Multi-Item EPQ Model with Scrap, Rework and Multi-Delivery using Common Cycle Policy
| Autor: | P-C. Sung, M-F. Wu, S.W. Chiu, C-T. Tseng |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Optimization
Engineering drawing Engineering Operations research business.industry Scrap Rework General Engineering Multi-shipment Economic production quantity Common Cycle Task (project management) Production planning Order (business) Production (economics) Economic Production Quantity Multi-Item Production business Average cost |
| Zdroj: | Journal of Applied Research and Technology. 12(3):615-622 |
| ISSN: | 1665-6423 |
| DOI: | 10.1016/s1665-6423(14)71641-4 |
| Popis: | This paper is concerned with determining the optimal common production cycle policy for a multi-item economic production quantity (EPQ) model with scrap, rework and multiple deliveries. The classic EPQ model considers the optimal replenishment quantity of single product under a perfect production assumption and a continuous inventory issuing policy. However, in real life production planning, manufacturing firms often plan to have multiple products made in turn on a single machine in order to maximize the machine utilization. Also, dealing with random defective items during the production run seems to be an inevitable task, and the multi-delivery policy is commonly adopted for distributing finished items to customers. In this study, we assume a portion of nonconforming items is scrap and the other portion of them can be reworked and repaired in the same production cycle with additional cost. The objective is to determine an optimal common production cycle time that minimizes the long-run average cost per unit time for such a specific multi-item EPQ model with scrap, rework and multi-delivery policy. Mathematical modeling and analysis is used and a closed-form optimal common cycle time for multi-item production planning is obtained. A numerical example is provided to demonstrate the practical usage of research result. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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