Predictive Analytics in Operations Management

2017 ◽  
pp. 1205-1223
Author(s):  
Harsh Jain ◽  
Amrit Pal ◽  
Manish Kumar

Operations management is a field of management which emphasizes on managing the day to day operations of business organizations. These organizations possess a huge amount of data which needs to be analysed for proper functioning of business. This large amount of data keeps some useful information hidden inside it, which needs to be uncovered. This information can be retrieved using predictive analytics techniques, which predict the patterns hidden inside the data. This data is heterogeneous, processing of such huge amount of data creates challenges for the existing technologies. MapReduce is very efficient in processing this huge amount of data. In the field of operation management, data needs to be processed efficiently, so it is highly required to process data using parallel computing framework due to its large size. This chapter covers different techniques of predictive analytics based on MapReduce framework which helps in implementing the techniques on a parallel framework.

Author(s):  
Harsh Jain ◽  
Amrit Pal ◽  
Manish Kumar

Operations management is a field of management which emphasizes on managing the day to day operations of business organizations. These organizations possess a huge amount of data which needs to be analysed for proper functioning of business. This large amount of data keeps some useful information hidden inside it, which needs to be uncovered. This information can be retrieved using predictive analytics techniques, which predict the patterns hidden inside the data. This data is heterogeneous, processing of such huge amount of data creates challenges for the existing technologies. MapReduce is very efficient in processing this huge amount of data. In the field of operation management, data needs to be processed efficiently, so it is highly required to process data using parallel computing framework due to its large size. This chapter covers different techniques of predictive analytics based on MapReduce framework which helps in implementing the techniques on a parallel framework.


2012 ◽  
Vol 576 ◽  
pp. 685-689 ◽  
Author(s):  
Gamawan Ananto

In ‘Bandung State Polytechnic for Manufacturing’ (POLMAN) Bandung as a vocational education institution, Production Base Education (PBE) is already implemented for years. Through this concept students are doing practical jobs that inquired by real customer from industries, with the Quality-Cost-Delivery (QCD) necessity as well. The student practical program schedule is made structurally, combined with theory and other needed contents according the planned competency for each study program in 3 years (6 semesters). Therefore, so far 2 weeks for practical and 1 week theory alternately is arranged and ran well. Students will then learn all about process and transformation of raw material to product included assembly, but they seem not enough experienced in Operation Management and integrating the related manufacture activities. There are feedbacks that POLMAN graduates have adequate capability in technical matters like designing, machining, fabrication etc. but few skills in managing could still be improved. In 321 program idea, students will get the first 3 semesters for basic matters needed, the next 2 semesters in integrated continually project program and the last 1 semester for finalization and the additional enrichment items. With this program, students will more concern and get better understanding in project handling comprehensively, integrating all related planning, relevancies among one process to others in order handling and manufacture activities, and be realized in controlling the milestone of supply chain component entities like vendor, logistic, production, sales and customer. The consequences in market and project matter preparation of course has to be highly anticipated.


2006 ◽  
Vol 17 (2) ◽  
pp. 199-223 ◽  
Author(s):  
Milind Kumar Sharma ◽  
Rajat Bhagwat

PurposeTo provide the outcome of information system (IS) related practice survey designed to identify current trends in Indian small and medium enterprises (SMEs).Design/methodology/approachThis research is exploratory in nature, a survey methodology is used for study and the focus of study is cross‐sectional. Two companies have been selected for detailed case studies. The objective of the study was to become more familiar through survey and information collected to one point in time. The methodology was based on a questionnaire survey and personal interviews.FindingsThe outcomes, based on a survey of 210 SMEs, reveal that though SMEs understand and acknowledge the importance of the IS in day‐to‐day operations management in the present dynamic and heterogeneous business environment but these are yet to implement, operate and exploit it fully in a formal and professional manner so as to enable them to derive maximum business gains out of it. SMEs are not found equipped adequately with the IS resources to suit their needs.Research limitations/implicationsThe target of the study is the SMEs operational in the western part of India and hence it has the limitation in terms of the scope. However, the overall results are encouraging with 70 percent response rare in the survey and underline the need for more such studies. The results have implications for all managers responsible for IS, any SME in the era of globalization.Originality/valueThe paper presents IS‐related practices going on in Indian SMEs. Findings reported in the paper provide SMEs operators the utility of IS in day‐to‐day business operations.


2017 ◽  
Vol 13 (7) ◽  
pp. 155014771771786 ◽  
Author(s):  
Youngki Park ◽  
Hyunsik Yang ◽  
Thanh Dinh ◽  
Younghan Kim

Interactive digital signage is an important Internet of things application and has been becoming a common type of human–machine interface for multiple users. By integrating with wireless sensor networks, a digital signage system can provide smart features and on-demand contents to users. However, the performance of current interactive digital signage systems depends heavily on the server. An increasingly high number of digital signage clients and sensor devices attached to the system generating a huge amount of traffic flowed to the server may create bottleneck, management and scalability issues at the server, especially in large-scale digital signage systems. In addition, the current system requires application installation and configuration at the client side, thus leading to a high cost and complexity of deployment as well as management. This article proposes and implements a container-based distributed virtual client architecture for interactive digital signage to solve the above issues. In the proposed architecture, a number of digital signage clients and Internet of things devices are virtualized and managed by a container-based middleware. Each container-based middleware is responsible to manage and process data for a cluster of digital signage clients and corresponding Internet of things devices to (1) reduce load to server and improve the service performance and (2) enable lightweight clients to reduce cost and complexity in deployment as well as management. Implementation and obtained analysis results show the advantages of the proposed architecture.


Shared services have been widely used in many organizations as an alternative to outsourcing. For shared services, common services are standardized and consolidated across multiple organizations to reduce the operational cost and to increase information and knowledge sharing. Two major advantages of shared services over outsourcing are long-term stable cost-saving and knowledge sharing. One important aspect of successful operations management of shared services is to ensure the quality of services delivered by a shared service provider to each individual partner organization. This paper proposes a performance predictive analytics framework for operations management of shared services. The paper presents a case study to demonstrate the usefulness and effectiveness of this framework.


EDIS ◽  
2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Aditya Singh ◽  
James Fletcher

Unmanned aerial systems (UASs, UAVs, or drones) have emerged as an important tool for farmers, Extension agents, and landowners to map, monitor, and manage their properties. This 5-page publication provides an overview of the primary components of typical UASs to help growers, landowners, and/or Extension agents who want to configure and/or purchase a UAS or sensor system for agricultural operations. This document is one of a three-part series focusing on the applications, configuration, and best practices for using UASs in agricultural operations management. Written by Aditya Singh and James Fletcher, and published by the UF/IFAS Department of Agricultural and Biological Engineering, February 2021.


2019 ◽  
Vol 20 (5) ◽  
pp. 932-950 ◽  
Author(s):  
Albert Mawonde ◽  
Muchaiteyi Togo

Purpose The purpose of this paper is to demonstrate how universities can play a pivotal role in implementing sustainable development goals (SDGs). It recognises the advantage that universities have in responding to social challenges through their functions and operations, mainly through research and innovation and academic prowess. Not much guidance is available on how they can contribute to SDG implementation. The research is a case study of the University of South Africa, a distance education institution. It showcases how its science campus in Johannesburg has incorporated SDGs in its operations. Design/methodology/approach Data were collected through interviews with campus operations managers and sustainability office managers, a survey with environmental science honours students was conducted and observations of the Unisa Florida campus environment were undertaken to establish practices that contribute towards SDG implementation. Document analysis assisted in complementing the data collection process. Data were analysed by aligning practices with SDG indicators. Findings The research revealed a number of practices that align with SDGs in teaching, research, community engagement and campus operations management. Unisa is however challenged by financial limitations and as an open distance education and learning (ODeL) institution, it struggles to involve students in these projects. The paper concludes that while the most obvious contribution of universities to SDGs is towards quality education (SDG 4), higher education, including distance education institutions, can play an active role in implementing other SDGs as well. Research limitations/implications This research was limited to one institution, Unisa, owing to time limitations. While this might seem like the research was too selective, it was intentional, as the aim was to research a distance education institution. The research targeted staff involved in campus operations at Unisa’s Florida Campus, which is located in Johannesburg. Interviews were limited to students pursuing BSc Honours in Environmental Management. This was a methodological decision to contain the research, but making sure that the targeted respondents were the most informed. Individual case studies are often critiqued for being insufficiently representative to allow generalisations to other contexts (Jupp, 2006). This applies to this research in terms of “populations and universes” (Yin, 2003, p. 10), but generalisations to “theoretical propositions” (ibid) are possible. Originality/value There are few studies in Africa which researched implementation of SDGs in universities, let alone in ODeL institutions. The research revealed the challenge of involving students in sustainability practices in distance education institutions and serves as a testimony that such institutions can still have successful projects on and off campus. It suggests involving students in applied research based on the current sustainability projects on and off campus.


2019 ◽  
Vol 17 (Suppl.1) ◽  
pp. 371-377
Author(s):  
Vyara Milusheva

Organizational design is a field that is being increasingly recognized by both managers and scholars. It has undoubtedly been the subject of numerous theoretical papers. The same however cannot be said about the practical application of the proposed theoretical approaches aimed to establish the organizational level of companies and its improvement. The purpose of this article is to present an approach and methodological bases capable of establishing companies’ organizational level by developing the so called “organizational profiles”. The proposed approach is based on a quantitative assessment method using organizational parameters shown to be significant. These are used as grounds for identifying “problematic areas” and possibilities to overcome such areas. The organizational profile also demonstrates the extent to which the company management has chosen the appropriate strategy for organizing its processes and operations in terms of functions. The results from applying the method for developing company's organizational profile are related to the improvement in the organization of the ongoing processes in the company as a whole. This method can be used in the day-to-day operations of business organizations in their pursuit of an improved organizational level.


2012 ◽  
Vol 253-255 ◽  
pp. 2237-2241
Author(s):  
Chang Liu ◽  
Bin Li ◽  
Qi Chu Chen ◽  
Jing Yi Lin

Obtained requirements by analysis of the business functions of the electric vehicle operations management to form four types of applications, and then design the physical architecture and logical architecture of electric vehicle operations management system(EVOMS), adopted the three level management system, fully construct operation monitoring system of support electric vehicle smart charging and battery swapping service network.


Sign in / Sign up

Export Citation Format

Share Document