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All Journal Majalah Ilmiah Bijak
Adji Candra Kurniawan
Logistics Engineering Department, Pertamina University, Jakarta

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Determining Distribution Center Locations to Optimize Food Supply Chain Integration (A Case Study of an Agribusiness Company in Indonesia) Yelita Anggiane Iskandar; Nur Layli Rachmawati; Adji Candra Kurniawan; Ravi Prananda Kurniawan; Mega Rizkah Sudiar; Dedy Ramadhan; Sayyid Firous Taufiqulhaqiem; Andi Nur Shafirah Ramdhani Abidin; Anissa Widiyanti
Majalah Ilmiah Bijak Vol 20, No 1: March 2023
Publisher : Institut Ilmu Sosial dan Manajemen STIAMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/bijak.v20i1.3058

Abstract

PT Asagri Selaras Asia is an agribusiness company in Jakarta, Indonesia that provides food supply for entrepreneurs in the tourism sector, such as hotels and restaurants. In running their business, the company has a supply chain network that effectively integrates suppliers, manufacturers, warehouses, and stores. Supply chain management optimization is deemed necessary to maximize efficiency in every process carried out at PT Asagri Selaras Asia. One of the processes that can be optimized is the determination of facility location. The right facility location can minimize distance, delivery time, and operational costs and optimize the company's profit. Currently, the contract period for the distribution center (DC) used by PT Asagri Selaras Asia is about to expire therefore a decision is needed regarding the determination of the DC location for the next period, either extending the current DC contract or moving to a new location. This study aims to maximize the company's profit by comparing the profit obtained under existing and alternative DC, and the proposed DC from the experimental results using the Green Field Analysis (GFA) method. This study also aims to determine the feasibility of the three DC locations using the Network Optimization (NO) method with Anylogistix software. Based on the data analysis, the new DC is recommended to be located in the West Pejaten area, South Jakarta with latitude -6.2729150574 and longitude 106.8230798418 which will give an increase in profit of 80.53% compared to the existing DC.
Determination of Warehouse Performance Measurement Indicators at PT Pos Logistik Indonesia with The Balanced Scorecard Method Adji Candra Kurniawan; Ismi Nur Octaviani Harsono; Nanda Ruswandi
Majalah Ilmiah Bijak Vol 20, No 1: March 2023
Publisher : Institut Ilmu Sosial dan Manajemen STIAMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/bijak.v20i1.3120

Abstract

PT Pos Logistik Indonesia is a subsidiary of PT Pos Indonesia. This research focuses on PT Pos Logistik Indonesia Unilever Cakung warehouse, which later researchers will determine warehouse performance indicators using the Balanced Scorecard method. In the current conditions, the company only measures performance on employees and internal business activities and only focuses on one financial indicator. Therefore, it is necessary to have indicators that cover all aspects in realizing the vision and mission of the company. This study aims to compile appropriate indicators and propose additional indicators that need to be applied by companies for each perspective on the Balanced Scorecard method and determine priority weights for each perspective. The thing to do is to solve it by determining a strategy that is in accordance with the company's vision and mission that is adjusted to the company's activities, then by being able to determine suitable performance indicators to be implemented in the company PT Pos Logistik Indonesia. Then you can weight the interests of each performance indicator from four perspectives to find out which indicators are the most important to implement and prioritize. After calculating using Super Decision software, it is found that the customer perspective has a priority weight value of 0.333, the finance perspective has a priority weight value of 0.298, the internal process perspective has a priority weight value of 0.257 and the learning and growth perspective has a priority weight value of 0.113. The highest weight is on the customer perspective so that this perspective is more important than other perspectives