ANALISIS KINERJA DISTRIBUSI LOGISTIK PADA PASOKAN BARANG DARI PT. SURYA PAMENANG KE KONSUMEN

2019 ◽  
Vol 1 (2) ◽  
pp. 81
Author(s):  
Ruddy Kurniawan ◽  
Heribertus Santoso ◽  
Ana Komari
Keyword(s):  
Control Policy ◽  
Management Control ◽  
Distribution Center ◽  
Logistics Management ◽  
Distribution Centers ◽  
Distribution Management ◽  
Logistics Distribution ◽  
Lack Of Control ◽  
Product Inventory ◽  
Distribution Distance

The problem that often occurs in management management is the lack of control in logistics management. The logistics distribution management control policy will have an effect on increasing the performance of the company in distributing demand from producers to customers and managing product inventory in distribution centers. In terms of management performance, PT. Surya Pamenang in fulfilling the needs has been optimal. However, in supporting the performance of supply chain management which is inseparable from the influence of distribution center location on distribution distance, smooth transportation in distribution to consumers and the availability of products at the distribution center to meet the demands of each consumer, it needs to be re-evaluated. With this research it is hoped that it can help in overcoming the problems faced by PT. Surya Pamenang. This study concludes that companies can be more efficient and effective in minimizing the risks that may occur for the company. The performance of logistics management supports positive improvements for the companyPermasalahan yang sering terjadi dalam pengelolaan manejemen dalam hal ini kurangnya pengendalian dalam manajemen logistik. Kebijakan pengendalian manajemen distribusi logistik akan berpengaruh dengan terhadap meningkat performa kinerja perusahaan dalam mendistribusikan permintaan dari produsen kekonsumen pelanggan dan mengatur persediaan produk di pusat distribusi. Dilihat dari segi kinerja menejemen PT. Surya Pamenang dalam pemenuhan kebutuhan sudah optimal. Akan tetapi dalam mendukung kinerja manajemen rantai pasokan yang tidak terlepas dari pengaruh lokasi pusat distribusi terhadap jarak Pendistribusian, kelancaran transportasi dalam pendistribusian ke konsumen serta ketersediaan produk di pusat distribusi untuk memenuhi permintaan dari setiap konsumen perlu dievaluasi kembali. Dengan adanya penilitian ini diharpakan dapat membatu dalam mengatasi permasalahan – permasalahan yang di hadapi PT. Surya Pamenang. Penelitian ini menyimpulakan bahwa perusahan dapat lebih efisien dan efektif dalam meminimalisir dari resiko yang dapat terjadi bagi perusahaan. Kinerja dari manajemen logistik mendukung peningkatan yang positif bagi perusahaan.

Application of DEA Model Based on FCE in the Cigarette Packaging System Mode Evaluation

2014 ◽  
Vol 1006-1007 ◽  
pp. 472-476
Author(s):  
Wei Wang ◽  
Wei Ping Yang ◽  
Ge Yi Liu
Keyword(s):  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Distribution Center ◽  
Evaluation Index System ◽  
Distribution Centers ◽  
Packaging System ◽  
Dea Model ◽  
Logistics Distribution ◽  
Model Based ◽  
System Mode

With the development of modern logistics system, the automatic logistics distribution centers have been built in most tobacco enterprises. The packaging system plays important role in the distribution center, it is necessary to construct a set of scientific method to evaluate the packaging system mode. According to the real situation of tobacco logistics distribution center, the cost and benefit are set to the general goal. For these three modes of packaging system, packaging by hand, automatic packaging and packaging by heat-shrinkable material, the evaluation index system and hierarchical structure are built. Refer to the hierarchical chart and the principle of AHP, the weight of each index is calculated. On the basis of weight that worked out by AHP, the final evaluation result can be found and analyzed follow the principle of fuzzy comprehensive evaluation. Finally, reference the consequences of the FCE, the DEA model based on FCE is used to enhance the integrality and systematic of the evaluate result.

Bi-level Program on Competitive Location of Logistics Distribution Center

2012 ◽  
Vol 472-475 ◽  
pp. 3390-3394
Author(s):  
Xin Zhu Yang ◽  
Xiao Lei Chen ◽  
Qi Sheng Guo
Keyword(s):  
Decision Maker ◽  
Distribution Center ◽  
Decision Makers ◽  
Competitive Location ◽  
Distribution Centers ◽  
Network Location ◽  
Logistics Distribution ◽  
Net Profit ◽  
Investment Cost ◽  
The Difference

When decision makers locate logistics distribution centers they will compete with the existing ones and with each other at the same time. The nonlinear bi-level program is modeled for two decision makers under network location environment. The upper and lower objective function is to maximize respective net profit which is the difference of profit and investment cost. Genetic algorithm is applied to solve the problem. A numerical example is also given to show the application. And the result shows that the decision maker who first locates is more dominant than the decision maker who locates later in the competition.

Research on the Campus Logistics Optimization Problems

2014 ◽  
Vol 1030-1032 ◽  
pp. 2621-2624
Author(s):  
Xiao Han Liu ◽  
Ying Long Liu ◽  
Yong Liang Zhou ◽  
Jin Xin Cao
Keyword(s):  
Optimization Problems ◽  
Rapid Development ◽  
Distribution Center ◽  
Logistics Management ◽  
Personalized Service ◽  
Logistics Industry ◽  
Campus Environment ◽  
Logistics Distribution ◽  
Logistics Optimization ◽  
The University

With the rapid development of economy, campus logistics industry has rapidly developed. At present, the university logistics has obtained certain achievements, but it also has many problems such as scope of distribution and distribution quality. In order to solve the above situation, we should make full use of campus resources, and establish campus logistics distribution center, to accelerate the process of logistics management for the construction of the campus, and to provide personalized service, logistics for the construction of the healthy and orderly campus environment.

scholarly journals Hybrid Metaheuristic-Based Spatial Modeling and Analysis of Logistics Distribution Center

2021 ◽  
Vol 11 (1) ◽  
pp. 5
Author(s):  
Maryam Khairunissa ◽  
Hyunsoo Lee
Keyword(s):  
Large Scale ◽  
Mathematical Problem ◽  
Distribution Center ◽  
Geographical Information ◽  
Location Analysis ◽  
Logistic Distribution ◽  
Distribution Centers ◽  
Accurate Analysis ◽  
Logistics Distribution ◽  
Hybrid Metaheuristic

The location analysis of logistics distribution centers is one of the most critical issues in large-scale supply chains. While a number of algorithms and applications have been provided for this end, comparatively fewer investigations have been made into the integration of geographical information. This study proposes logistic distribution center location analysis that considers current geographic and embedded information gathered from a geographic information system (GIS). After reviewing the GIS, the decision variables and parameters are estimated using spatial analysis. These variables and parameters are utilized during mathematical problem-based analysis stage. While a number of existing algorithms have been proposed, this study applies a hybrid metaheuristic algorithm integrating particle swarm optimization (PSO) and genetic algorithm (GA). Using the proposed method, a more realistic mathematical model is established and solved for accurate analysis of logistics performance. To demonstrate the effectiveness of the proposed method, Korea Post distribution centers were considered in South Korea. Through tests with several real-world scenarios, it is proven experimentally that the proposed solution is more effective than existing PSO variations.

Multi-Node Distribution Center Location Model under Manufacturing and Remanufacturing System

2010 ◽  
Vol 39 ◽  
pp. 140-145 ◽  
Author(s):  
Ya Peng Zhao
Keyword(s):  
Distribution Center ◽  
Location Model ◽  
Mixed Integer ◽  
Distribution Centers ◽  
Dea Model ◽  
Logistics Distribution ◽  
Center Location ◽  
Node Distribution ◽  
Effective Decision ◽  
Distribution Center Location

This study establishes the logistics distribution center location model under manufacturing and remanufacturing system and modifies alternative expenses and time- restricting condition s of logistics distribution center location model according to the specific feature of model under manufacturing and remanufacturing system. It’s necessary to consider all the factors during the course of establishing the logistics distribution center location model. And it is also necessary to consider effectiveness of distribution center in model and ask for the experts’ opinion and advice. A location model by combining DEA model and mixed integer programming is presented. In this model, in terms of the results of the evaluation of the efficiency of the distribution center by the DEA model, this result is regarded as a constraint of the model. Finally, An example demonstrates that the model can solve the problem of distribution centers location and provide an effective decision tool for decision-maker.

Application of Composite Ant Colony Optimization in Logistics Distribution Center Location

2012 ◽  
Vol 253-255 ◽  
pp. 1476-1481
Author(s):  
Xiao Lan Liu ◽  
Wu Yi Zhang
Keyword(s):  
Ant Colony Optimization ◽  
Transition Probability ◽  
Distribution Center ◽  
Ant Colony ◽  
Distribution Centers ◽  
Logistics Distribution ◽  
Location Routing ◽  
Center Location ◽  
Shortest Route ◽  
Distribution Center Location

A new model called location, routing, production and sale problem(LRPSP) is proposed for logistics distribution center location in the paper. In this model vehicle routing problem(VRP) and the balance or imbalance problem of production and sale are considered, because all these would influence the selection of locations of logistics distribution centers. And also ant colony optimization(ACO) for clustering and ACO for finding the shortest route are introduced to assign clients to distribution centers and solve VRP respectively for the model. Through designing the transition probability, the tabu list and the way to update pheromones reasonably, the composite algorithm of ACO for clustering and ACO for finding the shortest route(CACO) for LRPSP is realized and the computer program is designed by Java. Finally, it’s proved by a simulation case that CACO is feasibility and scientific effectiveness for LRPSP.

Research on Planning of Logistics Park Information Platform Based on Internet

2014 ◽  
Vol 556-562 ◽  
pp. 5787-5789
Author(s):  
Jia Tang
Keyword(s):  
Distribution Center ◽  
Logistics Park ◽  
Information Platform ◽  
Logistics Distribution ◽  
Management Platform ◽  
Development Direction ◽  
Information Construction ◽  
Uncertainty Information ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Logistics Park as a highly centralized logistics distribution center, information construction is very an important platform to society. In this paper, Xi'an comprehensive bonded zone as an example, the Internet of things technology for the construction of logistics park information platform focusing on the design of cloud computing data center, and realizing the sharing of logistics information. [3] Logistics Park as a highly centralized logistics distribution center, the establishment of a unified information platform is the development direction of park information application. However, because the logistics park operation is complex and uncertainty, information management platform for the management information systems in general, can not adapt to the characteristics of park operations flexible, restricted the development of the park.

scholarly journals A memetic algorithm for the integral OBP/OPP problem in a logistics distribution center

2019 ◽  
pp. 203-214 ◽  
Author(s):  
Fabio Miguel ◽  
Mariano Frutos ◽  
Fernando Tohmé ◽  
Daniel A. Rossit
Keyword(s):  
Memetic Algorithm ◽  
Distribution Center ◽  
Logistics Distribution
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