scholarly journals Simulation and Comparison Analysis of Due Date Assignment Methods Using Scheduling Rules in a Job Shop Production System

2015 ◽  
Vol 6 (5) ◽  
pp. 29-40
Author(s):  
Fitsum Getachew ◽  
Eshetie Berhan
Keyword(s):  
Production System ◽  
Job Shop ◽  
Comparison Analysis ◽  
Due Date ◽  
Due Date Assignment

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.

Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments

2014 ◽  
Vol 22 (1) ◽  
pp. 105-138 ◽  
Author(s):  
Su Nguyen ◽  
Mengjie Zhang ◽  
Mark Johnston ◽  
Kay Chen Tan
Keyword(s):  
Genetic Programming ◽  
Job Shop ◽  
Experimental Results ◽  
Job Shops ◽  
Due Date ◽  
Dynamic Nature ◽  
Due Date Assignment ◽  
Delivery Performance ◽  
Aggregate Information ◽  
Assignment Models

Due-date assignment plays an important role in scheduling systems and strongly influences the delivery performance of job shops. Because of the stochastic and dynamic nature of job shops, the development of general due-date assignment models (DDAMs) is complicated. In this study, two genetic programming (GP) methods are proposed to evolve DDAMs for job shop environments. The experimental results show that the evolved DDAMs can make more accurate estimates than other existing dynamic DDAMs with promising reusability. In addition, the evolved operation-based DDAMs show better performance than the evolved DDAMs employing aggregate information of jobs and machines.

Due Date Assignment in a Multistage Job Shop

1989 ◽  
Vol 21 (2) ◽  
pp. 153-161 ◽  
Author(s):  
TIMOTHY D. FRY ◽  
PATRICK R. PHILIPOOM ◽  
ROBERT E. MARKLAND
Keyword(s):  
Job Shop ◽  
Due Date ◽  
Due Date Assignment
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