Pages that link to "Item:Q2470118"

The following pages link to Production lot size problem with failure in repair and backlogging derived without derivatives (Q2470118):

Displaying 14 items.

• Production planning and pricing policy in a make-to-stock system with uncertain demand subject to machine breakdowns (Q296705) (← links)
• The derivation of EOQ/EPQ inventory models with two backorders costs using analytic geometry and algebra (Q554723) (← links)
• The economic lot size of the integrated vendor-buyer inventory system derived without derivatives: a simple derivation (Q628989) (← links)
• Using complete squares method to optimize replenishment policies in a four-stage supply chain with planned backorders (Q642876) (← links)
• Optimal selling price and lotsize with time varying deterioration and partial backlogging (Q708154) (← links)
• Economic production quantity model with repair failure and limited capacity (Q727263) (← links)
• A note on the economic lot size of the integrated vendor-buyer inventory system derived without derivatives (Q856322) (← links)
• An algebraic approach for determining the optimal lot size for EPQ model with rework process (Q988479) (← links)
• A constrained integrated imperfect manufacturing-inventory system with preventive maintenance and partial backordering (Q1708531) (← links)
• Optimization of inventory system with defects, rework failure and two types of errors under crisp and fuzzy approach (Q2086914) (← links)
• Delayed payment policy in multi-product single-machine economic production quantity model with repair failure and partial backordering (Q2190267) (← links)
• Mathematical analytic techniques and the complete squares method for solving an inventory modelling problem with a mixture of backorders and lost sales (Q2289385) (← links)
• Solving production lot size problem with an improved delivery policy and failure in rework by a simplifi ed solution procedure (Q2903240) (← links)
• Algebraic modelling of a two level supply chain with defective items (Q4553881) (← links)