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<title>2012</title>
<link href="http://repository.president.ac.id/xmlui/handle/123456789/917" rel="alternate"/>
<subtitle/>
<id>http://repository.president.ac.id/xmlui/handle/123456789/917</id>
<updated>2026-04-10T23:57:28Z</updated>
<dc:date>2026-04-10T23:57:28Z</dc:date>
<entry>
<title>THE APPLICATION OF CENTRALIZED DEMAND INFORMATION SYSTEM TO REDUCE BULLWHIP EFFECT IN SUPPLY CHAIN</title>
<link href="http://repository.president.ac.id/xmlui/handle/123456789/1362" rel="alternate"/>
<author>
<name>Pratama, Adi</name>
</author>
<id>http://repository.president.ac.id/xmlui/handle/123456789/1362</id>
<updated>2019-08-02T09:55:42Z</updated>
<published>2012-01-01T00:00:00Z</published>
<summary type="text">THE APPLICATION OF CENTRALIZED DEMAND INFORMATION SYSTEM TO REDUCE BULLWHIP EFFECT IN SUPPLY CHAIN
Pratama, Adi
The main idea of supply chain management is a good synchronization and coordination among supply chain stages. Weak coordination causes amplification of order variability from downstream to upstream supply chain which is called bullwhip effect. This thesis studies about bullwhip effect that happens in PT. Y as wholesaler who distributes mineral and isotonic water to its distributors and often happens monthly overstocking and lacking of stock. It also analyzes how to reduce four types of bullwhip effect by using Centralized Demand Information (CDI). The method is used as it allows the wholesaler to know the real situation of order from their distributors and create the right forecasting to reduce the bullwhip effect. In this thesis, forecast order in 2011 is made by using sales data from all PT. Y’s distributors in 2010. After getting the result, it is then compared to the condition in 2011 and bullwhip effect occurred in PT.Y is reduced. The changes in the four types of Bullwhip effect are the following: Bullwhip effect 1) average of aggregation for each product in each distributor reduces 4.61%; Bullwhip effect 2) aggregation from all distributors for each product reduces 23.77%; Bullwhip effect 3) aggregation of products in each distributor reduces 0.42%; Bullwhip effect 4) aggregation of all products in all distributors 7.31%; and finally, the average of bullwhip effect is reduced to 9.27%.
</summary>
<dc:date>2012-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>DEVELOPING PROPOSED LAYOUT FOR INCREASING LINE EFFICIENCY ON BODYSHOP</title>
<link href="http://repository.president.ac.id/xmlui/handle/123456789/1360" rel="alternate"/>
<author>
<name>Cornellia</name>
</author>
<id>http://repository.president.ac.id/xmlui/handle/123456789/1360</id>
<updated>2019-08-02T09:52:40Z</updated>
<published>2012-01-01T00:00:00Z</published>
<summary type="text">DEVELOPING PROPOSED LAYOUT FOR INCREASING LINE EFFICIENCY ON BODYSHOP
Cornellia
Recently, an imbalance workstation in the assembly line is one of the critical problem that many companies face. Many researches have done to solve this problem with the various designs of assembly line balancing. This thesis presents the comparison between straight line balancing and u-shaped line balancing. The heuristic approaches is method to solve both straight line balancing and u-shaped line balancing. Straight line balancing is using Rank Positional Weight (RPW) whereas u-shaped line balancing is using Critical Task Method (CTM). Both straight line balancing and u-shaped line balancing have the same goal; minimizing the workstations. The result of this thesis shows that u-shaped line balancing gives a better solution than the straight line balancing in term of number of workstation. It is because the u-shaped layout is considered to be one of the most flexible techniques for changing the number of workers in the cell to match cell cycle time to planned cycle time. Significantly, u-shaped line balancing is more efficient than straight line balancing.
</summary>
<dc:date>2012-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>INCREASING LINE EFFICIENCY OF C24 TRIM LINE BY USING TIME STUDY AND LINE BALANCING IN AUTOMOTIVE INDUSTRY</title>
<link href="http://repository.president.ac.id/xmlui/handle/123456789/1359" rel="alternate"/>
<author>
<name>Anjani, Marcella</name>
</author>
<id>http://repository.president.ac.id/xmlui/handle/123456789/1359</id>
<updated>2019-08-02T09:49:54Z</updated>
<published>2012-01-01T00:00:00Z</published>
<summary type="text">INCREASING LINE EFFICIENCY OF C24 TRIM LINE BY USING TIME STUDY AND LINE BALANCING IN AUTOMOTIVE INDUSTRY
Anjani, Marcella
This thesis concerns about improvement of an assembly line in PT. SWYM to improve condition in the current line. Increasing the line efficiency is the focus of this research to improve the line. The objective of this thesis is to increase the line efficiency in order to achieve the production target and to eliminate overtime. The observation is done by collecting data of each operation using time study. In the analyze step, it has been found the cause of the problem which are poor work arrangement in workstations and inadequate number of operators. Then it has been employed the Rank Positional Weight method to improve the assembly line. The recommendations for improving assembly line are rearranging work elements and meeting the appropriate number of operators. The result shows that improvement in the production process is very good. The amount of output increases from four units to eight units which also means the production target has been achieved. The labor cost could be reduced for about Rp 3,348,400 per month by eliminating overtime cost. Line efficiency increases from 68.5% to 98.26 %.
</summary>
<dc:date>2012-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>IMPLEMENTATION OF EVALUATION MODEL AND SUPPLIER PERFORMANCE SCORECARD IN MULTI CRITERIA DECISION MAKING PROBLEM</title>
<link href="http://repository.president.ac.id/xmlui/handle/123456789/1358" rel="alternate"/>
<author>
<name>Erliani, Merry</name>
</author>
<id>http://repository.president.ac.id/xmlui/handle/123456789/1358</id>
<updated>2019-08-02T09:46:06Z</updated>
<published>2012-01-01T00:00:00Z</published>
<summary type="text">IMPLEMENTATION OF EVALUATION MODEL AND SUPPLIER PERFORMANCE SCORECARD IN MULTI CRITERIA DECISION MAKING PROBLEM
Erliani, Merry
Supplier selection is one of Multi Criteria Decision Making (MCDM) and Multi Person Decision Making (MPDM) problems. In order to determine the best supplier in supplier selection, the main factors involved are subjective and objective decision. The subjective decision is obtained from decision makers’ preference. Meanwhile, the objective decision is gathered from actual data recorded. Thus, the integration between subjective and objective decision is needed in determining the best supplier. An evaluation model is designed in order to select the best supplier by using Analytical Hierarchy Process (AHP), Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Ordered Weighted Averaging (OWA) method. Besides it, the supplier performance scorecard is developed to represents company data about supplier performance. Balanced Scorecard approach is utilized in scorecard analysis. Both evaluation model and supplier performance scorecard are applied to a case study in PT. ABCD. The research concludes that AO as the best supplier in sourcing process of cover room partition case in PT. ABCD. Based on evaluation model result, AO is positioned as the first ranking. According to performance scorecard result, AO can reach the highest point among candidates. Therefore, AO can be considered as integration result decision.
</summary>
<dc:date>2012-01-01T00:00:00Z</dc:date>
</entry>
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