| Case Studies and White Papers |
Conveyor Manufacturer Improves the Performance of its Food Sortation System
A detailed Arena simulation model was developed to represent the sortation system, input conveyor and exit conveyor of a food sortation system. By studying alternative scenarios, the company was able to improve key performance areas. Read more >> |
Consulting Firm Helps Gift Wrap Manufacturer Increase Sales by More Than $1 Million
Analysis of the manufacturer's processes using over 20 "what if" scenarios helped determine recommendations for process improvement leading to reduction of cycle time and operating expenses and increased sales. Read more >> |
Simulation-based Personnel Planning for Materials Handling at a Cross-docking Center Under Retail Distribution Environment
Yan Liu and Soemon Takakuwa
This study focuses on the personnel planning of materials handling at a real cross-docking center under a retail distribution environment.Read more >> |
Evaluating Capacity and Expansion Opportunities at Tank Farm: A Decision Support System Using Discrete Event Simulation
Bikram Sharda and Adriana Vazquez
This paper presents a discrete event simulation based Decision Support System to evaluate tank farm operations. The Deci-sion Support System was developed in order to reduce capital expenditures and assist in decision making for assessing the impact of different improvement opportunities.Read more >> |
Multi Criteria Preventive Maintenance Scheduling Through Arena Based Simulation Modeling
Gonca Altuger and Constantin Chassapis
Many variables affect line utilization and performance and preventive maintenance schedules. This paper implements a multi-criteria decision-making approach using an Arena-based simulation model to select the preventive maintenance schedule that gives the best utility and performance values for a case study of a bread packaging line. Read more >> |
Simulating an Applied Model To Optimize Cell Production and Parts Supply (Mizusumashi) for Laptop Assembly
Hidetaka Ichikawa
This study investigates the optimal production system in Japan using a large-scale sampling survey of laptop assembly pro-duction firm. This paper considers the manufacturing system’s needs in terms of the most suitable number of material handlers to supply parts(=Mizusumashi) from receiving area to the cells as it is linked to efficient cell production for laptop assembly us-ing simulation.Read more >> |
Operational Simulation Model of the Raw Material Handling in an Integrated Steel Making Plant
Robson Jacinto Coelho, Marcelo Moretti Fioroni, Luiz Bueno da Silva, Paula Fernandes Lana, Luiz Augusto G. Franzese, Adriano César Silva, Daniel de Oliveira Mota and Takeo Fugiwara Santos
This article is focused on the design and implementation of an operational simulation model (OSM) of the handling of raw material in an integrated steel making plant, considering operations of receiving, unloading, stocking, handling and supplying the different raw materials related to the production process with an operational perspective.Read more >> |
Emergence of Simulations for Manufacturing Line Designs In Japanese Automobile Manufacturing Plants
Minh Dang Nguyen and Soemon Takakuwa
The aim of this research is to introduce the reader to a new perspective on the framework for designing a manufacturing line project in Japanese automobile manufacturing plants. Read more >> |
Using Multi-Criteria Modeling and Simulation to Achieve Lean Goals
Gerald W. Evans and Suraj M. Alexander
Lean principles require the identification of an ideal system state along with an associated policy to achieve that state. This paper discusses the use of multi-criteria models in conjunction with optimization procedures and simulation in order to identify an ideal system state and associated policy. An illustration involving the determination of a replenishment policy for a distribution system is described. Read more >> |
Simulation of Continuous Behavior Using Discrete Tools: Ore Conveyor Transport
Marcelo Moretti Fioroni, José Fúria, Luiz Augusto G. Franzese, Luciano de Toledo Perfetti, Caio Eduardo Zanin, Donizeti Leonardo and Nilson Laudelino da Silva
The modeling of systems mixing discrete and continuous behavior is a challenge for model builders. Sometimes, the continuous part is important, but small near the complex decision making situation involved, and the requirement to learn new tools to model that continuous part is an obstacle that delays the project. This paper presents a technique to model continuous behavior using just discrete modeling elements. Read more >> |
A New Method for Bottleneck Detection
Sankar Sengupta, Kanchan Das and Robert P. VanTil
This paper presents a new method to identify and rank the bottlenecks in a manufacturing system. Read more >> |
Using Simulation with Design for Six Sigma in a Server Manufacturing Environment
Sreekanth Ramakrishnan, Christiana M. Drayer, Krishnaswami Srihari and Pei-Fang Tsai
This research presents an integrated simulation modeling-Design For Six Sigma (DFSS) framework to study the design and process issues in a server manufacturing environment. Read more >> |
Optimized Maintenance Design for Manufacturing Performance Improvement Using Simulation
Ahad Ali and Xiaohui Chen
This research presents optimized maintenance design using simulation to analyze the capability of auto part manufacturing production system. The integration of simulation and optimization is used to identify critical stations, an optimal system design and maintenance scheduling schemes and evaluates their effects on the overall system performance. Read more >> |
Modeling and Simulation of Retrieving Process
Shih Y. Chin and José H. C. G. Júnior
This paper presents a model of Parts Distribution Center (PDC), developed in Arena® 5.0, which aims at providing information about the total time of the retrieving process as the system is working under unexpected situations. Read more >> |
Simulation Intelligence and Modeling for Manufacturing Uncertainties
Sk Ahad Ali and Hamid Seifoddin
Realistic simulation modeling becomes very essential and effective for designing and managing of manufacturing systems by showing how simulation modeling can help evaluate alternative designs in a dynamic uncertain manufacturing environment. Read more >> |