scholarly journals Selection of ports, tariffs, service frequency, and ship size for a SSS Route in Java Island

2019 ◽  
Vol 270 ◽  
pp. 03015
Author(s):  
Johannes E. Simangunsong ◽  
Ade Sjafruddin ◽  
Harun Al-Rasyid S. Lubis ◽  
Russ Bona Frazila
Keyword(s):  
Operating System ◽  
Transportation Network ◽  
Freight Transportation ◽  
Transportation Cost ◽  
System Model ◽  
Logistics System ◽  
Assignment Method ◽  
Efficiency And Effectiveness ◽  
The Difference ◽  
Total Transportation Cost

Short Sea Shipping (SSS) is one of modes to reduce the dominance of trucking mode of freight transportation in Indonesia. It concerns to multimodal freight transportation network system through sea mode transportation line. As a maritime nation, it is possible to develop SSS lines in Indonesia. The development of the SSS lines is expected to improve the continuity of goods which supporting the efficiency and effectiveness of the national logistics system. It develops integrated connectivity in local, inter-island and national scale. The objective of this study is to obtain optimum SSS route with objective function to maximize the difference of total transportation cost by designing SSS operating system model. Several factors are considered in SSS operating system model as policy measures, such as transit ports selection, tariffs, services, and ship sizes. This SSS model is approached by Incremental Assignment method. SSS operating system model will be applied to the freight mobility in Java.

scholarly journals A mass reducing flow for real-valued flat chains with applications to transport networks

2021 ◽  
Author(s):  
Carol Ann Downes
Keyword(s):  
Transportation Network ◽  
Supply And Demand ◽  
Transportation Cost ◽  
Transport Cost ◽  
Weighted Sums ◽  
Transport Networks ◽  
Lipschitz Continuous ◽  
Flat Chains ◽  
The Difference ◽  
Cost Efficient

An oriented transportation network can be modeled by a 1-dimensional chain whose boundary is the difference between the demand and supply distributions, represented by weighted sums of point masses. To accommodate efficiencies of scale into the model, one uses a suitable $\mathbf{M}^{\alpha}$ norm for transportation cost for $\alpha \in (0,1]$. One then finds that the minimal cost network has a branching structure since the norm favors higher multiplicity edges, representing shared transport. In this paper, we construct a continuous flow that evolves some initial such network to reduce transport cost without altering its supply and demand distributions. Instead of limiting our scope to transport networks, we construct this $\mathbf{M}^{\alpha}$ mass reducing flow for real-valued flat chains by finding a higher dimensional real chain whose slices dictate the flow. Keeping the boundary fixed, this flow reduces the $\mathbf{M}^{\alpha}$ mass of the initial chain and is Lipschitz continuous under the flat-$\alpha$ norm. To complete the paper, we apply this flow to transportation networks, showing that the flow indeed evolves branching transport networks to be more cost efficient.

scholarly journals An Optimal Path Identification in the Intermodal Freight Transportation Network

2018 ◽  
Vol 7 (2.11) ◽  
pp. 1
Author(s):  
Adel Gohari ◽  
Abdul Nasir Bin Matori ◽  
Khamaruzaman Wan Yusof ◽  
Iraj Toloue ◽  
Khin Cho Myint
Keyword(s):  
Information System ◽  
Transportation Network ◽  
Optimal Path ◽  
Freight Transportation ◽  
Research Topic ◽  
Objective Functions ◽  
Intermodal Transportation ◽  
Choice Analysis ◽  
Mode Of Transportation ◽  
Intermodal Freight

Intermodal transportation is a research topic of great interest at present. This paper presents a route choice analysis on an intermodal freight transportation network. The aim of this study was to determine the optimum route and mode of transportation based on least distance and least time criteria for the movement of containers from origin to the destination. Geographic Information System (GIS) was adopted to build the hypothetical freight transportation network and MATLAB software was used to model the travel distance and travel time. The results showed that the model can be used effectively to identify the shortest path and modes of transportation according to objective functions.  

scholarly journals A Synchronous Optimization Model for Multiship Shuttle Tanker Fleet Design and Scheduling Considering Hard Time Window Constraint

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Zhenfeng Jiang ◽  
Dongxu Chen ◽  
Zhongzhen Yang
Keyword(s):  
Time Window ◽  
Programming Model ◽  
Transportation Cost ◽  
Exact Algorithm ◽  
Mixed Integer ◽  
Routing Problem ◽  
Hard Time ◽  
Proposed Model ◽  
Total Transportation Cost ◽  
Time Window Constraints

A Synchronous Optimization for Multiship Shuttle Tanker Fleet Design and Scheduling is solved in the context of development of floating production storage and offloading device (FPSO). In this paper, the shuttle tanker fleet scheduling problem is considered as a vehicle routing problem with hard time window constraints. A mixed integer programming model aiming at minimizing total transportation cost is proposed to model this problem. To solve this model, we propose an exact algorithm based on the column generation and perform numerical experiments. The experiment results show that the proposed model and algorithm can effectively solve the problem.

scholarly journals Can an Earth System Model simulate better climate change at mid-Holocene than an AOGCM? A comparison study of MIROC-ESM and MIROC3

2013 ◽  
Vol 9 (4) ◽  
pp. 1519-1542 ◽  
Author(s):  
R. Ohgaito ◽  
T. Sueyoshi ◽  
A. Abe-Ouchi ◽  
T. Hajima ◽  
S. Watanabe ◽  
...  
Keyword(s):  
Climate Change ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Earth System Model ◽  
Sea Surface ◽  
System Model ◽  
Earth System ◽  
Intercomparison Project ◽  
The Difference ◽  
Precipitation Enhancement

Abstract. The importance of evaluating models through paleoclimate simulations is becoming more recognized in efforts to improve climate projection. To evaluate an integrated Earth System Model, MIROC-ESM, we performed simulations in time-slice experiments for the mid-Holocene (6000 yr before present, 6 ka) and preindustrial (1850 AD, 0 ka) periods under the protocol of the Coupled Model Intercomparison Project 5/Paleoclimate Modelling Intercomparison Project 3. We first give an overview of the simulated global climates by comparing with simulations using a previous version of the MIROC model (MIROC3), which is an atmosphere–ocean coupled general circulation model. We then comprehensively discuss various aspects of climate change with 6 ka forcing and how the differences in the models can affect the results. We also discuss the representation of the precipitation enhancement at 6 ka over northern Africa. The precipitation enhancement at 6 ka over northern Africa according to MIROC-ESM does not differ greatly from that obtained with MIROC3, which means that newly developed components such as dynamic vegetation and improvements in the atmospheric processes do not have significant impacts on the representation of the 6 ka monsoon change suggested by proxy records. Although there is no drastic difference between the African monsoon representations of the two models, there are small but significant differences in the precipitation enhancement over the Sahara in early summer, which can be related to the representation of the sea surface temperature rather than the vegetation coupling in MIROC-ESM. Because the oceanic parts of the two models are identical, the difference in the sea surface temperature change is ultimately attributed to the difference in the atmospheric and/or land modules, and possibly the difference in the representation of low-level clouds.

scholarly journals How does Technological Dependence Affect Consumer Shopping Behavior among Baby Boomers, Millennials, and Digital Natives?

2020 ◽  
Vol 5 (8) ◽  
pp. 1004-1009
Author(s):  
Muhammad Syah Fibrika Ramadhan ◽  
Nisrina Anggi Syahputri
Keyword(s):  
Baby Boomers ◽  
Online Shopping ◽  
Brand Choice ◽  
Transportation Cost ◽  
Digital Natives ◽  
Shopping Behavior ◽  
Three Generations ◽  
Significant Difference ◽  
The Difference ◽  
The Way

As the technology develop rapidly, people’s life is more convenient in many aspects. For instance, technology is facilitating the way people shop. In this day and age, people does not need to go to market to buy things they want as they can get it by online shopping. This way is certainly saving the time, the money as well because they do not need to pay the transportation cost. However, with the assistances that technology offered, not all people are overly dependent on technology. Some of them, mostly baby boomers gen, tend to life the old-fashioned way. This research aims to find out the difference among three generations, including baby boomers, millennials, and digital natives in their dependence on technology and how it affects their shopping behavior including the shopping objective, shopping frequency, deciding online or offline, shopping hour as well as brand choice. This study investigated about 138 persons, consisted of 30 (22%) baby boomers, 34 (25%) millennials, and 74 (53%) digital natives. The data were collected using the questionnaire consisted of 29 questions related to daily interaction to technology and shopping behavior. Oneway ANOVA was used to analyze the data. The result shows that among baby boomers, millennials, and digital natives have different responses of their technological dependence relating to shopping behavior. However, there is no significant difference among three generations. Each generation have different trait of shopping. Thus, the marketer should to know what kind of generation of their target in order to give the appropriate marketing.

scholarly journals PENERAPAN KONSEP CROSSDOCKING UNTUK MENURUNKAN PERSEDIAAN DI PT. COCA COLA DISTRIBUSI MALANG

2010 ◽  
Vol 4 (2) ◽  
pp. 30
Author(s):  
. Mubin
Keyword(s):  
Distribution System ◽  
Transportation Cost ◽  
System Model ◽  
Process Scheduling ◽  
Storage Process ◽  
Safety Stock ◽  
Device Model ◽  
Model Distribution ◽  
Distribution Process ◽  
Final Consumer

This Final duty produce design model distribution system for the finished of problems of product distibution stream. Method which used in system model is method of Crossdocking. Crossdocking used as by method to schedule delivery of product. Ther€ is two step scheduling of delivery, first of scheduling of delivery of factory Sales Center and both scheduling of shipping ofsales Center - outlet. Crossdocking repr€sent distribution melhod as a mean to minimize of is expense of supply, Crossdocking applied by functioned Sales Centar as facility of Crossdock, where at its distribution process of product sent from factory to outlet pass Sales Center without passing inventory storage process. Scheduling of first phase cover amounl, time, target of delivery, and used vehicle. By the end of this system device done by calculation of safety stock as anticipation to avoid stock out to demand of final consumer. Of device model this Crossdockingc an be yielded decrease of inventoryl evel in Sales Center, and decrease of transportation cost from factory to Sales Center.

Control Method for Flexible Joints in Manipulator Based on BP Neural Network Tuning PI Controller

Mathematics ◽  
2021 ◽  
Vol 9 (23) ◽  
pp. 3146
Author(s):  
Hexu Yang ◽  
Xiaopeng Li ◽  
Jinchi Xu ◽  
Dongyang Shang ◽  
Xingchao Qu
Keyword(s):  
Neural Network ◽  
Control Strategy ◽  
Bp Neural Network ◽  
Servo System ◽  
Pole Assignment ◽  
Pi Controller ◽  
Friction Torque ◽  
System Model ◽  
Angle Error ◽  
Assignment Method

With the development of robot technology, integrated joints with small volume and convenient installation have been widely used. Based on the double inertia system, an integrated joint motor servo system model considering gear angle error and friction interference is established, and a joint control strategy based on BP neural network and pole assignment method is designed to suppress the vibration of the system. Firstly, the dynamic equation of a planetary gear system is derived based on the Lagrange method, and the gear vibration of angular displacement is calculated. Secondly, the vibration displacement of the sun gear is introduced into the motor servo system in the form of the gear angle error, and the double inertia system model including angle error and friction torque is established. Then, the PI controller parameters are determined by pole assignment method, and the PI parameters are adjusted in real time based on the BP neural network, which effectively suppresses the vibration of the system. Finally, the effects of friction torque, pole damping coefficient and control strategy on the system response and the effectiveness of vibration suppression are analyzed.

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