Web based capacity planning & shipping schedule for the manufacturing industry

Abstract

With the advent of the Internet, online processes are replacing conventional models in our society. The greatest impact in online technology has been achieved by e-commerce. E-commerce refers to aspects of online business involving exchanges among customers, business partners and vendors. E-business encompasses these elements but also includes operations that are handled within the business itself. For example, production, development, corporate infrastructure and product management are aspects of e-business not included under the category of e-commerce. The introduction of e-business and e-commerce has increased the speed and ease with which business can be transacted, resulting in intense competition among online vendors. As e-business trends spreading all over the business world, it is advisable to identify future prospects in manufacturing sector. Manufacturing always target a higher profit margin reducing the cost factors such as utilized man-hours, utilized machine hours, raw materials and various services involved. In global context, there is an intense concern about properly utilizing people & machines in the industry. As a result of this trend, only the well-planned organizations could survive in the competitive market place.

Ultimate goal is to cut down the time wasted due to manual processing of capacity planning in organizations and generating a better forecast for the shipment space bookings of commercial vessels of which the space is sold to freighters much in advance due to the fact that the exporters need to meet the deliveries of orders to sustain the future business.

In the case of capacity planning proposed system users will be given comprehensive interfaces to deal with planning issues where they will be enable to define the number of factories, number of modules (lines) established in a particular factory, work force of the factories, efficiencies of modules (lines) [past averages] & factory calendars while utilising actual loadings of the total orders of the company.