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Investigating the impact of lean construction principles on contractors’ project performance in Ethiopia using PLS-SEM
, Available Online: April, 2024 Achamyelew Maru, Wubshet Jekale and Belachew Asteray PDF (650K) |
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Abstract: The construction industry faces challenges, such as schedule overruns, cost overruns, poor quality, and safety issues. Lean construction is a valuable concept for waste reduction and improving project performance. This study explored the impact of lean construction principles on contractors' project performance in Ethiopia. Using a quantitative method and simple random sampling technique, 159 respondents from construction companies were selected. This study introduced partial least squares structural equation modeling (PLS-SEM) in the study area. The results showed that process/technology lean principles, people/culture lean principles, and integrated project delivery variables had a direct positive impact on contractor performance. There was also a significant indirect relationship between process/technology-lean construction principles and project performance with a complementary partial mediation effect. However, no significant indirect associations were found between people/culture-lean construction principles and project performance through mediation of onsite construction waste management. The study used FIMIX-PLS to test robustness and detect hidden heterogeneity at non-critical levels. The findings provide researchers and practitioners to identify the influences that are critical for contractors’ projects performance improvement, and that results in the best possible outcome. DOI: 10.5267/j.jpm.2024.4.004 Keywords: Construction management, Lean principles, Project performance, Partial least squares structure equation modeling (PLS-SEM)
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Optimizing outpatient appointment scheduling: Innovative strategies for enhanced efficiency in psychiatric clinics
, Available Online: April, 2024 Alireza Kasaie, Hamed Farrokhi-Asl and Shermineh hadadkaveh PDF (650K) |
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Abstract: Patient punctuality significantly impacts resource utilization and patient waiting times, among other quality indicators, within psychiatry clinics. In pursuit of service improvement, this study endeavors to develop effective appointment scheduling systems that optimally distribute patients' needs during clinical sessions, thereby enhancing resource utilization and patient satisfaction. In developing these scheduling rules, three patient-related uncertainties are considered: preference, availability, and punctuality. Various scheduling rules are evaluated based on their average total cost under different scenarios. The HSBGDM rules have emerged as a balanced approach for clinic operations, effectively managing physician time but occasionally leading to overtime variations. Increased patient delays often exacerbate physician idle times, particularly under IBVST and VBVST rules. Hybrid rules, such as the HSBGDM series, adapt well, improving patient wait times and managing unscheduled patients. However, scheduling systems like REPDM may prolong waits, potentially impacting patient satisfaction. Systems prioritizing new appointments can increase physician idle times due to unpredictability. While accommodating unscheduled patients enhances service quality, it may also cause disruptions. This study provides valuable insights into scheduling dynamics, assisting administrators in balancing efficiency, cost, and patient satisfaction. DOI: 10.5267/j.jpm.2024.4.003 Keywords: Appointment scheduling systems, Psychiatric clinic efficiency, Patient Unpunctuality, Resource utilization, Patient outcomes
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Optimization model of staffing for aircraft ground handling in the case of personnel substitutability
, Available Online: April, 2024 Jakub Cíleček, Dušan Teichmann and Stanislav Szabo PDF (650K) |
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Abstract: The presented article deals with the mathematical modeling of aircraft ground handling on the service apron to utilize ground personnel more efficiently in the case of existing substitutability of workers. This article proposes a supporting decision-making tool for effective planning of the aircraft ground handling. This tool will be used for a selected type of aircraft and using the minimum number of personnel participating in the aircraft ground handling procedure. The optimization is based on the original mathematical programming model and its solution. Computational experiments verifying the functionality of the proposed model were performed on current data from the Ostrava International Regional Airport in the Czech Republic. The originality of the proposed approach (apart from the original model) comes with introducing the substitutability of workers of individual qualifications and the decomposition of workgroups composed of workers of the same qualification down to the level of individual workers. Above-mentioned decomposition of workgroups enables the flexible and separate transfer of individual workers included in the same groups between activities in the event of downtime of the given group and the existence of an activity that is not covered by the required number of workers. The substitutability of workers and the decomposition of individual groups down to the level of individual workers will make it possible to lower the number of workers or verify that the number of workers is optimal and eliminate potential staff downtime. DOI: 10.5267/j.jpm.2024.4.002 Keywords: Optimization, Mathematical modeling, Aircraft, Ground handling, Substitutability
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Does risk management components influence on project success? Evidence from IT sector
, Available Online: April, 2024 J. Joshua Selvakumar, G. Suganya, T.S. Arthi and Sathish Pachiyappan PDF (650K) |
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Abstract: All organizations and stakeholders would ideally like to see an information technology (IT) project managed successfully. Many researchers have strongly debated the importance of risk management in project management about the size of the project since it gives project managers a forward-looking view of risks and chances to increase the project's success. The main aim of the study is to determine how risk management parameters and their mediated effects impact the effectiveness of IT projects. Data was collected from 261 IT professionals involved in projects through a structured questionnaire and analyzed using regression and SEM to test their statistical significance and prove the hypothesis. The study arrived at some significant results which showed the relationship of Risk Identification and Risk Analysis on Risk Assessment, which impacts Project Success. It also showed that the success of the project depended on Stakeholders Tolerance and Risk Implementation. In addition to this, the study provides evidence that risk management does not influence the success of the project. The study's discovery of the intervening impact of risk management practices clarifies preconceived conceptions in the risk management sector. DOI: 10.5267/j.jpm.2024.4.001 Keywords: Risk Management, Project Success, Risk Planning, Risk Assessment, Information Technology
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Open Access Article | |||
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Optimizing Modular Hub Location in Air and Road Transportation Systems
, Available Online: March, 2024 Zahra Arabzadeh Nosrat Abad and Farid Momayezi PDF (650K) |
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Abstract: Hub networks play a crucial role in optimizing transportation costs in air and road systems. Their main objective is to strategically locate hubs and allocate non-hub nodes within the network. The modular hub location problem is a specific area of hub network design that focuses on accurately calculating transportation costs, considering factors like trip numbers and capacity constraints in network routes. This study proposes a mixed-integer programming model to address the modular hub location problem with multiple allocations. It considers dependent and independent costs associated with vehicles per trip between hub network routes, considering specific vehicle capacities. Two datasets are utilized for validation: the CAB dataset representing 25 nodes of US airports and the TR dataset representing the Turkish transportation system with 81 nodes. To tackle the NP-hard nature of hub location models and the computational complexity of the proposed model, two solutions are developed. Firstly, a novel LP relaxation-based method using GAMS software provides near-optimal solutions for medium-sized instances. Additionally, a Genetic Algorithm (GA) implemented in MATLAB handles larger instances. The GA's efficiency is enhanced by tuning its parameters using the Taguchi method. Results analysis shows that both proposed algorithms yield high-quality solutions within significantly reduced timeframes compared to the CPLEX solver in GAMS software. The LP relaxation-based method performs well for medium-sized instances, while the GA approach is efficient for larger instances after parameter tuning with the Taguchi method. DOI: 10.5267/j.jpm.2024.3.001 Keywords: Hub Network, Modular Hub Location Problem (MHLP), Mixed-Integer Programming (MIP), LP Relaxation-based Method, Genetic Algorithm (GA), Taguchi method
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