Providing an Order-Inventory Planning Model using Heuristics or Meta Heuristics Algorithm (case study: khorasan Petrochemical Co.)

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Mehrabi Nasab, Mohammad | 2017

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 51157 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Hajji, Alireza
Abstract:
Planning orders and inventory is one of the most important issues in the planning of petrochemical production. Considering the customization of this industry, orders planning includes a large part of it. Also, in order to reduce the great cost of inventory storage, planning to reduce inventory must be considered. In this regard, we intend to present a model with simultaneous consideration of orders and inventory planning in this research, the ability to decide on acceptance of orders and determine the level of production of products in conditions of uncertainty of demand with random trapezoidal demand in each period can be assumed. This model will practically play a key role in improving the planning of petrochemical industries through the timely delivery of orders, inventory reductions, and proper utilization of production capacity. A hybrid algorithm based on the genetic algorithm for this model is presented.After obtaining the results of the genetic algorithm, the optimal target function has been compared with the current cost of the complex and a great improvement in costs has been achieved
Keywords:
Inventory Control ; Genetic Algorithm ; Fuzzy Logic ; Khorasan Petrochemical ; Order Planning ; Order Planning

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