Robust goal programming approach for healthcare network management for perishable products under disruption

Hasani, Aliakbar; Sheikh, Reza

doi:10.1016/j.apm.2022.12.021

Cited by 13 publications

(3 citation statements)

References 49 publications

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“…Vibahakar et al [29] studied the financial performances of the Indian construction companies using exploratory factor analysis. GP model is simple yet powerful and has been applied in healthcare [30], [31], food and beverages [32], energy [33], [34], logistics and transportation [35], [36], portfolio optimization [37], [38] and education [39]. This paper shall examine the financial performances of the construction companies with GP model.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Performance of Construction Companies using Goal Programming Model

Lam,

Lee,

Lam

et al. 2023

E3S Web Conf.

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The construction industry is the driver to the social and economic development of a country. However, the construction industry is capital intensive and resource-reliance with high risk. These characteristics of the construction industry show high vulnerability to financial uncertainties. Therefore, this paper aims to examine the financial performance of the construction companies in Malaysia with goal programming (GP) model. This paper found that ECONBHD, GADANG, and MELATI have high liabilities while GADANG and MELATI have low profits. The powerful GP model has highlighted that the construction companies have high liquidity and solvency risks and could face problems to sustain their operations. This study could help the companies to determine the decremental and incremental values to reach the benchmark values for better financial performance.

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Section: Introductionmentioning

confidence: 99%

Optimizing the Performance of Construction Companies using Goal Programming Model

Lam,

Lee,

Lam

et al. 2023

E3S Web Conf.

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“…Companies are moving away from supply chains dependent on prediction and reaction and are transitioning towards becoming more intelligent. Therefore, we are witnessing a shift from competition among organizations to competition among supply chains [2]. In traditional supply chains, there were few products and low productivity, high-risk working conditions, high production costs, and a long time for the product to enter the market.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Evaluation Model for Smart Supply Chain Based on The Hybrid Multi-Criteria Decision-Making Method

Vahidinia,

Hasani

2023

J. Soft. Comput. Decis. Anal.

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Enhancing the smartness of the supply chain under the influence of information technology development at different levels can have a significant effect on its overall performance and a favorable response to the continuous changes in the business environment in the wide network of local and global supply chains. Therefore, in this study, the important and influential aspects of supply chain smartness have been investigated via a comprehensive assessment model. Then, evaluation criteria are prioritized using the new combined multi-criteria decision-making method. For this purpose, the supply chain of Iran Khodro Company has been considered as a case study. The identification and selection of assessment criteria are based on the literature review and experts' opinions via the Delphi method. Then, by using the developed best-worst group fuzzy method, the final prioritization of the criteria has been proposed. Finally, the evaluation of smartness improvement solutions is proposed by using the Vikor method. The main obtained results indicate the importance of cost, technology, security, customer relationship management, and agility criteria.

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“…The goals are soft constraints with deviations to note the incremental or decremental amount to reach the constraints [18,19]. The positive and negative deviations would be minimized, which then forms the objective function of the study [20]. GP model has received great popularity in portfolio optimization [21][22][23][24], site selection [25][26][27], energy planning [28][29][30], and supply chain management [31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Evaluation on the performance of highway companies using goal programming model

Siew¹,

Lee²,

Lam³

2023

E3S Web of Conf.

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Highway companies engage in projects with governments through the concession model in which the governments’ aim is in fulfilling public interest while the highway companies aim to increase their financial stability. However, highway companies face various operational risks that would impede their financial excellency. Therefore, this paper aims to assess the financial performances of the highway companies with the goal programming (GP) model. The GP model is a powerful tool in solving multi-objective issues. This paper studies the listed highway companies, namely LITRAK, TALIWRK, and EDGENTA from 2017 to 2022 using financial data. Based on the optimal solution of GP model, all three companies have reached the goals for assets, equities, and optimum management items. LITRAK, TALIWRK, and EDGENTA have underachievement for the goal of liability management. The GP model has identified the potential improvements for these highway companies for further improvement based on the benchmark values.

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Robust goal programming approach for healthcare network management for perishable products under disruption

Cited by 13 publications

References 49 publications

Optimizing the Performance of Construction Companies using Goal Programming Model

Optimizing the Performance of Construction Companies using Goal Programming Model

A Comprehensive Evaluation Model for Smart Supply Chain Based on The Hybrid Multi-Criteria Decision-Making Method

Evaluation on the performance of highway companies using goal programming model

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