Two-Phase Optimization Method for Determining Distribution Center Locations and Distribution Routes (Case Study: X Ltd.)

One of the main keys to establishing a company’s facilities is to determine the best location with consideration of proximity to customers. After determining the location using the P-Center method, the company aims to maximize its profit by minimizing the distribution costs. It can be minimized by finding the shortest route. The best route determination method used in this study is the Capacitated Vehicle Routing Problem. The initial solution was obtained from data processing with the Nearest Neighborhood algorithm. The routes obtained from this method are optimal local results so that they can still be optimized to obtain the optimal global results. The results will be reprocessed with improvement heuristics method, namely Simple Local Search to get the most optimal results. From this data processing, it will produce an output in the form of the location of the best facility and route construction by producing the minimum total of distribution cost.

Location-Routing Problem Analysis (Case Study: Natural Disaster Risk Mitigation in Pangandaran District)

Geographically, Indonesia is surrounded by three continental plates which cause the emergence of earthquake pathways, a series of active mountains throughout Indonesia, and the inevitable tsunami. Considering the large potential and risks arising from such natural disasters, disaster mitigation is important to minimize the risk, one of which is through humanitarian logistics. Pangandaran Regency is the focus of this study given that in 2018, Pangandaran is the 16th most disaster-prone area out of 514 districts/cities in Indonesia and the 5th out of 27 districts/cities in West Java. It would be a high risk if mitigation, preparation, and logistics response in Pengandaran is not well planned. The focus of this research is to determine the strategic location of disaster emergency response warehouse placement with the Set Covering Problem algorithm and determine the optimal route to the location of refuge using the Nearest Neighborhood Heuristics, Local Search, and Simulated Annealing algorithms.

Comparative Analysis for Strategy Implementation in Indonesia's Hotel Business Sector During Covid-19

This paper examines the performance of differentiation strategies employed by two prominent holding hotel companies, Intercontinental Group, and ACCOR Group, within different hotel categories. This research objective is to compare the revenue performance of 3-star and 4-star hotels, specifically Holiday Inn and Holiday Inn Express (from Intercontinental Group) also Ibis and Novotel (from ACCOR Group). The data analysis involves the calculation of revenue percentages for each hotel category over seven years, from 2016 to 2022. This research adopts descriptive and comparative approaches by contrasting the performance metrics of RevPAR, Occupancy Rate, and Average Room Rate (ARR). In conclusion, in 2016-2019, both the 4-star hotels of ACCOR Group and InterContinental Group tended to experience a downward trend in performance on all metrics. However, on the metrics of ARR and RevPAR, Novotel looks to dominate Holiday Inns. Even though the Occupancy Rate (OCC) metrics, the two hotel brands are balanced. In the 3-star hotels, both hotels also experienced a downward trend in 2016-2019. Both Holiday Inn Express and Ibis were unable to withstand in 2020, so the decline in their performance plummeted. On the positive side in 2021-2022, both hotels seemed to be back on their feet with significant increases and Ibis from ACCOR Group tends to excel in all three metrics. In terms of revenue percentage, it can be concluded that the 3-star hotel strategy is successful even in uncertain conditions. Meanwhile, the 4-star hotel strategy needs to be evaluated whether it is resilient enough to deal with unexpected situation