Global warming is an alarming issue for the whole humanity. The manufacturing and food supply chains are contributing significantly to the large-scale carbon emissions. Beef supply chain is one of the segments of food industry having considerable carbon footprint throughout its supply chain. The major emissions are occurring at beef farms in the form of methane and nitrous oxide gases. The other carbon hotspots in beef supply chain are abattoir, processor, logistics and retailer. There is a huge amount of pressure from government authorities to all the business firms to cut down carbon emissions. The different stakeholders of beef supply chain especially small and medium-sized stakeholders, lack in technical and financial resources to optimize and measure carbon emissions at their end. There is no integrated system which can address this issue for the entire beef supply chain. Keeping the same in mind, in this paper, an integrated system is proposed using Cloud Computing Technology (CCT) where all stakeholders of beef supply chain can minimize and measure carbon emission at their end within reasonable expenses and infrastructure. The integrated approach of mapping the entire beef supply chain by a single cloud will also improve the coordination among its stakeholders. The system boundary of this study will be from beef farms to the retailer involving logistics, abattoir and processor in between. The efficacy of the proposed system is demonstrated in a simulated case study. KeywordsCarbon footprint, beef supply chain, cloud computing technology (CCT) Disciplines Engineering | Science and Technology StudiesPublication Details Singh, A., Mishra, N., Ali, S., Shukla, N. & Shankar, R. (2015) Abstract Global warming is an alarming issue for the whole humanity. The manufacturing and food supply chains are significantly contributing to the large scale carbon emissions. Beef supply chain is one of the segments of food industry having considerable carbon footprint throughout its supply chain. The major emissions are occurring at beef farms in the form of methane and nitrous oxide gases. The other carbon hotspots in beef supply chain are abattoir, processor, logistics and retailer. There is huge amount of pressure from government authorities to all the business firms to cut down carbon emissions. The different stakeholders of beef supply chain especially small and medium sized stakeholders, lack in technical and financial resources to optimize and measure carbon emissions at their end. There is no integrated system, which could address this issue for the entire beef supply chain. Keeping the same in mind, in this paper, an integrated system is proposed using Cloud Computing Technology (CCT) where all stakeholders of beef supply chain can minimize and measure carbon emission at their end within reasonable expenses and infrastructure. The integrated approach of mapping the entire beef supply chain by a single cloud will also improve the coordination among its stakeholders. The system boundary of this study will be fr...

Motivation: In the modern computing and business world computerization, automation and Enterprise Resource Planning (ERP) system has become the backbone in both public and private sector organizations throughout the world. IT departments in organizations are playing major role in controlling the financial activities, procedures, business, and administrative operations. Problem: In this study, we have analyzed and examined the major issues which an organization could face while starting the ERP project. Objectives: This study will also discuss the significant elements which are crucial for an organization when they move towards the ERP system. Adopting the ERP system for an organization is not only a highly difficult task, but is also an expensive process. Therefore, the organization cannot afford the failure of this implementation plan. Solutions: Moreover, this study is also about the solutions regarding management and administrative plans as well as it helps to design comprehensive controls and procedures for the ERP system implementation project. The issues in the structure, functions, culture, human resource, and procedures of organizations are focused on the study and discussion is made to find out the solutions to control these issues during the implementation process. The study covers the issues regarding implementation plans, project management, and selection or designing of these systems and determines the role of different teams and workforce during the implementation process and after carrying out the process in the business environment.

No abstract

No abstract

In modern world, manufacturing processes have become very complex because of consistently fluctuating demand of customers. Numerous production facilities located at various geographical locations are being utilized to address the demands of their multiple clients. Often, the components manufactured at distinct locations are being assembled in a plant to develop the final product. In this complex scenario, manufacturing firms have to be responsive enough to cope with the fluctuating demand of customers. To accomplish it, there is need to develop an integrated, dynamic, autonomous system. In this article, a self-reactive cloud based multi agent architecture for distributed manufacturing system is developed. The proposed architecture will assist manufacturing industry to establish real time information exchange between the autonomous agents, clients, suppliers and manufacturing unit. The mechanism described in this study demonstrates how the autonomous agents interact with each other to rectify the internal discrepancies in manufacturing system. It can also address the external interferences like variations in client's orders to maximise the profit of manufacturing firm in both short and long term. Execution process of proposed architecture is demonstrated using simulated case study.