Abstract:
Plastics packaging industry was known as an important business which supported to other business. Regarding to the foundation of important businesses in the nation, included beverage industry, frozen food industry, and other food industry, all businesses have to use plastic packaging and the growth rate of many types of business was stimulated the usage of plastics demand. The growth rate of beverage industry was increased 14 percent, frozen food and food industry was sharply increased 55 percent from year 2012 to year 2015. Therefore, not only cost competition among industries, it also affected to environment friendly due to the plastic production which generated abundant pollutions.
The objective of this research was trying to reduce cost of inventory by providing a potential production plan. The research selected plastic boxes, size 16 ounce and 570 ml. as the major products from AB Company. The company is a leader of plastics producer in Thailand. Basically, the study was started from studying of overall data and the production volume of the company. The production data and sale volume considered as the main source of data. The data were collected 2 years, started from January 2013 to December 2014. Then, the research was forecasted the appropriated production volume to cover the actual demand in January 2015 by using Winters three-parameter Exponential smoothing and Weighted moving average to find the potential volume of inventory and created suitable plan in order to cover the order volume in the future. This was definitely helped company in terms of managing cost of inventory, reducing over wastes and reducing pollution.
Therefore, the result had shown that the efficient production volume and the volume of inventory had an excellent reliability rate equal 95 percent which reduced the volume of products in inventory by 64 percent. This also could be a potential strategy to reduce cost in production, reduce warehouses area usage and reduce time in terms of finding and picking products for delivering to customers.