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Narayan Powertech
January 2018

Siemens PLM Software solution enables Narayan Powertech to raise inventory turns by 15 to 20 percent.



Narayan Powertech Pvt. Ltd. (Narayan Powertech) designs and manufactures custom-engineered instrument transformers for the energy and utilities market. The company was founded in 1996 and has a presence in 43 countries. It is an International Organization for Standardization (ISO) 9001, 14001 and Occupational Health and Safety Assessment Series (OHSAS) 18001 company.

Narayan Powertech has significant manufacturing and design experience, which has enabled the firm to participate in the smart grid, optical sensor and energy management sectors. This expertise has allowed Narayan Powertech to transform its relationships with customers from being just a supplier to a strategic partner. They have been growing at 20 percent compound annual growth rate (CAGR), in part due to the diversification provided by their digitization and sensor technology products. The firm’s products include medium-voltage transformers, low-voltage transformers, bushing-current transformers, fault-pass indicators and Rogowski, cast-resin components and current and voltage sensors. 


Facing technical and business challenges
The company had major technical challenges with production efficiency, delivery deadlines and synchronizing the value chain. The company was also faced by business challenges, included producing and delivering a dynamic mix of large- and small-order quantities; a hybrid mix of make-to-order and engineer-to-order products; high-product variants with new diversified product developments; dynamic customer demand and rush orders as well as a lower percentage of make-to-stock items. Additionally, the company was facing issues related to inconsistent data maintenance, manual and Excel spreadsheet software based planning and scheduling systems, lack of proactive solutions and long production meetings. The methods adopted to deal with ongoing issues were inadequate because of the dynamic rescheduling required to handle a high product mix, rush orders and capacity constraints; limitations of the in-house custom ERP system, which was insufficient to carry out finite capacity scheduling, and time-consuming systems prone to human errors.

Choosing the right partner and product
Narayan Powertech found SNic Solutions to be an excellent partner because of its sound domain knowledge, shop floor practices and experience. As system integrators, SNic Solutions, a Siemens PLM Software partner, could swiftly configure and customize SIMATIC IT Preactor to meet the specific requirements of Narayan Powertech. 

Narayan Powertech chose Siemens PLM Software’s SIMATIC IT Preactor over other software because of its significant product capabilities. The aim of installing SIMATIC IT Preactor was to provide:

  • Proactive predictive planning and scheduling instead of reacting to problems
  • Proactive communication with customers on delivery dates
  • Accurate delivery dates to customers • Accurate machine loading plan
  • Demand-centric identification of bottlenecks in advance
  • Supply demand synchronization
  • Visibility into a single plan across different departments
  • Effective resource utilization

By implementing SIMATIC IT Preactor, Narayan Powertech sought to improve customer confidence and position themselves as a key strategic partner and an end-to-end solution provider. Further, by using SIMATIC IT Preactor, Narayan Powertech reduced the average customer lead time from four weeks to 2.5 weeks, and customer response time from three days to one day.

Product

  • SIMATIC IT


Business challenges

  • Manage dynamic mix of diversified product developments
  • Efficiently address dynamic customer demand and rush orders
  • Improve productivity and facilitate value chain synchronization


Keys to success

  • Use SIMATIC IT Preactor to implement an efficient predictive planning system
  • Meet customer delivery requirements with existing resources and manpower


Results

  • Increased capacity utilization and inventory turns by 15 to 20 percent
  • Delivered dynamic and proactive response to customers
  • Improved on-time deliveries by 95 percent
  • Reduced customer lead time by an average of 4 weeks to 2.5 weeks
  • Provided improved communication with internal teams and customers