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- "An Integrated Approach to Forecasting Petrochemical Prices"
Dr Nilotpal Chakravarti, Adityavijay Rathore, J.P.Mishra. Presented at the 10th Annual International Conference of Society for Operations Management (2006)
The paper presents an integrated approach developed at DecisionCraft for forecasting petrochemical prices. Dynamic political scenarios, natural catastrophes and uncertain supply and demand have resulted in the industry facing high volatility in prices globally. Our approach combined the client's understanding of the petrochemical industry with our modeling expertise to develop a price evolution mechanism that provides very accurate forecasts in the short-term and a good interpretation of mid-term price evolution.
Click here to download a copy (size 110 KB).
- "A Dynamic Distribution Model with Warehouse and Customer Replenishment Requirements"
Prof Pankaj Chandra. Published in the Journal of Operations Research Society - Great Britain (1993)
The paper addresses a multi period integrated model that plans deliveries based upon inventories (at warehouse and customer locations) and vehicle routes. The model determines replenishment quantities and intervals at the warehouse, and distribution lots and delivery routes at customer locations. It shows that ordering policy at the warehouse is a function of how goods are distributed to lower echelons and that coordination leads to cost reduction.
Click here to download a copy (size 148KB).
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"Coordination of Production and Distribution Planning"
Prof Pankaj Chandra and Marshall L Fisher, Decision Sciences Department, The Wharton School, University of Pennsylvania. Published in European Journal of Operational Research (1994)
This paper is a computational study to investigate the value of coordinating production and distribution planning. The particular scenario considered concerns a plant that produces a number of products over time and maintains an inventory of finished goods at plant. The products are distributed by a fleet of trucks to a number of retail outlets at which the demand for each product is known for every period of a planning horizon. The reduction in total operating costs range from 3% to 20%.
Click here to download a copy (size 104 KB).
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