Development of a wireless Plug&amp;Lean system for improving manufacturing equipment diagnosis

Santos, Javier; García, M. Carmen Jaca; Arcelus, Mikel; Viles, Elisabeth; Uranga, Jon

doi:10.1080/0951192x.2011.554874

Cited by 12 publications

(8 citation statements)

References 29 publications

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“…It was carried out a systematic analysis of the literature, in order to identify the relationship between TPM and maintenance, aiming at the study of the major contributions of the TPM practices implementation on the operational performance of organizations toward better product quality (Costa et al, 2019;Marques et al, 2018;S a et al, 2019Santos et al, 2019a;Bravi et al, 2019) protecting the environment (Carvalho et al, 2020;Ara ujo et al, 2019;Barbosa et al, 2018;Santos et al, 2014;Bravi et al, 2020;Jim enez-Delgado et al, 2020;Talapatra et al, 2019) and consequently, achieving greater customer satisfaction (Bravi et al, 2017), creating value (Bravi et al, 2018;Santos et al, 2019b;Felix et al, 2019a;Zgodavova et al, 2020;Marinho et al, 2020) and valuing new business (Doiro et al, 2017(Doiro et al, , 2019Santos et al, 2018b;F elix et al, 2019b;Rodrigues et al, 2019) where new ideas are welcome (Santos et al, 2018a(Santos et al, , 2019cAzevedo et al, 2019), for rapid improvement (Rodrigues et al, 2020;Vieira et al, 2019;Ribeiro et al, 2019;Murmura et al, 2021). Santos et al (2011) developed a system called Plug and Lean, based on TPM, with the objective of providing a reliable diagnosis of the current state of the equipment, focusing on the display of graphical information regarding the performance restrictions of the equipment toward improvement activities, allowing the collection of data from production equipment with high precision and with less effort. The first case study took place at a company that manufactures natural wood cladding solutions where the initial variability in line availability and performance has been eliminated, with an increase in Overall Equipment Effectiveness (OEE) from 53.5% to 74.7%.…”

Section: Literature Reviewmentioning

confidence: 99%

The value of TPM for Portuguese companies

Vaz

Sá

Santos

et al. 2021

JQME

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PurposeThe purpose of this paper is to assess the impact of a maintenance philosophy, Total Productive Maintenance (TPM), on the operational performance of the Portuguese industry, identifying how it enables the systematic reduction of waste in maintenance.Design/methodology/approachA structured questionnaire was constructed and sent to 472 Portuguese enterprises, having obtained a sample constituted of 84 valid answers. With a five-point Likert scale, it was possible to assess the impact of the TPM on five operational performance dimensions, being them: quality, flexibility, productivity, safety and costs.FindingsIt was found that the planned maintenance, together with education and training are the practices with the highest degree of implementation in the Portuguese industry, exceeding 70% for both. The productivity is the dimension with a higher degree of impact from the implementation of TPM and costs the dimension that suffered a lesser impact.Practical implicationsThis paper shows and analyses the current state of TPM implementation in the Portuguese industry and it will be useful for maintenance professionals, researchers and others concerned with maintenance, in order to understand the effects of TPM implementation on the operational performance of the Portuguese industries.Originality/valueThe findings from this paper will be valuable for professionals who desire and are looking forward to implement an effective maintenance approach in the maintenance management system, in order to achieve the excellence in maintenance.

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Section: Literature Reviewmentioning

confidence: 99%

The value of TPM for Portuguese companies

Vaz

Sá

Santos

et al. 2021

JQME

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“…1, the OEE includes six big losses and divides them into three categories Q, P and A: Q means quality (i.e., to produce only good parts), P means performance (i.e., to produce as fast as possible) and A means availability (i.e., to produce without stop-times) (Nakajima, 1988). Effectiveness can be correctly measured and improved by the availability, performance and quality partial rates provided by this metric (Santos et al, 2011). However, OEE concepts definition can be adjusted for application in specific contexts (Muñoz-Villamizar et al 2018).…”

Section: Oee As a Key Performance Indicatormentioning

confidence: 99%

“…Manufacturing companies are aware of the importance of effectively managing equipment efficiency in order to continuously improve the production process. Most losses in productivity derive from a lack of proper equipment efficiency management (Santos et al, 2011). If equipment efficiency is not correctly measured and controlled, it will be difficult for companies to be competitive.…”

Section: Introductionmentioning

confidence: 99%

Improving effectiveness of parallel machine scheduling with earliness and tardiness costs: A case study

Muñoz-Villamizar¹,

Santos²,

Montoya‐Torres³

et al. 2019

10.5267/j.ijiec

Self Cite

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This paper assesses the effectiveness in scheduling independent jobs with earliness/tardiness costs and variable setup times applying the Overall Equipment Effectiveness (OEE). The OEE is a common metric for measuring the manufacturing productivity. We defined a mixed-integer linear programming formulation of the parallel machine scheduling problem with four different objective functions in order to compare different scheduling configurations. Real data, from a plastic container manufacturing company located in the Basque Country (Spain), were used to validate this approach. A sensitivity analysis was performed with different production capacities and earliness/tardiness costs in order to evaluate the trade-offs between economic performance (i.e., costs) and the partial rates of OEE (i.e., quality, performance and availability). The objective of this study is to propose a guideline to help management make decisions regarding the measurement and improvement of scheduling effectiveness through contemplating earliness, tardiness and variable setup times.

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“…According to [7], OEE lacks a comprehensive framework for practitioners in order to systematically improve equipment performance. The framework developed by Garcia et al and Santos et al [8,9] based on OEE and the wireless technology solution for improving overall manufacturing operations is mainly driven by the two key components: the OEE indicator and continuous improvement methodology. The main contributions and values of these framework are integrated the wireless advance technology in the field of operations management to drive for continues improvement in maintenance.…”

Section: Literature Reviewmentioning

confidence: 99%

A Framework for Improving Manufacturing Overall Equipment Effectiveness

Ng¹,

Chong²

2018

IJET

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Nowadays, manufacturing is getting more and more challenging and complex due to shorter product life cycle, high mixed low volume production situation, low equipment performance and volatile customer demand. To overcome all these detractors and rising demands from all angles, manufacturer needs to be fast and agile, as efficient and as transparent as possible. Productivity is the key factor for company in order to become competitive advantage and securing the organization work place. Due to this strong pressure, it forces company introduce many production programs in order to fight the battle. Production productivity programs such as Total Quality Management (TQM), Zero Defect (ZD) initiative, Next Level of Productivity (NLoP), Lean Manufacturing (LM), total productive maintenance (TPM) and Toyota Production System (TPS) are well-known to many manufacturing industries. OEE topic has become progressively popular and widely used to improve productivity and as a research discussion in operation management. However, OEE framework for previous studies was developed on a piecemeal basis. This paper presents a new and complete conceptual framework that illustrates the most important factors that influence and contribute to OEE improvement. The comprehensive framework is able to provide effective guidance and direction to industry practitioner on how to improve OEE.

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Development of a wireless Plug&Lean system for improving manufacturing equipment diagnosis

Cited by 12 publications

References 29 publications

The value of TPM for Portuguese companies

The value of TPM for Portuguese companies

Improving effectiveness of parallel machine scheduling with earliness and tardiness costs: A case study

A Framework for Improving Manufacturing Overall Equipment Effectiveness

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