Lean manufacturing system for medium size manufacturing enterprises: an Indian case

2010 ◽  
Vol 5 (5) ◽  
pp. 362-375 ◽  
Author(s):  
Nitin Upadhye ◽  
S. G. Deshmukh ◽  
Suresh Garg
Keyword(s):  
Lean Manufacturing ◽  
Manufacturing System ◽  
Medium Size ◽  
Manufacturing Enterprises

Research of Industrial Collaborative Manufacturing System on Based on Cloud Computing

2014 ◽  
Vol 635-637 ◽  
pp. 1866-1870
Author(s):  
Chun Xiao Wang ◽  
Ying Guo ◽  
Jun Wang ◽  
Liang Li
Keyword(s):  
Cloud Computing ◽  
Support System ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Service Model ◽  
Manufacturing Enterprises ◽  
Collaborative Manufacturing ◽  
Design Collaboration ◽  
Elastic Computing ◽  
Economic Growth Mode

This paper analyzes the main problems in informatization of china's manufacturing industry, and researches an industrial collaborative manufacturing system for large and medium-sized manufacturing enterprises taking advantage of the benefits of cloud computing such as resource integration, elastic computing, mass data, and service integration. The system includes technical support system, business support system, security system and service portal, which providing design collaboration services, production collaboration services, business collaboration services, office collaboration services for enterprises, and forming a complete standard system. This will further promote the innovation of the service model and change of economic growth mode in our country.

A Framework for Implementing Lean Manufacturing System in Small and Medium Enterprises

2011 ◽  
Vol 110-116 ◽  
pp. 3997-4003 ◽  
Author(s):  
Jirapat Wanitwattanakosol ◽  
Apichat Sopadang
Keyword(s):  
Lean Manufacturing ◽  
Manufacturing System ◽  
Job Shop ◽  
Small And Medium Enterprises ◽  
Phase 1 ◽  
Optimization Technique ◽  
Value Stream Mapping ◽  
Two Phase ◽  
Make To Order ◽  
Medium Enterprises

—In this paper, a conceptual framework to apply many techniques for implementing lean in the high-variety low-volume (HVLV) environment is presented. Lean production has increasingly being implemented as a potential solution for many organizations. Anyway, the lean formula is applicable directly only to the make-to-stock business, but the make-to-order (MTO) product environment has to adapt lean manufacturing principle. The method of this paper has a two-phase quantitative framework to transform small and medium enterprises (SMEs) to be lean. Phase 1 has three interrelated components: (1) re-engineering an organization by using the power of computer simulation combined with business process. (2) Value stream mapping (VSM) is used to create a map of both value and waste in a given process. This tool has also a main drawback for job shop facility because many value streams are composed of hundreds of industrial parts and products. (3) Integrative supplier relationship is one of the most critical factors to maintain an advantage in the increasing levels of competition. Phase 2 performs a just in time production schedule by using ant colony optimization technique combines with a simulation tool. The aims of this paper are to develop a suitable lean manufacturing system for SMEs and to study the performance of the system for improving effectiveness. The result shows how to combine lean concept with simulation optimization, the step of this framework to obtain the optimization solution.

scholarly journals Implementation of 5S in Manufacturing Industry: A Case of Foreign Workers in Melaka

2018 ◽  
Vol 150 ◽  
pp. 05034 ◽  
Author(s):  
San Chee Houa ◽  
M. Haslinda ◽  
Sedek Muliati ◽  
Abdullah Mariam Miri ◽  
A. F. Rahim
Keyword(s):  
Lean Manufacturing ◽  
Quantitative Methods ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Research Study ◽  
Foreign Workers ◽  
Main Role ◽  
Cross Sectional ◽  
Descriptive Research ◽  
Barriers To Implementation

Lean manufacturing system has been infiltrated in manufacturing sectors across the world. In fact, Lean manufacturing system is a practice which regards the use of the resources, creation of value for the end customers, and as the ways to eliminate the waste. There are several tools that can be used to eliminate the waste within the industry. This research is a study of the implementation of 5S in manufacturing industry. Despite this, the research study focused on manufacturing industry, which has been implemented 5S system in Melaka State. Although there are number of tools and technique available to help in improving the manufacturing process, however, there is only few industries could implement the tools successfully. In this research, foreign workers play a main role in implement the 5S systems as the manufacturing industry in Malaysia adopt large amount of foreign workers to work as employees. Therefore, it is important to ensure the foreign workers truly understand the concept of 5S system and adopt the best ways to implement it in order to have better performance. This research study has been proposed by the research model of the barriers to implementation of 5S in manufacturing industry among foreign workers. A several research method has been adopted to do the research, such as descriptive research design with quantitative methods, survey questionnaire and cross-sectional studies.

A Waste Elimination Process

2020 ◽  
pp. 567-598
Author(s):  
Sherif Mostafa ◽  
Jantanee Dumrak
Keyword(s):  
Continuous Improvement ◽  
Lean Manufacturing ◽  
Manufacturing System ◽  
Important Task ◽  
Elimination Process ◽  
Green Waste ◽  
Waste Removal ◽  
Waste Elimination ◽  
Process Structure

The continuous improvement using waste elimination has been emphasized as the most important task of modern organizations. Lean manufacturing system has proved its capability to eliminate waste and produce environmental gains. The eight types of waste identified under lean have positive relations to green waste. In this chapter, a waste elimination process is suggested as an approach for lean sustainable outcomes. The process structure contains three consecutive phases: waste documentation, waste analysis, and waste removal. The techniques and tools of each phase are inclusively discussed.

scholarly journals Improving the Effectiveness of Multi-Agent Cooperation for Green Manufacturing in China: A Theoretical Framework to Measure the Performance of Green Technology Innovation

2020 ◽  
Vol 17 (9) ◽  
pp. 3211 ◽  
Author(s):  
Shi Yin ◽  
Nan Zhang ◽  
Baizhou Li
Keyword(s):  
Manufacturing System ◽  
Technology Innovation ◽  
Green Manufacturing ◽  
Green Technology ◽  
Innovation Performance ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Manufacturing Enterprises ◽  
Multi Agent ◽  
Agent Cooperation

A green manufacturing system is an important tool to realize green transformation of the manufacturing industry. The systematicness of green technology innovation as the key foundation of green manufacturing supports the entire huge green manufacturing system. In order to improve the effectiveness of multi-agent cooperation, it is necessary to analyze a series of green technology innovation achievements of manufacturing enterprises under multi-agent cooperation. First of all, inter-indicator correlation analysis and exploratory factor analysis were used to construct the evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation. Then, a secondary combined evaluation model was constructed based on the evaluation conclusions. Finally, a theoretical framework was constructed to measure the performance of the green technology innovation of manufacturing enterprises under multi-agent cooperation. The results of this study are as follows: The evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation is composed of the technology output, economic output, and social effect of green technology innovation. The key factors that influence the green technology innovation performance of manufacturing enterprises under multi-agent cooperation are the proportion of green technology transformation in traditional technology, the number of papers published jointly by multi-agent cooperation, the user acceptance of green technology products, and the degree of improvement of public environmental preference and consciousness. A fusion of technology of subjective and objective methods is an effective evaluation technique and can be applied to evaluate the performance of green technology innovation. The secondary combined evaluation combines the evaluation conclusions obtained by each single evaluation method in a certain form.

An application of grey based decision making approach for the selection of manufacturing system

2014 ◽  
Vol 4 (3) ◽  
pp. 447-462 ◽  
Author(s):  
Om Ji Shukla ◽  
Gunjan Soni ◽  
G. Anand
Keyword(s):  
Decision Making ◽  
Lean Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Strategic Decision ◽  
Decision Matrix ◽  
Content Type ◽  
Manufacturing Organization ◽  
Decision Making Model ◽  
Selection Of

Purpose – In the current customer-driven market, the manufacturers have to be highly responsive and flexible to deliver a variety of products. Hence, to meet this dynamic and uncertain market changes, the production system, which enables the manufacturing of such variety of products should be able to meet such diverse, dynamic changes. Hence, selecting a suitable manufacturing system is a key strategic decision for today's manufacturing organization, which needs to survive in these uncertain market conditions. Hence, the purpose of this paper is to present a decision-making model for selecting the best manufacturing system and also discuss the criteria on the basis of which the management can select the same. Design/methodology/approach – A case of small- and medium-sized company is presented, in which the management is deciding to establish a most suitable manufacturing system. To supplement this, a suitable multi-criteria decision-making model (MCDM), the grey approach is used to analyze manufacturing system alternatives based on various decision criteria to arrive a comparative ranking. Findings – An extensive analysis of grey-based decision-making model described grey decision matrix, grey normalized decision matrix, grey weighted normalized decision matrix and grey possibility degrees for three alternatives revealed that lean manufacturing systems was found to be the most suitable manufacturing system among three alternatives for a given case. Research limitations/implications – The same study can be extended by including sub-criteria with main criteria for selection of manufacturing system by utilizing two MCDM techniques such as AHP or ANP with Grey approach. Practical implications – The Grey approach has been discussed in a detailed way and it will be useful for the managers to use this approach as a tool for solving similar type of decision-making problems in their organizations in the future. Originality/value – Although, the problem of selecting a suitable manufacturing system is often addressed both in practice and research, very few reports are available in the literature of Grey-based decision models that demonstrated its application for selecting a suitable manufacturing systems.

And The World Came To See: New Manufacturing System Designs and Industrial Revolutions

2002 ◽  
Author(s):  
J. T. Black ◽  
David S. Cochran
Keyword(s):  
System Design ◽  
Systems Engineering ◽  
Lean Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Job Shop ◽  
Flow Shop ◽  
The World ◽  
Industrial Revolutions ◽  
New System

AND THE WORLD CAME TO SEE. When a new manufacturing system design (MSD) is developed by a company or a group of companies, the rest of the world comes to those factories to learn about the new system. In the last 200 years, three new factory designs have evolved, called the job shop, the flow shop and the lean shop. Each is based on a new system design — a functional design, a product flow design and a linked cell design. New factory designs lead to new industrial leaders and even new industrial revolutions (IR’s). Two appendixes are included: One outlines the implementation strategy for the lean shop and the other is a discussion of lean manufacturing from the viewpoint of K. Hitomi, Japanese professor of manufacturing systems engineering.

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