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About Supply Chain Optimization & Category Management: Empirical Study On An Online Grocer
This document summarizes research on supply chain optimization for online grocers dealing with perishable goods. It discusses previous research that used dynamic programming and stage-wise decision making to address decaying inventory. A model is presented that considers setup costs, variable production costs, and holding costs to minimize total weekly costs. Previous research also examined order policies that account for fresh supply lifetime and first-in-first-out issuing. System dynamics modeling was applied to study responsiveness and efficiency in e-grocery supply chains. Information sharing was found to benefit distribution centers dealing with perishable goods by allowing for better batch size estimation.
Detailed Information
| Author: | ['Aarti'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 25 |
| Language: | English |
| Format: | |
| Price: | FREE |
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