scholarly journals Technical, economic, and environmental performance assessment of manufacturing systems: The Multi-layer Enterprise Input-Output formalisation method

2021 ◽  
Author(s):  
Claudio Castiglione ◽  
Erica Pastore ◽  
Arianna Alfieri

In production planning and control, assessing the performance of a manufacturing system is a multi-dimensional problem, in which neglected dimensions may lead to hidden inefficiencies and missed opportunities for gaining a competitive advantage. This paper proposes a data formalisation method to model a manufacturing system by simultaneously considering value creation and technical, economic, and environmental performance. The proposed method combines the techno-economic assessment of lean manufacturing and sustainable manufacturing with the data-driven approach, typical of Industry 4.0, to overcome the limitations of the lean approaches in addressing complex systems. The method is based on integrating Multi-layer Stream Mapping and a combination of Enterprise Input-Output and Material Flow Analysis. It also considers non-value-added activities such as transport and inventories. Pen and papers and digital approaches can simultaneously exploit the method as a shared architecture for formal data integration. The implementation of the method is shown through a numerical example based on a recycled plastic pipeline manufacturing system.

2012 ◽  
Vol 248 ◽  
pp. 511-515 ◽  
Author(s):  
P. Arunagiri ◽  
A. Gnanavelbabu

Elimination of the non-value added activities in the bogie assembly shop during bogie assembly process. The various non-value added activities are found in the assembly shop such as excess distance between each assembly stages, excess cost to flow of material from one stage to another stage, waste of time and non-flexibility of shop. These types of non-value added activities occur due to the improper arrangement of bogie assembly stages. Implementation of lean manufacturing systems through layout design by the conversion of existing layout of bogie assembly shop into proposed layout. Analysing the existing layout by using the CRAFT method to find out the best optimized layout .Interchanges are made between each stages that help to correct the present layout. Design calculation are done for various stages .Interchanging of stages of different section are considered by distant matrix and total cost calculations .Various cost of all the pair wise interchanged stages are estimated to find the best low cost interchange. As per the design calculation best interchange between the two stages are considered and that lead to the development of new proposed layout in which all the non-value added activities are eliminated


2014 ◽  
Vol 656 ◽  
pp. 534-541 ◽  
Author(s):  
Dana Iuliana Tilina ◽  
Miron Zapciu ◽  
Vasile Bendic

Today, manufacturing products in a sustainable way is increasingly becoming essential in the eyes of investors, authorities and customers. Failure leads to fines, penalties, and customers choosing to go to the competition. Success, on the other hand, can save money, helps build a reputation, attracts investment, spurs innovation, secures loyal customers and brings in repeat business. Taking into account the sustainable manufacturing is not just longer a caprice for the business.During the end of the twentieth century and into the twenty-first century two types of manufacturing systems that emphasize waste minimization have emerged: Lean and Green manufacturing. Despite the importance of Green manufacturing to the environmental problem, many companies are still skeptical about the business benefits. In the same time, however, a good many of them see the business benefits of Lean manufacturing. Several research efforts summarized in the literature review indicate how both systems share many of the same best practices to reduce their respective wastes. Yet, these two systems tend to operate independently.The aim of this research is to explore and to determine how the Lean manufacturing can include Green manufacturing system components in their overall strategy to reduce waste.


2014 ◽  
Vol 592-594 ◽  
pp. 2628-2638 ◽  
Author(s):  
T.G. Arul ◽  
C. Arumugam ◽  
P. Parthiban

Lean manufacturing is a management philosophy derived from Toyota Production System (TPS) which aims to increase the overall values of the product or service provided to the customer through elimination of non-value added activities. In the era of globalisation, to remain competitive in the global market, many medium and small sized Indian industries adopt lean manufacturing. This paper focuses on implementation of lean manufacturing in Indian MSMEs. To examine the implementation, attributes which influence lean manufacturing are obtained and industries’ performances on these criteria are rated. In this paper, the methodology selected from many of the multi criteria models is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). In the actual real world situation, because of the unreliable nature of the information gathered, the attributes are often not absolute and are imprecise. These data can be considered as fuzzy and the aim of this paper is to adopt TOPSIS decision making method to problems with fuzzy data. The rating and weights of each data are expressed as triangular fuzzy numbers. These attributes are then normalized and the TOPSIS methodology is carried out to determine the effect of implementing lean manufacturing technique in an industry. The best industry is identified by fuzzy TOPSIS on the basis of performance towards the considered attributes is consistent with results identified by TOPSIS.


2014 ◽  
Vol 4 (3) ◽  
pp. 447-462 ◽  
Author(s):  
Om Ji Shukla ◽  
Gunjan Soni ◽  
G. Anand

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.


Author(s):  
Zeyi Sun ◽  
Stephan Biller ◽  
Fangming Gu ◽  
Lin Li

Due to rapid consumption of world’s fossil fuel resources and impracticality of large-scale application and production of renewable energy, the significance of energy efficiency improvement of current available energy modes has been widely realized by both industry and academia. A great deal of research has been implemented to identify, model, estimate, and optimize energy efficiency of single-machine manufacturing system [1–5], but very little work has been done towards achieving the optimal energy efficiency for a typical manufacturing system with multiple machines. In this paper, we analyze the opportunity of energy saving on the system level and propose a new approach to improve energy efficiency for sustainable production systems considering the fact that more and more modern machines have multiple power states. Numerical case based on simulation model of an automotive assembly line is used to illustrate the effectiveness of the proposed approach.


Author(s):  
J. T. Black ◽  
David S. Cochran

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.


Proceedings ◽  
2018 ◽  
Vol 2 (23) ◽  
pp. 1457 ◽  
Author(s):  
Md Tasbirul Islam ◽  
Nazmul Huda

This paper reviews around 41 articles providing the trends, characteristics, research gaps and challenges of these studies that may help e-waste management-related academics and practitioners with an overview of the need for such tool to be applied. The results and highlighted future research perspectives discussed in this study will definitely help to analyze e-waste management systems with more critical aspects, i.e., hidden and known flows of waste products and associated materials, economic assessment of material recovery and the role of responsible authorities.


2020 ◽  
Vol 12 (18) ◽  
pp. 7258
Author(s):  
Ping-Kuo Chen ◽  
Itziar Lujan-Blanco ◽  
Jordi Fortuny-Santos ◽  
Patxi Ruiz-de-Arbulo-López

This paper explores the relationships between lean manufacturing (LM), the promotion of green practices, employee involvement, pressure to take actions against environmental issues, the adoption of an ISO 14001-based environmental management system (EMS) and environmental performance in order to understand how LM can help improve environmental performance through environmental practices and the development of a lean culture. The effects of pressure to “go green”, employee involvement and the adoption of an EMS based on the International Organization for Standardization’s standard ISO 14001 are discussed. Data were collected from 220 Chinese manufacturing firms and analyzed using partial least squares (PLS) regression. The results suggest that the implementation of LM has a positive effect on the promotion of green practices and consequent achievement of high environmental performance; employee involvement is a moderator that affects the relationship between green practices and environmental performance; pressure to “go green” is a mediator in the relationship between LM and green practices; however, the adoption of ISO 14001 does not act as a moderator on the relationship between LM and green practices, but synergies emerge if ISO 14001 is integrated with LM. The study shows the importance of human attitudes and fosters managers to develop the necessary mechanisms to ensure and enhance employee involvement and lean culture. Although these determinants of environmental sustainability have been studied separately until now, this paper analyzes them simultaneously, investigating the relationship between different strategies and shedding some light on successful actions that promote sustainable manufacturing, and on the role of LM in sustainability. The findings can help manufacturers to take the initiative to improve environmental performance and assist governments in implementing industrial policies.


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