Computational Stochastic Multistage Manufacturing Systems with Strikes and Other Adverse Random Events
نویسندگان
چکیده
Multistage manufacturing systems (MMS) are models for the assembly of consumable goods. In the simple case, a linear assembly line of workstations, components, or value, are added to the product. Some examples assembly line products are automobiles or printed circuit boards. Production scheduling typically takes in to account workstation repair, failure, and defective pieces as stochastic events, effecting the workstation production rates. The supply routing problem of raw materials is not usually taken into account. However, in this treatment, the effects of strikes and natural disasters, which may affect the routing of raw materials, are considered for the MMS. Numerical results illustrate the optimal control of MMS undergoing strikes, as well as workstation repair and failure.
منابع مشابه
Multi-Objective Lead Time Control in Multistage Assembly Systems (TECHNICAL NOTE)
In this paper we develop a multi-objective model to optimally control the lead time of a multistage assembly system. The multistage assembly system is modeled as an open queueing network, whose service stations represent manufacturing or assembly operations. The arrival processes of the individual parts of the product, which should be assembled to each other in assembly stations, are assumed to...
متن کاملStochastic Decision Making in Manufacturing Environments
Decision making plays an important role in economics, psychology, philosophy, mathematics, statistics and many other fields. In each field, decision making consists of identifying the values, uncertainties and other issues that define the decision. In any field, the nature of the decisions is affected by environmental characteristics. In this paper, we are considered the production planning pro...
متن کاملNonlinear State Dynamics, Computational Approximations and Multistage Manufacturing System Application
In this paper, we treat stochastic optimal control problems that are nonlinear in the state, but otherwise are a Linear-Quadratic-Gaussian-Poisson problem in the control (LQGP/U), such that the dynamics are linear in the control with quadratic costs in control. The uncertainty in the environment is modeled by Gaussian noise for continuous background uctuations and discrete random jumps by Pois-...
متن کاملSolving a Stochastic Cellular Manufacturing Model by Using Genetic Algorithms
This paper presents a mathematical model for designing cellular manufacturing systems (CMSs) solved by genetic algorithms. This model assumes a dynamic production, a stochastic demand, routing flexibility, and machine flexibility. CMS is an application of group technology (GT) for clustering parts and machines by means of their operational and / or apparent form similarity in different aspects ...
متن کاملMedium Term Hydroelectric Production Planning - A Multistage Stochastic Optimization Model
Multistage stochastic programming is a key technology for making decisions over time in an uncertain environment. One of the promising areas in which this technology is implementable, is medium term planning of electricity production and trading where decision makers are typically faced with uncertain parameters (such as future demands and market prices) that can be described by stochastic proc...
متن کامل