scholarly journals A Production Scheduling System for Batch Plants

1993 ◽  
Vol 29 (7) ◽  
pp. 843-850
Author(s):  
Shoji TOMITA ◽  
Shigeru FUJIMURA ◽  
Ryouichi HIMONO
Keyword(s):  
Production Scheduling ◽  
Scheduling System ◽  
Batch Plants

Research on DBR Production Scheduling System Application Based on Simulation

2014 ◽  
Vol 889-890 ◽  
pp. 1207-1212
Author(s):  
Guo En Sun ◽  
Zai Lin Guan ◽  
Lei Yue ◽  
Zhi Ming Zheng ◽  
Han Lin
Keyword(s):  
Production Scheduling ◽  
Simulation Optimization ◽  
Production Capacity ◽  
Production Plan ◽  
Process Scheduling ◽  
Scheduling System ◽  
Work In Process ◽  
Planning Methods ◽  
On Time Delivery ◽  
High Output

Traditional planning methods ignore the enterprise production capacity,the paper depend on the specific case in enterprise production to build a Production Scheduling System which applies Drum-Buffer-Rope theory. This system proposes the high output, low work in process and on time delivery as the goals, considering the bottleneck resource as well as providing the master production plan with the bottleneck resource, in addition employing the simulation optimization software-Simio to optimize the bottleneck process scheduling and raise the utilization ratio of bottleneck resource.

scholarly journals ANALISA PERBANDINGAN PENJADWALAN PRODUKSI DENGAN METODE CDS (CAMPBELL DUDEK SMITH), EDD (EARLIEST DUE DATE) DAN FCFS (FIRST COME FIRST SERVE) PADA PT. SARI WARNA ASLI UNIT V

2021 ◽  
Vol 1 (2) ◽  
pp. 46-51
Author(s):  
Dwi Ayu Lestari, Vikha Indira Asri
Keyword(s):  
Production Process ◽  
Production System ◽  
Production Scheduling ◽  
Job Shop ◽  
Allocation Of Resources ◽  
Due Date ◽  
Scheduling System ◽  
Make To Order ◽  
First Come First Serve ◽  
Scheduling Method

Scheduling is defined as the process of sequencing the manufacture of a product as a whole on several machines. All industries need proper scheduling to manage the allocation of resources so that the production system can run quickly and precisely as of it can produce optimal product. PT. Sari Warna Asli Unit V is one of the companies that implements a make to order production system with the FCFS system. Thus, scheduling the production process at this company is also known as job shop production scheduling. The methods used in this research are the CDS method, the EDD method and the FCFS method. The purpose of this research is to minimize the production time and determine the best method that can be applied to the company. The results of this research showed that the makespan obtained in the company's scheduling system with FCFS rules was 458 minutes, and the results of scheduling using the CDS method obtained a makespan value of 329 minutes, then the best production scheduling method that had the smallest makespan value was the CDS method.

Advanced production scheduling for batch plants in process industries

OR Spectrum ◽  
2002 ◽  
Vol 24 (3) ◽  
pp. 251-279 ◽  
Author(s):  
Klaus Neumann ◽  
Christoph Schwindt ◽  
Norbert Trautmann
Keyword(s):  
Production Scheduling ◽  
Process Industries ◽  
Batch Plants ◽  
Advanced Production

A Design of Model and Algorithm of Intelligent Scheduling System in Enterprise Railway Shunting Plan

2014 ◽  
Vol 496-500 ◽  
pp. 1617-1621
Author(s):  
Bin Ge ◽  
Jiang Hong Han ◽  
Zhen Wei ◽  
Lei Cheng
Keyword(s):  
Production Scheduling ◽  
Algorithm Design ◽  
System Model ◽  
Vehicle Group ◽  
Railway Transport ◽  
New Thought ◽  
Scheduling System ◽  
New Strategy ◽  
Optimizing Model ◽  
Route Search

An intelligent preparation system model of enterprise railway shunting plan was described, and a station-based data structure was established. Through combining vehicle group and discussing route search method, a new thought of algorithm design and project of system implementation was given. A new strategy was proposed for optimizing model and algorithm of enterprise railway transport production scheduling.

scholarly journals Ant Colony Optimisation for Backward Production Scheduling

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Leandro Pereira dos Santos ◽  
Guilherme Ernani Vieira ◽  
Higor Vinicius dos R. Leite ◽  
Maria Teresinha Arns Steiner
Keyword(s):  
Production Scheduling ◽  
Food Industry ◽  
Optimal Solution ◽  
Computer Time ◽  
Ant Colony ◽  
Shop Floor ◽  
Ant Colony Optimisation ◽  
Complex Environment ◽  
Artificial Intelligence Technique ◽  
Scheduling System

The main objective of a production scheduling system is to assign tasks (orders or jobs) to resources and sequence them as efficiently and economically (optimised) as possible. Achieving this goal is a difficult task in complex environment where capacity is usually limited. In these scenarios, finding an optimal solution—if possible—demands a large amount of computer time. For this reason, in many cases, a good solution that is quickly found is preferred. In such situations, the use of metaheuristics is an appropriate strategy. In these last two decades, some out-of-the-shelf systems have been developed using such techniques. This paper presents and analyses the development of a shop-floor scheduling system that uses ant colony optimisation (ACO) in a backward scheduling problem in a manufacturing scenario with single-stage processing, parallel resources, and flexible routings. This scenario was found in a large food industry where the corresponding author worked as consultant for more than a year. This work demonstrates the applicability of this artificial intelligence technique. In fact, ACO proved to be as efficient as branch-and-bound, however, executing much faster.

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