Publication:
Flow-Shop Scheduling with Transportation Capacity and Time Consideration
Flow-Shop Scheduling with Transportation Capacity and Time Consideration
No Thumbnail Available
Files
Date
2022
Authors
Chia-Nan Wang
Glen Andrew Porter
Ching-Chien Huang
Viet Tinh Nguyen
Syed Tam Husain
Journal Title
Journal ISSN
Volume Title
Publisher
Research Projects
Organizational Units
Journal Issue
Abstract
Planning and scheduling is one of the most important activity in
supply chain operation management. Over the years, there have been multiple
researches regarding planning and scheduling which are applied to improve
a variety of supply chains. This includes two commonly used methods which
are mathematical programming models and heuristics algorithms. Flowshop
manufacturing systems are seen normally in industrial environments but few
have considered certain constraints such as transportation capacity and transportation
time within their supply chain. A two-stage flowshop of a single
processing machine and a batch processing machine are considered with their
capacity and transportation time between twomachines. The objectives of this
research are to build a suitable mathematical model capable of minimizing
the maximum completion time, to propose a heuristic optimization algorithm
to solve the problem, and to develop an applicable program of the heuristics
algorithm. AMixed Integer Programming (MIP) model and a heuristics optimization
algorithmwas developed and tested using a randomly generated data
set for feasibility. The overall results and performance of each approach was
compared between the two methods that would assist the decision maker in
choosing a suitable solution for their manufacturing line.
Description
Keywords
"Scheduling,
two-stage flowshop,
supply chain management,
transportation,
batch processing machine,
heuristic"