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Article
Publication date: 23 July 2020

Marcello Braglia, Davide Castellano, Marco Frosolini, Mosè Gallo and Leonardo Marrazzini

The paper proposes a new workforce effectiveness metric that is a sophisticated evolution of a pre-existing overall labour effectiveness (OLE) indicator. The KPI, named…

Abstract

Purpose

The paper proposes a new workforce effectiveness metric that is a sophisticated evolution of a pre-existing overall labour effectiveness (OLE) indicator. The KPI, named revised OLE (ROLE), provides a structured methodology to measure in a holistic way the losses relating to labour, maintaining some formal similitude to the overall equipment effectiveness (OEE)

Design/methodology/approach

A new structure of losses is proposed to overcome the drawbacks and the difficulties that usually affect the data collection stage, referring to directly measurable quantities or, when this is not the case, suggesting a viable method to quantify the loss. Besides, this approach facilitates the comprehension of labour-related issues, suggesting potential countermeasures. The novel ROLE indicator has been defined, based on this new structure, to evaluate the labour effectiveness in batch process industries. A real case study is provided, which explains the methodology and illustrates the capability of the corresponding KPI.

Findings

The present work analyses the labour performance indexes available in literature, with the aim of evidencing those aspects that can be properly observed and quantified and, at the same time, categorizing them to identify their possible drawbacks. A new structure of losses is derived, with respect to four different categories, which may help to measure the losses themselves more effectively

Originality/value

The paper investigates some important KPIs dealing with labour performance and individuates some significant drawbacks. Then it suggests a new, inclusive structure of losses and a modified KPI that not only measures effectiveness but also allows to identify viable countermeasures.

Details

International Journal of Productivity and Performance Management, vol. 70 no. 6
Type: Research Article
ISSN: 1741-0401

Keywords

Open Access
Article
Publication date: 14 July 2020

Marcello Braglia, Leonardo Marrazzini, Luca Padellini and Rinaldo Rinaldi

The purpose of this paper is to present a structured framework whose objectives are to identify, analyse and eliminate fashion-luxury supply chains inefficiencies.

3450

Abstract

Purpose

The purpose of this paper is to present a structured framework whose objectives are to identify, analyse and eliminate fashion-luxury supply chains inefficiencies.

Design/methodology/approach

A Lean Manufacturing tool, the 5-Whys Analysis, has been used to find out the root causes associated with the problem identified from a data analysis of production orders of a fashion-luxury company. A case study, which explains the methodology and illustrates the capability of the tool, is provided.

Findings

This tool can be considered a suitable instrument to identify the causal factors of inefficiencies within luxury supply chains, suggesting potential countermeasures able to eliminate the problems previously highlighted. In addition, enabling technologies that deal with Industry 4.0 are associated with the root causes to enable further improvement of the supply chain.

Practical implications

The effectiveness and practicality of the tool are illustrated using an industrial case study concerning an international Italian signature in the world of fashion-luxury footwear sector.

Originality/value

This framework provides practitioners with an operative tool useful to highlight where the major inefficiencies of fashion-luxury supply chains take place and, at the same time, individuates both the root causes of inefficiencies and the corresponding corrective actions, even considering Industry 4.0 enabling technologies.

Details

Journal of Fashion Marketing and Management: An International Journal, vol. 25 no. 1
Type: Research Article
ISSN: 1361-2026

Keywords

Article
Publication date: 7 January 2019

Marcello Braglia, Roberto Gabbrielli and Leonardo Marrazzini

The purpose of this paper is to propose a new Lean metric named Overall Task Effectiveness (OTE), which can help analyst to define target task times and to identify the…

Abstract

Purpose

The purpose of this paper is to propose a new Lean metric named Overall Task Effectiveness (OTE), which can help analyst to define target task times and to identify the hidden losses that account for most of the recorded time of manual assembly activities.

Design/methodology/approach

An alternative classification structure of the losses is developed to divide them in two classes. In the first one the losses that are external to the project order are included, and in the other one those due to inefficiencies directly ascribable to the project order are considered. Starting from this classification structure of the losses, a novel Lean metric, inspired from the well-known Overall Equipment Effectiveness (OEE), is developed to evaluate the effectiveness of a manual assembly task. A case study, which briefly explains the methodology and illustrates the capability of the corresponding metric, is provided.

Findings

This tool can be considered a suitable method to achieve simultaneously a dual purpose to establish time standards and to identify the hidden losses that account for most of the recorded time of manual assembly activities, estimating the impacts of potential corrective actions in terms of both efficiency and effectiveness.

Practical implications

OTE provides practitioners with an operative tool useful to highlight the points where the major inefficiencies take place in industries producing large complex items via manual assembly lines. Its practical application is demonstrated using a case study concerning a manufacturer of train wagons.

Originality/value

One distinctive, and contemporarily appealing, feature of OTE with respect to other analogous KPIs is that it provides a breakdown structure for process losses that simplifies the task of evaluating the current performances and, at the same time, individuates both the source of losses and the corresponding corrective actions.

Details

International Journal of Productivity and Performance Management, vol. 68 no. 2
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 7 February 2019

Marcello Braglia, Davide Castellano and Mosè Gallo

The purpose of this paper is to present a new operational approach to equipment maintenance designed to exploit the complementary nature of total productive maintenance…

1075

Abstract

Purpose

The purpose of this paper is to present a new operational approach to equipment maintenance designed to exploit the complementary nature of total productive maintenance (TPM) and reliability-centered maintenance (RCM).

Design/methodology/approach

This paper focuses on the operational aspect of the maintenance practice, proposing an equipment maintenance methodology that can be suitably adopted to define a new maintenance plan or check and improve an existing one. It integrates principles and methods of TPM and RCM and uses different tools to support decision-makers and operators. It proposes several worksheets which facilitate planning and implementing maintenance activities, that range from autonomous maintenance tasks to maintainability improvement actions.

Findings

This paper exploits the complementary nature of TPM and RCM to design or improve maintenance plans for a generic system. The tools and worksheets presented can be helpful to practitioners and operators.

Originality/value

While the integration of TPM and RCM is evidently a central issue in the maintenance management context, it has received limited attention in literature. To the best of the authors’ knowledge, it lacks a structured practical equipment maintenance methodology that exploits the complementary nature of TPM and RCM. Therefore, the approach presented in this paper would fill the current gap.

Details

Journal of Quality in Maintenance Engineering, vol. 25 no. 4
Type: Research Article
ISSN: 1355-2511

Keywords

Article
Publication date: 24 April 2007

M. Braglia, G. Fantoni and M. Frosolini

The purpose of this paper is to provide a structured methodology for performing build‐in reliability (BIR) investigation during a new product development cycle.

2663

Abstract

Purpose

The purpose of this paper is to provide a structured methodology for performing build‐in reliability (BIR) investigation during a new product development cycle.

Design/methodology/approach

The methodology in this paper represents an extension of the Quality Functional Deployment/House of Quality (QFD/HoQ) concepts to reliability studies. It is able to translate the reliability requisites of customers into functional requirements for the product in a structured manner based on a Failure Mode And Effect Analysis (FMEA). Besides, it then allows it to build a completely new operative tool, named House of Reliability (HoR), that enhances standard analyses, introducing the most significant correlations among failure modes. Using the results from HoR, a cost‐worth analysis can be easily performed, making it possible to analyse and to evaluate the economical consequences of a failure.

Findings

The paper finds that the application of the proposed approach allows users to identify and control the design requisites affecting reliability. The methodology enhances the reliability analysis introducing and managing the correlations among failure modes, splitting the severity into a detailed series of basic severity aspects, performing also cost/worth assessments.

Practical implications

It is shown that the methodology enables users to finely analyse failure modes by splitting severity according to the product typology and the importance of each Severity criterion according to laws or international standards. Moreover the methodology is able to consider the “domino effects” and so to estimate the impact of the correlation between the causes of failure. Finally a cost/worth analysis evaluates the economical consequences of a failure with respect to the incurred costs to improve the final reliability level of the product.

Originality/value

The paper proposes a completely new approach, robust, structured and useful in practice, for reliability analysis. The methodology, within an integrated approach, overcomes some of the largely known limits of standard FMECA: it takes into account multiple criteria, differently weighted, it analyses the product considering not only the direct consequence of a failure, but also the reaction chain originated by a starting failure.

Details

International Journal of Quality & Reliability Management, vol. 24 no. 4
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 10 December 2019

Narges Hemmati, Masoud Rahiminezhad Galankashi, D.M. Imani and Farimah Mokhatab Rafiei

The purpose of this paper is to select the best maintenance policy for different types of equipment of a manufacturer integrating the fuzzy analytic hierarchy process…

Abstract

Purpose

The purpose of this paper is to select the best maintenance policy for different types of equipment of a manufacturer integrating the fuzzy analytic hierarchy process (FAHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) models.

Design/methodology/approach

The decision hierarchy of this research includes three levels. The first level aims to choose the best maintenance policy for different types of equipment of an acid manufacturer. These equipment pieces include molten sulfur ponds, boiler, absorption tower, cooling towers, converter, heat exchanger and sulfur fuel furnace. The second level includes decision criteria of added-value, risk level and the cost. Lastly, the third level comprises time-based maintenance (TBM), corrective maintenance (CM), shutdown maintenance and condition-based maintenance (CBM) as four maintenance policies.

Findings

The best maintenance policy for different types of equipment of a manufacturer is the main finding of this research. Based on the obtained results, CBM policy is suggested for absorption tower, boiler, cooling tower and molten sulfur ponds, TBM policy is suggested for converters and heat exchanger and CM policy is suggested for a sulfur fuel furnace.

Originality/value

This research develops a novel model by integrating FAHP and an interval TOPSIS with concurrent consideration of added-value, risk level and cost to select the best maintenance policy. According to the highlights of the previous studies conducted on maintenance policy selection and related tools and techniques, an operative integrated approach to combine risk, added-value and cost with integrated fuzzy models is not developed yet. The majority of the previous studies have considered classic fuzzy approaches such as FAHP, FANP, Fuzzy TOPSIS, etc., which are not completely capable to reflect the decision makers’ viewpoints.

Details

International Journal of Quality & Reliability Management, vol. 37 no. 9/10
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 7 October 2013

Marcello Braglia, Davide Castellano and Marco Frosolini

The purpose of this paper is to present a reliability centered maintenance (RCM) embedded integer linear programming approach (suited to the budget monetary resources…

1267

Abstract

Purpose

The purpose of this paper is to present a reliability centered maintenance (RCM) embedded integer linear programming approach (suited to the budget monetary resources allocation task) to the maintenance strategies mix selection for an industrial plant equipment.

Design/methodology/approach

The developed approach allows to determine the optimal maintenance strategies mix for a set of equipment in a more quantitative way than the classic RCM approach. The proposed model takes into account, for each potential failure determined using the FMECA and for each admissible strategy, the costs and the potential risk priority number (RPN) reduction. Finally, an industrial case concerning an Italian paper-mill plant is reported to demonstrate the effectiveness of the approach presented.

Findings

The paper finds that the application of the proposed approach allows to optimally allocate the budget monetary resources, determining which suitable maintenance practice apply to each failure, taking into account the costs of each strategy and the potential reduction of the RPN.

Practical implications

The proposed model permits to assign (during the budget monetary resources allocation task) to each failure the optimal strategy, among a set of suitable maintenance practices, considering the costs and the estimated RPN reduction.

Originality/value

The paper proposes a completely new RCM embedded approach to the maintenance strategies selection, in order to optimally allocate the budget monetary resources. This model overcomes the limits of the traditional RCM approach, taking into account quantitative aspects, i.e. the compatibility constraint between failures and policies, the maintenance strategies costs, and the RPN estimated reduction.

Details

International Journal of Quality & Reliability Management, vol. 30 no. 9
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 1 September 2005

Maurizio Bevilacqua, Marcello Braglia, Marco Frosolini and Roberto Montanari

To suggest that a multi layer perception based artificial neural network (MLP‐ANN) is a practical instrument to evaluate the expected failure rates of 143 centrifugal…

1600

Abstract

Purpose

To suggest that a multi layer perception based artificial neural network (MLP‐ANN) is a practical instrument to evaluate the expected failure rates of 143 centrifugal pumps used in an oil refinery plant.

Design/methodology/approach

A MLP is adopted to weigh up the correlation existing among the failure rates and the several different operating conditions which have some influence in the occurrence.

Findings

During the training phase, it is possible to discriminate among those variables closely significant for the final outcome and those which can be kept off from the analysis. In particular, the neural network automatically calculates and classifies the centrifugal pumps in terms of both the failure probability and its variability degree, giving a better analysis instrument to take decisions and to justify them, in order to optimise and fully support an eventual preventive maintenance (PM) program.

Originality/value

Aids in decision‐making to reduce the necessity of reactive maintenance activities and to simplify the planning of PM ones.

Details

Journal of Quality in Maintenance Engineering, vol. 11 no. 3
Type: Research Article
ISSN: 1355-2511

Keywords

Article
Publication date: 29 June 2012

Ruchi Garg, Zillur Rahman, M.N. Qureshi and Ishwar Kumar

The purpose of this paper is to identify and evaluate the critical success factors which make the dimensions for measuring customer experience (CE) in banking…

3166

Abstract

Purpose

The purpose of this paper is to identify and evaluate the critical success factors which make the dimensions for measuring customer experience (CE) in banking organizations more effective and purposeful. These critical success factors have been prioritized in order to find out which is more important for the five threshold dimensions to achieve favourable CE.

Design/methodology/approach

The paper examines the critical success factors of CE which have been identified from the literature survey and through expert's opinion have finally confirmed in context of this study on banking organizations. Further, analytic hierarchy process (AHP) has been used in order to evaluate the identified 14 critical factors of CE and to find their priorities for success in banking organizations.

Findings

On the basis of the proposed hierarchical model, the findings suggest that the factors such as convenience, employees, online functional elements, and servicescape are critical for measuring CE in banking organizations.

Research limitations/implications

In the literature, it is assumed that the criteria for measuring CE are mutually exclusive. But it has been found that in the real world these criteria may sometimes depend on one other, particularly in banking organizations. Therefore, in order to resolve such issues it is advised that future research may apply analytic network process (ANP).

Practical implications

The findings suggest that the managers in banking organizations must ameliorate these critical factors according to their weights, in order to attain favourable CE, sustainable competitive advantage and customer delight.

Originality/value

Because of the subjective nature of CE, AHP serves as an empirical approach in prioritization of critical success factors of CE, which has been a major lacuna in available literature. The results presented in this paper are objective, reliable, and may be generalized for measuring CE in banking organizations.

Details

Journal of Modelling in Management, vol. 7 no. 2
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 1 September 2004

Massimo Bertolini, Maurizio Bevilacqua, Marcello Braglia and Marco Frosolini

In this paper an experience dealing with the analysis of maintenance outsourcing by means of multi‐criteria decision methods (MCDM) is reported. In particular, the…

4133

Abstract

In this paper an experience dealing with the analysis of maintenance outsourcing by means of multi‐criteria decision methods (MCDM) is reported. In particular, the analytic hierarchy process technique (AHP) is used as a managerial decision support system to select the best alternative between different outsourcing contracts in terms of maintenance services. The proposed methodology has been tested on an industrial case study dealing with an important italian brickwork. This application shows how the AHP is able to support the choice of the correct level of the maintenance activities outsourcing. In particular, the hierarchic decisional structure developed represents an instrument able to give a well balanced synthesis of several different factors that must be taken into account during this type of decision problem.

Details

International Journal of Quality & Reliability Management, vol. 21 no. 7
Type: Research Article
ISSN: 0265-671X

Keywords

1 – 10 of 320