Lean management framework for improving maintenance operation: development and application in the oil and gas industry

Shou, Wenchi; Wang, Jun; Wu, Peng; Wang, Xiangyu

doi:10.1080/09537287.2020.1744762

Cited by 44 publications

(31 citation statements)

References 49 publications

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“…There are many types of defuzzification methods, but centroid, also known as the centre of gravity, is the most widely used [45]. The centroid method is shown in Equation (9).…”

Section: Fuzzy Logic Working Principles For Criticality Assessmentmentioning

confidence: 99%

“…The uniqueness of assets comprised in the bulk of activities performed during MoOSTs may lead to delays that are most evident in systems where failures are not self-revealed, especially in production critical systems, whereby running inspections are impractical [8]. Consequently, MoOSTs management is particularly burdened with overt reliance on outsourced resources, as well as constraints, such as separation of asset owners and complex accountability for asset management, which makes the measurement of asset maintenance performance and its continuous control and evaluation critical [9]. Critical issues plaguing engineering organisations are anticipated loss of specialist knowledge due to the retirement of experienced practitioners and dearth in replenishing expertise held by collective groups of individuals involved in MoOSTs [10].…”

Section: Introductionmentioning

confidence: 99%

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Knowledge Criticality Assessment and Codification Framework for Major Maintenance Activities: A Case Study of Cement Rotary Kiln Plant

Iheukwumere-Esotu

Yunusa‐Kaltungo

2021

Sustainability

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Maintenance experts involved in managing major maintenance activities such as; Major overhauls, outages, shutdowns and turnarounds (MoOSTs) are constantly faced with uncertainties during the planning and/or execution phases, which often stretches beyond the organisation’s standard operating procedures and require the intervention of staff expertise. This underpins a need to complement and sustain existing efforts in managing uncertainties in MoOSTs through the transformation of knowledgeable actions generated from experts’ tacit-based knowledge. However, a vital approach to achieve such transformation is by prioritising maintenance activities during MoOSTs. Two methods for prioritising maintenance activities were adopted in this study; one involved a traditional qualitative method for task criticality assessment. The other, a quantitative method, utilised a Fuzzy inference system, mapping membership functions of two crisp inputs and output accompanied by If-Then rules specifically developed for this study. Prior information from a 5-year quantitative dataset was obtained from a case study with appreciable frequency for performing MoOSTs; in this case, a Rotary Kiln system (RKS) was utilised in demonstrating practical applicability. The selection of the two methods was informed by their perceived suitability to adequately analyse the available dataset. Results and analysis of the two methods indicated that the obtained Fuzzy criticality numbers were more sensitive and capable of examining the degree of changes to membership functions. However, the usefulness of the traditional qualitative method as a complementary approach lies in its ability to provide a baseline for informing expert opinions, which are critical in developing specific If-Then rules for the Fuzzy inference system.

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“…There are many types of defuzzification methods, but centroid, also known as the centre of gravity, is the most widely used [45]. The centroid method is shown in Equation (9).…”

Section: Fuzzy Logic Working Principles For Criticality Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Knowledge Criticality Assessment and Codification Framework for Major Maintenance Activities: A Case Study of Cement Rotary Kiln Plant

Iheukwumere-Esotu

Yunusa‐Kaltungo

2021

Sustainability

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“…Lean thinking aims to perform activities or services with fewer resources, fewer tools, less time, less physical space, high customer satisfaction, minimum non-value-added action and minimum waste [15]. In the FM, unnecessary inspection and repairs, breakdown, increase in downtime duration, rework, safety issues, high maintenance costs, efficiency and performance problems, rapid wear of components, excessive resource utilization and storage, timely decision making, transportation of materials, the unnecessary motion of staffs, variation in processes, data searching and customer dissatisfaction can be seen as application areas for LMP [4,9,12,100,101].…”

Section: Lean Management Practices In Facility Managementmentioning

confidence: 99%

“…Mostafa et al [101] proposed a lean maintenance structure that is designed based on five lean principles; specifying the value, identifying the value stream, flow the value, pulling the value and pursue perfection. Shou et al [9] proposed a lean management framework for maintenance acitivities. To verify the proposed framework, the authors used 4D BIM from a real-life environment.…”

Section: Lean Management Practices In Facility Managementmentioning

confidence: 99%

Lean Management Framework for Healthcare Facilities Integrating BIM, BEPS and Big Data Analytics

2020

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An increase in the usage of information and communication technologies (ICT) and the Internet of Things (IoT) in Facility Management (FM) induces a huge data stack. Even though these data bring opportunities such as cost savings, time savings, increase in user comfort, space optimization, energy savings, inventory management, etc., these data sources cannot be managed and manipulated effectively to increase efficiency at the FM stage. In addition to data management issues, FM practices, or developed solutions, need to be supported with the implementation of lean management philosophy to reveal organizational and managerial wastes. In the literature, some researchers performed studies about awareness about building information modeling (BIM)-FM, and FM-related data management problems in terms of lean philosophy. However, the comprehensive solution for effective FM has not been investigated with the application of lean management philosophy yet. Therefore, this study aims to develop an FM framework for healthcare facilities by considering lean management philosophy since more stable workflow, continuous improvement, and creating more value to customers will help to deliver a more acceptable solution for the FM industry. Within this context, the integration of BIM, Building Energy Performance Simulations, and Big Data Analytics are proposed as a solution. In the study, the Design Science Research (DSR) methodology was followed to develop the FM framework. Depending on the DSR methodology, two scenarios were used to investigate the issue in a real healthcare facility and develop the FM framework. The developed framework was evaluated by four experts, and the revisions of the proposed framework were realized.

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“…Meanwhile, "four-dimensional simulation before construction" (D16) exerted more influence on BIM implementation in the large construction firms (mean = 3.71) than in the SM firms (mean = 2.38). Four-dimensional simulation is another BIM engine [36] and helps the team easily understand the construction impact of any decisions [64]. The multiple roles of the large contractors meant more work processes, which necessitated better scheduling before construction.…”

Section: Comparison Between Large and Sm Construction Firmsmentioning

confidence: 99%

Diffusion of Building Information Modeling in Building Projects and Firms in Singapore

et al. 2020

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Building information modeling (BIM) implementation has been mandated in building projects in Singapore, but a wider adoption is still desired. This study aims to investigate the factors influencing BIM diffusion and examine how the factors influence firms with different project roles, firm sizes, and BIM implementation experience. The results of a pilot study, a questionnaire survey with 89 professionals, and five post-survey interviews showed that hindrances related to inadequate multi-party collaboration (whether formal or informal), conservative mindset, limited skills, costly infrastructure and training, and multi-discipline model integration were the most influential, whereas drivers associated with project leadership team’s strategic consensus, multi-disciplinary design coordination, training, and government regulations were top-ranked. Subgroup analyses between pairs of firms with different characteristics revealed that while construction firms and less experienced stakeholders tended to underestimate BIM implementation difficulties, small-medium contractors might underestimate relevant benefits. The findings and managerial recommendations help different types of firms prioritize resources to overcome hindrances, seize opportunities (such as gaining a competitive edge from BIM practical experience), and obtain support from workers executing BIM daily. With major stakeholders’ recognition and implementation, BIM can be successfully diffused in building projects and firms. The Singapore government and other countries can refer to this study when further issuing BIM diffusion policies.

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Lean management framework for improving maintenance operation: development and application in the oil and gas industry

Cited by 44 publications

References 49 publications

Knowledge Criticality Assessment and Codification Framework for Major Maintenance Activities: A Case Study of Cement Rotary Kiln Plant

Knowledge Criticality Assessment and Codification Framework for Major Maintenance Activities: A Case Study of Cement Rotary Kiln Plant

Lean Management Framework for Healthcare Facilities Integrating BIM, BEPS and Big Data Analytics

Diffusion of Building Information Modeling in Building Projects and Firms in Singapore

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