Implementation Of Advanced Manufacturing Technology Research Articles

Implementation of Industry 4.0 elements and their impact on the enterprise productivity

Purpose: The main incentive for choosing the topic of the study is related to the need to look for solutions to fundamental problems related to the activities of manufacturing enterprises that must meet the requirements of market competition by achieving competitive advantages and increasing productivity. The subject of the study are advanced manufacturing technologies, characterized by a high level of innovation and automation, and their impact on the productivity of a manufacturing company. The aim of the study is to assess the impact advanced manufacturing technologies on the productivity and production quality on the example of a company producing parts and components for rail vehicles. Design/methodology/approach: the study analyzed the literature on productivity and calculated productivity indicators based on the company's financial data. Moreover, the participant observation method was used to assess the reorganization of the production process, and a survey was conducted for company employees to determine the validity of the implemented technological investments. The case study concerns a company producing parts and components for rail vehicles. Findings: The level of approval of investments in advanced manufacturing technologies and their impact on the quality and efficiency of the manufacturing process of was determined. The implementation of advanced manufacturing technologies allowed the company to: shortened the manufacturing process by approximately 40%, the number of procedures was reduced from nine to five, and the number of employees participating in it was reduced from ten to five. Originality/value: assessment of the effects of the use of advanced technologies, the study is addressed to the management of manufacturing enterprises. Keywords: productivity, manufacturing technologies, production, improvement. Category of the paper: Research paper.

Implementation of flexible manufacturing systems in Africa: Multiple case studies in the Gambia and Ghana

In comparison to Europe, Asia, and America, the African manufacturing sector performs poorly. This is largely attributable in part to inadequate use of advanced manufacturing concepts and technologies, as well as the insufficiently skilled workforce. African manufacturing companies must adopt and implement advanced manufacturing technologies and concepts such as flexible manufacturing systems in order to boost growth and accelerate development in the sector. In this study, we conducted multi-case studies on the implementation of flexible manufacturing systems in the manufacturing sectors of two West African countries (The Gambia and Ghana). Six manufacturing companies from The Gambia and eight from Ghana were chosen. Many of the companies involved in the study are small businesses that specialize in mechanical parts/system production, welding, and fabrication. The findings revealed that the use of advanced manufacturing technologies and concepts, as well as the adoption of flexible manufacturing systems, is extremely low. The results also show that the major obstacles to the adoption and implementation of advanced manufacturing technologies are, cost and, lack of qualified personnel. Companies have agreed to adopt and implement advanced manufacturing technologies and concepts if the opportunity arises. They also require more information on some cutting-edge technologies before deciding whether to adopt and implement them. Some of the other major challenges faced by African manufacturing companies include, high energy costs and unstable power supply, poor transportation network, and, lack of adequate finance.

Modelling the critical success factors for advanced manufacturing technology implementation in small and medium sized enterprises

In almost every part of the world, small and medium-sized businesses (SMEs) are seen as the backbone of economic expansion. Small and medium-sized enterprises (SMEs) typically have a simpler organisational structure than large corporations, which allows them to be more adaptable, provide instantaneous feedback, have shorter decision-making chains, and respond more quickly to customer needs. Even so, SMEs face enormous pressure to stay competitive in both domestic and international markets. Globalization, new technologies, and evolving consumer preferences are all contributing to a shift in the competitive landscape. These shifts are compelling small and mediumsized enterprises to adopt cutting-edge manufacturing techniques. The goal of this research is to identify the critical success factors (CSFs) that will help and guarantee that SMEs will be able to successfully implement AMTs (SMEs). Literature-based CSFs for AMT deployment are collected and fine-tuned using input from professionals in the field and scholars in the academy. The method of interpretive structural modelling (ISM) is applied to this CSF analysis. According to the ISM study, the three most important factors influencing the adoption of AMT are "Top management support and commitment," "entrepreneurial environment," and "financial availability." The desired goal of AMT implementation is found to be "performance improvement" and "sustainable AMT implementation." The identified CSFs and the structural relationship between them will help SMEs' top management create and prioritise business strategies that ease the implementation of AMT. The study's results point potential AMT financiers in the right direction by highlighting a handful of critical considerations that will improve the project's chances of success.

A Decision-Making Model for Predicting Technology Adoption Success

Advanced manufacturing technology (AMT) has the potential to significantly improve manufacturing performance and boost competitiveness in the global market. Investment in AMT remains a promising but potentially risky venture due to the numerous factors that must be considered before the full benefits of implementing a new technology can be realized. To respond to the reported risks and uncertainties, such as those revealed in the recent industrial revolution, it is very important to identify and classify the critical factors that can influence the success of AMT adoption early in the planning stage. Based on an extensive review of relevant literature, 32 critical factors are identified and classified into ten categories in this paper. A new multiple-input single-output (MISO) model is developed by combining the fuzzy Delphi method (FDM) and the fuzzy inference system (FIS) based on the objectives defined. The FDM is used to determine the critical factors, and the FIS addresses the general fuzzy multi-attribute decision-making (MADM) problem in order to evaluate and predict the percentage of AMT adoption success with an existing system. The model is validated using a numerical test bed, and the results show that the model is a proper tool for risk management in AMT implementation.

Simulation Analysis of Dynamic Feedback Correlation Between Advanced Manufacturing Technology (AMT) and Product Innovation Performance

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Based on the method of</i> <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">system dynamics, analyzing</i> <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">the causal</i> <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">relationship among variables in the “advanced manufacturing technology (AMT)–product innovation” system, this article constructs the system dynamics model of dynamic evolution between AMT and product innovation and uses Vensim Personal Learing Edition (PLE)</i> <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">for simulation. The simulation analysis provided four major conclusions. First, the impact of AMT on the product innovation performance is characterized by dynamic changes. The initial implementation of AMT exerts a short-term inhibiting effect; however, it provides medium- and long-term benefits that occur 50-plus months after adoption. Second, the enhancement of the single dimension of design, manufacturing, and administrative AMT exerts a positive impact on knowledge absorptive capacity and product innovation performance; however, the impact of design AMT is the most noticeable. Third, the design, manufacturing, and administrative AMTs are complementary, and the product innovation benefit of combining multidimensional AMT is most apparent; the synergistic effect produced by it can markedly enhance the product innovation performance compared with one-dimensional AMT. Finally, prior technical level and organizational learning willingness positively moderate the correlation between AMT and product innovation. However, compared with the prior technical level, organizational learning willingness exerts a more notable moderating effect on the product innovation performance.</i>

A model for successful implementation of advanced manufacturing technologies in small and medium sized Indian enterprises

A model for successful implementation of advanced manufacturing technologies in small and medium sized Indian enterprises

Performance evaluation of advanced manufacturing technologies in small and medium enterprises located in Northern India

The motive of this research is to spread knowledge and highlight the contributions of advanced manufacturing technologies towards performance in small and medium enterprises of Northern India. The impact of advanced manufacturing technologies implementation in manufacturing industries of Northern India has been judgmentally assessed in this paper. A survey of significant and reasonable number of small and medium scale manufacturing enterprises have been made. This research emphasises upon the major impacts of advanced manufacturing technologies such as computer aided design, computer aided manufacturing, robotics, automated material handling system, flexible manufacturing system and enterprise resource planning towards performance parameters such as production, quality, profit, productivity, health and safety, and flexibility. This is one of the first attempts in which relation is developed between advanced manufacturing technologies and firm performance. Further data is investigated using correlation, multiple regression and canonical cross loading analysis.

Embracing advanced manufacturing technologies for performance improvement: an empirical study

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.

Identification of critical success factors in the implementation of advanced manufacturing technologies in the small and medium enterprises of northern India

The objective of this research is to identify and rank the critical success factors in the implementation of advanced manufacturing technologies in small and medium enterprises of northern India. A significant and reasonable number of small and medium scale manufacturing enterprises have been surveyed in order to obtain highly reliable data. The VIKOR method has been applied in order to measure the weightage of each success factor in a simple mathematical form and rank them accordingly. An action plan to overcome barriers and successfully implement advanced manufacturing technologies by following the critical success factors has been suggested. This paper includes various classifications and merits of advanced manufacturing technologies. This research can help enterprises in overcoming barriers in the implementation of advanced manufacturing technologies.

Analyzing performance indicators of advanced manufacturing technology implementation using MCDM

Effective implementation of advanced manufacturing technology (AMT) is essential for sustainable development of any manufacturing industry. In present work, seven performance indicators viz. AMT issues (AI), top management (TM), organizational factors (OF), education, training and incentives (ETI), team based activities (TBA), internal planning activities (IPA) and external planning activities (EPA) of AMT have been shortlisted using extensive literature review and brain storming. Multi-criteria decision making methods are used for analyzing these performance indicators. Analytical hierarchy process (AHP) is applied to obtain the priority weights of performance indicators and Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) method is implemented to find the relative closeness values of selected performance indicators. The results of AHP - TOPSIS showed that top management and education, training and incentives of employees are top rated performance indicators for successful implementation of AMT in a manufacturing industry. The present research could help the researchers and managers who are doing research in the domain of AMT implementation strategy.

Identification of critical success factors in the implementation of advanced manufacturing technologies in the small and medium enterprises of northern India

Identification of critical success factors in the implementation of advanced manufacturing technologies in the small and medium enterprises of northern India

A model for successful implementation of advanced manufacturing technologies in small and medium sized Indian enterprises

A model for successful implementation of advanced manufacturing technologies in small and medium sized Indian enterprises

Make at home or abroad? Manufacturing reshoring through a GPN lens: A Norwegian case study

The explorative paper investigates the drivers for the emerging trend of manufacturing reshoring from low- to high-cost locations. To date research on the reshoring phenomenon has been dominated by micro-level analyses of firms in supply chain management and reported in international business literature. The paper introduces reshoring as a research topic to the economic geography research field, arguing that it connects with the broader topic of regional development. To provide a better understanding of the reshoring phenomenon and to test the applicability of the global production network (GPN) framework in the analysis of the phenomenon, the authors analyse the reshoring of nine of Norwegian manufacturing firms. With the multiscalar lens provided by the GPN framework, the authors find that the implementation of advanced manufacturing technologies is a driver for manufacturing reshoring, but only when matched with key regional assets such as automation knowledge and competence, key human capital, and region-specific manufacturing competence. Additionally, reshoring decisions are influenced by extra-regional factors such as changes in the global economy and market fluctuations. Furthermore, the paper provides a refined conceptualization of strategic coupling processes by including acts of disinvestments and reinvestments performed by actors within global production networks. Accordingly, the authors advocate a more nuanced understanding, defined as partial coupling processes, in contrast to the predominant understanding of coupling processes as ruptures. This refined conceptualization provides enhanced analytical purchase when studying the reshoring phenomenon, as it illuminates the complexity of firms’ production and sourcing strategies and the resulting implications for the economic landscape.

Prioritization of Variables Affecting the Effectiveness of Material Handling System

In today’s competitive technology environment implementation of advanced manufacturing technologies and its systems like flexible manufacturing system (FMS) has become the necessity of manufacturing organizations. Selection of appropriate material handling equipment based on their variables which affect the effectiveness of material handling system has become the necessity requirement of FMS. Keeping this fact in view, the current paper focuses on identification of different variables like speed of delivery, available space, cost and throughput rate etc. which affects the effectiveness of material handling system and prioritization of these variables using TOPSIS approach. The results of present research will aid to select an effective material handling system for enhancing the required productivity of organisations in an effective manner.

Implementation of Advanced Manufacturing Technology in Small and Medium Scale Enterprises

This paper reports the findings of small and medium scale Indian manufacturing industries. The report included four different industry sectors, i.e. automobile, electronics and electrical, manufacturing sector and processing sector. Responses from 242 industries are analysed and presented in this paper. It is observed that Indian industries invests more in ‘Manufacturing AMT’ rather than ‘Design AMT’ or ‘Administrative AMT’ to make the production system simple; ‘Design AMT’ is the second choice to join together the various systems, and finally to automate the manufacturing systems the companies are investing in ‘Administrative AMT’.

An Integrated Fuzzy Group Decision Support Framework for Performance Assessment of Advanced Manufacturing Technologies: An Eclectic Comparison

In a highly volatile manufacturing world, the demand of a product changes on everyday basis. Thus, there is a need of flexibility and competitiveness in the part of manufacturing organizations to cope with the situation. It becomes an absolute necessity for any organization to plump for the implementation of advanced manufacturing technology (AMT) for its betterment. The present paper exhibits a decision model based on Taguchi loss function under fuzzy environment in the process of evaluating the AMTs. Triangular fuzzy numbers are used in the analytics to quantify the obscurity immanent in the subjective estimates. An objective estimate is also undertaken in the model to make it more effective and fruitful. The applicability of the algorithm is exhibited by pitting it against a more orthodox fuzzy VIKOR method on a case study of AMT selection. The results gained thereafter could establish the superiority of the proposed approach.

The impact of advanced manufacturing technologies on performance in an Indian manufacturing industry: A case study

Small and medium enterprises (SMEs) have been facing issues and difficulties for survival especially in developing nations. Competition and latest demands keep them reckoning and enterprises hunt for a solution to overcome them. Implementation of advanced manufacturing technologies seems to be an appropriate solution for various problems faced by them. This research aims to highlight the impact of implementation of advanced manufacturing technologies on various performance parameters of an enterprise. To present this, a case study has been conducted in a plastic injection and rubber die manufacturing industry in northern India. This case study is helpful in motivating the entrepreneurs and management to implement advanced manufacturing as the role of an achiever is vital. Both hard and soft advanced manufacturing technologies have been considered in this analysis. Also, strengths, weaknesses, opportunities and threats analysis has been done which can help the enterprise and similar enterprises to have a wider look for enhancing their business.

Identification of barriers in the implementation of AMTs in the SMEs of northern India using AHP–TOPSIS approach

PurposeThe purpose of this paper is to find out and highlight the major influential barriers in the implementation of advanced manufacturing technologies (AMTs) in small and medium enterprises (SMEs) of Northern India. The major barriers in the implementation of AMTs in manufacturing industries of Northern India have been critically assessed in this paper.Design/methodology/approachAn ample and reasonable number of small- and medium-scale manufacturing industries of northern India have been surveyed with an aim to find out the barriers in the implementation of AMTs. On the basis of data collected, AHP–TOPSIS method was applied in order to measure the weightage of each barrier in a simple mathematical form.FindingsHigh cost of AMTs, lack of appropriate financial resources and current processes or procedures are the major barriers that cause hindrance in the path of implementation of AMTs in SMEs.Research limitations/implicationsThis investigation was based on the survey followed by judgments of experts in industry and academia; other approaches such as PROMETHEE, WPM, VIKOR, etc., can be applied for investigation. Also, the study can be carried out in different region(s) and parts of the country.Practical implicationsThis paper can be helpful in many ways to the management or industrialists of various nations who are on the same path or will follow soon.Originality/valueSMEs need to address the findings of this research in order to overcome the barriers and successfully implement the AMTs. A model for successful implementation of AMTs by overcoming the barriers has been suggested.

The Role of Advanced Manufacturing Technologies in Production Process Performance: A Causal Model

Advanced manufacturing technologies (AMT) require considerable investments that managers often avoid, which makes it difficult to link their production operations with the benefits reported in literature review. The present paper shows a structural equation model that integrates four latent variables to measure the relationship between the levels of advanced manufacturing technologies implementation (Stand-Alone Intermediate and Integrated Systems), as well as the benefits obtained in the productive systems. The variables are related to each other using six hypotheses in order to realise how the AMT implementation level affects the benefits obtained from a quantitative and statistical point of view. The model is evaluated through the partial least square technique with data from 383 responses to a survey. Findings show that Stand-Alone Systems contribute more to obtaining Production Benefits, followed by Integrated Systems and Intermediate Systems. Finally, a sensitivity analysis based on conditional probabilities was performed to evaluate scenarios at different implementation levels in AMT to know how they facilitate the acquisition of the benefits offered.

Design, process and commercial benefits gained from AMT

Purpose The purpose of this paper is to measure the relationships between advanced manufacturing technologies (AMTs) categories (stand-alone, intermediated and integrated systems) implementation and design, process and commercial benefits obtained. Design/methodology/approach A survey is designed with benefits gained from AMT implementation as well as its categories, which is applied to the maquiladora industry. A structural equation model with data from 383 responses is used to measure the relationship between AMT categories and benefits gained using nine hypotheses that are tested statistically significant using partial least squares. Also, using conditional probabilities, a sensitivity analysis reports how low and high levels from AMT implementation influence on the obtained benefits. Findings Integrated systems are the most important AMT for maquiladoras and have the strongest impact on design, processes and commercial benefits. Research limitations/implications Data obtained support the model, but results may be different in another industrial sector and countries with different labor culture and technological level. Practical implications Managers in maquiladora industry must focus their attention on integrated manufacturing systems, because high implementation levels guarantee the biggest probability to gain benefits in design, production process and commercial. Originality/value The relationship between AMT and their benefits has not been measured in depth, and this paper contributes to understand that problem. In addition, this paper is the first to report a sensitivity analysis that enables managers to acknowledge the probability of obtaining certain benefits.