Open Access Subscription Access
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.
Call for Papers
- Birthal PS, Jha AK, Singh H. Linking Farmers to Markets for High Value Agricultural Commodities.
- Mittal S. Strengthening Forward and Backward Linkages in Horticulture. 2007.
- Mangala KP, Chengappa PG. Agricultural Economics Research. 2008.
- Sharma MJ, Moon I, Bae H. Analytic Process to acess and optimize distribution network. 2008.
- Beamom BM. Supply Chain Design and Analysis. 1998 Shah PTN, Pantelides CC. Design of multi-echelon supply chain networks under demand uncertainty. 2001.
- Hsu C, Wallace WA. An Industrial Network Flow Information Integration model for Supply Chain Management and Intelligent Transportation. 2007
- Deep A, Dani S. Can Inter-Firm networks alleviate supply chain risks within global food supply Chains? International Symposium on Logistics (ISL) 14th International Conference; 2009 Jul; Business School, Loughborough University, Loughborough, UK.
- Singh A, Bowonder, Gupta V. Developing a Rural Market e-hubThe case study of e-Choupal experience of ITC. 2005.
- Gulati A, Joshi PK, Landes M. Contract Farming in India: An Introduction. 2010.
- Kiran M, Cijo M, Jacob K. Root Cause Analysis for Reducing Breakdowns in a Manufacturing Industry.
- Hui YH. Handbook of fruits and fruit processing. ISBN-13: 9780-8138-1981-5 (alk. paper) ISBN-10: 0-8138-1981-4 (alk.paper)
- Barry K. John W. Tariff and non-tariff measures affecting market access for fresh and processed Fruits and Vegetables Economic Research Service. U.S. Department of Agriculture. 2005 Jun 1-3.
- Hall CR. Direct Marketing Guide for Producers of Fruits, Vegetables and Other Specialty Products Professor Department of Agricultural Economics University of Tennessee Agricultural Extension Service. 2007.
- Jain AK. An Optimal Preventive Maintenance Strategy for Efficient Operation of Boilers in Industry. Control Theory and Informatics. 2012 2(4). ISSN 2224-5774 (print) ISSN 22250492 (online).
- Murthy DS, Gajanana TM, Sudha M, Dakshinamoorthy V. Marketing Losses and their impact on Marketing Margins: A Case Study of Banana in Karnataka Agricultural Economics Research Review. 2007Jan-Jun; 20. une 2007.
- Marketing Cooperatives in a new retain context: A case study of HOPCOMS in India
- Aune EJ, Hemmingsen AKT, Haugland. Superchilling – Innovative Processing of Fresh Food Proceedings of EU Workshop. (Project QLK1-СТ-2002-30544), 2005; 1–8.
- Cheng E, Jian Li, Wang S. Analysis of postponement strategy for perishable items by EOQ-based models. International Journal of Production Economics. 2007; 107.
- Eskola E. Agricultural Marketing and Supply Chain Management in Tanzania ESRF Study on Globalisation and East Africa Economies, Working Paper Series; 2008.
- Premchander S. Cooperative for Sale of Fruits and Vegetables: A Success Story of Urban Horticultural Marketing HOPCOMS (Horticultural Produce Cooperative Marketing Society). Sampark, Bangalore, 2002 Aug.
Abstract Views: 182
PDF Views: 35