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Article
Publication date: 14 May 2018

Nilesh Pancholi and Mangal Bhatt

The purpose of this paper is to investigate the extent at which the reliability of an aluminium wire rolling mill can be improved by ameliorating current control and…

Abstract

Purpose

The purpose of this paper is to investigate the extent at which the reliability of an aluminium wire rolling mill can be improved by ameliorating current control and maintenance practices.

Design/methodology/approach

The paper deals with the discrimination of the most critical components by substantial shop-floor failure data. The research work narrates a method for evaluating maintainability criticality index for each failure cause of identified critical components through two different MCDM approaches: one based on grey-complex proportional risk assessment (COPRAS-G) and the other based on preference section index (PSI).

Findings

The primary findings of this research work are to prioritize the maintenance activities by comparing results obtained through different failure analysis models. It is proposing improvements in the maintenance plan of critical components like bearings, gears and shafts of an aluminium wire rolling mill which are commonly representing the most critical components in a large range of industrial processes.

Research limitations/implications

The limitation of the proposed study is that the failure models may not represent failures due to the first instant every time as adequate of design as such components are not checked for a high failure rate.

Practical implications

The proposed study is an interdisciplinary work which will help to understand about the working lives of components and associated failures. It will lead to reengineer new tools efficiently and to gain the maintenance excellence.

Originality/value

Originality mainly consists in the contemporary application of two non-identical MCDM-based methods (COPRAS-G and PSI). It will help to elucidate maintenance issues of major process industries and recommended deliverable keys.

Details

Journal of Quality in Maintenance Engineering, vol. 24 no. 2
Type: Research Article
ISSN: 1355-2511

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Article
Publication date: 9 May 2016

Jeya Girubha, Sekar Vinodh and Vimal KEK

The purpose of this paper is to report a study on the application of interpretative structural modelling (ISM) integrated with multi-criteria decision-making (MCDM…

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Abstract

Purpose

The purpose of this paper is to report a study on the application of interpretative structural modelling (ISM) integrated with multi-criteria decision-making (MCDM) techniques for enabling the sustainability supplier selection.

Design/methodology/approach

In this paper, two approaches of hybrid MCDM methods are followed and the selection of sustainable supplier was based on the comparative results obtained from both the methods. The first hybrid approach is ISM – analytic network process (ANP) – ELimination and Et Choice Translating REality (ELECTRE II) and the second hybrid approach is ISM – ANP – Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR). ISM was used to identify the inter relationship between the criteria. Inter-relationship of criteria obtained from ISM will serve as an input for ANP. The weights obtained from ANP will be used in ELECTRE II and VIKOR. ELECTRE II is an outranking method, whereas VIKOR is a compromise ranking method; comparison of both the methods was carried out in this study.

Findings

In this study, two modules ISM–ANP – ELECTRE and ISM–ANP – VIKOR were compared for the problem of sustainable supplier selection. ELECTRE results with a single solution showed that Supplier 2 can be selected as the best supplier; VIKOR result shows that Supplier 1 and Supplier 2 can be selected as the best suppliers.

Originality/value

The selection of sustainable supplier considering the interrelationship of criteria using ISM and ranking the alternatives using compromise and outranking techniques was found to be original and novel contribution of the author.

Content available
Book part
Publication date: 4 May 2018

Heriyanti, Lenny Marlinda, Rayandra Asyhar, Sutrisno and Marfizal

Purpose – This work aims to study the treatment of adsorbant on the increasing liquid hydrocarbon quality produced by pyrolysis low density polyethylene (LDPE) plastic…

Abstract

Purpose – This work aims to study the treatment of adsorbant on the increasing liquid hydrocarbon quality produced by pyrolysis low density polyethylene (LDPE) plastic waste at low temperature. The hydrocarbon distribution, physicochemical properties and emission test were also studied due to its application in internal combustion engine. This research uses pure Calcium carbonate (CaCO3) and pure activated carbon as adsorbant, LDPE type clear plastic samples with control variable that is solar gas station.

Design/Methodology/Approach – LDPE plastic waste of 10 kg were vaporized in the thermal cracking batch reactor using LPG 12 kg as fuel at range temperature from 100 to 300°C and condensed into liquid hydrocarbon. Furthermore, this product was treated with the mixed CaCO3 and activated carbon as adsorbants to decrease contaminant material.

Findings – GC-MS identified the presence of carbon chain in the range of C6–C44 with 24.24% of hydrocarbon compounds in the liquid. They are similar to diesel (C6–C14). The 30% of liquid yields were found at operating temperature of 300°C. The calorific value of liquid was 46.021 MJ/Kg. This value was 5.07% higher than diesel as control.

Originality/Value – Hydrocarbon compounds in liquid produced by thermal cracking at a low temperature was similar to liquid from a catalytic process.

Details

Proceedings of MICoMS 2017
Type: Book
ISBN:

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Article
Publication date: 6 August 2020

Peter Schott, Matthias Lederer, Isabella Eigner and Freimut Bodendorf

Increasingly, dynamic market environments lead to growing complexity in manufacturing and pose a severe threat for the competitiveness of manufacturing companies…

Abstract

Purpose

Increasingly, dynamic market environments lead to growing complexity in manufacturing and pose a severe threat for the competitiveness of manufacturing companies. Systematic guidance to manage this complexity, especially in the context of Industry 4.0 and the therewith rising trends such as digitalization and data-driven production optimization, is lacking. To address this deficit a case-based reasoning (CBR) system for providing knowledge about managing complexity in Industry 4.0 is presented.

Design/methodology/approach

First, the explicit knowledge representation for managing complexity in IT-based manufacturing is introduced. Second, the CBR process step to retrieve knowledge from an artificially composed case base with in total 70 cases of data-based complexity management in the context of Industry 4.0 is set out. Third, knowledge transfer alongside several maturity levels of information technology capabilities of manufacturing systems for reuse in new problem scenarios is introduced.

Findings

The paper comprises the conceptual approach for designing a CBR system to support data-based complexity management in manufacturing systems. Furthermore, the appropriateness of the CBR system to provide applicable knowledge for reducing and managing complexity in corporate practice is shown.

Research limitations/implications

The presented research results are evaluated in the course of an embedded single case study and may therefore lack generalizability. Future research to test and enhance the appropriateness of the developed CBR system will strengthen the research contribution.

Originality/value

The paper provides a novel approach to systematically support knowledge transfer for data-based complexity management by transferring the well-known and established methodology of CBR to the rising application domain of manufacturing systems in the context of Industry 4.0.

Details

Journal of Manufacturing Technology Management, vol. 31 no. 5
Type: Research Article
ISSN: 1741-038X

Keywords

Content available
Article
Publication date: 6 October 2020

Vanessa S.M. Magalhães, Luís Miguel D.F. Ferreira, Aldara da Silva César, Renato Manzini Bonfim and Cristóvão Silva

The livestock sector contributes significantly to the Brazilian economy, but also creates many environmental and social issues. To mitigate these problems and help…

Abstract

Purpose

The livestock sector contributes significantly to the Brazilian economy, but also creates many environmental and social issues. To mitigate these problems and help counteract the effects of the growing production demand, it is essential to address the prevention of food loss and waste (FLW). Therefore, the aim of the present study is to identify the causes of FLW, model their interrelationships and determine their root causes for the Brazilian beef supply chain (SC).

Design/methodology/approach

16 causes are analysed using an integrated interpretive structural modelling (ISM) and matrix impact of cross-multiplication applied to classification (MICMAC) methodology. ISM identified interrelationships among the causes and MICMAC determined the root causes of FLW.

Findings

The ISM highlights the “Lack of transportation infrastructures”, “Inadequate handling”, “Poor operational performance”, “Variety of products available in supermarkets” and “Unhealthy animals and outbreaks of disease” as the most influential causes and the MICMAC classifies them as the root causes of FLW in the Brazilian beef SC.

Practical implications

The results provide fundamental insights for researchers, practitioners and policymakers, by exploring which causes are more influential and which are the root causes, thereby assisting the SC members in the definition of suitable strategies to mitigate FLW.

Originality/value

This is the first empirical analysis of the interdependencies between the causes of FLW in the beef SC.

Details

The International Journal of Logistics Management, vol. 32 no. 1
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 12 March 2018

Liang Wang, Li Ma, Kuo-Jui Wu, Anthony S.F. Chiu and Sarayut Nathaphan

The purpose of this paper is to adopt fuzzy interpretive structural modeling (ISM) to develop a precise evaluation framework and provide a theoretical basis for enhancing…

Abstract

Purpose

The purpose of this paper is to adopt fuzzy interpretive structural modeling (ISM) to develop a precise evaluation framework and provide a theoretical basis for enhancing the understanding of responsible consumption and production (RCP) in academic and industrial fields.

Design/methodology/approach

An integration of fuzzy set theory and ISM is proposed to maintain a higher level of consistency and reduce the uncertainty inherent in expert responses.

Findings

RCP can be categorized into seven levels, which represent the driving power from higher to lower. The top aspect is management style; the remaining aspects are stakeholder management, regulation compliance, efficiency improvement, sustainable awareness, sustainable production and social responsibility.

Research limitations/implications

This study attempts to integrate the triple bottom line (TBL) concept and corporate sustainability to develop a significant framework for evaluating RCP. Although the proposed aspects and criteria can be used to evaluate the Chinese construction industry, these may be insufficient for other industries. In addition, further discussion regarding important aspects and criteria is required to complete the theoretical basis.

Practical implications

The results indicate that the top two criteria are establishing transparent communication channels and promoting managerial attitudes and behavior, which are followed by technology capabilities, organizational culture and stakeholder engagement. These five criteria play important roles when implementing RCP practices among Chinese construction firms.

Originality/value

This study is the first to discuss RCP via an integration of the TBL concept and corporate sustainability. The framework developed herein provides a precise guideline for Chinese construction firms to improve their performance, and it also promotes the efficient use of resources via sustainable practices.

Details

Industrial Management & Data Systems, vol. 118 no. 2
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 1 March 1971

D.F. HERSEY, W.R. FOSTER, E.W. STALDER and W.T. CARLSON

Comparative performance profiles were determined, by two independent scientific information centres, for on‐line retrieval by means of (a) tree text words and (b) subject…

Abstract

Comparative performance profiles were determined, by two independent scientific information centres, for on‐line retrieval by means of (a) tree text words and (b) subject indexing codes, from a data base of 4,600 descriptions of on‐going research projects in four broad subject areas. Altogether, thirty‐nine questions that users had previously asked of the Science Information Exchange (SIE) of the Smithsonian Institution, and that were in the four subject areas, were employed by SIE staffscientists, and twelve of these were independently used by staff members of the Biological Sciences Communication Project (BSCP) of the George Washington University. Results for the two studies showed average recall values 30–40% higher, and relevance values 15–20% higher, for subject index code use as compared with text word use. Advantages and disadvantages of both approaches are discussed.

Details

Journal of Documentation, vol. 27 no. 3
Type: Research Article
ISSN: 0022-0418

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Article
Publication date: 5 September 2016

Timothy Cawsey and Jennifer Rowley

The purpose of this paper is to provide a unique overview of business-to-business (B2B) companies engagement with and strategic approach to use of social media in brand…

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15560

Abstract

Purpose

The purpose of this paper is to provide a unique overview of business-to-business (B2B) companies engagement with and strategic approach to use of social media in brand building. This research complements the much more extensive knowledge base regarding social media use in business-to-consumer (B2C) contexts.

Design/methodology/approach

Since social media marketing is a relatively new activity for B2B companies an interpretivist stance that is inductive in nature is adopted. Semi-structured interviews were conducted with marketing professionals involved in managing social media programmes in France, Ireland, the UK and the USA.

Findings

The study found that the level of enagement with social media marketing varied, as summarised in the B2B Social Media Engagement Taxonomy. Enhancing brand image, extending brand awareness and facilitating customer engagement were the most common social media objectives. There was no evidence to suggest that companies saw social media as heralding a paradigm shift in brand management and control of the kind discussed and experienced in B2C social media contexts. The B2B social media strategy framework is proposed; this identifies the following six components of a social media strategy: monitoring and listening, empowering and enagaging employees, creating compelling content, stimulating electronic word of mouth, evaluating and selecting channels, and enhacning brand presence through integrating social media.

Originality/value

The research contributes to the knowledge base associated with social media marketing by offering insights into and a framework summarising B2B social media strategy.

Details

Marketing Intelligence & Planning, vol. 34 no. 6
Type: Research Article
ISSN: 0263-4503

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Article
Publication date: 24 September 2010

Mark E. Heaton, Massimo Rogante, Adél Len and David Denieffe

The purpose of this paper is to determine the nano‐sized characteristics of SU‐8 polymer micro‐electromechanical systems airflow metrology turbines samples. These…

Abstract

Purpose

The purpose of this paper is to determine the nano‐sized characteristics of SU‐8 polymer micro‐electromechanical systems airflow metrology turbines samples. These microturbines were made to be the first using axial airflow for low air pressure response. This polymer may be affected during curing by UV and heat baking, as well as confined heat from laser ablation. Defects in the resin matrix may influence the material quality and hence the final turbine performance.

Design/methodology/approach

Small angle neutron scattering investigations were performed using the instrumentation of the Budapest Research Reactor.

Findings

The average sizes of the voids/cracks in the resin matrix of the turbines were determined and allowed the viability of making smaller even thinner rotor blades for higher spin and electrical output capability to be considered.

Originality/value

The obtained results have advanced the industrial applicability of the adopted technique in the considered sector of polymer analysis.

Details

Multidiscipline Modeling in Materials and Structures, vol. 6 no. 3
Type: Research Article
ISSN: 1573-6105

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Article
Publication date: 7 October 2021

Sourabh Kumar and Mukesh Kumar Barua

This research identifies the supply chain performance indices and designs an evaluation framework to assess and compare the Indian petroleum supply chain performance. We…

Abstract

Purpose

This research identifies the supply chain performance indices and designs an evaluation framework to assess and compare the Indian petroleum supply chain performance. We presented a case study of three Indian petroleum companies. For this purpose, we identified fifteen performance criteria extracted from previous literature and expert inputs and classified them into four groups.

Design/methodology/approach

A fuzzy technique for order preference by similarity to the ideal solution (TOPSIS) method is employed for evaluating the performance of the Indian petroleum supply chain.

Findings

The design and evaluation framework suggests that the top three performance measurement criteria, the purity of the products, compliance with environmental laws, and new technology adoption. The result findings also indicate that company C contributes to a maximum satisfaction level of 77%. Simultaneously, companies A and B hold satisfaction levels of 72% and 67%.

Practical implications

The managers should ensure that environmental standards, new technology adoption, and quality are significant concerns in the petroleum supply chain. The managers should follow national and international policies to preserve the environment and ensure safety in operational activities.

Originality/value

This paper makes two contributions in the domain of performance measurement of the petroleum supply chain. First, it identifies the prominent supply chain performance indices. Second, it proposes a model to assess and compare the performance of Indian petroleum companies.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

Keywords

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