author Nasution Ninan 
2nd author Moon Philjun,
Dweekat Abdallah
Park Jinwoo 
presenter Nasution Ninan 
info  
year 2017 
category IC 
start / end date 02.08 / 02.09 
city / nation Seoul 
학회 SICEAS 
keywords Container Loading Problem, Depth Camera, Size Measurement, Computer Vision 
abstract Minimizing inventory cost in supply chain management has becoming important research field in supply chain area. One of the researches is space utilization when loading the logistics inside the container. Inefficient container loading could result an unnecessary additional costs. For instance, Parcel Delivery Company receives different boxes with different shapes and sizes every single day. In that case, the way how to stack the parcel boxes inside the container are not same for every day and become unpredictable. Many research papers tried to solve this problem theoretically using both exact and heuristic algorithms, (Bortfeldt & Wäscher, 2013). In this paper, authors are trying to address these unpredictable scenarios and propose a new approach that can handle this situation in real life.
In the proposed solution, measurement is the key important part of the solution. In the beginning, the new system will measure the size: width, height and depth of packaging boxes in real time using depth camera. When the system recognized available boxes with their size, the data will be processed for the next purpose. Problem arises when boxes are going to be loaded into the container. What is the best way to stack the heterogeneous boxes inside the container so that wasted spaces are minimized? With placing the depth camera to scan the container environment, system will know the real-time condition of the container, and the dimensions of the coming boxes and then calculate the best way to stack after the camera learned the environment. 
Minimizing inventory cost in supply chain management has becoming important research field in supply chain area. One of the researches is space utilization when loading the logistics inside the container. Inefficient container loading could result an unnecessary additional costs. For instance, Parcel Delivery Company receives different boxes with different shapes and sizes every single day. In that case, the way how to stack the parcel boxes inside the container are not same for every day and become unpredictable. Many research papers tried to solve this problem theoretically using both exact and heuristic algorithms, (Bortfeldt & Wäscher, 2013). In this paper, authors are trying to address these unpredictable scenarios and propose a new approach that can handle this situation in real life.
In the proposed solution, measurement is the key important part of the solution. In the beginning, the new system will measure the size: width, height and depth of packaging boxes in real time using depth camera. When the system recognized available boxes with their size, the data will be processed for the next purpose. Problem arises when boxes are going to be loaded into the container. What is the best way to stack the heterogeneous boxes inside the container so that wasted spaces are minimized? With placing the depth camera to scan the container environment, system will know the real-time condition of the container, and the dimensions of the coming boxes and then calculate the best way to stack after the camera learned the environment.

번호 category 학회 제목 author presenter year
15 IC  APORS  A study on makeshift recovery planning in emergency logistics considering disaster scene's risks and uncertainties file Sumin Han  Sumin Han  2015 
14 IC  APMS  A new Approach for finite Capacity Planning in MRP Environment Hongbum Na    2006``` 
13 IC  APMS  Utility Value and Fairness Consideration for Information Sharing in a Supply Chain Myongran Oh    2007 
12 IC  APMS  A study on Active Information Sharing for Organizing Effective Collaborative Manufacturing Yuncheol Kang    2008 
11 IC  APMS  A Framework for Enhancing Responsiveness in Sales Order Processing System Using Web Services and Ubiquitous Computing Technologies Mokmin Park    2009 
10 IC  APMS  Supply Chain Planning in Open Business Environment based on Business Patterns Hanil Jeong    2010 
9 IC  APMS  Modeling and optimization of unrelated parallel machine scheduling problem with time-dependent and machine-dependent electricity cost Joon Yung Moon    2011 
8 IC  APMS  Designing an Integrated Data System for Remanufacturing with RFID Technology Youngwoo Kim    2012 
7 IC  APMS  Development of a Strategic Model for Freight Transportation with a Case Study of the Far East Louis Coulet    2013 
6 IC  APMS  A Lifecycle Data Management System Based on RFID Technology of EPCC1G2 Youngwoo Kim    2014 
5 IC  APMS  Korea Smart Factory Program - Keynote Jinwoo Park  Jinwoo Park  2015 
4 IC  APIEMS  An Integrated Approach for Loading and Scheduling of a Flexible Manufactureing System Sangbok Woo    1999 
3 IC  APIEMS  A Study on Developing a Scheduling System in Alternative Routing and Machine Environment Kidong Kim    1999 
2 IC  APIEMS  A genetic algorithm based approach for the periodic vehicle routing problem Joon Yung Moon    2009 
1 IC  APIEMS  A study on relieving electric power shortage by on-site solar power supply CHOE SANG YUN  CHOE SANG YUN  2014