PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PEMASOK PT X DENGAN MULTI-CRITERIA DECISION ANALYSIS (MCDA)
PT X is a chemical manufacturer producing chemicals for water treatment, oil and gas, automotive, mining, and sugar processing industry. To ensure the smoothness of its business process, especially in the production process, PT X needs high quality raw material. Raw material purchasing becomes a...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/74543 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | PT X is a chemical manufacturer producing chemicals for water treatment, oil and gas,
automotive, mining, and sugar processing industry. To ensure the smoothness of its business
process, especially in the production process, PT X needs high quality raw material. Raw
material purchasing becomes a critical process since it takes around 60-65% of sales
revenue. Supplier selection process then becomes a critical factor as well since this process
is done for 50 raw material per 3 months. This process is managed by the supply chain
manager of PT X. The supply chain manager of PT X evaluates suppliers by comparing the
price and cost of money given by the supplier for each raw material. The evaluation process
is manually done with the help of Microsoft Excel. This manual process becomes inefficient
since the number of suppliers evaluated increases.
This research proposes a decision support system, that includes designing model, criteria,
and prototype, for the supplier selection process of PT X. The design process of the decision
support system refers to DSS Development Life Cycle and Multi-criteria Decision Analysis
Framework. In general, this research starts from identifying existing conditions, identifying
requirements, designing subsystems of decision support system and prototype, until testing
prototype.
This research resulted in the design of a decision support system for supplier selection that
combines Analytic Hierarchy Process (AHP) and Technique for Order Preference by
Similarity to Ideal Solution (TOPSIS) method. This proposed system uses price, lead time,
performance rating, and saving percentage to evaluate supplier. The prototype designed for
this research utilizes Microsoft Excel with the help of visual basic for application. The
prototype has been tested and validated by the Supply Chain Manager and therefore can be
implemented by making sure of data availability and training of system first.
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