Simulation is a very powerful and flexible tool in the design and analysis of many different types of systems. Discrete-event simulation is commonly used tool in warehousing and manufacturing industry. Although it is a very powerful and flexible means for designing and analyzing many different types of systems, without a systematic approach, it can be inefficient, expensive, and even misleading. However, a close examination of the steps one has to take through real-life applications shows that a common methodology can be used to successfully utilize simulation in all application areas. This project presents a simulation model for the warehouse operations. The warehouse operations comprising an AGV system is simulated for a random environment. The randomness is created in the system due to varying demand and the service time. ARENA 7.0 is used to develop a discrete simulation model. The significance of the study is to interpret this simulation technique that will enable the management to make better decisions.
The purpose of this project was to design and simulate a high-rise pallet facility for a defense depot. The high-rise storage structure utilizes Storage and Retrieval (S & R) machines for performing picking and stowing operations. Automatic Guided Vehicles (AGVs) are used for transporting loads to and from the storage structure. A simulation model was developed to mimic the dynamic elements of both the S & R and AGV systems. The model was used to evaluate the size and scope of the system, how operating policies would affect performance, trouble areas or possible bottlenecks and the utilization of the equipment. The task required that separate models for the storage and retrieval system and the transport system be written and integrated. The model for the storage & retrieval system was written in FORTRAN and simulates an orderpicking operation. Several unique features were incorporated, including sequencing and batching of orders, variation in the stacking height for each storage level, and movement of S & R machines. S & R machines were allowed to move freely within their assigned bays although only one S & R machine was permitted in an aisle at a time. An AGV transport system model was generated using both FORTRAN functions and SLAM network statements provided in the Material Handling (MH) extension package. The control points, segments of the guidepath, and the AGV specifications were all input as resource blocks. (FR).
This two-volume set CCIS 751 and CCIS 752 constitutes the proceedings of the 17th Asia Simulation Conference, AsiaSim 2017, held in Malacca, Malaysia, in August/September 2017. The 124 revised full papers presented in this two-volume set were carefully reviewed and selected from 267 submissions. The papers contained in these proceedings address challenging issues in modeling and simulation in various fields such as embedded systems; symbiotic simulation; agent-based simulation; parallel and distributed simulation; high performance computing; biomedical engineering; big data; energy, society and economics; medical processes; simulation language and software; visualization; virtual reality; modeling and Simulation for IoT; machine learning; as well as the fundamentals and applications of computing.
Automated material handling system is being widely used in manufacturing and assembly facilities. Automated Guided Vehicle Systems (AGVS) is the one that enjoys a significant rate in application among many common material handling systems. Although AGV can improve the productive performance of a plant, the degree of benefits is dependent to how the design of the overall system is. Simulation is generally used to generate a good facility design because it can address the complex nature of such decision. Simulation is time-consuming, but it could provide valuable insight necessary to manufacturing problems. This thesis undertakes the analysis of multiple load vehicles. The model attempts to use characteristics of a facility to determine the use of multiple load vehicles. Two output queuing systems that address some real life issues in picking up the unit loads are incorporated to the simulation model.
Teaches basic and advanced modeling and simulation techniques to both undergraduate and postgraduate students and serves as a practical guide and manual for professionals learning how to build simulation models using WITNESS, a free-standing software package. This book discusses the theory behind simulation and demonstrates how to build simulation models with WITNESS. The book begins with an explanation of the concepts of simulation modeling and a “guided tour” of the WITNESS modeling environment. Next, the authors cover the basics of building simulation models using WITNESS and modeling of material-handling systems. After taking a brief tour in basic probability and statistics, simulation model input analysis is then examined in detail, including the importance and techniques of fitting closed-form distributions to observed data. Next, the authors present simulation output analysis including determining run controls and statistical analysis of simulation outputs and show how to use these techniques and others to undertake simulation model verification and validation. Effective techniques for managing a simulation project are analyzed, and case studies exemplifying the use of simulation in manufacturing and services are covered. Simulation-based optimization methods and the use of simulation to build and enhance lean systems are then discussed. Finally, the authors examine the interrelationships and synergy between simulation and Six Sigma. Emphasizes real-world applications of simulation modeling in both services and manufacturing sectors Discusses the role of simulation in Six Sigma projects and Lean Systems Contains examples in each chapter on the methods and concepts presented Process Simulation Using WITNESS is a resource for students, researchers, engineers, management consultants, and simulation trainers.
This book is a culmination of many years of experience in the field of simulation and process improvement. Beginning in the early 90s, I was fascinated with simulation and its ability to mitigate risks and improve efficiency. Back then, simulation was hard to use, cumbersome to implement, and was not widely available. Yet, simulation was, and will always be, a highly efficient medium for mitigating risks, optimizing flows, and improving efficiency. This book is designed to provide a step by step approach to simulation. The approach enables both novice and experienced simulation professionals to be successful in their process improvement endeavors. Detailed steps from tool selection and goal definition, to data collection and model build out and analysis are explained. Pitfalls and potential problems are explained along with different mitigation strategies to avoid and correct each one. By applying tools from one industry to another I generated unique and effective solutions to complex problems. The book covers; - Selecting a simulation tool - Data collection and simulation goals. - Steps to successful modeling - How to analyze and optimize the models. - Detailed modeling techniques by industry Throughout my journey I have applied simulation technology to many industries and a multitude of problems. From Banking to healthcare, and manufacturing to warehousing, I have built simulation models that represent reality to a high degree of accuracy. The developed models were used to improve, optimize and analyze different process flows and designs. Simulation projects don't always succeed due to many factors. With all the successes, I have seen simulation projects fail to produce the desired results, or generate the needed information for proper analysis. Following the TQM and lean revolution, companies required lean methodology to be implemented. Yet, many saw the transition as too risky and different than the current way. Simulation was, and still is, the tool required to help in that transition by reducing the associated risk and proving to the skeptical that the transition is better than current status quo. Change is never easy, it is the natural transition to better things, but without change there is no progress.
Designed for junior- and senior-level courses in plant and facilities planning and manufacturing systems and procedures, this textbook also is suitable for graduate-level and two-year college courses. The book takes a practical, hands-on, project-oriented approach to exploring the techniques and procedures for developing an efficient facility layout. It also introduces state-of-the-art tools including computer simulation. Access to Layout-iQ workspace planning software is included for purchasers of the book. Theoretical concepts are clearly explained and then rapidly applied to a practical setting through a detailed case study at the end of the volume. The book systematically leads students through the collection, analysis, and development of information to produce a quality functional plant layout for a lean manufacturing environment. All aspects of facility design, from receiving to shipping, are covered. In the sixth edition of this successful book, numerous updates have been made, and a chapter on engineering cost estimating and analysis has been added. Also, rather than including brief case-in-point examples at the end of each chapter, a single, detailed case study is provided that better exposes students to the multiple considerations that need to be taken into account when improving efficiency in a real manufacturing facility. The textbook has enjoyed substantial international adoptions and has been translated into Spanish and Chinese.
"Facilities Design" covers modeling and analysis of the design, layout and location of facilities. It also covers design and analysis of materials handling.
In addition, the book explains how to solve a wide range of typical problems, exploit the potential of information systems, reduce damage and loss, and improve warehouse safety.
Designed for junior- and senior-level courses in Plant and Facilities Planning and Manufacturing Systems and Procedures, this textbook is also suitable for graduate-level and two-year college courses. The book takes a practical, hands-on, project-oriented approach to exploring the techniques and procedures for developing an efficient facility layout. It also introduces state-of-the-art tools including computer simulation. Access to Layout-iQ workspace planning software is included for purchasers of the book. Theoretical concepts are clearly explained and then rapidly applied to a practical setting through a detailed case study at the end of the volume. The book systematically leads students through the collection, analysis, and development of information to produce a quality functional plant layout for a lean manufacturing environment. All aspects of facility design, from receiving to shipping, are covered. In the fifth edition of this successful book, previously published by Prentice Hall, numerous updates and corrections have been made. Also, rather than including brief case-in-point examples at the end of each chapter, a single, detailed case study is provided that better exposes students to the multiple considerations that need to be taken into account when improving efficiency in a real manufacturing facility. The textbook has enjoyed substantial international adoptions and has been translated into Spanish and Chinese. This replaces the 4th Edition by Prentice Hall (ISBN# 978-0135001059).
