Gede Agus Widyadana
Department of Industrial and System Engineering, Chung Yuan Christian University

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Perbaikan Sistem Distribusi dan Inventori pada PT. Blue Sky Biotech Mudita, Albertus Arya; Octavia, Tanti; Widyadana, Gede Agus
Jurnal Titra Vol 3, No 2 (2015)
Publisher : Jurnal Titra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (78.005 KB)

Abstract

This paper discusses about inventory and distribution systems in PT. Blue Sky Biotech branch especially in Surabaya. Surabaya branch often has too much Prosatu product in the end of the month and the distribution systems also still infefficent. The analysis of distribution and inventory systems will affect to the total cost and and the warehouse inventory itself. The distribution system will be analyzed from distriburion route at Jakarta, choosing distribution partner, and the distribution method itself. There is an elimination route of taman tekno-gunung sindur-taman tekno route to minimize transportation cost. For the distribution partner PT. Blue Sky Biotech has three alternatives, to use existing partner (using bus) or to change it with train or truck. Continuous review policy with reorder point method is proposed to control the inventory. The best alternative is the company deliver the products using truck, as distribution partner and continuous review policy to control the inventory. The combination can reduce the company expense around 64%.
Production Inventory Models for Deteriorating Items with Stochastic Machine Unavailability Time, Lost Sales and Price-Dependent Demand Widyadana, Gede Agus; Wee, Hui Ming
Jurnal Teknik Industri Vol 12, No 2 (2010): DECEMBER 2010
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (168.265 KB) | DOI: 10.9744/jti.12.2.pp. 61-68

Abstract

The economic production quantity (EPQ) model is widely employed in reality and is also being intensively developed in the research area. This research tries to develop more realistic EPQ models for deteriorating items by considering stochastic machine unavailability time (uniformly and exponentially distributed) and price-dependent demand. Lost sales will occur when machine unavailability time is longer than the non production time. Since the closed form solution cannot be derived, we use Genetic Algorithm (GA) to solve the models. A numerical example and sensitivity analysis is shown to illustrate the models. The sensitivity analyses show that a management can use price policy to minimize the profit loss due to machine unavailability time under a price- dependent demand situation
A REPLENISHMENT POLICY FOR ITEM WITH PRICE DEPENDENT DEMAND AND DETERIORATING UNDER MARKDOWN POLICY Wee, Hui Ming; Widyadana, Gede Agus
Jurnal Teknik Industri Vol 9, No 2 (2007): DECEMBER 2007
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (213.805 KB) | DOI: 10.9744/jti.9.2.pp. 75-84

Abstract

Many researches on deteriorating inventory model have been developed in recent years. This paper develops deteriorating inventory model with price-dependent demand and uses markdown policy to increase profit. Two examples are used to explain the model and some interesting results are derived. Markdown policy can increase total profit, but the best markdown time and price depend are case dependent.
MULTI OBJECTIVE MODEL FOR BALANCING U-TYPE ASSEMBLY LINE WITH PERMANENT AND TEMPORARY WORKERS Widyadana, Gede Agus
Jurnal Teknik Industri Vol 11, No 1 (2009): JUNE 2009
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.11.1.pp. 33-42

Abstract

Assembly line balancing is one of the most important management decisions for reducing production costs. So far, many researches have been done in this area. In this research, we expand the U-type line-balancing using goal programming for multi objective model with two goals, i.e., minimized the number of temporary workers and number of cycle time in each station. Additionally, an example to illustrate the model, as well as some analyses is presented. Different amount of time for temporary worker to accomplish their tasks were generated. For some cases, the U-type assembly line is more efficient than the straight one. However, the goal 1 and goal 2 are conflicted