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Although prior studies have noted the importance of trust for project performance, research remains scant on describing the role of trust when using lean design management (LDM) in projects. The purpose of this paper is to explore the connection between LDM and interpersonal trust in solving construction projects’ design management problems.

A qualitative study was conducted that included 29 trust- and LDM-themed semi-structured interviews in the USA (California), Brazil and Finland; 11 focus group discussions were also organized to validate the interview findings.

The study reveals how LDM contributes to solving design management problems through two distinct but interconnected mechanisms: improved information flow; and improved trust among project team members. A conceptual framework was crafted to illustrate the mechanisms in building trust by means of the social domain of LDM concepts.

The conceptual framework requires testing through an international survey or through multiple case studies.

The results indicate that design management would benefit from trustful environments and that trust may be the catalyst for actors’ engagement with LDM. Managers in charge of design within projects can use the conceptual framework when selecting the appropriate LDM tools, which should include both the social and technical domains.

The study emphasizes the importance of the social domain of LDM concepts. Previous studies have focussed on information flow aspects of LDM but have overlooked the value of interpersonal trust in solving design management problems.

Set-based design (SBD) is a lean tool widely adopted for improving design processes and providing value maximization to clients. The purpose of this paper is to present the development and testing of a lean simulation game that incorporated point-based and SBD principles. The objective of the game was to enhance learning of lean design management among construction students.

After a thorough and comprehensive literature review consisting of secondary data in journal papers, books, thesis references and primary data in the form of interviews with lean practitioners, the simulation game prototype was developed. The testing of the game was carried out with a study group. Data were collected during the gameplay with the help of a questionnaire survey on a confidence scale and Likert scale and assessed using the Wilcoxon signed-rank test, histogram, one-sample t-test and false discovery rate (Benjamini–Hochberg) correction method.

The data collected both pre- and post-simulation showed an increase in average confidence in understanding from 3.33 to 3.89, a 16.7% rise. The data was further interpreted by using Wilcoxon signed-rank test, indicating that the post-simulation learning experience was significantly better than the pre-simulation one. Promising positive results were obtained for the questions on game design, engagement and understanding of point-based design and SBD concepts.

The simulation game helps bridge the gap between knowledge building and real-life by effectively imitating the process. The game facilitates a dynamic and critical approach toward developing new educational simulation games and their successful incorporation in propagating lean principles in the construction industry.

Lean distributed manufacturing (LDM) is being considered as an enabler of achieving sustainability and resilience in manufacturing and supply chain operations. The purpose of this paper is to enhance the understanding of how LDM characteristics affect the resilience of manufacturing companies by drawing upon the experience of food manufacturing companies operating in the UK.

The paper develops a conceptual model to analyse the impact of LDM on the operational resilience of food manufacturing companies. A triangulation research methodology (secondary data analysis, field observations and structured interviews) is used in this study. In a first step, LDM enablers and resilience elements are identified from literature. In a second step, empirical evidence is collected from six food sub-sectors aimed at identifying LDM enablers being practised in companies.

The analysis reveals that LDM enablers can improve the resilience capabilities of manufacturing companies at different stages of resilience action cycle, whereas the application status of different LDM enablers varies in food manufacturing companies. The findings include the development of a conceptual model (based on literature) and a relationship matrix between LDM enablers and resilience elements.

The developed relationship matrix is helpful for food manufacturing companies to assess their resilience capability in terms of LDM characteristics and then formulate action plans to incorporate relevant LDM enablers to enhance operational resilience.

Based on the literature review, no studies exist that investigate the effects of LDM on factory’s resilience, despite many research studies suggesting distributed manufacturing as an enabler of sustainability and resilience.

The purpose of this explanatory case study is to explain the implementation of interprofessional, multitiered lean daily management (LDM) and to quantitatively report its impact on hospital safety.

This case study explained the framework for LDM implementation and changes in quality metrics associated with the interprofessional, multitiered LDM, implemented at Saint Francis Hospital and Medical Center (SFHMC) at the end of 2018. Concepts from lean, Total Quality Management (TQM) and high reliability science were applied to develop the four tiers and gemba rounding components of LDM. A two-tailed t-test analysis was utilized to determine statistical significance for serious safety events (SSEs) comparing the intervention period (January 2019–December 2019) to the baseline period (calendar years 2017 and 2018). Other quality and efficiency metrics were also tracked.

LDM was associated with decreased SSEs in 2019 compared to 2017 and 2018 (p ≤ 0.01). There were no reportable central line-associated blood stream infection (CLABSI) or catheter-associated urinary tract infection (CAUTI) for first full calendar quarter in the hospital's history. Hospital-acquired pressure injuries were at 0.2 per 1,000 patient days, meeting the annual target of <0.5 per 1,000 patient days. Outcomes for falls with injury, hand hygiene and patient experience also trended toward target. These improvements occurred while also observing a lower observed to expected length of stay (O/E LOS), which is the organizational marker for hospital’s efficiency.

LDM may contribute greatly to improve safety outcomes. This observational study was performed in an urban, high-acuity, low cost hospital which may not be representative of other hospitals. Further study is warranted to determine whether this model can be applied more broadly to other settings.

LDM can be implemented quickly to achieve an improvement in hospital safety and other health-care quality outcomes. This required a redistribution of time for hospital staff but did not require any significant capital or other investment.

As hospital systems move from a volume-based to value-based health-care delivery model, dynamic interventions using LDM can play a pivotal role in helping all patients, particularly in underserved settings where lower cost care is required for sustainability, given limited available resources.

While many hospital systems promote organizational rounding as a routine quality improvement process, this study shows that a dynamic, intense LDM model can dramatically improve safety within months. This was done in a challenging urban environment for a high-acuity population with limited resources.

This research aims to identify and measure the correlations between building information modelling (BIM) and lean construction (LC) principles at the design and construction phases.

The study investigates BIM-LC principles correlations using the Istanbul Grant Airport (IGA) as a case study. The Delphi technique, performed quantitatively, contributes to the identification and quantification of a set of correlations between 11 selected BIM uses and 13 LC principles, which are supported with practical examples from the case study.

Together, the two research methods provide an evidence-based approach to understand the correlations between BIM and LC. The correlation analysis results in 46 correlations, and the correlations between the LC principles and BIM uses are intensified with the LC principles.

A quantitative understanding BIM use and LC principles correlations and appreciation of their specific uses can guide the practical implementation of BIM and LC, especially in large and mega projects.

BIM and LC practices represent approaches to improve performance in construction projects. While BIM has both information technology (IT) and process perspectives, the LC approach is mainly a process and product-oriented philosophy for project efficiency, effectiveness and the elimination of non-value-adding activities and waste. Many studies have investigated how the two approaches complement each other and concluded that their combined implementation in projects can improve efficiency and effectiveness. However, to date an analytical and granular investigation identifying and measuring correlations between BIM and LC based on empirical data is lacking. This paper fills that gap with an evidence-based analysis of the tightness of coupling and correlations between BIM uses and LC principles.

The construction industry is inefficient in terms of quality products, productivity and performance worldwide, including in Australia and New Zealand. The construction industry is becoming more innovative, competitive and complex; and more participants are involved in construction projects. There are new attempts to implement the Lean construction philosophy, integrated project delivery method and building information modelling (BIM) technology in construction industry to improve productivity and efficiency. This paper aims to identify Lean and BIM integration benefits in construction industry globally and in the New Zealand.

A systematic literature review and case studies were used to identify various benefits of the integrating Lean and BIM in construction industry. It focused on articles published between 1995 and 2021.

Lean and BIM benefits identified in the study were documented such as benefits over the traditional approach, critically increased efficiency and visualization, better building process, better building performance, mitigating risk and reduce cost. Also, several factors were identified as major benefits such as improved onsite collaboration, better coordination, improve onsite communication, increase productivity, mitigating risk, reducing waste and reduced cost. The study showed integrating Lean and BIM in construction management practice will help reduce several challenges which affect expected goals and customer anticipation. The research outcome ultimately will assist different stakeholders in applying Lean and BIM in construction management practice.

This study practically focused on using the integration of BIM and Lean principles to improve the construction industry productivity and performance.

Rising production costs in coastal China have caused the popularity of the “China plus one” strategy, and the hike in oil prices favors near‐shore outsourcing to reduce transportation costs. Taking into consideration supply chain strategy, this paper aims to investigate the impacts of these major business environment changes on manufacturing outsourcing in China.

Considering costs and lead times, a bi‐objective integer programming model is developed to determine optimal supply chain configuration decisions under various business environment scenarios. A case study with a family of footwear products is used to illustrate model application and present detailed analyses.

Impacts of factors could be non‐intuitive. Partial relocation may be better than relocating all manufacturing steps to lower‐cost regions. Coastal China is still attractive for products with short order lead times, because of its formation of industrial clusters and efficient logistics services.

Only tangible factors including costs and lead times are evaluated; however, they offer valuable insight for the strategic decision of selecting outsourcing locations.

The analyses suggest differentiated outsourcing strategies depending on product and demand characteristics. The trend of moving manufacturing away from China is exaggerated. Coastal China has established industrial clusters and efficient logistics support to enable supply chain responsiveness; while inland China maintains a low cost comparable with competing Asian countries.

Existing studies on the research phenomenon focused on cost factors alone. This paper analyzes lead times as well. The study also introduces the network perspective into the research of offshore manufacturing outsourcing.

A literature review revealed that government of various developing economies have put an effort on health-care supply chain through the executing critical factors (CFs) directly. Although they have attained some significant benefits in this tactic, but it was not up to satisfactory level. One of the reasons can be attributed to the fact that government/policy makers are not quantifying the impact of CFs on health-care supply chain. This paper aims to propose a methodology to quantify and estimate the impact of CFs on government-supported health-care supply chain (GHSC).

The Graph Theoretic Approach is proposed for estimating the impact and utility of CFs on an Indian GHSC. This study is also extended to scenario analysis for comparing results with different performance situation.

The results obtained from this study show that performance of Indian GHSC is satisfactory, but performance gaps exist which need to be reduced. In this research work, 12 CFs are identified under two significant categories (SCs), i.e. enablers and barriers and the intensity of enablers and barriers have been calculated to show the impact or influence of CFs on GHSC. The value of intensity shows that the role or impact of enabler category (i.e. performance measurement, employee recognition and reward, technology adoption, training cell, inbuilt analytical tool for IT system) is higher on Indian GHSC in comparison to barriers category to enhance the performance of GHSC.

The obtained numerical results are completely in specific to the Indian perspective only; hence, they cannot be generalized for other countries. Simultaneously, this study is related to government supported health-care system; hence, the selection of expert panel was crucial due to the unavailability of doctors and other stakeholders of government system.

The proposed approach is aimed at providing a procedure for evaluating the impact of CFs on HSC in general and GHSC in specific. This study is an attempt to assist government and top management of GHSC to assess the impact of CFs on GHSC and accordingly define its course of actions.

Although various issues related to the CFs have been broadly identified and analyzed, no dedicated study has been reported in the field for quantification of impacts of CFs. Furthermore, this proposed model has an ability to recognize the specific contribution of each CF and overall contribution.

This paper aims to seek answers to a primary question: “How much do divergent leverage factors account for fluctuations in time-varying financial leverage in leading hospitality sub-sectors decomposed by four exclusive sub-portfolios?” In the path of seeking answers, this paper investigated the effects of both firm-specific and macroeconomic indicators to firms’ varying financial leverage in those primary sub-sectors overtime.

In each sub-sector portfolios, firms were sorted based on market-to-book values (Mktbk _it ) with median breakpoint percentiles. For hypothesis testing, this paper constructed panel regression models with firm fixed-effects to layout fluctuant financial leverage phenomenon engaged with a set of 11 leverage factors in each Mktbk _it sorted sub-sector portfolios.

Results exhibited assorted evidences. The bottom line was: firms with different market capitalization rates in each portfolio acted differently in regard to the magnitude of financial leverage across time.

The final sample of 415 firms in four sub-sector portfolios sufficiently embraced financial leverage composition in the hospitality industry across time. However, by reason of lack of data in the other intra-hospitality industries, such as gaming and/or cruise lines, findings did not represent the firms operated in those sub-industries.

This paper departed from the established context of the previous literature in the manner that it expects to add to the literature by demonstrating the core drivers causing the deviations in financial structure in four exclusive, hospitality industry sub-sector portfolios with varying leverage proxies overtime.

The study aims at evaluating the most appropriate transport project which is one of the critical concerns of transport infrastructure scheduling. This process will be applied considering a set of criteria and discussed alternatives with sustainable perspectives.

In this paper, a complex proportional assessment (COPRAS) framework is discussed to handle the sustainable transport investment project (STIP) assessment problem within a single-valued neutrosophic set (SVNSs). To form the procedure more useful in handling with uncertain features, a SVNS is applied as a valuable procedure to handle uncertainty. First, a new discrimination measure for SVNSs is introduced and discussed some elegant properties to determine the significance degree or weight values of criteria with the sustainabality perspectives. Second, an integrated approach is introduced based on the discrimination measure and the COPRAS method on SVNSs and named as SVN-COPRAS.

A case study of an STIP evaluation problem is used to confirm the practicality and effectiveness of the SVN-COPRAS framework. Lastly, comparative discussion and sensitivity investigation are illustrated to prove the strength and solidity of the proposed framework.

The SVNSs enrich the essence of linguistic information when a decision expert (DE) vacillates among different linguistic values (LVs) to measure a sustainable transport project alternative problem. The utilization of SVNSs provides a more stable procedure to describe DEs' evaluations. So, an elegant methodology is developed to incorporate the DEs' awareness and experience for electing the desired STIPs. The introduced methodology has higher operability than the single-valued neutrosophic set technique for order preference by similarity to an ideal solution (SVN-TOPSIS) procedure during the larger numbers of attribute(s) or option(s). For the SVN-COPRAS methodology, there is no need to estimate the single-valued neutrosophic ideal solution (SVN-IS) and single-valued neutrosophic anti-ideal solution (SVNA-IS). The outcomes are calculated with handling the realistic data, which elucidates that the introduced model can tackle more intricate and realistic multi-criteria decision-making issues.