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...

Lot streaming is a technique used to split the processing of lots into several sublots (transfer batches) to allow the overlapping of operations in a multistage manufacturing systems thereby shortening the production time (makespan). The objective of this paper is to minimize the makespan and total flow time of n-job, m-machine lot streaming problem in a flow shop with equal and variable size s...

The integration of the Just-In-Time (JIT) system with supply chain management has been attracting more and more attention recently. Within the processes of the JIT system, the upstream manufacturer is required to deliver products using smaller delivery lot sizes, at a higher delivery frequency. For the upstream manufacturer who adopts sea transportation to deliver products, a collaborative thir...

In many manufacturing problems, multi-objective optimizations are representative models, as objectives considered a conflict with one another. real-life applications, optimizing specific solution concerning objective may end up in unacceptable results the other objectives. Many Manufacturing companies operate under uncertainties and this affects system performance. Stochastic product demand is ...

This paper integrates a cost reduction delivery policy into an imperfect production system with repairable items for the purpose of lowering producer’s stock holding cost. The present paper reexamines a manufacturing lot-size problem studied by a prior paper, and improves its production batch size solution in terms of lowering its inventory holding cost. An n+1 delivery policy is proposed here ...