SIMPLE MULTI-ATTRIBUTE RATING TECHNIQUE FOR WAREHOUSE LOCATION SELECTION (CASE STUDY: PT. PPT)
Indonesia's Manufacturing Industry, encompassing processing and non-oil and gas processing, grew in Q3 of 2022, contributing 17.88% and 16.10% to GDP. Transportation and storage played a significant part, with a 15.93% year-on-year growth in Q1 2023, highlighting the sector's importa...
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id-itb.:797382024-01-15T11:58:39ZSIMPLE MULTI-ATTRIBUTE RATING TECHNIQUE FOR WAREHOUSE LOCATION SELECTION (CASE STUDY: PT. PPT) Arviana Dewi, Nerissa Indonesia Theses CoG, Kepner-Tregoe, MCDM, SMART, Warehouse Location INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/79738 Indonesia's Manufacturing Industry, encompassing processing and non-oil and gas processing, grew in Q3 of 2022, contributing 17.88% and 16.10% to GDP. Transportation and storage played a significant part, with a 15.93% year-on-year growth in Q1 2023, highlighting the sector's importance. PT. Petrokimia Trading is a sub-holding of one of Indonesia’s companies. The company manages to trade PP/PE significantly from more sources (import, local producer, or local trader). This research will determine and analyze the criteria for the selection of warehouse locations for PT. Petrokimia Trading analyzes the weight of each criterion at each location in the warehouse location selection process for PT. Petrokimia Trading and obtain the priority location for PT. Petrokimia Trading to build a new warehouse. This research aims to guide and help the decision makers to choose and find a suitable location based on the Centre of Gravity (CoG) analysis conducted by a third-party consultant. The five locations resulting from the Centre of Gravity (CoG) as alternatives will be analysed with Kepner-Tregoe Analysis in the decision-making process, using Situation Appraisal defined in Business Issues. The author then employs a Rich Picture and Fishbone Diagram to assess the scenario or the process of picking the new warehouse. The decision analysis was carried out in eight stages using the one of Multi-Criteria Decision Making (MCDM) method, which is the Simple Multi-Attribute Rating Technique (SMART). Lastly, using the preceding analysis, undertake a Potential Problem Analysis. The major criterion is the distance to the customer, which aligns with the company's emphasis on customer satisfaction. Demand volume affects warehouse capacity, with more volume necessitating a larger facility. Distance from suppliers reduces delivery lead time, and the size of the land must accommodate demand volume and product capacity for PT. Petrokimia Trading text |
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Indonesia's Manufacturing Industry, encompassing processing and non-oil and gas
processing, grew in Q3 of 2022, contributing 17.88% and 16.10% to GDP.
Transportation and storage played a significant part, with a 15.93% year-on-year
growth in Q1 2023, highlighting the sector's importance. PT. Petrokimia Trading is a
sub-holding of one of Indonesia’s companies. The company manages to trade PP/PE
significantly from more sources (import, local producer, or local trader). This research
will determine and analyze the criteria for the selection of warehouse locations for PT.
Petrokimia Trading analyzes the weight of each criterion at each location in the
warehouse location selection process for PT. Petrokimia Trading and obtain the priority
location for PT. Petrokimia Trading to build a new warehouse. This research aims to
guide and help the decision makers to choose and find a suitable location based on the
Centre of Gravity (CoG) analysis conducted by a third-party consultant. The five
locations resulting from the Centre of Gravity (CoG) as alternatives will be analysed
with Kepner-Tregoe Analysis in the decision-making process, using Situation
Appraisal defined in Business Issues. The author then employs a Rich Picture and
Fishbone Diagram to assess the scenario or the process of picking the new warehouse.
The decision analysis was carried out in eight stages using the one of Multi-Criteria
Decision Making (MCDM) method, which is the Simple Multi-Attribute Rating
Technique (SMART). Lastly, using the preceding analysis, undertake a Potential
Problem Analysis. The major criterion is the distance to the customer, which aligns
with the company's emphasis on customer satisfaction. Demand volume affects
warehouse capacity, with more volume necessitating a larger facility. Distance from
suppliers reduces delivery lead time, and the size of the land must accommodate
demand volume and product capacity for PT. Petrokimia Trading |
format |
Theses |
author |
Arviana Dewi, Nerissa |
spellingShingle |
Arviana Dewi, Nerissa SIMPLE MULTI-ATTRIBUTE RATING TECHNIQUE FOR WAREHOUSE LOCATION SELECTION (CASE STUDY: PT. PPT) |
author_facet |
Arviana Dewi, Nerissa |
author_sort |
Arviana Dewi, Nerissa |
title |
SIMPLE MULTI-ATTRIBUTE RATING TECHNIQUE FOR WAREHOUSE LOCATION SELECTION (CASE STUDY: PT. PPT) |
title_short |
SIMPLE MULTI-ATTRIBUTE RATING TECHNIQUE FOR WAREHOUSE LOCATION SELECTION (CASE STUDY: PT. PPT) |
title_full |
SIMPLE MULTI-ATTRIBUTE RATING TECHNIQUE FOR WAREHOUSE LOCATION SELECTION (CASE STUDY: PT. PPT) |
title_fullStr |
SIMPLE MULTI-ATTRIBUTE RATING TECHNIQUE FOR WAREHOUSE LOCATION SELECTION (CASE STUDY: PT. PPT) |
title_full_unstemmed |
SIMPLE MULTI-ATTRIBUTE RATING TECHNIQUE FOR WAREHOUSE LOCATION SELECTION (CASE STUDY: PT. PPT) |
title_sort |
simple multi-attribute rating technique for warehouse location selection (case study: pt. ppt) |
url |
https://digilib.itb.ac.id/gdl/view/79738 |
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