There is a lack of prescriptive methods for setting lot sizes and planned lead times effectively in MRP systems. Recent research has suggested the application of queuing relationships. This study experimentally investigates the use of GI/G/1 relationships for lot size selection along with the use of exponentially smoothed feedback for dynamic planned lead time setting. Results show that assumpt...

This paper discusses a production-inventory system under random machine breakdown. Holding safety stock is the common way to mitigate effect of breakdown on shortages that may occur during repair time. Since holding can be costly, especially for expensive products, this investigates an alternative strategy in which it assumed production manager purchase same products from supplier order meet de...

Themultilevel lot-sizing (MLLS) problem is a key production planning problem inmaterials requirements planning (MRP) system. The MLLS problem deals with determining the production lot-sizes of various items appearing in the product structure over a given finite planning horizon to minimize the production cost, the inventory carrying cost, the back ordering cost and etc. This paper proposed a pa...

We address a stochastic single item production system in a make-to-stock environment with partial knowledge on future demand resulting from customers ordering in advance of their actual needs. The problem consists of determining the optimal size of a production lot to replenish inventory, so that delivery promises are met on time at the expense of minimal average costs. For this problem an opti...

In this study, a two-echelon supplier-manufacturer system with finite production rate and lead time is proposed. It is assumed that shortage is not permitted and the lot size of manufacturer (second echelon) is m-factors of the lot size of supplier (first echelon) and supplier can supply the manufacturer’s lot size in several shipments in each cyc...

This paper deals with a problem of determining lot-sizes of jobs in a real-world job shop-scheduling in the presence of uncertainty. The main issue discussed in this paper is lot-sizing of jobs. A fuzzy rule-based system is developed which determines the size of lots using the following premise variables: size of the job, the static slack of the job, workload on the shop floor, and the priority...