A double-DEA framework to support decision-making in the choice of advanced manufacturing technologies

2018 ◽  
Vol 56 (2) ◽  
pp. 488-507 ◽  
Author(s):  
Corrado lo Storto
Keyword(s):  
Decision Making ◽  
Manufacturing Systems ◽  
Composite Indicator ◽  
High Order ◽  
The Body ◽  
Advanced Manufacturing ◽  
Content Type ◽  
Advanced Manufacturing Technologies ◽  
Dea Models ◽  
Manufacturing Technologies

Purpose The purpose of this paper is to propose a methodological framework that combines several data envelopment analysis (DEA) models to deal with the problem of evaluating and ranking advanced manufacturing technologies (AMTs) without introducing any subjectivity in the analysis. Design/methodology/approach The methodology follows a two-phase procedure. First, the relative efficiency of every technology is calculated by implementing different DEA cross-efficiency models generating the same number of high-order indicators as efficiency vectors. Second, high-order indicators are used as outputs in a SBM-DEA super-efficiency model to obtain a comprehensive DEA-like composite indicator. Findings The framework is implemented to evaluate a sample of flexible manufacturing systems. Comparing it to other methods, results show that the methodology provides reliable information for AMTs selection and effective support to management decision-making. Originality/value This paper contributes to the body of knowledge about the utilization of DEA to select AMTs. The framework has several advantages: a discriminating power higher than the basic DEA models; no subjective judgment relative to weights necessary to aggregate single indicators and choice of aggregation function; no need to perform any transformation normalizing original data; independence from the unit of measurement of the DEA-like composite indicator; and great flexibility and adaptability allowing the introduction of further variables in the analysis.

An integrated fuzzy decision support system for multicriterion decision-making problems

2003 ◽  
Vol 217 (1) ◽  
pp. 11-27 ◽  
Author(s):  
F T S Chan ◽  
H K Chan ◽  
M H Chan
Keyword(s):  
Decision Making ◽  
Integrated Approach ◽  
Advanced Manufacturing ◽  
Fuzzy Decision ◽  
Advanced Manufacturing Technologies ◽  
Investment Justification ◽  
Manufacturing Technologies ◽  
Fuzzy Decision Support System ◽  
Multicriterion Decision Making

In order to compete effectively in today's rapidly changing world economy, decision making should be made fast and accurate, especially when many tangible and intangible factors are considered together. Making decisions to implement advanced manufacturing technologies (AMTs) is a good example. However, not all AMT implementations are successful because most of the conventional investment justification criteria are built on tangible factors, such as cost reduction, only. Intangiabl long-term benefits such as improvement in quality, increase in flexibility, and fast delivery are always disregarded. The objective of this paper is to present an integrated approach, which incorporates different approaches (e.g. strategic, economic and analytic evaluations) for assessing the benefits among several alternative proposals, such as implementing AMT, by a fuzzy multicriterion decision-making method.

scholarly journals Managing emergency situations with lean and advanced manufacturing technologies: an empirical study on the Rumbia typhoon disaster

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaodie Pu ◽  
Meng Chen ◽  
Zhao Cai ◽  
Alain Yee-Loong Chong ◽  
Kim Hua Tan
Keyword(s):  
Financial Performance ◽  
Organizational Performance ◽  
Operations Management ◽  
Advanced Manufacturing ◽  
Manufacturing Companies ◽  
Content Type ◽  
Emergency Situations ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies ◽  
The Impact

PurposeThis study aims to examine the impact of lean manufacturing (LM) on the financial performance of companies affected by emergency situations. It additionally explores the role of advanced manufacturing technologies (AMTs) in complementing LM to enhance financial performance in emergency and non-emergency situations.Design/methodology/approachBoth survey and archival data were collected from 219 manufacturing companies in China. With longitudinal data collected before and after an emergency situation (i.e. Typhoon Rumbia), regression analysis was conducted to investigate the effects of LM and AMTs on financial performance in different contexts.FindingsOur results reveal an inverted U-shaped relationship between LM and financial performance in the context of emergency. We also found that AMTs exerted a positive moderation effect on the inverted U-shaped relationship, indicating high levels of AMTs that mitigated the inefficiency of LM in coping with supply chain emergencies.Research limitations/implicationsThrough simultaneous investigation of LM and AMTs as bundles of practices and their fit with different contexts, this study takes a systems approach to fit that advances the application of contingency theory in the Operations Management literature to more complex patterns of fit.Originality/valueThis study illuminates how AMTs support LM practices in facilitating organizational performance in different contexts. Specifically, this study unravels the interaction mechanisms between AMTs and LM in influencing financial performance in emergency and non-emergency situations.

scholarly journals Value and barriers in the creation of intellectual property in advanced manufacturing: a country comparison

2019 ◽  
Vol 34 (3) ◽  
pp. 651-663
Author(s):  
Jon Charterina ◽  
Andrés Araujo
Keyword(s):  
Advanced Manufacturing ◽  
Enabling Technology ◽  
Content Type ◽  
Research Institutes ◽  
Advanced Manufacturing Technologies ◽  
The Us ◽  
Geographic Environment ◽  
Peripheral Areas ◽  
Manufacturing Technologies ◽  
Business To Business

PurposeThe purpose of this paper is to determine to what extent small sized and periphery-located firms compensate the comparative disadvantages of big centrally located firms, through patent ownership agreements with other agents, notably research institutes.Design/methodology/approachThe authors develop an empirical study of patents from two completely different economic areas, a central and a peripheral one, represented by Germany and Spain, respectively, in the domain of the Key Enabling Technology (KET) of advanced manufacturing technologies in robotics and automation. Comparing the population of 211 Spanish patents granted with a random sample of 500 German patents, from the files of the US Patent and Trademark Office, the authors obtain and test a series of logistic regression functions taking the predicted possibilities to develop patents with more citations, as a proxy for their value.FindingsWhereas big companies from central locations do not obtain more heavily cited patents from sharing their R&D activity with other firms or research institutes, smaller manufacturing firms in peripheral areas, namely, Spain, may find this advantageous. Additionally, patents containing fewer cited articles and citations of previous patents, tend to be cited more frequently. Finally, this same outcome is also observed with patents showing shorter time between the application and grant.Originality/valueTo the best of the authors’ knowledge, this is the first study on patent value which examines the KET of advanced manufacturing technologies in robotics and automation, comparing a central to a peripheral geographic environment, and determining the number, diversity and size of patent assignees. The results prove relevant in general for manufacturing businesses, especially in the Machine-Tool and machinery producing industry. Overwhelmingly, these firms tend to be SMEs basing their marketing activity entirely on a Business-to-Business (B2B) focus, and facing serious obstacles for R&D activity.

Advance manufacturing strategy and firm performance

2017 ◽  
Vol 24 (1) ◽  
pp. 62-101 ◽  
Author(s):  
Balkrishna Eknath Narkhede
Keyword(s):  
Firm Performance ◽  
Business Performance ◽  
Manufacturing Systems ◽  
Organizational Knowledge ◽  
Advanced Manufacturing ◽  
Manufacturing Strategy ◽  
Content Type ◽  
Medium Scale ◽  
Study Approach ◽  
Manufacturing Technologies

Purpose The purpose of this paper is to assess the implications of organizational knowledge, source of information and functional orientation, resource-based view of the manufacturing and global orientation, on manufacturing practices which include advanced manufacturing strategies. Design/methodology/approach An empirical study approach has been used to assess the implications of advanced manufacturing strategies on firm performance. Findings This paper provides a framework for managers to: assess competitive priorities of the industry; identify order winners for the industry; identify key decision areas or practices for improvements; and to assess the role of implications of organizational knowledge on the manufacturing practices. Research limitations/implications The limitations are as follows: the issue of organizational knowledge and learning is assessed from manufacturing view point only; plants located all over India are considered for study; and considers plants employing different manufacturing systems and products. Practical implications Saturated with the conventional manufacturing technologies, a growing number of small- and medium-scale industries began to explore advanced manufacturing technologies (AMTs). Investment in AMTs remains a promising but potentially risky venture. This paper helps the small- and medium-scale industries to adopt viable AMTs and business performance strategies and then provides guidelines for enhancing their competitiveness. Social implications This paper may help all the stakeholders of small- and medium-scale industry. Originality/value This paper is based on one of the few studies conducted to assess the implications of advanced manufacturing strategies on firm performance in Indian scenario.

Facilitating Multiple-Objective Decision-Making for Advanced Manufacturing: A Knowledge Representation and Computational Active Learning-Based Simulation Framework

2015 ◽  
Author(s):  
Shuhui Qu ◽  
Weiwen Jian ◽  
Tianshu Chu ◽  
Jie Wang
Keyword(s):  
Decision Making ◽  
Active Learning ◽  
Knowledge Representation ◽  
Rapid Development ◽  
Multiple Objective ◽  
Advanced Manufacturing ◽  
Simulation Framework ◽  
Advanced Manufacturing Technologies ◽  
Multiple Objective Decision Making ◽  
Manufacturing Technologies

Due to the rapid development of information technology and the impetus for more efficient and adaptive manufacturing processes, the concept of advanced manufacturing has become an increasingly prominent research topic across academia and industry in recent years. One critical aspect of advanced manufacturing is how to optimally cope with the complexities of multiple-objective decision-making to implement advanced manufacturing technologies with currently available enterprise resources and the realistic manufacturing conditions of a company. Generally, to successfully fulfill an advanced manufacturing plan, decision-makers must align short-term objectives with long-term strategies. In addition, the decision-making process usually has to prioritize multiple-objective goals under a considerable number of uncertainties. This requirement presents new challenges for both planning and implementing advanced manufacturing technologies, and thus calls for new approaches for to better support such tasks. This paper proposes a knowledge representation and computational active learning-based framework for dealing with complex, multiple-objective decision-making problems for advanced manufacturing under realistic conditions. Through this study, we hope to shed light on using a simulation framework for multiple-objective decision support, thereby providing an alternative for manufacturing enterprises, which could lead to an acceptable optimal decision with reasonable cost and accuracy. First, we describe the scope of an advanced manufacturing system for industrial manufacturing. Next, we introduce systematic analysis of the complexities of the decision-making to implement advanced manufacturing. Finally, we propose a simulation model for the decision-making and formulate a computational active learning-based framework to efficiently compute goal priorities for multiple-objective decision-making. We validate the framework by presenting a simulation of decision-making.

scholarly journals Enabling Smart Manufacturing Technologies for Decision-Making Support

2016 ◽  
Author(s):  
Moneer Helu ◽  
Don Libes ◽  
Joshua Lubell ◽  
Kevin Lyons ◽  
K. C. Morris
Keyword(s):  
Decision Making ◽  
Manufacturing Systems ◽  
Data Driven ◽  
Smart Manufacturing ◽  
Advanced Manufacturing ◽  
Data Driven Decision Making ◽  
Use Of Data ◽  
Manufacturing Technologies ◽  
Common Understanding ◽  
Decision Making Support

Smart manufacturing combines advanced manufacturing capabilities and digital technologies throughout the product lifecycle. These technologies can provide decision-making support to manufacturers through improved monitoring, analysis, modeling, and simulation that generate more and better intelligence about manufacturing systems. However, challenges and barriers have impeded the adoption of smart manufacturing technologies. To begin to address this need, this paper defines requirements for data-driven decision making in manufacturing based on a generalized description of decision making. Using these requirements, we then focus on identifying key barriers that prevent the development and use of data-driven decision making in industry as well as examples of technologies and standards that have the potential to overcome these barriers. The goal of this research is to promote a common understanding among the manufacturing community that can enable standardization efforts and innovation needed to continue adoption and use of smart manufacturing technologies.

Embracing advanced manufacturing technologies for performance improvement: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Kumar Singh ◽  
Amulya Gurtu
Keyword(s):  
Business Performance ◽  
New Technologies ◽  
Successful Implementation ◽  
Advanced Manufacturing ◽  
Management Support ◽  
Content Type ◽  
Strategic Issues ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Organizations ◽  
Manufacturing Technologies

PurposeThis study has analyzed strategic issues in implementing advanced manufacturing technologies (AMTs) in manufacturing organizations in India and their relative importance.Design/methodology/approachA survey of manufacturing organizations was conducted, and the data were analyzed using statistical tools (one-sample t-tests, correlation and regression analyses).FindingsImprovement in product quality and flexibility of operations are the motivation for AMTs implementation. Top management support and sound financial conditions are essential for implementing AMTs. Successful implementation of AMTs helps in reducing the lead time and improving overall business performance.Research limitations/implicationsThe findings of this study will help organizations in the implementation of AMTs for improving productivity and business performance. The study is limited to manufacturing organizations in India.Practical implicationsOrganizations should allocate sufficient funds for AMT applications. Organizational culture should be made conducive to the adoption of new technologies. Employees should be provided adequate training for its successful implementation.Originality/valueThe main contribution of this paper is that it provides a detailed analysis of strategic issues for implementing AMTs in manufacturing organizations.

Advanced manufacturing technologies, quality management practices, and manufacturing performance in the southern cone of Latin America

2015 ◽  
Vol 13 (2) ◽  
pp. 187-210 ◽  
Author(s):  
Alejandro Bello Pintado ◽  
Ricardo Kaufmann ◽  
Javier Merino Diaz-de-Cerio
Keyword(s):  
Economic Growth ◽  
Latin America ◽  
Quality Management ◽  
Management Practices ◽  
Advanced Manufacturing ◽  
Manufacturing Companies ◽  
Content Type ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Performance ◽  
Manufacturing Technologies

Purpose – This paper aims at providing new evidence on the relationship between advanced manufacturing technologies (AMTs) and quality management (QM) practices on manufacturing performance. Design/methodology/approach – The expected relationship between both AMTs and QM practices on manufacturing performance are tested using a unique sample of 301 manufacturing companies from Argentina (151) and Uruguay (150), employing at least 20 workers, which have been assessed through personal interviews to plant managers and engineers. Findings – Findings evidence the complementarities between QM practices and AMTs to explain enhanced manufacturing performance. Although QM practices have a direct effect on manufacturing performance, the effects of AMTs are significant only in the presence of QM practices. Research limitations/implications – First limitation of the paper is the cross-sectional character of the data analysis. Secondly, the paper cannot avoid the disadvantages inherent in research based on surveys, especially when the answers are of a subjective nature. In addition, the information used is based on the perceptions of managers. Practical implications – Industry practitioners should focus on the implementation of innovation policies that promote long-term economic growth, creating more favorable and better technological and infrastructure institutional conditions to lead to substantial improvements in this economic growth. Originality/value – The paper provides evidence on the interdependence between QM practices and AMTs’ adoption to improve performance of manufacturing companies in the south of Latin America, something that has received very little attention up today. Thus, the paper contributes also to the international debate on differences observed in the implementation of manufacturing innovations in different regions.

Research on the Investment Decision-Making on the Application of Advanced Manufacturing Technologies in Enterprises

2011 ◽  
Vol 323 ◽  
pp. 60-64
Author(s):  
Gang Li
Keyword(s):  
Decision Making ◽  
Fuzzy Theory ◽  
Investment Decision ◽  
Business Environment ◽  
Economic Benefits ◽  
Advanced Manufacturing ◽  
Investment Decision Making ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies ◽  
High Level

Adopting advanced manufacturing technologies (AMTs) is believed to be the key to survival for many companies in the current highly volatile business environment. For adoption of AMT involves a very high level of investment, it is very important to make scientific decision to select AMT. Firstly, the literature of decision-making methods of selecting AMT is reviewed. Secondly, the analysis framework of investment decision-making on AMT is proposed, which includes strategic benefits analysis, economic benefits analysis and risk analysis. Finally, a methodology of evaluating and selecting AMT is put forward by using the concepts of fuzzy theory and hierarchical analysis.

Sign in / Sign up

Export Citation Format

Share Document