Locomotive Scheduling for passenger carrying trains LOCOLOGIC® is a web based software hosted in cloud which provides loco schedules to work the train services as per pre defined timetable. This application is being deployed in one of the largest railway networks in the world. Different types of locomotives which are maintained in different loco sheds should run according the schedule so that all the train services are covered, and mechanical maintenance is done when due. When timetable changes we can quickly make new loco schedules.
Crew scheduling for passenger carrying trains CREWLOGIC™ is a web based software which is used to schedule crew for passenger carrying trains. Crew optimization saves huge revenue for a railroad.a decision support system to make locomotive links is also ready. We can save more than 100 locomotives with it. Our third product, which will enable all the goods trains to run on predetermined schedule, is also in the pipeline. CREWLOGIC, helps non-mathematicians to optimize crew links. It has user friendly interface. It gives and optimal solution but users can choose sub optimal options if that is needed. It is hosted on cloud and can be accessed from any computer with internet connection. The user need not buy any hard-ware and any other software. For ease of use the railway time tables is pre loaded in the application. This product is awaiting patent protection. This is pure INNOVATION by STARTUP INDIA for a progressive India.
Physical device and software
for image comparison and defects
When a car is taken for repair the supervisor takes details of dents etc this can be done automatically When a railcar goes to mechanical maintenance workshop its defects can be identified automatically so that job card can be generated When a train is on run serious mechanical flaws can be identified.
An arrangement of appropriate cameras put at 360 degree and edge computing, anomaly detection with AI ML algorithm Potential use Outside railways also this can be used for large maintenance depots for buses trucks,containers, cars etc.
Many industry specific image processing requirements come, which can be classified as similar problem
Industry 4.0 assessment to provide roadmap for technology infusion
Manufacturing facilities need Industry 4.0 technologies to be more productive and agile. There are a set of technologies and their order of implementation can affect return on investment There is a need for consultancy to find out which technology inputs are required and in what order.
An assessment of current state and a roadmap for introduction of Industry 4.0 technologies.
Manufacturing companies who are facing issues w.r.t. quality and productivity.
Many industry specific roadmaps can be prepared.
SaaS based Innovation accelerator for B2B market
There is a need to accelerate innovation within organizations. They need knowledge map of employees, They need to organize idea sharing with the employees, which will require monitoring mechanism They may want to have hackathons with outsiders, They may like to systematically manage continuous improvement initiatives.
A SaaS based extensible platform which is easy to install and take use of.
Many companies with 1000 plus knowledge workers might need it. Manufacturing companies who are facing issues w.r.t. quality and productivity.
Within company version and Web version will be required.
We develop and implement these software products from our strategic partners
- Asset management system for Locomotives
- Asset Management System for Trainsets
- Asset Management System for Traction Distribution
- Asset Management System for Power Supply Installations
Internet of Things (IoT)refers to a large number of physicaldevices being connected to the Internet that are able to see,hear, think, perform tasks as well as communicate with eachother using open protocols
In a connected world where machinery, plant, parts, inventory, vehicles and people are ever connected, knowing their positions invariably becomes a key business aspect. GPS devices are commonly used for outdoor localization but sparse availability of GPS sig-nals in indoor environment poses challenges for its indoor usage. In this study, a man-ufacturing company with multiple factories and offices around the world wanted to scan the market to identify a geo-localization server for localizing IOT devices in indoor environments. Implementation cost and maintenance were to play a vital role in the solution identification.
QUOTALOGIC: a DSS for reservation quota allocation to maximize capacity utilization of coaching trains
In long distance passenger trains with multiple stops, passengers can use the train for travelling between any station pair. If the same seat can be utilized for multiple bookings, that increases the utilization. For this purpose, inventory of seats/ berths is divided between different station quotas. Improper quota allocation results in passenger being turned down while seats remain vacant. Following business problem is solved by our innovative product QUOTALOGIC
Introduction to Operations Research has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students.Since it is a text which covers the subject holistically, the adaptation is the application of the concepts in examples and cases.
Operations Research is a bouquet of mathematical techniques which have evolved over the last six decades, to improve the process of business decision making. Operations Research offers tools to optimize and find the best solutions to myriad decisions that managers have to take in their day to day operations or while carrying out strategic planning. Today, with the advent of operations research software, these tools can be applied by managers even without any knowledge of the mathematical techniques that underlie the solution procedures.
This monograph presents a framework for optimum design of timetables to maximise schedule robustness and minimise resource deployment, especially for large railway networks, wherein the problem has been formulated as a multi-objective non-linear model. The monograph's contribution is the formulation of methods to reduce the problem size to computationally manageable proportions, and thus enable planners to undertake network-wide optimisation studies. The monograph demonstrates that the design of timetables can be spread over a canvas incorporating not only over the entire railway network, thus enabling study of the mutual interactions across the network, but also involving the optimisation of crew and rolling stock in the purview of the model.
Design of high performance, power-efficient and dependable cluster based data centers has become an important issue, so with the increasing use of data centers in almost every sector of our society: academic institutions, government agencies and a myriad of business enterprises. Commercial companies such as Google, Amazon, Akamai, AOL and Microsoft use thousands to millions of servers in a Data Center environment to handle high volume of traffic for providing customized (24x7) service.
Misbehaving applications may be detected by monitoring system resource utilization in a virtualized computer system. Utilization may beforecasted based on historical utilization data for the system resources when the application is known to be behaving normally. When the monitored utilization of system resources deviates from the forecasted utilization, an alert may be generated. When the alert is generated, system resources allocated to the application may be increased or decreased to prevent abnormal behavior in the virtualized computer system executing to misbehaving application.
We present a comprehensive list of project characteristics based on research conducted in one of the largest software development and IT services organizations which has hundreds of concurrent offshore outsourcing software projects at any time. This list of characteristics is based on data from three sources: a) existing literature, b) internal company knowledge based on the experience of past projects and c) opinion of industry experts.
We propose composite dispatching rules for scheduling passenger-coaches for Rajdhani services in Indian Railways; these are passenger services from different state capitals to the federal capital city of New Delhi. Effectiveness of several dispatching rules are compared with existing rules using percentage utilization and number of passenger-coaches.
This paper describes the need for Value Based Requirement Prioritization (VBRP) in Core Banking transformation programs. We describe the VBRP tool selected for this purpose and how it was customized for use in a large product implementation in a bank.
Based on the consulting experience in several process improvement projects and existing literature in the area the authors present a structured method to improve an existing process. This removes the ambiguity in identifying the data and information required to analyze a business process and in selection of suitable process improvement pattern.
It is observed that there are processes with multiple sub-processes which are being executed by multiple applications and their monitoring becomes difficult without creating a single end-to-end process. We propose to use transaction logs of these applications along with correlation IDs to identify and connect particular instances of activity execution to a particular transaction execution in the end-to-end process and to use this data for monitoring processes.
Concept of a system for Addressing Bad Publicity in Social Media Using Knowledge in Business Process Models
In this work in progress research paper we describe a concept of a computerized system which can help in addressing the issue of bad publicity on blogs posted on platforms such as tumblr or wordpress, twitter, facebook and/or other public internet forums such as CNET. There are three parts to solve the problem. First, identifying and searching the web for such comments and creating a bag of words from every such comment. Second, creating an index of words occurring on process models and assign them weightage in different process models based on their frequency of occurrence. Third, to create an association between the bag of words derived from the comment and the process models using the index of words.
Process Outsourcing industry, a multi-billion dollar market, is a highly competitive area with intense competition among companies across outsourcing destinations. After the initial cost advantages, Business Process Outsourcing (BPO) clients increasingly expect innovation and improved performance which acts as a driver for BPO providers to adopt different aspects of BPM. Most of the literature on BPO and BPM focuses on the outsourcing organization’s point of view. While BPOs use six sigma techniques and IT for improving their performance the adoption of BPM by a BPO has not been analyzed from a holistic perspective.
Process Improvement by Simplification of Policy, and Procedure and Alignment of Organizational Structure
In this paper we analyze a process improvement project in detail and propose a generic framework for process improvement through process simplification. It involves simplification of relevant policies, simplification of procedures and alignment of process execution teams along policy, process and systems.
This paper presents a discrete event Monte-Carlo simulation based decision support system (DSS), which helps in managing business processes. Process managers use available information on work load, resource availability, task time, etc. and use their experience to predict the performance of the process and take corrective action, if required. We describe here a method and a system which takes available information about work load, and resource availability, to predict near future system performance using discrete event simulation, and compares the expected performance with desired service level and alerts the manager to take corrective action.
Strategic capacity planning is generally done using static mathematical analysis. Simulation of operational scenarios during capacity planning provides more insights into the real system behavior. This ensures better preparedness to handle operations. This case study demonstrates the benefits of discrete event Monte-Carlo simulation of business process over simple mathematical analysis for capacity planning.
Knowledge Management Practices in Indian Software Development Companies: Findings from an Exploratory Study,
Knowledge management (KM) is becoming an important management responsibility as organizations increasingly invest significant information technology (IT) resources to support acquisition, storage, sharing, and retrieval of knowledge. Furthermore, KM plays a critical role in organizations that rely primarily on intellectual capital, such as software development companies. In this paper, we report the findings of an exploratory study where we investigate the KM practices of eight leading software consultancy companies in India and compare our findings with results from a similar study by Alavi and Leidner (1999).