Search results

1 – 10 of over 91000
Open Access
Article
Publication date: 28 November 2022

Elena Stefana, Paola Cocca, Federico Fantori, Filippo Marciano and Alessandro Marini

This paper aims to overcome the inability of both comparing loss costs and accounting for production resource losses of Overall Equipment Effectiveness (OEE)-related approaches.

Abstract

Purpose

This paper aims to overcome the inability of both comparing loss costs and accounting for production resource losses of Overall Equipment Effectiveness (OEE)-related approaches.

Design/methodology/approach

The authors conducted a literature review about the studies focusing on approaches combining OEE with monetary units and/or resource issues. The authors developed an approach based on Overall Equipment Cost Loss (OECL), introducing a component for the production resource consumption of a machine. A real case study about a smart multicenter three-spindle machine is used to test the applicability of the approach.

Findings

The paper proposes Resource Overall Equipment Cost Loss (ROECL), i.e. a new KPI expressed in monetary units that represents the total cost of losses (including production resource ones) caused by inefficiencies and deviations of the machine or equipment from its optimal operating status occurring over a specific time period. ROECL enables to quantify the variation of the product cost occurring when a machine or equipment changes its health status and to determine the actual product cost for a given production order. In the analysed case study, the most critical production orders showed an actual production cost about 60% higher than the minimal cost possible under the most efficient operating conditions.

Originality/value

The proposed approach may support both production and cost accounting managers during the identification of areas requiring attention and representing opportunities for improvement in terms of availability, performance, quality, and resource losses.

Details

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

Keywords

Article
Publication date: 31 October 2022

Ajith Tom James, Mohammad Asjad and Rahul Panchal

Automobile maintenance garages require varieties of equipment for their smooth functioning. However, the purchase of the right equipment from alternatives is a tough task…

Abstract

Purpose

Automobile maintenance garages require varieties of equipment for their smooth functioning. However, the purchase of the right equipment from alternatives is a tough task as it depends on several economic, technical, and environmental considerations, etc. Moreover, there are different sellers for such equipment, whose features would be satisfying the purchase criteria in varying levels or degrees. Hence, this purchase decision becomes a complex decision-making problem.

Design/methodology/approach

An integrated multi-criteria decision-making approach that includes the combination of fuzzy AHP (analytic hierarchy process) and GRA (grey relational analysis) is used for the purchase decision-making of garage equipment. Various purchase decision criteria regarding garage equipment are assimilated through literature and interaction with garage professionals. The weightage of each purchase criteria of garage equipment is derived using fuzzy AHP. After the establishment of weights, various equipment suppliers are evaluated according to their conformance to the criteria using the GRA method.

Findings

The methodology of FAHP helped in ranking the different purchasing criteria based on their importance. It follows the following sequence: cost of ownership, technical specifications, operational characteristics, reliability and maintenance, after-sales support, commercial features, environmental pollution, and end of life characteristics. GRA methodology has been applied for the purchase of the best common rail test bench among alternatives according to their fulfillment of the purchase criteria requirements that are evaluated by a team of experts.

Originality/value

The integrated approach developed in this work for garage equipment purchase will help garage management to prioritize each supplier of the equipment based on their level of conformance to the purchase criteria.

Details

Grey Systems: Theory and Application, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2043-9377

Keywords

Article
Publication date: 1 March 2001

Carol S. Brinkman and Amanda M. Roubieu

In today’s academic library, the reference department relies heavily on computer workstations to provide patrons with access to reference sources in CD‐ROM and Web…

5343

Abstract

In today’s academic library, the reference department relies heavily on computer workstations to provide patrons with access to reference sources in CD‐ROM and Web formats. Many reference departments also supervise an electronic classroom which is used to provide hands‐on instruction. Planning for the hardware, software, and peripherals necessary to provide patrons with access and training must be an ongoing process in order to keep up with rapid technological changes, both in computer hardware and software applications. Through the maintenance of comprehensive records of existing equipment, including the purpose, capabilities and maintenance of each item, information will be readily available for use in planning for computer equipment. In this article, the authors discuss various types of records that should be kept for computer equipment and how the information contained in these records can be applied to ongoing planning and decision making for management and maintenance.

Details

Reference Services Review, vol. 29 no. 1
Type: Research Article
ISSN: 0090-7324

Keywords

Article
Publication date: 8 May 2007

Thanapun Prasertrungruang and B.H.W. Hadikusumo

This study is intended to investigate the current practices and problems in heavy equipment management as well as to identify practices capable of alleviating equipment

1498

Abstract

Purpose

This study is intended to investigate the current practices and problems in heavy equipment management as well as to identify practices capable of alleviating equipment management problems for highway contractors in Thailand.

Design/methodology/approach

Equipment management practices were identified and analysed by SPSS using a questionnaire survey. ANOVA test was used to reveal significant differences in equipment management practices among different contractor sizes. Relationships between equipment management practices and problems were also revealed.

Findings

The equipment management practices vary, to some extent, among different contractor sizes. While practices of medium and small contractors tend to be similar, practices of large contractors are different from those of smaller contractors. Large contractors often put more emphasis on outsourcing strategy for equipment management. Moreover, large contractors frequently dispose of or replace equipment as soon as the equipment becomes inefficient before incurring high repair costs. Conversely, smaller contractors tend to mainly emphasise on the company finance and the budget availability as they often rely on purchasing strategy, especially buying used machines. Overall, equipment practices of large contractors were found to be more successful than smaller contractors in minimising equipment management problems, including long downtime duration and cost.

Originality/value

This research is of value for better understanding practices and problems relating to heavy equipment management among different contractor sizes. The study also highlights practices that are capable of reducing problems relating to heavy equipment management for highway contractors.

Details

Engineering, Construction and Architectural Management, vol. 14 no. 3
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 9 May 2016

Anil Rana

The purpose of the paper is to provide a method for selection of an optimum level of repair by replacement of an equipment based on its cost. In a ship where the engineer…

Abstract

Purpose

The purpose of the paper is to provide a method for selection of an optimum level of repair by replacement of an equipment based on its cost. In a ship where the engineer has a vast variety of equipment and systems to operate and maintain within limited time frames and availability of human resources, it is often difficult to disassemble a whole equipment to replace a faulty component. It is instead a lot easier to just replace the faulty equipment with whole new equipment. However, such a decision comes at an enormous capital cost. Therefore, the key question is, can we have a model to help us arrive at a decision on the correct level of carrying out repairs?

Design/methodology/approach

The paper uses a model based on cost and convolution of failure distributions of critical sub-components of an equipment. Necessary assumptions based on real life experience have been incorporated in the model.

Findings

The paper used an example of a particular type of motor driven sea water centrifugal pump which was commonly used in main engine sea water system, firefighting system, air conditioning system, etc. The pump had one of the highest failure rates in the ship (approximately one failure per 150 days) and the engineers found it cost and time effective to replace the entire pump on failure rather than carrying out replacement of the failed components. The model analyzed that the engineer’s hunch was not off the mark.

Research limitations/implications

The implication of the work presented in the paper will be savings in maintenance cost and downtime due to optimal level of repairs on a multi-component equipment. The limitations of the work are assumption of independence of failures of components. This may not be true in all the cases. Further, opportunity based maintenance has also not been considered.

Originality/value

The originality of the paper lies in the presentation of a method for selection of an optimum level of maintenance for a multi-component equipment

Details

Journal of Quality in Maintenance Engineering, vol. 22 no. 2
Type: Research Article
ISSN: 1355-2511

Keywords

Article
Publication date: 18 September 2007

Sri Beldona and Vernon E. Francis

To develop, test and implement a sampling strategy for equipment auditing for a Fortune 100 company.

3580

Abstract

Purpose

To develop, test and implement a sampling strategy for equipment auditing for a Fortune 100 company.

Design/methodology/approach

Regression analysis is applied to auditing of equipment for a large US corporation. Empirical data and test data sets are used to evaluate the efficacy of using regression for auditing and to determine reasonable and efficient sample sizes to be employed across more than 5,000 locations.

Findings

Regression is a viable and useful method for equipment auditing when there is anticipated high correlation between pre‐ and post‐audit equipment value. Recommended sample size is dependent upon the size of the location as measured by total pieces of equipment. Decision rules combining acceptable tolerance limits, desired confidence level and sample size are provided.

Research limitations/implications

The method, recommended sample sizes and decision rules are particularly applicable to instances where high correlation is expected between pre‐ and post‐audit equipment values. Standard regression assumptions are not all met in all instances, especially with small sample sizes.

Practical implications

The regression approach and model, sample size recommendations and decision rules for passing or failing an equipment audit described herein have been implemented at a Fortune 100 company, and are generally applicable to equipment and inventory auditing when high correlation between pre‐ and post‐audit equipment is expected.

Originality/value

This paper provides a practical and useful regression‐based approach to sampling for equipment auditing. Recommended sample sizes and decision rules for passing or failing the audit are explicitly defined.

Details

Managerial Auditing Journal, vol. 22 no. 8
Type: Research Article
ISSN: 0268-6902

Keywords

Article
Publication date: 26 October 2012

Hong‐fa Ke, Hong‐Mei Du, Ke He and Xiao‐Hong Yu

The purpose of this paper is to solve the comprehensive evaluation of the equipment maintainability level based on grey system theory, and make an analysis of the…

342

Abstract

Purpose

The purpose of this paper is to solve the comprehensive evaluation of the equipment maintainability level based on grey system theory, and make an analysis of the corresponding influencing factors and their prioritization process.

Design/methodology/approach

Considering the diversity, uncertainty and small sample size of the influencing factors of the equipment maintainability level, a multilayer evaluation attribute system is set up, and the grey relational method is utilized to assess the equipment's comprehensive maintainability. First, the bottom layer relational coefficient and weighted relational degree are analyzed, and, by means of the focus of relational degree through the bottom layer to top layer, the general evaluation of the equipment maintainability is carried out. Second, the equipment maintainability level and its influencing factors model, i.e. GM(1,N) model are set up, and the prioritization of the influencing factors is achieved through the comparison of the size of the model drive coefficients. Finally, the practical example calculation results show that this method has not only realized a sensible and effective evaluation of the equipment maintainability level, but also provided a prioritization of the influencing factors, which helps to focus attention on the major influencing factors and make this method of significant engineering application value in the improvement of the equipment maintainability level.

Findings

The modeling of electronic equipment maintainability level and analysis of its corresponding practical example prove that grey system theory could not only perform a comprehensive evaluation of the equipment maintainability level, but also provide a quantitative analysis of its various influencing factors, whereas, other methods such as fuzzy mathematics, etc. can only make a general evaluation of the equipment maintainability level.

Practical implications

This paper has realized an integral evaluation of the equipment maintainability level and has made an analysis of the prioritization of its various influencing factors. These investigation results could be introduced as a promising innovative idea in the evaluation of the equipments' other performances and the prioritization of its various corresponding influencing factors.

Originality/value

Considering the diversity and uncertainty of influencing factors of the equipment maintainability level, this paper has realized a multilayer evaluation attribute system to perform a comprehensive evaluation of equipment maintainability level by means of weighted grey relational degree model. Furthermore, the prioritization of its various influencing factors is achieved based on the GM(1,N) model.

Details

Grey Systems: Theory and Application, vol. 2 no. 3
Type: Research Article
ISSN: 2043-9377

Keywords

Abstract

Details

The Handbook of Road Safety Measures
Type: Book
ISBN: 978-1-84855-250-0

Article
Publication date: 5 August 2022

Oti Amankwah, Weng-Wai Choong and Naana Amakie Boakye-Agyeman

Although the quality of health-care infrastructure and equipment influences patient’s overall health-care experience, health-care infrastructure and equipment are not…

Abstract

Purpose

Although the quality of health-care infrastructure and equipment influences patient’s overall health-care experience, health-care infrastructure and equipment are not always managed and maintained with the attention required. This is due mainly to the complexity of health-care infrastructure and equipment and shortage of maintenance budget. This study aims to determine if patient’s satisfaction of core health-care business is mediated by the quality of health-care infrastructure and equipment.

Design/methodology/approach

This cross-sectional study comprises 622 adult patients at the Physician OPD and Polyclinic of Komfo Anokye Teaching hospital, Tamale Teaching hospital and Cape Coast Teaching hospital in Ghana. Structural equation model Smart PLS was used to analyse the data.

Findings

The study results showed that the quality of health-care infrastructure and equipment has a positive significant influence (mediation) on the relationship between health-care delivery and patient’s satisfaction as well as the relationship between adequacy of health-care resources and patient’s satisfaction. However, it was shown not to have a positive significant influence (mediation) on the relationship between quality of health-care personnel and patients’ satisfaction as well as health-care administrative process and patient’s satisfaction.

Research limitations/implications

First, the study findings are centred on cross-sectional data, which capture the opinion of the patients at a specific time period instead of over a period of time. Consequently, in future, though difficult to achieve, a longitudinal study can be piloted to provide more insight. Second, the data was collected from only one country (Ghana); thus, the ability to generalise the results may be a challenge.

Practical implications

The implication of this study is that there is the need to prudently maintain hospital infrastructure and equipment in good working condition as it has a positive effect on patients’ satisfaction of their overall health-care experience.

Originality/value

Most studies have concentrated on patient’s health-care experience. This study extends the knowledge of patient’s health-care experience by determining the mediating role of quality of health-care infrastructure and equipment on the relationship between patient’s satisfaction and core health-care business. There are limited studies of such nature in Ghana. Therefore, this study will provide invaluable empirical data for the health-care sector of a developing African country.

Details

Journal of Facilities Management , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1472-5967

Keywords

Article
Publication date: 3 May 2022

Odey Alshboul, Ali Shehadeh, Omer Tatari, Ghassan Almasabha and Eman Saleh

Efficient management of earthmoving equipment is critical for decision-makers in construction engineering management. Thus, the purpose of this paper is to prudently…

Abstract

Purpose

Efficient management of earthmoving equipment is critical for decision-makers in construction engineering management. Thus, the purpose of this paper is to prudently identify, select, manage and optimize the associated decision variables (e.g. capacity, number and speed) for trucks and loaders equipment to minimize cost and time objectives.

Design/methodology/approach

This paper addresses an innovative multiobjective and multivariable mathematical optimization model to generate a Pareto-optimality set of solutions that offers insights of optimal tradeoffs between minimizing earthmoving activity’s cost and time. The proposed model has three major stages: first, define all related decision variables for trucks and loaders and detect all related constraints that affect the optimization model; second, derive the mathematical optimization model and apply the multiobjective genetic algorithms and classify all inputs and outputs related to the mathematical model; and third, model validation.

Findings

The efficiency of the proposed optimization model has been validated using a case study of earthmoving activities based on data collected from the real-world construction site. The outputs of the conducted optimization process promise the model’s originality and efficiency in generating optimal solutions for optimal time and cost objectives.

Originality/value

This model provides the decision-maker with an efficient tool to select the optimal design variables to minimize the activity's time and cost.

Details

Journal of Facilities Management , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1472-5967

Keywords

1 – 10 of over 91000