scholarly journals Validation of Lean Manufacturing Implementation Framework Using Delphi Technique

2012 ◽  
Vol 59 (2) ◽  
Author(s):  
Norani Nordin ◽  
Baba Md Deros Md Deros ◽  
Dzuraidah Abdul Wahab ◽  
Mohd Nizam Ab. Rahman

Lean manufacturing is a proven approach for success in manufacturing industry. However, several organisations failed in their attempt to implement lean manufacturing system. The transition to lean manufacturing requires radical change which involves a total reshaping of purpose, system and culture of the organisation. Therefore, a lean manufacturing implementation framework was developed. This framework is intended to provide practitioners with a better understanding of lean transition and minimize the conflicts of implementing lean manufacturing system. The purpose of this paper is to validate the proposed lean manufacturing implementation framework using Delphi technique. This technique is a process of gathering opinions of experts, which designed to achieve a convergence of opinions on a specific real–world issue. The work continued over two iterative rounds until consensus or stability is reached. Comments and suggestions given by the experts help to further improve and validate the framework. As conclusion, the final framework of lean manufacturing implementation is presented.

2011 ◽  
Vol 314-316 ◽  
pp. 2105-2111 ◽  
Author(s):  
Nordin Norani ◽  
Baba Md Deros ◽  
Dzuraidah Abd Wahab ◽  
Mohd Nizam Ab Rahman

Lean manufacturing is a proven approach for success in manufacturing industry. However, several organisations failed in their attempt to implement lean manufacturing system. The transition to lean manufacturing requires radical change which involves a total reshaping of purpose, system and culture of the organisation. This paper presents an investigation on the influence of organisational change to the transition of lean manufacturing. This study used an explanatory mixed method approach, which began with survey distribution, and then the general picture was further refined by conducting in-depth interviews on Malaysia automotive companies. The results revealed that company which emphasized on leadership and management, change agent system, effective communication, worker’s empowerment through training and team development, and also lean review system experienced smooth transition to lean manufacturing system. Failure to recognize the required organisational changes to adapt lean manufacturing system will hinder the long-term benefits of the organisation.


2018 ◽  
Vol 150 ◽  
pp. 05034 ◽  
Author(s):  
San Chee Houa ◽  
M. Haslinda ◽  
Sedek Muliati ◽  
Abdullah Mariam Miri ◽  
A. F. Rahim

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.


2014 ◽  
Vol 635-637 ◽  
pp. 1866-1870
Author(s):  
Chun Xiao Wang ◽  
Ying Guo ◽  
Jun Wang ◽  
Liang Li

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.


2011 ◽  
Vol 110-116 ◽  
pp. 3997-4003 ◽  
Author(s):  
Jirapat Wanitwattanakosol ◽  
Apichat Sopadang

—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.


2016 ◽  
Vol 138 (01) ◽  
pp. 30-35 ◽  
Author(s):  
Gary Cowger

This article highlights advantages of Lean Manufacturing in the manufacturing industry. The U.S. Bureau of Census survey shows that leaner the company, the faster it grows and the more profitable, productive, and innovative it becomes. It is a constellation of interrelated processes that improve productivity and reduce waste through continuous monitoring, evaluation, and improvement. The successful results of lean implementation have shown that workers are going to have to take more responsibility for outcomes, and managers are going to have to treat workers like partners. However, lean brings out the skepticism in many engineers and owners of small- and medium-sized businesses. It takes a lot to convince them to invest the time and money needed to transform even a modest factory into a lean operation. Lean has proven to be a philosophy of continuous improvement, as learning how to expose and fix problems creates sustainable advantages that are expected to continue in the future.


2020 ◽  
Vol 1 ◽  
pp. 1697-1706
Author(s):  
Y. Eriksson ◽  
M. Sjölinder ◽  
A. Wallberg ◽  
J. Söderberg

AbstractA testbed was developed aiming to contribute to further knowledge on what is required from a VR application in order to be useful for planning of assembly tasks. In a pilot study the testbed was tested on students. The focus of the study was to explore the users’ behaviour, and to gain a better understanding of their experience using VR. The students experienced a gap between the real world and VR, which confirms theories that VR is not a copy or twin of an object or environment.


Author(s):  
Vipul Deshpande

Abstract: Lean manufacturing has been one of the most standard method in the manufacturing and service industry for elimination of waste. Every manufacturing industry has to put in continuous effort for its survival in the current impulsive and competitive economy. The purpose of this paper is to investigate the adoption of lean manufacturing tools and techniques in the manufacturing industries. This paper is based on actual implementation of lean manufacturing techniques. It focuses on the execution of flow from the start until the end of the implementation, types of analysis and tools applied, evaluation methods and how the industry benefited from the implementation. In this case study we particularly focused on Shop floor management, Quality Management (QM), Supplier and Customer Management (SCM) and Workforce Management (WM). After going through various testing on implementation of Lean Manufacturing principles in Micro Small medium Enterprise (MSME), researcher studied thoughts of some author where they discussed pragmatic problems they overcome while implementing lean principles in developing economies MSME. At the end, the result shows that there is monthly increment in capital productivity and labour productivity. And decrement in inhouse rejection, breakdown hours and customer complaint from the implementation of lean.


Discrete-Event Simulation (DES) is concerned with system and modeling of that system, where the state of the system is transformed at different discrete points from time to time, and several event occurs from time to time and the changes in state variables will transform then activities/attributes connected to these state variables changes according to the event. It is a robust methodology in the manufacturing industry for strategic, tactical, and operational applications for an organization, and yet organizations ignore to use simulation and do not rely on it. Moreover, companies that are using DES are not using the potential benefits but merely used as a short-hand basis for problems like bottlenecks, optimization, and in later stages of production like PLM, this paper aims to apply and analyze Discrete-Event Simulation through a Manufacturing System. The work describes here is to understand the concept of simulation for a system and to practice Discrete Event methodology


2018 ◽  
Vol 11 (3) ◽  
pp. 390 ◽  
Author(s):  
Basar Ogun ◽  
Çigdem Alabas-Uslu

Purpose: Today’s manufacturing facilities are challenged by highly customized products and just in time manufacturing and delivery of these products. In this study, a batch scheduling problem is addressed to provide on-time completion of customer orders in the environment of lean manufacturing. The problem is to optimize partitioning of product components into batches and scheduling of the resulting batches where each customer order is received as a set of products made of various components.Design/methodology/approach: Three different mathematical models for minimization of total earliness and tardiness of customer orders are developed to provide on-time completion of customer orders and also, to avoid from inventory of final products. The first model is a non-linear integer programming model while the second is a linearized version of the first. Finally, to solve larger sized instances of the problem, an alternative linear integer model is presented.Findings: Computational study using a suit set of test instances showed that the alternative linear integer model is able to solve all test instances in varying sizes within quite shorter computer times comparing to the other two models. It was also showed that the alternative model can solve moderate sized real-world problems.Originality/value: The problem under study differentiates from existing batch scheduling problems in the literature since it includes new circumstances which may arise in real-world applications. This research, also, contributes the literature of batch scheduling problem by presenting new optimization models.


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