DEVELOPING MODEL AND ALGORITHM OF SUPPLIER SELECTION FOR PERISHABLE MATERIAL WITH QUANTITY DISCOUNT AND PAYMENT METHOD

This research presents supplier selection and lot sizing problem (MLSSP) for perishable material with quantity discount and payment method. This problem occured when every supplier of perishable material offer different discount policy. If company buy some material in larger quantity, the price per...

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Main Author: E.N. SITEPU NIM: 23415001 , TEGUH
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/24498
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:24498
spelling id-itb.:244982017-10-02T09:25:18ZDEVELOPING MODEL AND ALGORITHM OF SUPPLIER SELECTION FOR PERISHABLE MATERIAL WITH QUANTITY DISCOUNT AND PAYMENT METHOD E.N. SITEPU NIM: 23415001 , TEGUH Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/24498 This research presents supplier selection and lot sizing problem (MLSSP) for perishable material with quantity discount and payment method. This problem occured when every supplier of perishable material offer different discount policy. If company buy some material in larger quantity, the price per unit will be cheaper. However, holding cost and perishable cost will be increase. Meanwhile, there is interest charge if total price higher than budget. This kind of problem is faced by PT. Dirgantara Indonesia (PT.DI). In 2016, PT. DI bought non metal material for Airbus Spirit 4% higher than required. As a result, holding cost and interest charge increased to 0,02% and 0,06% of total inventory cost. Therefore, this research will develop MLSSP model to minimize total iventory cost. <br /> <br /> <br /> The inverse function cause model is non linier. Hence, enumeration only satisfy small instance problem. Besides model development, this research will develop algorithm based on simulated anneling (SA). Initial solution is randomly generated with condition only one supplier is choosen to supply every material per period. Initial solution quality then improved by using 3 (three) operators, quantity modified, quantity move, and supplier exchange. Through a series of computational experiments, in average, the algorithm’s performance achieve 93,53% of optimal method with 1,21% computational time. Comparison between proposed method’s best solution dan referenced method’s best solution also indicate proposed method’s fitness function is 2,53% better than referenced method. Meanwhile, proposed method’s computational time is 3,32% faster than referenced method. 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 presents supplier selection and lot sizing problem (MLSSP) for perishable material with quantity discount and payment method. This problem occured when every supplier of perishable material offer different discount policy. If company buy some material in larger quantity, the price per unit will be cheaper. However, holding cost and perishable cost will be increase. Meanwhile, there is interest charge if total price higher than budget. This kind of problem is faced by PT. Dirgantara Indonesia (PT.DI). In 2016, PT. DI bought non metal material for Airbus Spirit 4% higher than required. As a result, holding cost and interest charge increased to 0,02% and 0,06% of total inventory cost. Therefore, this research will develop MLSSP model to minimize total iventory cost. <br /> <br /> <br /> The inverse function cause model is non linier. Hence, enumeration only satisfy small instance problem. Besides model development, this research will develop algorithm based on simulated anneling (SA). Initial solution is randomly generated with condition only one supplier is choosen to supply every material per period. Initial solution quality then improved by using 3 (three) operators, quantity modified, quantity move, and supplier exchange. Through a series of computational experiments, in average, the algorithm’s performance achieve 93,53% of optimal method with 1,21% computational time. Comparison between proposed method’s best solution dan referenced method’s best solution also indicate proposed method’s fitness function is 2,53% better than referenced method. Meanwhile, proposed method’s computational time is 3,32% faster than referenced method.
format Theses
author E.N. SITEPU NIM: 23415001 , TEGUH
spellingShingle E.N. SITEPU NIM: 23415001 , TEGUH
DEVELOPING MODEL AND ALGORITHM OF SUPPLIER SELECTION FOR PERISHABLE MATERIAL WITH QUANTITY DISCOUNT AND PAYMENT METHOD
author_facet E.N. SITEPU NIM: 23415001 , TEGUH
author_sort E.N. SITEPU NIM: 23415001 , TEGUH
title DEVELOPING MODEL AND ALGORITHM OF SUPPLIER SELECTION FOR PERISHABLE MATERIAL WITH QUANTITY DISCOUNT AND PAYMENT METHOD
title_short DEVELOPING MODEL AND ALGORITHM OF SUPPLIER SELECTION FOR PERISHABLE MATERIAL WITH QUANTITY DISCOUNT AND PAYMENT METHOD
title_full DEVELOPING MODEL AND ALGORITHM OF SUPPLIER SELECTION FOR PERISHABLE MATERIAL WITH QUANTITY DISCOUNT AND PAYMENT METHOD
title_fullStr DEVELOPING MODEL AND ALGORITHM OF SUPPLIER SELECTION FOR PERISHABLE MATERIAL WITH QUANTITY DISCOUNT AND PAYMENT METHOD
title_full_unstemmed DEVELOPING MODEL AND ALGORITHM OF SUPPLIER SELECTION FOR PERISHABLE MATERIAL WITH QUANTITY DISCOUNT AND PAYMENT METHOD
title_sort developing model and algorithm of supplier selection for perishable material with quantity discount and payment method
url https://digilib.itb.ac.id/gdl/view/24498
_version_ 1822921249542635520