Conceptual Optimization Model of Inventory/Distribution Network with Multi Role Nodes

2013 ◽  
Vol 845 ◽  
pp. 692-695
Author(s):  
Nor Miza Hazwani Omar ◽  
Masine M. Tap ◽  
Norizah Redzuan
Keyword(s):  
Distribution Network ◽  
Integrated System ◽  
Distribution Center ◽  
Production Plant ◽  
Distribution Planning ◽  
Seasonal Demand ◽  
Time Period ◽  
Production And Distribution ◽  
Production And Distribution Planning ◽  
Inventory Distribution

Production and distribution planning might come as one integrated system or separately managed. The distribution planning may include the storage and handling of products, transportation and delivery of products, and so on. Some industries may have inventory/distribution network which are very complex, due to its distribution network and may also be subjected to specific routing restriction. The restriction may affect the optimization of the performance of the distribution network. The aim of this paper is to present a conceptual model which minimizes the total distribution cost for a multi production plant, multi distribution center and multi retailers under seasonal demand and multi time period. The supply chain under consideration comprises of multi role nodes as the production plant and/or distribution center.

Multisite aggregate production and distribution planning: a review

2018 ◽  
Vol 9 (3/4) ◽  
pp. 407
Author(s):  
Satya Prakash ◽  
Gunjan Soni ◽  
Vipul Jain ◽  
Gaurav Kumar Badhotiya ◽  
Murari Lal Mittal
Keyword(s):  
Aggregate Production ◽  
Distribution Planning ◽  
Production And Distribution ◽  
Production And Distribution Planning

Supply and Production/Distribution Planning in Supply Chain with Genetic Algorithm

2012 ◽  
Vol 1 (1) ◽  
pp. 38-54
Author(s):  
Babak Sohrabi ◽  
MohammadReza Sadeghi Moghadam
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Minimum Cost ◽  
Industrial Firms ◽  
Distribution Planning ◽  
Supply Chain Costs ◽  
Production And Distribution ◽  
Holding Cost ◽  
Production And Distribution Planning ◽  
Effective Use

The present study, using genetic algorithm, tries to improve material flow management in supply chain. Consequently, in this paper, an integrated supply-production and distribution planning (SPDP) is considered despite the fact that in most of the Iranian industrial firms, SPDP is done independently. The effective use of integrated SPDP not only enhances the performance rather decreases inventory cost, holding cost, shortage cost and overall supply chain costs. A quantitative mathematical model is used to the problem articulation, and then it is solved by applying heuristic genetic algorithm (GA) method. The proposed model with genetic algorithm could provide the best satisfactory result with the minimum cost. The reliability test was carried by comparing the model results with that of the amount of variables.

Sign in / Sign up

Export Citation Format

Share Document