Improving delivery roules using combined heuristic and optimization in consumer goods distribution company

XYZ is a distributor of various consumer goods products. The company plan s its delivery routes daily and in order to obtain route construction in a short amount of time, it simplifies the process by assigning drivers based on geographic regions. This approach results in inefficient use of vehicles leading to imbalance workloads. In this paper, we propose a combined method involving heuristic and optimization to obtain better solutions in acceptable computation time. The heuristic is based on a time-oriented, nearest neighbor (TONN) to form clusters if the number of locations is higher than a certain value. The optimization part uses a mathematical modeling formulation based on vehicle routing problem that consider s heterogeneous vehicles, time windows, and fixed costs (HVRPTWF) and is used to solve routing problem in clusters. A case study using data from one month of the company’s operations is analyzed, and data from one day of operations are detailed in this paper. The analysis shows that the proposed method results in 24% cost savings on that month, but it can be as high as 54% in a day

Improving delivery routes using combined heuristic and optimization in a consumer goods distribution company

XYZ is a distributor of various consumer goods products. The company plans its delivery routes daily and in order to obtain route construction in a short amount of time, it simplifies the process by assigning drivers based on geographic regions. This approach results in inefficient use of vehicles leading to imbalance workloads. In this paper, we propose a combined method involving heuristic and optimization to obtain better solutions in acceptable computation time. The heuristic is based on a time-oriented, nearest neighbor (TONN) to form clusters if the number of locations is higher than a certain value. The optimization part uses a mathematical modeling formulation based on vehicle routing problem that considers heterogeneous vehicles, time windows, and fixed costs (HVRPTWF) and is used to solve routing problem in clusters. A case study using data from one month of the company’s operations is analyzed, and data from one day of operations are detailed in this paper. The analysis shows that the proposed method results in 24% cost savings on that month, but it can be as high as 54% in a day

ANALISIS RISIKO OPERASIONAL DALAM PROSES PEMBAYARAN BIAYA KULIAH DI UNIVERSITAS KRISTEN INDONESIA

ABSTRAK Manajemen risiko merupakan aktivitas manajemen di dalam mempersiapkan strategi untuk mengantisipasi kejadian yang tidak diharapkan muncul.  Universitas Kristen Indonesia menghadapi risiko gagal bayar. Risiko ini timbul di dalam proses pembayaran uang kuliah mahasiswa. Dimulai dengan proses di Administrasi Universitas sampai dengan masa pembayaran. Penelitian ini menggunakan tahapan manajemen risiko sebagai metode analisisnya. Diawali dengan identifikasi risiko kemudian mengukur risiko dengan menghitung peluang dan dampakn dari risiko tersebut dan merancang kebijakan manajemen risiko sebagai mitigasinya. Berdasarkan penelitian yang telah dilakukan diperoleh risiko tertinggi di rentang skala 15-25 yang terjadi di dalam proses administrasi dan pembayaran. Untuk memitigasinya digunakan pendekatan Teori Permainan dengan Universitas dan Mahasiswa sebagai pemainnya. Permasalahan ini perlu mendapat perhatian yang serius demi menjaga stabilitas operasional Universitas

ANALISIS KEJUTAN FAKTOR PENARIK DAN PENDORONG TERHADAP ALIRAN PORTOFOLIO MASUK KE INDONESIA, 2000:Q1 � 2012:Q4

Post global economic crisis period, Indonesia as one of the emerging markets countries has received a lot of capital inflows. The increase of this flows can stimulate economic activity but it also causes macroeconomic fluctuations. This study analyzes the determinants of portfolio inflows to Indonesia within push and pull factors framework, using structural cointegrated vector autoregressive, impulse responses function and variance decomposition methods. The result of the impulse responses function shows that the portfolio inflows in the form of bond give positive response to the unexpected changes of budget deficit and domestic output growth, while the portfolio inflows in the form of stocks give positive response to the unexpected changes of foreign output growth, domestic output growth, stock price index and budget deficit. The result of variance decomposition analysis shows that the pull factors, the domestic interest rate and current account balance are the main factors that explain the variation of portfolio inflows in the form of bonds, whereas the domestic interest rate and stock price index are the most dominant variables that explain the variation of portfolio inflows in the form of stocks