Cloud Computing as a Construction Collaboration Tool for Precast Supply Chain Management

2014 ◽  
Vol 70 (7) ◽  
Author(s):  
Mohammad Abedi ◽  
Norshakila Muhamad Rawai ◽  
Mohamad Syazli Fathi ◽  
Abdul Karim Mirasa

Precast construction projects are characterized by many activities, the involvement of numerous parties, a lot of effort and enormous processes. Precast supply chain phases are classified as: planning, design, manufacturing, transportation, installation and construction. Achieving integrated construction requires the parties within the precast supply chain phases to have efficient communication and effective collaboration to deliver proper and up-to-date information. The aim of this research is to explore cloud computing technology as the construction collaboration tool and to propose the cloud system architecture for precast supply chain management. The findings in this research are based on a comprehensive review of supply chain management, cloud computing and the precast industry. Findings illustrate that the major obstacles to precast construction are: poor planning and scheduling, less flexibility in design, production lead time, heavy precast components and poor on-site coordination. These obstacles could contribute to the negative consequences for the efficiency and effectiveness of precast project delivery. Therefore, cloud computing technology has valuable potential to mitigate these obstacles and deliver an effective collaboration system within the precast construction industry. 

2015 ◽  
Vol 773-774 ◽  
pp. 818-822 ◽  
Author(s):  
Mohammad Abedi ◽  
Norshakila Rawai ◽  
Mohamad Syazli Fathi ◽  
Abdul Karim Mirasa

The precast construction industry is associated with a lot of activities, vast effort, many parties and numerous processes. The parties involved in the precast supply chain including the planning, design, manufacturing, transportation, installation and construction should have efficient communication and access to precise and latest information contributing to the enhanced collaboration, sustainability and improving the integration. The aim of this study is to explore the collaboration tools with proposing the cloud system architecture for the precast supply chain management. The research findings are according to the comprehensive review of the literature on supply chain management, precast construction industry and cloud computing. Findings demonstrates the major problems within the precast supply chain phases comprised of poor planning, ineffective communications among designers and manufacturers, incompetent employees and damage to raw materials, large size and heavy precast components and the poor on-site coordination. These major problems within the precast supply chain phases could contribute to negative consequences on the efficiency, productivity and effectiveness of precast delivery. Therefore, to mitigate and overcome these major problems within the precast construction, the cloud computing implementation as the valuable alternative could be delivered to enhance the efficiencies and effectiveness of the collaboration systems. This research propose and establishes the concepts of valuable collaborative tools, for instance the Cloud Computing Information Systems (CCIS), for assisting the processes, activities, information and networks within the precast supply chain management through increasing the opportunities to attain higher competitive advantages. Initially, it is anticipated that this research will result to the enhanced collaboration in order to deliver more competitive advantages and increase the opportunities for the globalisation of the construction industry. Secondly, it proposes an effective technique to establish innovative visions, enhanced productivity, increased effectiveness, improve integration and sustainability leading to efficient collaboration within the construction industry.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Fuan Zhang ◽  
Zhenzhi Gong

With the development of economic globalization, the competition among enterprises is increasingly fierce. Therefore, companies need close information sharing to realize the integration of supply chain. This article aims to study the collaborative management and information sharing mechanism of supply chain inventory based on cloud computing and 5G Internet of Things. This article first introduces the theory and methods of collaborative supply chain management and the information exchange mechanism and then discusses the problem of information sharing in the supply chain, that is, the bullwhip phenomenon, and then from the demand forecast, supply chain structure, time lag, and shortage game, six aspects are analyzed. The cause of the bullwhip phenomenon is analyzed. Secondly, this article proposes a quantitative analysis of the bullwhip effect, establishes a mathematical model of the bullwhip effect in the supply chain, and uses quantitative analysis to analyze the value of information sharing in the supply chain. Finally, this article uses cloud computing technology to build a supply chain information collaboration system architecture and uses EPC Internet of Things to build a supply chain information sharing model and describes the entire operation process of the supply chain. The experimental results of this paper show that the application of cloud computing technology to supply chain management establishes a system platform for supply chain information sharing, improves the overall operational efficiency of supply chain management, and realizes supply chain information sharing and business collaboration. In addition, the operating costs and risks of each node enterprise in the supply chain are reduced by 12% compared with the nonsharing situation, which also shows that the overall benefits of the supply chain have been correspondingly improved and market competitiveness has been enhanced.


2016 ◽  
Vol 8 (4) ◽  
pp. 145 ◽  
Author(s):  
Bahjat Eid Al-jawazneh

Today’s world organizations are searching for ways to minimize the cost and maximize the efficiency of each cycle of their supply chain, such as procurement, manufacturing, and distribution, particularly for those that handle multiple supply chains. Cloud computing technology emerges as an effective tool that, according to some researches, contributes to firms’ effectiveness and competiveness by providing the right infrastructure and business solutions for the entire supply chain via the Internet. This study aims to shed more light on the prospects of cloud computing in supply chain management. More specifically, with focus on cloud computing’s suitability and benefits by offering a thorough review and analysis to previous and current research, including all types of published materials that lead to an adequate answer for the main research problem, as follows:What are the prospects and benefits of cloud computing technology in the supply chain of business organizations?This research method relies solely on secondary data, such as research papers, reference materials, conference proceedings, and all types of reliable data that serve the purpose of this paper.The major conclusion of this study is that; Organizations that work in a more turbulent environment are the ones that feel the effect of the cloud computing technology on their supply chain performance compared to those that work in a more stable business environment. Therefore, the degree of importance of cloud computing adoption varies from one sector to another, therefore, cloud computing—if adopted properly—can improve the supply chain performance in terms of cost, quality, speed, and flexibility.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ibrahim Yahaya Wuni ◽  
Geoffrey Qiping Shen

PurposeModular integrated construction (MiC) projects are co-created by a network of organizations and players providing different roles, information and activities throughout the supply chains. Hence, a successful delivery of MiC projects can hardly be decoupled from effective supply chain management (SCM). This study investigated the critical success determinants of effective SCM in MiC projects.Design/methodology/approachComprehensive literature research and expert review identified 20 candidate success determinants, which formed the basis for a structured questionnaire survey of experts in eighteen countries. The study computed the mean scores, normalized mean values and significance indices of success determinants for SCM in MiC projects.FindingsThe analysis revealed that design for SCM, effective communication and information sharing, organizational readiness and familiarity with MiC, seamless integration and coordination of supply chain, early involvement of critical supply chain stakeholders and extensive supply chain planning are the top five critical success determinants of effective SCM in MiC projects. The 20 success determinants are categorized into five: project strategy, bespoke competencies, process management, stakeholder management and risk management.Research limitations/implicationsThe study has some limitations. The smaller sample size could affect the generalizability of the results. The generalized analysis of the success determinants overlooked their sensitivities to specific contexts, industry climates and project types.Originality/valueThe study established a novel set of critical success determinants for SCM in MiC projects that have not been explicitly discussed in the MiC success literature and described their hypothetical dynamic linkages. It contributes to a better understanding of how best to manage the MiC project supply chain effectively.


Author(s):  
Marcus Tanque ◽  
Harry J Foxwell

Big data and cloud computing are transforming information technology. These comparable technologies are the result of dramatic developments in computational power, virtualization, network bandwidth, availability, storage capability, and cyber-physical systems. The crossroads of these two areas, involves the use of cloud computing services and infrastructure, to support large-scale data analytics research, providing relevant solutions or future possibilities for supply chain management. This chapter broadens the current posture of cloud computing and big data, as associate with the supply chain solutions. This chapter focuses on areas of significant technology and scientific advancements, which are likely to enhance supply chain systems. This evaluation emphasizes the security challenges and mega-trends affecting cloud computing and big data analytics pertaining to supply chain management.


2022 ◽  
pp. 137-168
Author(s):  
Saibal Kumar Saha ◽  
Sangita Saha ◽  
Ajeya Jha

An efficient supply chain management helps to increase the productivity of a business. Use of information technology and concepts like artificial intelligence, blockchain, and cloud computing have integrated the different aspects of supply chain with its stakeholders. Published literature in the field of SCM, IT, and the pharmaceutical industry has been reviewed, and different aspects of innovation, technique, risks, advancements, factors, and models have been taken into consideration to form a comprehensive chapter focusing on the role of information technology in the supply chain management of the pharmaceutical industry. The chapter finds that IT has made a significant impact in improving the efficiency of SCM. But its successful implementation and collaboration with other firms is the key to success for an efficient SCM. Within each category, gaps have been identified.


2015 ◽  
Vol 2 (2) ◽  
pp. 14-30 ◽  
Author(s):  
Dothang Truong

Cloud computing has been proven to have numerous benefits for organizations, especially in supply chain management. More and more organizations have adopted cloud-based solutions to be their primary sourcing applications. Nevertheless, this technology is not without challenges, and in order to deploy and implement cloud-based solutions successfully with minimal risks organizations need to have practical guidance on this emerging technology. Despite the rapid growth of cloud computing in supply chain areas, the existing literature is still conceptual, inadequate, and mainly focused on the pre-adoption stage of this technology. This research examines the post-adoption stage of cloud-based supply chain solutions from the decision science perspective and intends to provide organizations with practical guidance on how to ensure the efficiency of a cloud-based supply chain system and control risks associated with cloud-based solutions.


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