TECHNOLOGICAL ADVANCEMENTS CHANGING THE TRADITIONAL APPLICATIONS OF OPERATIONS MANAGEMENT.

Autor: Kumar, Ankur, Gandhi, S. Jimmy
Předmět:
Zdroj: Proceedings of the 2017 International Annual Conference of the American Society for Engineering Management; 2017, p1-10, 10p
Abstrakt: Operations Management (OM) is a multi-disciplinary domain that emphasizes administering all facets of an organization's operations (Product, Process, Quality Improvement and tools). Previously, it had been primarily alluded to the manufacturing industry and was originally known as production management. However, over the last two decades, organizations have applied principles of Operations Management to areas such as marketing, logistics, supply chain, information technology as well as human resources. Due to technical advancements, gone are the days where human resources are required for information to flow. The development in communication systems has changed the work environment in private and public sectors, and is a key factor in the emergence of internet based technologies. This provided a new platform for Operations Management to fulfill the supply and demand of their customers seamlessly. With these technological furtherance, new tools and concepts have been created, which enhance organizational operations in the areas of supply chain and customer relationship managements. These developments also help in the evolution of new key performance indicators (KPIs) for organizations. In this paper, the authors focus on how the internet and information technology have revolutionized traditional approaches to Operations Management in the e-commerce domain, and caused a shift towards a holistic vision of business models. This vision has implications for supply chain management, production planning and scheduling, product Lean operation, lean six-sigma methodology, information-based strategy, Information technology system, risk and environmental management. The paper will investigate in future trends mentioned above by providing observations, a cause and effect model, and a predictive framework of future developments in the field. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index