[[abstract]]This paper considers a modified lot size reorder point model with imperfect production process, where the unsatisfied demand is assumed to be a mixture of backorders and lost sales. It investigates the effects of investing in process quality improvement on the model. Specifically, we discuss the case where only partial information of lead time demand is known, and solve the problem by applying the minimax distribution free approach. An algorithm procedure is established to obtain the optimal lot size, reorder point and process quality level. Numerical examples are provided to illustrate the results derived.[[notice]]補正完畢[[journaltype]]國外[[booktype]]紙本[[countrycodes]]IN
This paper investigates the learning effect of the unit production time on optimal lot size for the ...
[[abstract]]This paper assumes that an arrival order lot may contain some defective items, and consi...
[[abstract]]The traditional economic production quantity (EPQ) model assumes that the production pro...
[[abstract]]This paper investigates the impact of quality improvement on the modified lot size reord...
This paper illustrates the relationship between quality improvement, reorder point, and lead time, a...
[[abstract]]This study develops a production lot size inventory model for deteriorating items with f...
[[abstract]]This study develops a production lot size inventory model for deteriorating items with f...
[[abstract]]In this article, we extend the classical economic production quantity (EPQ) model by pro...
This paper is an extension of Hsu and Hsu (Int J Ind Eng Comput 3(5):939–948, 2012) aiming to determ...
In this paper the full transmission of learning for the general production lot size problem with an ...
[[abstract]]This paper deals with the lead time and set-up cost reductions problem on the modified l...
AbstractIn this paper the full transmission of learning for the general production lot size problem ...
This paper investigates an improved way to calculate imperfect items in an integrated inventory mode...
We develop multistage lot-sizing models for imperfect production processes. The effect of inspection...
[[abstract]]This paper assumes that an arrival order lot may contain some defective items, and the n...
This paper investigates the learning effect of the unit production time on optimal lot size for the ...
[[abstract]]This paper assumes that an arrival order lot may contain some defective items, and consi...
[[abstract]]The traditional economic production quantity (EPQ) model assumes that the production pro...
[[abstract]]This paper investigates the impact of quality improvement on the modified lot size reord...
This paper illustrates the relationship between quality improvement, reorder point, and lead time, a...
[[abstract]]This study develops a production lot size inventory model for deteriorating items with f...
[[abstract]]This study develops a production lot size inventory model for deteriorating items with f...
[[abstract]]In this article, we extend the classical economic production quantity (EPQ) model by pro...
This paper is an extension of Hsu and Hsu (Int J Ind Eng Comput 3(5):939–948, 2012) aiming to determ...
In this paper the full transmission of learning for the general production lot size problem with an ...
[[abstract]]This paper deals with the lead time and set-up cost reductions problem on the modified l...
AbstractIn this paper the full transmission of learning for the general production lot size problem ...
This paper investigates an improved way to calculate imperfect items in an integrated inventory mode...
We develop multistage lot-sizing models for imperfect production processes. The effect of inspection...
[[abstract]]This paper assumes that an arrival order lot may contain some defective items, and the n...
This paper investigates the learning effect of the unit production time on optimal lot size for the ...
[[abstract]]This paper assumes that an arrival order lot may contain some defective items, and consi...
[[abstract]]The traditional economic production quantity (EPQ) model assumes that the production pro...