Study and Analysis of Inbound Logistics: Case Study of Pickled Green Mustard Canning Industry
DOI:
https://doi.org/10.14456/thaidoa-agres.2012.19Keywords:
inbound logistics, contract farming, polynomial regression, factor analysisAbstract
Study and analyse the inbound logistics of pickled green mustard canning industry were to identifie the problems and solution with hishly efficient importation of raw materials. Major aims of this research were to: (1) determine the problems in pickled green mustard canning industry. A researcher undertakes a study on problems by interviewed with all of the supervisors in the company that specializes in manufacturing pickled green mustard canning. Results from the interview showed that the basic problems were begun with raw materials were not have quantity and quality following standard of the company and another problem was being uncertainty in the prices level of green mustard. (2) Study the cultivation process of farmers who were cultivating green mustard with the data of questionnaires with 38 farmers in Chiang Rai province. Study showed that all of farmers had the primary education which might be influenced on perception and they were not interested in the training of company. Training pattern of company is too academic and affected to farmers not understand in some part of training. Moreover the company officers had inadequate to consultant for farmers. Farmers were not following GAP (Good Agricultural Practice) which affected to the performance of cultivation process. In cultivation process, they tended to use excessive chemical fertilizers exceeding the prevailing criteria of the company and a few of them sometime used the organic fertilizers and they used only chemicals in pest management. Furthermore, this research showed that the experience of cultivation in range of 16-20 years, used of organic fertilizers and chemical fertilizers simultaneously in cultivation and used of hose the water spray had an effect on quantity of yields. For these reasons, researchers have proposed planting to increase efficiency. (3) Explore proper green mustard pricing forecasting technique between polynomial regression and factor analysis. The research results showed that polynomial regression technique was capable of making forecasts more accurately and identify factor affecting the stability of the green mustard prices. Beside this technique could successfully point out the factors related to the green mustard price. Base on these findings the company could plan for purchasing management and the company could find out the way to cultivate more efficiently and prepare effective plans to accommodate changes in the factors those affect green mustard pricing.
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Thai Agricultural Research Journal