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Productivity Enhancement of Fruit Processing Supply Chain Network using Effective Decision Models
Practically any fruit and vegetable can be processed, but some important factors which determine whether it is worthwhile are: The demand for a particular fruit or vegetable in the processed form; The quality of the raw material, i.e. whether it can withstand processing; Regular supplies of the raw material. In developing country like India agriculture is the main stay of the economy. Agricultural industries and related activities can account for a considerable proportion of their output. Due to insufficient demand, weak infrastructure, poor transportation and perishable nature of the crops, the grower sustains substantial losses. Even established fruit and vegetable canning factories or small/medium scale processing centers suffer huge loss due to erratic supplies. The main objective of fruit and vegetable processing is to supply wholesome, safe, nutritious and acceptable food to consumers throughout the year. Fruit and vegetable processing projects also aim to replace imported products like squash, jams, tomato sauces, pickles, etc., besides earning foreign exchange by exporting finished or semi-processed products. For example, a particular variety of fruit which may be excellent to eat fresh is not necessarily good for processing. Processing requires frequent handling, high temperature and pressure. Many of the ordinary varieties of pineapples, for instance, are not suitable for making paste or other processed products. Simulation was carried out for the updated model for a period of ten days with five replications. From the results obtained from the DOE, noises in the factors (Steam losses, Minor stoppages) were reduced by implementing the mentioned techniques. The runs are randomized using MINITAB software. A cost matrix was made to create a tradeoff between all factors that were affecting the performance. This resulted in the increase of throughput rate in the real scenario. This research project demonstrates the practical application of Design of Experiments(DOE) showing how it can bring real breakthroughs in productivity of a fruit processing industry. This research work was carried out with the objective of designing new decision making method for controlling the production and material flow in the process industry.
DOE, Minor Stoppages, Process Industry, Runs, Simulation Model, Steam Losses.
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