A framework for sustainability evaluation and improvement of radiology service

Benmamoun, Zoubida; Fethallah, Widad; Bouazza, Samia; Abdo, Ahmad M. Abu; Serrou, Driss; Benchekroun, Houda Taoudi

doi:10.1016/j.jclepro.2023.136796

Cited by 9 publications

(3 citation statements)

References 26 publications

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“…As a result, this global design has been able to contribute to a competitive advantage in terms of cost-cutting and a reduction in operating cost, particularly in the current environment of fierce competition and globalization, engaged consumers, and high inventory revolutions. However, the latter impacts the environment through high emission rates [80]. Consequently, increasing public attention to climate change and corporate social and societal responsibility including greenhouse gas emissions, quality of life, and job creation has led to the advent of sustainable supply chain management [81][82][83].…”

Section: Sustainable Lot Size Optimizationmentioning

confidence: 99%

Butterfly Algorithm for Sustainable Lot Size Optimization

Benmamoun,

Fethallah,

Ahlaqqach

et al. 2023

Sustainability

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The challenges faced by classical supply chain management affect efficiency with regard to business. Classical supply chain management is associated with high risks due to a lack of accountability and transparency. The use of optimization algorithms is considered decision-making support to improve the operations and processes in green manufacturing. This paper suggests a solution to the green lot size optimization problem using bio-inspired algorithms, specifically, the butterfly algorithm. For this, our methodology consisted of first collecting the real data, then the data were expressed with a simple function with several constraints to optimize the total costs while reducing the CO2 emission, serving as input for the butterfly algorithm BA model. The BA model was then used to find the optimal lot size that balances cost-effectiveness and sustainability. Through extensive experiments, we compared the results of BA with those of other bio-inspired algorithms, showing that BA consistently outperformed the alternatives. The contribution of this work is to provide an efficient solution to the sustainable lot-size optimization problem, thereby reducing the environmental impact and optimizing the supply chain well. Conclusions: BA has shown that it can achieve the best results compared to other existing optimization methods. It is also a valuable chainsaw tool.

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Section: Sustainable Lot Size Optimizationmentioning

confidence: 99%

Butterfly Algorithm for Sustainable Lot Size Optimization

Benmamoun,

Fethallah,

Ahlaqqach

et al. 2023

Sustainability

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“…Fourthly, this article will offer insights into recent technological advancements and industry practices that can be applied effectively within the traditional shipbuilding context. Fifthly, it will emphasize the pivotal role of sustainability aspects [48] in optimizing the TSI. By providing practical guidance and novel insights, this article endeavors to empower the TSI in its pursuit of improved manufacturing cycle efficiency and enhanced production process performance.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Manufacturing Cycles to Improve Production: Application in the Traditional Shipyard Industry

Jebbor,

Benmamoun,

Hachimi

2023

Processes

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This article explores the important role of traditional shipyards in the global maritime industry, covering aspects of construction, repair, and maintenance. With the advent of faster manufacturing techniques, traditional shipyards face important challenges, such as planning errors, coordination problems, delivery delays, and underutilization of technology, which results in high costs, reduced productivity, and prolonged projects. The application of Manufacturing Cycle Efficiency (MCE) emerged as an important solution to significantly increase production efficiency. MCE empowers shipyards to deal effectively with waste, bottlenecks, and disruptions, thereby increasing performance, competitiveness, and profitability. Using a comprehensive approach that uses both qualitative and quantitative methods, including field surveys, and in-depth interviews in the traditional shipyard industry, this research identifies Nonvalue-Added (NVA) processes, conducts process mapping, and calculates MCE. The findings reported in this article underscore the significant wastage in the production process, indicating an urgent need for improvement, given the current average MCE value of 67.08%, indicating considerable room for improvement. This article provides innovative perspectives on optimizing the traditional shipyard industry through production cycle efficiencies while offering actionable recommendations. Key focus areas include integrating management systems, adopting advanced technologies, and implementing sustainable strategies to improve MCE, especially by reducing nonvalue-added time wastage, such as inspection and storage. By implementing strategies that optimize production, minimize waste, and overcome the challenges of global competition, this research contributes to improving MCE. In conclusion, this study is an invaluable guide for industry stakeholders, enabling them to enhance their competitiveness and adapt effectively to a dynamic business environment.

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“…The main research question is how the Lean Six Sigma approach can reduce the waiting time for radiology services at the hospital (Rezazade Mehrizi et al, 2021;Vella et al, 2022). The purpose of the study in general is to reduce the waiting time for radiology services, with specific objectives involving the identification of process flows, measurement of time needed, determination of bottlenecks, analysis of activity variants, and causes of obstacles and waste in the waiting time process for radiology services at Krakatau Medika hospital (Amaratunga & Dobranowski, 2016;Benmamoun et al, 2023;Dowell et al, 2017;Karstoft & Tarp, 2011;Rawson et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Lean Six Sigma Approach for Wait Time Analysis in Radiology Services at Krakatau Medika Hospital

Nur Fadhilah,

Ayubi

2023

devotion

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Krakatau Medika Hospital (RSKM), an integral part of Indonesia Healthcare Corporation (IHC), grapples with challenges in radiology services and wait time standards. Amidst the surge in healthcare facilities, IHC, overseen by PT Pertamina Bina Medika, strategically plans Lean Six Sigma implementation to enhance radiology quality, efficiency, and customer satisfaction. Non-Communicable Diseases (NCDs) complexities. The research methodology adopts a qualitative approach, incorporating process flow observations, document reviews, and in-depth interviews at the Radiology Installation of Krakatau Medika Hospital. Data collection involves direct observations, in-depth interviews, and research instruments with various stakeholders. The study, encompassing January to July 2023, reveals RSKM's radiology indicators falling short, with excessive wait times jeopardizing service effectiveness. The Lean Six Sigma approach, utilizing the DMAIC methodology, aims to eliminate waste, improve processes, and enhance organizational performance. Findings emphasize the urgency for improvements, with Lean Six Sigma anticipated to play a pivotal role in reducing wait times and overall performance enhancement. Ethical considerations guide the research, ensuring informed consent and confidentiality. Collaborative efforts with RSKM management are vital for sustained positive outcomes. The study underscores Lean Six Sigma's potential benefits, emphasizing ethical healthcare research principles

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A framework for sustainability evaluation and improvement of radiology service

Cited by 9 publications

References 26 publications

Butterfly Algorithm for Sustainable Lot Size Optimization

Butterfly Algorithm for Sustainable Lot Size Optimization

Optimizing Manufacturing Cycles to Improve Production: Application in the Traditional Shipyard Industry

Lean Six Sigma Approach for Wait Time Analysis in Radiology Services at Krakatau Medika Hospital

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