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Vol.1 , No. 2, Publication Date: Mar. 23, 2018, Page: 51-60
 and Greedy Heuristic (GH) Approach to Transshipment Model in a Bottling Plant&description=Managing product flow from source to destination in a multi-echelon system is a prime task and often considered more challenging than managing product flow in a single-echelon system. The status quo especially in developing countries is that such decisions are made relying on rule of thumb approaches which has never guaranteed ideal solutions. In this study, an algorithm for effective multi-echelon inventory management system has been proposed and applied in a Nigerian bottling plant. The interactions and product flow in the case company were identified and characterized as a multi-echelon system and it was observed that products were distributed from source to downstream at a higher cost. Results of the current study shows that the developed model eliminated several deficiencies by ensuring that depots got their demanded products at optimal cost. Hence, the model can be applied by decision makers, engineering managers and industry practitioners to effectively minimize distribution expenses for any multi-echelon system while fulfilling demand at all destinations.&picture=http://www.aascit.org/aascit/decorators/img/journal/812.jpg)
| [1] | Modestus O. Okwu, Department of Mechanical Engineering, Federal University of Petroleum Resources, Effurun, Nigeria. |
| [2] | Ikuobase Emovon, Department of Mechanical Engineering, Federal University of Petroleum Resources, Effurun, Nigeria. |
Managing product flow from source to destination in a multi-echelon system is a prime task and often considered more challenging than managing product flow in a single-echelon system. The status quo especially in developing countries is that such decisions are made relying on rule of thumb approaches which has never guaranteed ideal solutions. In this study, an algorithm for effective multi-echelon inventory management system has been proposed and applied in a Nigerian bottling plant. The interactions and product flow in the case company were identified and characterized as a multi-echelon system and it was observed that products were distributed from source to downstream at a higher cost. Results of the current study shows that the developed model eliminated several deficiencies by ensuring that depots got their demanded products at optimal cost. Hence, the model can be applied by decision makers, engineering managers and industry practitioners to effectively minimize distribution expenses for any multi-echelon system while fulfilling demand at all destinations.
Keywords
Single-Echelon, Multi-echelon, Heuristics, Algorithm
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