Modelling Supply Chain Information Collaboration Empowered with Machine Learning Technique

Ali, Naeem; Ahmed, Alia; Anum, Leena; Ghazal, Taher M.; Abbas, Sagheer; Khan, Muhammad Adnan; Alzoubi, Haitham M.; Ahmad, Munir

doi:10.32604/iasc.2021.018983

Cited by 154 publications

(42 citation statements)

References 13 publications

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“…Linear regression, logistic regression, Artificial neural networks (ANN), decision tree, random forest, naïve bayes, k-nearest neighbors, k-means, and support vector machines (SVM) are examples of common machine learning techniques [27]. Machine learning is the foundation for increasing computer intelligence and is at the heart of artificial intelligence [28].  Data mining techniques: The process of predicting outputs by looking for patterns, outliers, anomalies, and correlations in big data sets [29].…”

Section: Big Data Analytics In Iot-enabled Gscm 31 Big Data Analyticsmentioning

confidence: 99%

Statistical techniques for big data analytics in IoT-enabled green supply chain management: a survey

Saleha

Abdelkaderb

Rashada

et al. 2023

المجلة العربية للقياس والتقويم

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In the manufacturing operation, intelligent Supply Chain Management systems (SCMS) can improve the quality of products, reduce cost, and accelerate the decision making process. The incorporation of environmentally sustainable processes into SCMS minimizes the overall environmental impact which is the target of Green Supply Chain Management (GSCM). The intelligence of the GSCM systems makes the business smarter. For this reason, it is always a concern to utilize cutting-edge ideas and technologies to optimize the operation of these systems. Internet of Things (IoT) is a promising Information technological (IT) concept that allows environmental objects to communicate with each other automatically and without human intervention. IoT is one of the most important IT solutions that provides intelligence and sustainability to GSCM systems. The significant feature of IoT is the huge volumes of data, called "big data" generated by the IoT sensors, installed on the different entities of the chain. To this end, big data processing in real time is a need for decision makers to preserve their companies" competitive advantage. There are many big data analytics techniques in the literature to target this issue. Our work will focus on surveying the statistical techniques that can be used in the analysis of big data generated from the IoT sensors situated on the different parts of GSCM to

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Section: Big Data Analytics In Iot-enabled Gscm 31 Big Data Analyticsmentioning

confidence: 99%

Statistical techniques for big data analytics in IoT-enabled green supply chain management: a survey

Saleha

Abdelkaderb

Rashada

et al. 2023

المجلة العربية للقياس والتقويم

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show abstract

“…In this paper, focus is on both the mental and psychological preparation of the little Sheikhs (or children of the Sheikh), including several traditional approaches, such as allowing children to attend the Sheikh (father) daily meeting (called in Arabic the Majlis) [113] [12]. In the Majlis, the Sheikh, with other senior members or experts of the tribe, holds an open discussion forum to listen to people's concerns and complaints and discuss the tribe's daily and strategic challenges, e.g., scarcity of food and relationship with other tribes and it was allowed for any individual to attend and put forward views for discussion and consideration [114] [29].…”

Section: 1the Idealized Influence (Charisma)mentioning

confidence: 99%

“…On the contrary, oil is a dam to some Arab countries as many Arab leaders misused this resource leading to many conflicts and wars. Also, the UAE leadership is acknowledged globally [12] [13]. For instance, the Indian Prime Minister Narendra Modi, during a discovery, appreciative, or learning visit to the Emirates [14] [15], had fulsome praise for the country for its foresighted and forward nature and its founding and present-day UAE leadership [16][17] [18] [19].…”

Section: Introductionmentioning

confidence: 99%

The Transformational Leadership of the Founding Leaders of the United Arab Emirates: Sheikh Zayed Bin Sultan Al Nahyan and Sheikh Rashid Bin Saeed Al Maktoum

Ahmed¹,

Amiri

2022

Int. J. TIM

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Transformational leadership is the leader's ability to communicate and behave in ways that elevate the interests of their followers and stir them to look beyond their self-interest for the benefit of the group. Transformational leaders achieve these results by having four characteristics, i.e., idealized influence, inspirational motivation, intellectual stimulation, and individualized consideration. This paper explores the transformational leadership of the UAE founders since 1971, mainly, Sheikh Zayed bin Sultan Al Nahyan and Sheikh Rashid bin Saeed Al Maktoum. The UAE leadership is the main success story of the transformation of the seven Arab Emirates from the sporadic emirates into one country from the last 50 years, the most developed and influencing country among Arab and the middle east countries. Also, the country achieved many initiatives at the global level, including becoming a global business hub. The UAE leaders set an efficient Arab leadership model for the Arab lands to rise to the global level. This leadership model is worth purring and evaluating for leadership values, lessons and being global with human concerns.

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“…Each member is highly qualified and trained for the task assigned [43]. While each member has the freedom to choose his own task, the team must ensure smooth execution of the process from initial phase to its final practical implementation in the market [44].…”

Section: Literature Reviewmentioning

confidence: 99%

Extreme Programming vs Scrum: A Comparison of Agile Models

Akhtar¹,

Bakhtawar²,

Akhtar³

2022

Int. J. TIM

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For past couple of years agile software methods have been quite popular among the researchers. Agile models are known as light weight in contrast with conventional software development methodologies, due to their casual, versatile and adaptable style. Agile frameworks became heartily accepted by the software society in view of their concentration towards timely software conveyance, product quality and user satisfaction. For the fulfillment of requirements and needs of different software projects multiple agile frameworks are present to choose from. Out of these models Extreme Programming and Scrum are the most recognizable and generally utilized frameworks. This research contributes by investigating these two frameworks thoroughly. This paper conducts a comprehensive comparison between Scrum and Extreme programming to track down their commonalities, dissimilarities and investigate those attributes which complement each other.

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Modelling Supply Chain Information Collaboration Empowered with Machine Learning Technique

Cited by 154 publications

References 13 publications

Statistical techniques for big data analytics in IoT-enabled green supply chain management: a survey

Statistical techniques for big data analytics in IoT-enabled green supply chain management: a survey

The Transformational Leadership of the Founding Leaders of the United Arab Emirates: Sheikh Zayed Bin Sultan Al Nahyan and Sheikh Rashid Bin Saeed Al Maktoum

Extreme Programming vs Scrum: A Comparison of Agile Models

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