The main purpose of this paper was to introduce procedural changes based on a type of human resources management tool using Lean Leadership (LL). We sought to determine which Lean Tools (LTs) are able to promote a rapid impact on a company; namely, we aimed to determine which LTs are able to facilitate fast and positive results for companies after their implementation, thus allowing for quick wins. This study was conducted at a medium-sized Portuguese company in the metalworking sector. Results were assessed from two surveys (involving 17 people) regarding perceptions of employee awareness in the machining area for Quality, Maintenance/Equipment, Process/Products, Leadership/Management by Objectives, and Trust and Training. The surveys were conducted at the beginning of the study and at the end of a quarterly period. LTs were used over a period of three months, thus enabling changes to the company’s manufacturing processes which could lead to improved organization, orientation, consistency and viability. Three months were considered an adequate time period to measure whether the tools were effective in the production of quick wins or not. LL allowed for greater awareness of the importance of LTs, the most important feature of which is the aggregation of all of the employees’ energies, which culminates in better operational efficiency and an increase in the employees’ overall positive perceptions of their company’s principles and mindset. The introduction of LL, as well as the implementation of 10 LTs, which are considered to be Quick-Win Tools, enabled employees to improve their perceptions of their company by 6.1%. Lean tools can be implemented quickly and are easily understood by their intended users. These benefits provide additional motivation for their use and for the achievement of highly satisfactory operating results across production areas. This study aims to identify which lean tools allow companies to obtain benefits/gains quickly. This outcome is the main contribution of this study to the scientific community and to companies. A Quick Win means a rapid improvement in a short period of time. As such, lean tools that provide Quick Wins also contribute to economic development. Due to the restricted time period imposed by the main purpose of this study, statistical analysis of the results was unfeasible.

The use of emergency departments (EDs) has increased during the COVID-19 outbreak, thereby evidencing the key role of these units in the overall response of healthcare systems to the current pandemic scenario. Nevertheless, several disruptions have emerged in the practical scenario including low throughput, overcrowding, and extended waiting times. Therefore, there is a need to develop strategies for upgrading the response of these units against the current pandemic. Given the above, this paper presents a hybrid fuzzy multicriteria decision-making model (MCDM) to evaluate the performance of EDs and create focused improvement interventions. First, the intuitionistic fuzzy analytic hierarchy process (IF-AHP) technique is used to estimate the relative priorities of criteria and sub-criteria considering uncertainty. Then, the intuitionistic fuzzy decision making trial and evaluation laboratory (IF-DEMATEL) is employed to calculate the interdependence and feedback between criteria and sub-criteria under uncertainty, Finally, the combined compromise solution (CoCoSo) is implemented to rank the EDs and detect their weaknesses to device suitable improvement plans. The aforementioned methodology was validated in three emergency centers in Turkey. The results revealed that the most important criterion in ED performance was ER facilities (14.4%), while Procedures and protocols evidenced the highest positive D + R value (18.239) among the dispatchers and is therefore deemed as the main generator within the performance network.

Scheduling flexible job-shop systems (FJSS) has become a major challenge for different smart factories due to the high complexity involved in NP-hard problems and the constant need to satisfy customers in real time. A key aspect to be addressed in this particular aim is the adoption of a multi-criteria approach incorporating the current dynamics of smart FJSS. Thus, this paper proposes an integrated and enhanced method of a dispatching algorithm based on fuzzy AHP (FAHP) and TOPSIS. Initially, the two first steps of the dispatching algorithm (identification of eligible operations and machine selection) were implemented. The FAHP and TOPSIS methods were then integrated to underpin the multi-criteria operation selection process. In particular, FAHP was used to calculate the criteria weights under uncertainty, and TOPSIS was later applied to rank the eligible operations. As the fourth step of dispatching the algorithm, the operation with the highest priority was scheduled together with its initial and final time. A case study from the smart apparel industry was employed to validate the effectiveness of the proposed approach. The results evidenced that our approach outperformed the current company’s scheduling method by a median lateness of 3.86 days while prioritizing high-throughput products for earlier delivery.

Land cargo transportation is one of the components of the logistics chain with high impact on economic and social development worldwide. However, problems such as top logistics costs, deficiencies in transportation infrastructure and the failure to adopt good operating practices in aspects such as quality, environment, and occupational safety and health affect the ability of companies to comply with the agreements, requirements, and regulations of the clients and other interested parties. One of the most relevant problems for the sector is associated with the high accident rates that make this medium less advantageous compared to other means of transport with impact on operational costs, on logistics indicators, on compliance with legal regulations and customer satisfaction. However, although there are legal standards and management standards in occupational safety and health, evaluating performance can become a difficult and subjective process, due to the complexity of the land cargo transportation and the different interest groups involved. Besides, there is little information in the literature that provides solutions for the industry. Therefore, this document presents an integrated approach between multi-criterion decision making models (MCDM) and the Multiple Correspondences Analysis (MCA) to facilitate the evaluation and improvement of occupational health and safety performance, with a logical process, objective, robust and using both qualitative and quantitative techniques, with real application in the land cargo transportation sector. First, the multivariate method of Multiple Correspondences Analysis (MCA) was used for the evaluation of a sample of companies in the industry, considering the factors and sub-factors identified in the first stage and performing correlational analyzes among the variables. Subsequently, a multicriteria decision-making model was designed to determine the factors and sub-factors that affect occupational health and safety performance through the technique of the Fuzzy Analytic Hierarchy Process (FAHP). Finally, improvement strategies are proposed based on the approaches suggested in this document.