Main Article Content
Abstract
In a mass production system, work stationsare designed base on the production process flow. This layout is called flowshop. The advantage of flowshoplays on it simple material flow. Therefore, the material transportation time can be minimized and the total production time is shortened respectively. Generally, flowshop scheduling applies Johnson algorithm, Campbell, Dudek and Smith (CDS). Nevertheless, those algorithms are just an approach. Therefore it can’t provide an optimal solution. This article explain the flexible flowshop scheduling with Mixed Integer Programming (MIP). Every parts type scheduled will not enter the same work station and some work station are served manually by an operator that leads to a dynamics process time. Simulation is applied to estimate the process time in those work station. A case study is utilize for this purpose. The makespan of the proposed model exhibits a 14 minutes shorter that the initial time.
Article Details
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).