Publication:
Flow-Shop Scheduling with Transportation Capacity and Time Consideration

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datacite.subject.fos oecd::Social sciences::Economics and Business
dc.contributor.author Chia-Nan Wang
dc.contributor.author Glen Andrew Porter
dc.contributor.author Ching-Chien Huang
dc.contributor.author Viet Tinh Nguyen
dc.contributor.author Syed Tam Husain
dc.date.accessioned 2022-11-02T00:55:45Z
dc.date.available 2022-11-02T00:55:45Z
dc.date.issued 2022
dc.description.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.
dc.identifier.doi 10.32604/cmc.2022.020222
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/554
dc.language.iso en_US
dc.relation.ispartof Computers, Materials & Continua
dc.relation.issn 1546-2226
dc.subject "Scheduling
dc.subject two-stage flowshop
dc.subject supply chain management
dc.subject transportation
dc.subject batch processing machine
dc.subject heuristic"
dc.title Flow-Shop Scheduling with Transportation Capacity and Time Consideration
dc.type journal-article
dspace.entity.type Publication
oaire.citation.issue 2
oaire.citation.volume 70
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Journal Articles - Business and Management - 2022