Determining production–shipment policy for a vendor–buyer integrated system with rework and an amending multi-delivery schedule

Chiu, Singa Wang; Lin, Li-Wen; Chen, Kuang-Ku; Chou, Chung-Li

doi:10.1016/j.econmod.2013.05.020

Cited by 9 publications

(3 citation statements)

References 26 publications

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“…Yang and Lo [26] considered a problem of determining a suitable policy of inventory and purchasing management, with the objective of minimizing total expected inventory costs with multiple partners under controllable lead time. Many studies that addressed various aspects of supply chain issues have also been extensively carried out recently [27][28][29][30][31][32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Finite Production Rate Model With Quality Assurance, Multi-customer and Discontinuous Deliveries

Chiu

Pai

et al. 2014

Journal of Applied Research and Technology

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This study is concerned with the replenishment-shipment decision for a multi-customer finite production rate (FPR) model with quality assurance and discontinuous deliveries. We consider that a product is manufactured by a producer and all items are screened for quality control purpose. Nonconforming items will be picked up and categorized as scrap or repairable items. The reworking will be done right after the regular production in each replenishment cycle. After the entire lot is quality assured, multiple shipments will be delivered synchronously to multi-customer in each cycle. Each customer has its own annual product demand, unit stock holding cost, as well as fixed and variable product delivery costs. Mathematical modeling along with Hessian matrix equations is employed to solve the proposed model. A closed-form optimal replenishment-shipment policy for such a specific integrated FPR model is obtained. A numerical example is provided to show the practical applicability of the obtained results.

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Section: Introductionmentioning

confidence: 99%

Finite Production Rate Model With Quality Assurance, Multi-customer and Discontinuous Deliveries

Chiu

Pai

et al. 2014

Journal of Applied Research and Technology

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“…The model considered the failure of some of the reprocessed items during the reworking phase and turned them into scrap. Chiu, Lin et al [14] examined a manufacturer-retailer combined setup with reprocessing and better items shipment to reduce inventory carrying cost. The model incorporated the n + 1 shipment policy and determined shipments and replenished items.…”

Section: Introductionmentioning

confidence: 99%

Shipment Policy for an Economic Production Quantity Model Considering Imperfection and Transportation Cost

et al. 2020

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Determining replenishment lot size and number of shipments in a traditional production setup has been of great interest among researchers during the last decades. In order to survive modern competition, the manufacturer has to make good decisions about the lot size that is to be shipped to the retailer. Recently, several researchers have developed mathematical models for modelling different real-world situations; however, these models are lacking due to a combination of imperfection in process and shipment lot sizing. Therefore, in the proposed research, shipment policy for an imperfect production setup has been developed with transportation costs taken into consideration. The model analyzed lot sizing for manufacturers and retailers with imperfections in terms of equally sized shipments. Furthermore, an all-unit-discount policy for shipment is considered in the proposed research, and at the end, numerical computation and sensitivity analyses are carried out to gain more insight into the specifications of the model.

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“…The objective was to minimize the total joint annual costs incurred by the vendor and the buyer. Additional studies were conducted to address various aspects of periodic or multiple deliveries issues [29][30][31][32][33][34][35][36][37]. 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.…”

Section: Introductionmentioning

confidence: 99%

Multi-Item EPQ Model with Scrap, Rework and Multi-Delivery using Common Cycle Policy

Chiu¹,

Tseng

et al. 2014

Journal of Applied Research and Technology

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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.

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Determining production–shipment policy for a vendor–buyer integrated system with rework and an amending multi-delivery schedule

Cited by 9 publications

References 26 publications

Finite Production Rate Model With Quality Assurance, Multi-customer and Discontinuous Deliveries

Finite Production Rate Model With Quality Assurance, Multi-customer and Discontinuous Deliveries

Shipment Policy for an Economic Production Quantity Model Considering Imperfection and Transportation Cost

Multi-Item EPQ Model with Scrap, Rework and Multi-Delivery using Common Cycle Policy

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