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Article
Publication date: 1 December 2023

Chen Xuemeng and Ma Guangqi

The manufacturing industry and the producer service industry have a high degree of industrial correlation, and their integration will cause changes in the complex industrial…

Abstract

Purpose

The manufacturing industry and the producer service industry have a high degree of industrial correlation, and their integration will cause changes in the complex industrial network topology, which is an important reason for the synergistic effect. This paper describes the topology of industrial systems using complex network theory; further, it discusses how to identify the criticality and importance of industrial nodes, and whether node characteristics cause synergistic effects.

Design/methodology/approach

Based on the input-output data of China in 2007, 2012 and 2017, this paper constructs the industrial complex network of 30 Chinese provinces and cities, and measures the regional network characteristics of the manufacturing industry. The fixed-effect panel regression model is adopted to test the influence of agglomeration degree and centrality on synergies, and its adjustment mechanism is explored.

Findings

The degree of network agglomeration in the manufacturing industry exerts a negative impact on the synergistic effect, while the centrality of the network exerts a significant promoting effect on the synergistic effect. The results of adjustment mechanism test show that enhancing the autonomous controllable ability of the regional industrial chain in the manufacturing industry can effectively reduce the effect of network characteristics on the synergistic effect.

Research limitations/implications

Based on input-output technology, this paper constructs a complex industrial network model, however, only basic flow data are used. Considerable in-depth and detailed research on the economic and technological connections within the industry should be conducted in the future. The selection of the evaluation index of the importance of industrial nodes also needs to be further considered. For historical reasons, it is also difficult to obtain and process data when carrying out quantitative analysis; therefore, it is necessary to make further attempts from the data source and the expression form of evaluation indicators.

Practical implications

In a practical sense this has certain reference value for the formulation of manufacturing industrial policies the optimization of regional industrial layout and the improvement of the industrial development level. It is necessary to formulate targeted and specialized industrial development strategies according to the characteristics of the manufacturing industry appropriately regulate the autonomous controllable ability of the industrial chain and avoid to limit the development of industries which is in turn limited by regional resources. Industry competition and market congestion need to be reduced industry exchanges outside the region encouraged the industrial layout optimized and the construction of a modern industrial system accelerated.

Social implications

The above research results hold certain reference importance for policy formulation related to the manufacturing industry, regional industrial layout optimization and industrial development level improvement. Targeted specialized industrial development strategies need to be formulated according to the characteristics of the manufacturing industry; the autonomous controllability of the industrial chain needs to be appropriately regulated; limitation of regional resources needs to be avoided as this restricts industrial development; and industry competition and market congestion need to be reduced. Agglomeration of production factors and optimization of resource allocation is an important part of a beneficial regional economic development strategy, and it is also an inevitable choice for industrialization to develop to a certain stage under the condition of a market economy. In alignment with the research conclusions, effective suggestions can be put forward for the current major industrial policies. In the process of promoting the development of the manufacturing industry, it is necessary for regional governments to carry out unified planning and guidance on the spatial layout of each manufacturing subsector. Regional governments need to effectively allocate inter-industry resources, better share economies of scale, constantly enhance the competitive advantages and competitiveness of development zones and new districts and promote the coordinated agglomeration and development of related industries with input industries. Industrial exchanges outside the region should be encouraged, the industrial layout should be optimized and the construction of a modern industrial system should be accelerated.

Originality/value

Complex network theory is introduced to study the industrial synergy effect. A complex industrial network of China's 30 regions is built and key network nodes are measured. Based on the dimensionality of the “industrial node – industrial chain – industrial complex network”, the research path of industrial complex networks is improved.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Book part
Publication date: 3 June 2021

Prasanta Kumar Roy, Mihir Kumar Pal and Purnendu Sekhar Das

The chapter examines the sources of total factor productivity growth (TFPG) of the 2-digit manufacturing industries as well as total manufacturing industry of Gujarat during the…

Abstract

The chapter examines the sources of total factor productivity growth (TFPG) of the 2-digit manufacturing industries as well as total manufacturing industry of Gujarat during the period from 1981–82 to 2010–11, using a stochastic frontier approach. The empirical finding clearly states that although factor accumulations as well as resource allocations in most of the 2-digit manufacturing industries of the state have been improved during the postreform period, technological progress (TP) and technical efficiency change (TEC) of the same have deteriorated in most industries of the state during that period. As a result TFPG in the major manufacturing industries as well as total manufacturing industry of the state have declined because the combined effect of their improvement in scale effect (SC) and allocation efficiency effect (AEC) could not offset the declining effect of both the TP and TEC of the same during that period. In this context, the government should take some policy initiatives to improve productive efficiency of the organized manufacturing industries in Gujarat. Once efficiency increases, it enhances competitiveness, thereby increasing productivity growth and its different sources of organized manufacturing industries of the state.

Article
Publication date: 3 May 2016

Siavash Javadi, Jessica Bruch and Monica Bellgran

The purpose of this paper is to understand how the characteristics of low-volume manufacturing industries influence the product introduction process and factors which can…

1246

Abstract

Purpose

The purpose of this paper is to understand how the characteristics of low-volume manufacturing industries influence the product introduction process and factors which can facilitate that process in low-volume manufacturing industries.

Design/methodology/approach

A literature review and a multiple-case study were used to achieve the purpose of the paper. The multiple-case study was based on two product development projects in a low-volume manufacturing company.

Findings

The main identified characteristics of the product introduction process in low-volume manufacturing industries were a low number of prototypes, absence of conventional production ramp-up, reduced complexity of the process, failure to consider the manufacturability of the products due to an extensive focus on their functionality and increased complexity of resource allocation. It was determined that prior production of similar products could serve as a facilitator of the manufacturing process.

Research limitations/implications

The main limitation of this study is that the identified characteristics and facilitating factors are confined to the internal variables of the studied company. A study of the role of external variables during the product introduction process such as suppliers and customers could be the subject of future studies.

Practical implications

This research will provide practitioners in low-volume manufacturing industries with general insight about the characteristics of the product introduction process and the aspects that should be considered during the process.

Originality/value

Whereas there is a significant body of work about product introduction process in high-volume manufacturing industries, the research on characteristics of the product introduction process in low-volume manufacturing industries is limited.

Details

Journal of Manufacturing Technology Management, vol. 27 no. 4
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 26 April 2019

Ashish Dwivedi, Dindayal Agrawal and Jitender Madaan

Sustainability is an integrating concept and demands strategic attention in developing countries like India. Due to strict environmental regulations and ongoing government…

Abstract

Purpose

Sustainability is an integrating concept and demands strategic attention in developing countries like India. Due to strict environmental regulations and ongoing government sustainable policies such as “Namami Gange,” leather industries are extensively facing challenges to conform themselves toward these sustainable policies. The major challenge faced by leather industries is the exponentially increasing cost of adaptation to sustainable product and process. Under these operational constraints, survival of Indian leather industries has become a major challenge. In this context, this paper aims to identify and evaluate sustainable manufacturing policies. The key performance indicators (KPIs) based on triple bottom line of sustainability can assist leather industries that are about to initiate adopting sustainable practices.

Design/methodology/approach

This paper demonstrates the role of KPIs for evaluating sustainable manufacturing policies for leather industries in India. Initially, an in-depth literature review analysis has been carried out to identify indicators for evaluation of sustainable manufacturing policies. In this work, an integrated methodology has been developed to refine the priority map of the aforementioned KPIs based on consensus building among experts using Kappa analysis. Total interpretive structural modeling (TISM) has been used to demonstrate relationships which explain the significance of the KPIs. Further, Matriced Impact Croises Multiplication Applique analysis has been carried out to explore the relationships amongst KPIs.

Findings

Based on above analysis, identified interactive relationships among the KPIs will assist managers and decision-makers to incorporate effective sustainable policies in leather industries.

Practical implications

It is expected that these identified interactive interrelationships between KPIs will certainly facilitate the leather industry to achieve higher sustainable performance and competitiveness.

Originality/value

This study carries out an in-depth literature review analysis of sustainable manufacturing policies in leather industry. The author proposes an integrated methodology using kappa analysis, consensus building and TISM for evaluation of sustainable policies based on the literature review analysis and expert opinion.

Details

Journal of Science and Technology Policy Management, vol. 10 no. 2
Type: Research Article
ISSN: 2053-4620

Keywords

Article
Publication date: 15 August 2018

Ravi Kumar and Surya Prakash Singh

In today’s competitive market, product demand and its mix frequently vary due to various uncertainties, which thus imparts the overall manufacturing cost. Furthermore…

Abstract

Purpose

In today’s competitive market, product demand and its mix frequently vary due to various uncertainties, which thus imparts the overall manufacturing cost. Furthermore, uncertainties also impart the layout design in manufacturing industries in the long run. Therefore, the layout design needs to capture the possibility of uncertainties, and these uncertainties must be captured while designing the layout of a facility. Hence, an efficient facility layout design minimizes the manufacturing cost and lead time. The purpose of this paper is to propose a cellular layout design for a tower manufacturing industry.

Design/methodology/approach

The paper develops an embedded simulated annealing-based meta-heuristic to solve proposed cellular layout under different scenarios considering single and multi-time periods for tower manufacturing industry. A comparative study is also performed to analyze comparison among static cellular layout, a dynamic cellular layout or a robust stochastic cellular layout for the tower manufacturing industry.

Findings

The current layout of the industry is a process layout. Here, the layout for a tower manufacturing industry is proposed under SCFLP, DCFLP and RSCFLP. The proposed models and solution methodology is tested using six scenarios with different combination of time periods. Lastly, OFV value obtained for all the scenarios is compared, and it is found that RSCFLP outruns other SCFLP and DCFLP for a tower manufacturing industry. Based on the above study, it is also concluded that RSCFLP is an efficient and effective layout in tower manufacturing industry.

Originality/value

The paper proposes a cellular layout design for a tower manufacturing industry. The cellular layout design is found to be preferred over the traditional layout as it reduces material handling cost, manufacturing lead time and hazards. Moreover, it enhances productivity and quality.

Details

Management of Environmental Quality: An International Journal, vol. 30 no. 6
Type: Research Article
ISSN: 1477-7835

Keywords

Article
Publication date: 5 August 2014

Katri Valkokari, Pasi Valkokari, Katariina Palomäki, Teuvo Uusitalo, Markku Reunanen, Marco Macchi, Padmakshi Rana and Jayantha Prasanna Liyanage

The purpose of this study is to explore the required changes, outline business potential and envisage the key steps that a networked manufacturing industry needs to take to reach…

1389

Abstract

Purpose

The purpose of this study is to explore the required changes, outline business potential and envisage the key steps that a networked manufacturing industry needs to take to reach more sustainably performing manufacturing in the future.

Design/methodology/approach

The paper utilises a visionary road-mapping approach to study the required changes and the business potential related to sustainable development in the manufacturing industry.

Findings

The results were summarised in three sub-roadmaps empowerment of stakeholders, increase efficiency and creation of new performance criteria. On the basis of the summary of the sub-roadmaps, the framework was configured to describe the opportunities and challenges of sustainable business development in the European manufacturing industry.

Research limitations/implications

A clear implication of this study is that a more system-oriented approach, new models for collaboration between network actors and transparently shared network-level KPIs are required before further steps towards a sustainable manufacturing industry can be taken. In addition, sustainability-driven business models are required to specify these changes concretely.

Practical implications

The presented sub-roadmaps and framework summarising them could provide new insights to business practitioners exploring business potential of sustainability.

Social implications

Understanding about the road-mapping process as tool that enables interaction and envisioning between different stakeholders could also have social implications supporting shared industry-level learning processes.

Originality/value

Studies of sustainability within the manufacturing industry have focused mainly on green issues in supply-chain management or corporation-level governance models and reporting practices. The paper presents a broader view of sustainable development and recognises networked business as part of the solution.

Article
Publication date: 12 January 2018

Anuj Singla, Inderpreet Singh Ahuja and APS Sethi

The purpose of this paper is to evaluate the significance of various technology push (TP) and demand pull (DP) practices substantial for achieving sustainable development in…

1635

Abstract

Purpose

The purpose of this paper is to evaluate the significance of various technology push (TP) and demand pull (DP) practices substantial for achieving sustainable development in Indian manufacturing industries. The research crucially examines the effectiveness of TP-DP practices in manufacturing companies.

Design/methodology/approach

An extensive survey of 92 companies in India has been executed to identify improvements made by TP-DP practices, to achieve sustainable development in manufacturing industries. The companies in the survey include medium- and large-scale manufacturing enterprises. The correlations between various TP-DP practices and sustainable development parameters are evaluated and validated using various numerical methods and tools.

Findings

The focus of the paper is on the distinguishable contributions made by TP-DP practices like innovative capability, research and development, corporate strategy, export orientation, stringent implementation of government regulations, transforming capabilities, unionized labor and customer attributes toward achieving sustainable development in manufacturing industries. The inter-relationships between different TP-DP practices with sustainable development parameters are evaluated to effectively manage the goals and objectives of industries related to sustainability and growth. However, it is also acknowledged that manufacturing firms need to work more actively on managing certain practices of TP-DP.

Research limitations/implications

In the present investigation, contributions made by TP-DP practices are evaluated to accomplish sustainable development in Indian manufacturing industries. Hence, the results obtained may need some modifications before applying to other countries. Moreover, issue-wise independent modeling can also be performed to assess the importance of TP-DP practices under specific orientations.

Practical implications

The research gives priority to enhancement in the planning among various TP-DP practices and sustainable development indicators in the industries, to impart TP-DP as important practices to meet the challenges of competent markets worldwide.

Social implications

It has been exhibited from the observations that adequate TP-DP practices can efficiently contribute toward recognition of sustainable development to compete in the highly progressive global market. The results of various inter-relationships among TP-DP practices and sustainable development parameters represent the effectiveness of TP-DP practices for accomplishment of social as well as organizational objectives.

Originality/value

The investigation shows that TP-DP practices are significant initiatives employed by the manufacturing industries for performance improvement and sustainable development. The paper peeks into the research to find out TP-DP issues that need to be assessed efficiently by companies to avail the benefits of sustainable development to meet the challenges posed by international markets.

Details

Journal of Manufacturing Technology Management, vol. 29 no. 2
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 1 April 1999

Mark Phillips

Considers how far the aerospace industry has travelled on the long journey towards lean and agile manufacturing. Starts by comparing the industry with a well‐established model of…

5165

Abstract

Considers how far the aerospace industry has travelled on the long journey towards lean and agile manufacturing. Starts by comparing the industry with a well‐established model of a lean and in some cases agile manufacturing system already well established in the automotive manufacturing industry. Makes some attempts to overcome the difference in output volume of the two industries. Asks whether lean manufacturing can be applied to the aerospace industry. Draws on observations made both by academics and during visits to aerospace supply companies. Evidence is put forward as to deployment of lean practices in the industry and why lean manufacturing must be deployed throughout the industry. Focuses on the tentative steps towards the first phases of agile manufacturing, through Lean production, in an industry that produces a high technology leading‐edge product using outdated manufacturing systems.

Details

International Journal of Agile Management Systems, vol. 1 no. 1
Type: Research Article
ISSN: 1465-4652

Keywords

Article
Publication date: 13 November 2023

Meifang Li and Yujing Liu

With the deep development of the new technological revolution and industrial transformation, the development, application, expansion and integration of digital technology provide…

Abstract

Purpose

With the deep development of the new technological revolution and industrial transformation, the development, application, expansion and integration of digital technology provide opportunities for transforming the manufacturing industry from traditional manufacturing to intelligent manufacturing. However, little research currently focuses on analyzing the influencing factors of intelligent development in this field. There is a lack of research from the perspective of the digital innovation ecosystem to explore the intrinsic mechanism that drives intelligent development. Therefore, this article starts with high-end equipment manufacturing enterprises as the research subject to explore how their digital innovation ecosystem promotes the effectiveness of enterprise intelligent development, providing theoretical support and policy guidance for enterprises to achieve intelligent development at the current stage.

Design/methodology/approach

This article constructs a logical framework for the digital innovation ecosystem using a “three-layer core-periphery” structure, collects data using crawling for subsequent indicator measurement and assessment and uses the fuzzy set Qualitative Comparative Analysis method (fsQCA) to explore how the various components of the digital innovation ecosystem in high-end equipment manufacturing enterprises work together to promote the development of enterprise intelligently.

Findings

This article finds that the various components of the digital innovation ecosystem of high-end equipment manufacturing enterprises, through mutual coordination, can help improve the level of enterprise intelligence. Empirical analysis shows four specific configuration implementation paths for the digital innovation ecosystem of high-end equipment manufacturing enterprises to promote intelligent development. The core conditions and their combinations that affect the intelligent development of enterprises differ in each configuration path.

Originality/value

Firstly, this article discusses the practical problems of intelligent transformation and development in the manufacturing industry and focuses on the intelligent development effectiveness of various components of the digital innovation ecosystem of high-end equipment manufacturing enterprises in the context of digitalization. Secondly, this article uses crawling, text sentiment analysis and other methods to creatively collect relevant data to overcome the research dilemma of being limited to theoretical analysis due to the difficulty in obtaining data in this field. At the same time, based on the characteristics of high-end equipment manufacturing enterprises, the “three-layer core-periphery” digital innovation ecosystem framework constructed in this article helps to gain a deep understanding of the development characteristics of the industry's enterprises, provides specific indicator analysis for their intelligent development, opening the “black box” of intelligent development in the industry's enterprises and bridging the gap between theory and practice. Finally, this study uses the fsQCA research method of configuration analysis to explore the complexity of the antecedents and investigate the combined effects of multiple factors on intelligent development, providing new perspectives and rich research results for relevant literature on the intelligent development of high-end equipment manufacturing enterprises.

Details

Business Process Management Journal, vol. 30 no. 1
Type: Research Article
ISSN: 1463-7154

Keywords

Book part
Publication date: 13 December 2023

Somayya Madakam, Rajeev Kumar Revulagadda, Vinaytosh Mishra and Kaustav Kundu

One of the most hyped concepts in the manufacturing industry is ‘Industry 4.0’. The ‘Industry 4.0’ concept is grabbing the attention of every manufacturing industry across the…

Abstract

One of the most hyped concepts in the manufacturing industry is ‘Industry 4.0’. The ‘Industry 4.0’ concept is grabbing the attention of every manufacturing industry across the globe because of its immense applications. This phenomenon is an advanced version of Industry 3.0, combining manufacturing processes and the latest Internet of Things (IoT) technologies. The main advantage of this paradigm shift is efficiency and efficacy in the manufacturing process with the help of advanced automated technologies. The concept of ‘Industry 4.0’ is contemporary, so it falls under exploratory study. Therefore, the research methodology is thematic narration grounded on secondary data (online) analysis. In this light, this chapter aims to explain ‘Industry 4.0’ in terms of concepts, theories and models based on the Web of Science (WoS) database. The data include research manuscripts, book chapters, blogs, white papers, news items and proceedings. The study details the latest technologies behind the ‘Industry 4.0’ phenomenon, different business intelligence technologies and their practical implications in some manufacturing industries. This chapter mainly elaborates on Industry 4.0 frameworks designed by (1) PwC (2) IBM (3) Frost & Sullivan.

Details

Fostering Sustainable Development in the Age of Technologies
Type: Book
ISBN: 978-1-83753-060-1

Keywords

1 – 10 of over 111000