BATCH SCHEDULING MODEL FOR A FLOW SHOP TWOSTAGE PROCESSING MULTI-ITEM WITH CONSIDERATION OF THE DETERIORATION PROCESS IN STAGE ONE AND LEARNING-FORGETTING PROCESS IN STAGE TWO TO MINIMIZE TOTAL ACTUAL FLOW TIME

This research concerns a batch scheduling problem with the process time used in the existing batch scheduling research can vary. One of the factors influencing processing time is machine deterioration and learning-forgetting process. The effect of the deterioration can results in a longer process...

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Main Author: Noviani Sudarman, Nisa
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/56276
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:56276
spelling id-itb.:562762021-06-21T18:14:06ZBATCH SCHEDULING MODEL FOR A FLOW SHOP TWOSTAGE PROCESSING MULTI-ITEM WITH CONSIDERATION OF THE DETERIORATION PROCESS IN STAGE ONE AND LEARNING-FORGETTING PROCESS IN STAGE TWO TO MINIMIZE TOTAL ACTUAL FLOW TIME Noviani Sudarman, Nisa Indonesia Theses scheduling, batch, flow shop, common due date, deteriorating machines, learning-forgetting process, actual flow time. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/56276 This research concerns a batch scheduling problem with the process time used in the existing batch scheduling research can vary. One of the factors influencing processing time is machine deterioration and learning-forgetting process. The effect of the deterioration can results in a longer process time due to decreased machine capability, as well as an increase in service life or usage. The effect of the learning process can result in a faster product processing time due to an increase in operator experience in processing the product. Meanwhile, the effect of the forgetting process can result in slower product processing times due to the lag time between processing of the same product. This research proposes a batch scheduling model for a flow shop with a processing tow-item with considering of the deterioration process in Stage One and learningforgetting process in Stage Two. The objectives is to minimize total actual flow time. The decision variables in this research are number of batch (????), batch size (Qi), and batch processing sequence. The problem-solving method was developed by proposed heuristic algorithms.The proposed algorithm is consist of batching sub algorithm, and sequence sub algorithm. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description This research concerns a batch scheduling problem with the process time used in the existing batch scheduling research can vary. One of the factors influencing processing time is machine deterioration and learning-forgetting process. The effect of the deterioration can results in a longer process time due to decreased machine capability, as well as an increase in service life or usage. The effect of the learning process can result in a faster product processing time due to an increase in operator experience in processing the product. Meanwhile, the effect of the forgetting process can result in slower product processing times due to the lag time between processing of the same product. This research proposes a batch scheduling model for a flow shop with a processing tow-item with considering of the deterioration process in Stage One and learningforgetting process in Stage Two. The objectives is to minimize total actual flow time. The decision variables in this research are number of batch (????), batch size (Qi), and batch processing sequence. The problem-solving method was developed by proposed heuristic algorithms.The proposed algorithm is consist of batching sub algorithm, and sequence sub algorithm.
format Theses
author Noviani Sudarman, Nisa
spellingShingle Noviani Sudarman, Nisa
BATCH SCHEDULING MODEL FOR A FLOW SHOP TWOSTAGE PROCESSING MULTI-ITEM WITH CONSIDERATION OF THE DETERIORATION PROCESS IN STAGE ONE AND LEARNING-FORGETTING PROCESS IN STAGE TWO TO MINIMIZE TOTAL ACTUAL FLOW TIME
author_facet Noviani Sudarman, Nisa
author_sort Noviani Sudarman, Nisa
title BATCH SCHEDULING MODEL FOR A FLOW SHOP TWOSTAGE PROCESSING MULTI-ITEM WITH CONSIDERATION OF THE DETERIORATION PROCESS IN STAGE ONE AND LEARNING-FORGETTING PROCESS IN STAGE TWO TO MINIMIZE TOTAL ACTUAL FLOW TIME
title_short BATCH SCHEDULING MODEL FOR A FLOW SHOP TWOSTAGE PROCESSING MULTI-ITEM WITH CONSIDERATION OF THE DETERIORATION PROCESS IN STAGE ONE AND LEARNING-FORGETTING PROCESS IN STAGE TWO TO MINIMIZE TOTAL ACTUAL FLOW TIME
title_full BATCH SCHEDULING MODEL FOR A FLOW SHOP TWOSTAGE PROCESSING MULTI-ITEM WITH CONSIDERATION OF THE DETERIORATION PROCESS IN STAGE ONE AND LEARNING-FORGETTING PROCESS IN STAGE TWO TO MINIMIZE TOTAL ACTUAL FLOW TIME
title_fullStr BATCH SCHEDULING MODEL FOR A FLOW SHOP TWOSTAGE PROCESSING MULTI-ITEM WITH CONSIDERATION OF THE DETERIORATION PROCESS IN STAGE ONE AND LEARNING-FORGETTING PROCESS IN STAGE TWO TO MINIMIZE TOTAL ACTUAL FLOW TIME
title_full_unstemmed BATCH SCHEDULING MODEL FOR A FLOW SHOP TWOSTAGE PROCESSING MULTI-ITEM WITH CONSIDERATION OF THE DETERIORATION PROCESS IN STAGE ONE AND LEARNING-FORGETTING PROCESS IN STAGE TWO TO MINIMIZE TOTAL ACTUAL FLOW TIME
title_sort batch scheduling model for a flow shop twostage processing multi-item with consideration of the deterioration process in stage one and learning-forgetting process in stage two to minimize total actual flow time
url https://digilib.itb.ac.id/gdl/view/56276
_version_ 1822002318420213760