Resource-constrained time–cost-quality-energy-environment tradeoff problem by considering blockchain technology, risk and robustness: a case study of healthcare project

Lotfi, Reza; Kargar, Bahareh; Gharehbaghi, Alireza; Hazrati, Hanif; Nazari, Sima; Amra, Mohsen

doi:10.1007/s11356-022-20334-7

Cited by 39 publications

(11 citation statements)

References 38 publications

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“…Chain. In recent years, the application of blockchain technology in supply chain research has attracted the attention of many researchers [29]. Saberi et al [30] found that blockchain technology can break the information barriers between supply chain enterprises and play a positive role in promoting the innovation of supply chain fnance.…”

Section: Applications Of Blockchain Technology In the Supplymentioning

confidence: 99%

Research on the Coordination of Fresh Food Supply Chain Based on the Perspective of Blockchain and Low Carbon

Chen

Yin

2023

Discrete Dynamics in Nature and Society

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We consider a three-stage fresh agricultural product supply chain consisting of a supplier, a third-party logistics service provider (TPLSP), and a retailer and discuss the coordination mechanism of “revenue sharing + double cost sharing” contracts and “two-part tariff + revenue sharing + double cost sharing” contracts between the supplier, TPLSP, and the retailer. Based on this, we not only explore the conditions for supply chain full coordination and Pareto improvement but also analyze the effect of blockchain technology application cost, consumer environmental protection awareness, freshness preference, green trust level on carbon emission reduction level, fresh-keeping effort level, price decisions, and profits by comparing three different decision-making models. Results show that the improvement of the green trust level can help to improve the carbon emission reduction level, fresh-keeping effort level, price decisions, and profits. The application of blockchain technology can reduce transaction costs and improve consumer green trust levels, thereby increasing market demand and profits. When environmental protection awareness and freshness preference are higher than a certain value, the unit retail price of fresh products under decentralized decision-making is the highest with the blockchain technology applied. TPLSP can increase the wholesale, service, and retail prices of fresh products by appropriately increasing the blockchain technology application cost-sharing ratio. When 15 < T 1 < 29.2416 and 47 < T 2 < 66.0408 , “two-part tariff + revenue sharing + double cost sharing” contracts can achieve the Pareto improvement.

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Section: Applications Of Blockchain Technology In the Supplymentioning

confidence: 99%

Research on the Coordination of Fresh Food Supply Chain Based on the Perspective of Blockchain and Low Carbon

Chen

Yin

2023

Discrete Dynamics in Nature and Society

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“…ey believe it is essential to apply BCT in supply chain network design (SCND) and is considered by the designer and manager of a supply chain. For this, Lotfi et al [11] presented a survey applicable blockchain technology (BCT) in project management for the first time. For this purpose, a resource-constrained timecost-quality-energy-environment tradeoff problem is presented by considering BCT, risk, and robustness (RCTCQEETPBCTRR) in project scheduling.…”

Section: Literature Reviewmentioning

confidence: 99%

Human Resource Scheduling in Project Management Using the Simulated Annealing Algorithm with the Human Factors Engineering Approach

Zadeh

Movahedi

Shayannia

2022

Discrete Dynamics in Nature and Society

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Manpower scheduling means assigning a work pattern (shift day) according to the wants and needs of the system and the workforce with the goal of minimum cost. Many production and service systems require multiple scheduling. This problem is generally NP-complete, and it takes a long time to solve it through the current method. Today, several innovative methods have been proposed to solve such problems. In this paper, the simulated annealing method (SA) has been used. The problem in this study is in an oil extraction project for human resource scheduling, which consists of three human resource groups in four task types in oil exploration operations, including geology, geophysics, petrophysics, and oil engineering. To solve the human resource scheduling problem, a meta-heuristic algorithm called simulated annealing algorithm was applied, and the result indicated that the allocated human resource was scheduled with the least fatigue implementing the proper job rotation.

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“…In recent years, scholars have investigated the sustainability issue by providing the usage of renewable energy for various fields [7][8][9][10][11], and energy consumption performance [12][13][14] of residential buildings and implemented Artificial Intelligence (AI) techniques for predicting energy consumption [15,16]. Numerous AI and statistical methods for inverse building energy consumption for cooling and heating have been implemented.…”

Section: Literature Revi̇ewmentioning

confidence: 99%

Smart Estimation Model for Energy Performance Certificates of Residential Buildings

Namlı

Yücel²,

Ünlü³

et al. 2022

JER is an international, peer-reviewed journal that publishes f

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The wasted amount of energy has become a critical problem for many countries due to limited energy sources and energy production costs. These forced countries to increase energy usage awareness by making regulations in the construction sector, which might dramatically decrease energy consumption cause of the size of the domain. One of them is standardizing heating and cooling loads (HL/CL) to avoid energy waste. HL and CL need an advanced engineering process because of different parameters such as the thermal characteristics of the building, hot water supply, passive solar systems, etc. Hence, it can only be carried out by expert engineers in calculations. In this paper, a classification model as the decision support system is proposed for predicting the energy consumption of residents which is an efficient indicator of architectural features of the construction about energy consumption concept. The data is collected from architectural projects and energy performance certificates. Multilayer Perceptrons, Bagging, and Random subspace are used to predict the energy class of buildings. Based on findings, the most accurate results were achieved by Bagging. Moreover, main input features affecting the prediction performance of HL were revealed and classification success was observed.

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Resource-constrained time–cost-quality-energy-environment tradeoff problem by considering blockchain technology, risk and robustness: a case study of healthcare project

Cited by 39 publications

References 38 publications

Research on the Coordination of Fresh Food Supply Chain Based on the Perspective of Blockchain and Low Carbon

Research on the Coordination of Fresh Food Supply Chain Based on the Perspective of Blockchain and Low Carbon

Human Resource Scheduling in Project Management Using the Simulated Annealing Algorithm with the Human Factors Engineering Approach

Smart Estimation Model for Energy Performance Certificates of Residential Buildings

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