of a single production cell to deliver several different types of items, say N. The production capacity is usually limited in the sense that only one or K

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Fabrice Dusonchet
2003
Theses

Abstract

Official source

Related concepts (32)

Rate-monotonic scheduling

In computer science, rate-monotonic scheduling (RMS) is a priority assignment algorithm used in real-time operating systems (RTOS) with a static-priority scheduling class. The static priorities are assigned according to the cycle duration of the job, so a shorter cycle duration results in a higher job priority. These operating systems are generally preemptive and have deterministic guarantees with regard to response times. Rate monotonic analysis is used in conjunction with those systems to provide scheduling guarantees for a particular application.

Job-shop scheduling

Job-shop scheduling, the job-shop problem (JSP) or job-shop scheduling problem (JSSP) is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling. In a general job scheduling problem, we are given n jobs J1, J2, ..., Jn of varying processing times, which need to be scheduled on m machines with varying processing power, while trying to minimize the makespan – the total length of the schedule (that is, when all the jobs have finished processing).

Demand

In economics, demand is the quantity of a good that consumers are willing and able to purchase at various prices during a given time. The relationship between price and quantity demand is also called the demand curve. Demand for a specific item is a function of an item's perceived necessity, price, perceived quality, convenience, available alternatives, purchasers' disposable income and tastes, and many other options. Innumerable factors and circumstances affect a consumer's willingness or to buy a good.

Related publications (32)

Dynamic scheduling for production systems operating in a random environment

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