scholarly journals Evaluating value streams to achieve lean production in large assembly manufacturing systems utilizing virtual enterprise relationships

1998 ◽  
pp. 229-238
Author(s):  
R. L. Storch ◽  
S. Lim ◽  
M. Williamson
Keyword(s):  
Manufacturing Systems ◽  
Lean Production ◽  
Virtual Enterprise ◽  
Value Streams

Algorithm for Selection of Simulation Software

2012 ◽  
Vol 463-464 ◽  
pp. 1077-1080
Author(s):  
Jana Hlubeňová ◽  
Daniel Hlubeň
Keyword(s):  
Manufacturing Systems ◽  
Virtual Enterprise ◽  
Simulation Software ◽  
Real System ◽  
Simulation Program ◽  
The Real ◽  
Selection Of

A lot of performance products designed for the simulation of manufacturing systems is currently available on the market. Some of them are designed exclusively for logistics, others are designed to simulate the robotic workplace and some of them allow simulation the entire virtual enterprise from its logistics to the entire workplace connected to the real system. The article describes the algorithm for choosing the most suitable simulation program.

Implementing Lean in Engineer-to-Order Manufacturing

2014 ◽  
pp. 148-172 ◽  
Author(s):  
Dominik T. Matt ◽  
Erwin Rauch
Keyword(s):  
Manufacturing Systems ◽  
Lean Production ◽  
Short Description ◽  
Value Stream Mapping ◽  
Value Stream ◽  
Research Activities ◽  
Consolidation Phase ◽  
Engineer To Order ◽  
Lean Methods

This chapter reviews the state of the art in engineer-to-order production and non-repetitive production to give an overview of existing research and applications of Lean in this sector. Afterwards, a real case study at a medium-sized ETO manufacturer shows an approach to implement Lean Production in such a non-repetitive manufacturing environment. The experiences from the case study illustrate that the suitability of certain lean methods, such as value stream mapping or Kanban is limited, while other lean methods, such as 5S, CIP, or a material-oriented layout, brought significant changes. In the consolidation phase of the Lean production system, the authors defined a Lean-Toolset with the most suitable lean methods for engineer-to-order manufacturing systems. A core aspect of the Lean implementation was the desired mind-change of the employees. The chapter closes with a short description of the achieved results in the case study and gives an outlook to further research activities.

scholarly journals LEAN PROJECTS IN THE UNIVERSITY LIBRARY

2019 ◽  
pp. 26-31
Author(s):  
N. V. Molodtsova
Keyword(s):  
Health Care ◽  
Manufacturing Systems ◽  
Lean Production ◽  
Technological Processes ◽  
University Library ◽  
The World ◽  
History Of ◽  
The University

The concept of lean production, the history of its creation, philosophy, main principles and tools are presented. Today technologies of lean production have become an essential part of manufacturing systems of many companies all over the world, including the sphere of health care and culture. Projects, implemented in libraries with the help  of lean technologies, are aimed at optimization  of some particular operations or technological processes, quality and terms of users servicing, elimination of problem segments in library activities.

Intelligent Dynamic Production Scheduling in High-Mix Low-Volume Manufacturing Systems Under Uncertain Environment

2005 ◽  
Author(s):  
Sk Ahad Ali ◽  
Hamid Seifoddini ◽  
Hong Sun
Keyword(s):  
Genetic Algorithm ◽  
Real World ◽  
Production Scheduling ◽  
Manufacturing Systems ◽  
Lean Production ◽  
Simulation Environment ◽  
Real World Applications ◽  
Key Factor ◽  
Low Volume ◽  
Dynamic Production

Today’s globalization market drives industries toward increased expectations on lean production. These expectations have put industries under pressure to become more agile under highly dynamic market and manufacturing conditions in the high-mix low-volume manufacturing systems. Dynamic production scheduling is a key factor in fulfilling the customer’s expectation. It becomes more critical due to dynamics and uncertainty in the manufacturing systems. This research addresses the uncertainty consideration of machine and labor for dynamic production scheduling. Fuzzy based system is used to capture the labor and machine uncertainty and implemented in simulation environment. Based on the variability from the simulation environment, a genetic algorithm based optimization tool is developed for dynamic production scheduling. The proposed method is validated with real-world applications.

EFFICIENT MATERIAL ALLOCATIONS IN HIGH-MIX LOW-VOLUME MANUFACTURING

2010 ◽  
Vol 09 (02) ◽  
pp. 101-116
Author(s):  
AHAD ALI ◽  
HAMID SEIFODDINI ◽  
JAY LEE
Keyword(s):  
Genetic Algorithm ◽  
Real World ◽  
Manufacturing Systems ◽  
Lean Production ◽  
Electronics Manufacturing ◽  
Quick Response ◽  
Manufacturing Environment ◽  
Real World Application ◽  
Intelligent Simulation ◽  
Low Volume

Today's globalization market drives industries toward increased expectations on lean production and quick response to the customers. These expectations have put industries under pressure to become more agile under highly dynamic market and uncertain manufacturing environment. An efficient material allocation becomes critical due to dynamics and uncertainty in the manufacturing systems. This research addresses the optimization needs for effective material allocations in high-mix low-volume manufacturing. Multi-constraint based genetic algorithm and intelligent simulation are used for efficient material allocation. The proposed effective material allocation is validated through real-world application in electronics manufacturing.

Next Generation Manufacturing Systems and the Virtual Enterprise

2009 ◽  
Vol 42 (4) ◽  
pp. 630-637 ◽  
Author(s):  
David Romero ◽  
Ricardo J. Rabelo ◽  
Mauricio Hincapie ◽  
Arturo Molina
Keyword(s):  
Manufacturing Systems ◽  
Virtual Enterprise ◽  
Next Generation

scholarly journals MODELING OF THE MANUFACTURING SYSTEMS STATE IN THE CONDITIONS OF THE LEAN PRODUCTION

2021 ◽  
Vol 2021 (2) ◽  
pp. 4408-4413
Author(s):  
KONSTANTIN DYADYURA ◽  
◽  
LIUDMYLA HREBENYK ◽  
TIBOR KRENICKY ◽  
TADEUSZ ZABOROWSKI ◽  
...  
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Large Time ◽  
Lean Production ◽  
Energy Materials ◽  
Markov Analysis ◽  
Time Varying Parameters ◽  
External Conditions ◽  
Modern Manufacturing ◽  
The Given

This article investigates the hierarchy of the manufacturing system, which consists of a set of interrelated processes aimed at converting information, knowledge, energy, materials, and other resources into value for the consumer based on the principles of lean production. Modern manufacturing systems are becoming more and more complex to manage. The problems that need to be solved are associated with a significant number of time-varying parameters, large time delays, high non-linearity of processes, and a complex relationship between input and output parameters. Depending on the parameters of internal components and characteristics of external conditions, the state of manufacturing systems can change in an unpredictable manner. The paper considers many types of discrete states in which the system can be. The estimation of the probability of finding the manufacturing system in any of the given states was carried out using discrete Markov analysis. The article also presents the results of studies of possible transitions between states in which the production system is presented in the form of a transition matrix.

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