Research Article

Effects of Lot-Sizing Integration and Learning Effect on Managing Imperfect Items in a Manufacturer-Retailer Chain

Table 1

Summary of notations.

System

The number of finished items
The index of the finished items,
The index of the decision policies, , where N denotes the Nash game policy and denotes the cooperation game policy
The demand rate of finished item i in the marketplace
Total cost for the channel per unit time under policy

Manufacturer

Production time for each production cycle
The number of shipments of item i per batch production run under policy j
The number of shipments of raw material i per batch production run under policy
The usage rate of raw material for finished item
The major set up cost per production cycle
The minor set up cost for adding finished item into the production schedule
The ordering cost of the raw material for finished item per production cycle
The inventory holding cost of finished item per unit time
The inventory holding cost of the raw material for finished item i per unit time
The learning rate in the production line, where
The learning coefficient, which decreases over the production time required per unit,
The production rate of defective items per unit time
The time required to produce the first unit of the production cycle
The time to produce the xth unit item of the production cycle
The total cost per unit time under policy

Retailer

The individual replenishment cycle of finished item under the Nash game policy
The common replenishment cycle of all finished items under the cooperation game policy
The major set up cost per replenishment cycle
The minor set up cost for adding finished item into the order
The inventory holding cost of finished item per unit time
The total cost per unit time under policy