Interoperability between manufacturing software applications and simulation is currently extremely limited. A machine shop information model has been developed at the National Institute of Standards and Technology (NIST) as a part of system interoperability efforts. The primary objective is to develop a standard-data-interface structure for exchanging shop data among various manufacturing softw...

production planning is performed through diverse methods according to the type of the system it is structured upon. one of the most important steps before production planning is to determine which system best fits the firm, and how the facilities should be designed. both job-shop and group-technology systems have their own cons and pros, each of which is suitable to a specific kind of factory. ...

Stochastic dynamic job shop scheduling problem with consideration of sequence-dependent setup times are among the most difficult classes of scheduling problems. This paper assesses the performance of nine dispatching rules in such shop from makespan, mean flow time, maximum flow time, mean tardiness, maximum tardiness, number of tardy jobs, total setups and mean setup time performance measures ...

By Surgn.-Capt. R. Bird, m.d., f.r.c.sKohima. About 2 a.m., on the morning of 2nd September 1893, a bunnia of Kohima bazaar was attacked by thieves in his shop. He received a heavy blow on the forehead, but followed his assailant outside the shop. He crawled back to his shop and narrated what had occurred to his friends, He complained of much pain in his head, and commenced to gradually lose co...

This paper presents the salient aspects of a simulation-based experimental study of scheduling rules for scheduling a dynamic job shop in which the setup times are sequence dependent. A discrete event simulation model of the job shop system is developed for the purpose of experimentation. Seven scheduling rules from the literature are incorporated in the simulation model. Five new setup-oriente...

Genetic algorithms are a very popular heuristic which have been successfully applied to many optimization problems within the last 30 years. In this chapter, we give a survey on some genetic algorithms for shop scheduling problems. In a shop scheduling problem, a set of jobs has to be processed on a set of machines such that a specific optimization criterion is satisfied. According to the restr...

A hybrid flow shop (HFS) is a generalized flow shop with multiple machines in some stages. HFS is fairly common in flexible manufacturing and in process industry. Because manufacturing systems often operate in a stochastic and dynamic environment, dynamic hybrid flow shop scheduling is frequently encountered in practice. This paper proposes a neural network model and algorithm to solve the dyna...