The paper is to present a simulation method to search for an optimal (z, Z) (z < Z) values for the (z, Z) production control policy so that the expected inventory cost rate (i.e. expected total cost due to both inventory holding and backlog per unit time) is minimal for a single machine system with buffer. The system is subject to operationdependent failure only and alternates between normal an...

This paper considers the performance of a production or distribution-scheduling algorithm termed Automatic Pipeline, Inventory and Order Based Production Control System (APIOBPCS) embedded within a Vendor Managed Inventory (VMI) supply chain where the demand profile is deemed to change significantly over time. A dynamic model of the system using causal loop diagrams and difference equations is ...

A common and important problem in business is the determination of inventory policies for a production system within a changing business environment and market demand. In this paper, an automatic pipeline feedback order-based production control system (APIOBPCS), considering a demand with cyclic and stochastic components, is proposed. The dynamics and delays of the production process are modele...

We show that a modified base-stock policy is optimal for multiproduct, infinite-horizon production-inventory systems, where demand for the products is random and the products share a finite resource every period. We characterize the optimal policy for the case of homogeneous products. Because of the difficulty in computing the optimal base-stock levels for the heterogeneous case, we propose a h...

Most of the earlier studies in the inventory control and management make assumption that the manufacturing system is reliable and does not fail. However, in the real industrial applications, there is no completely reliable manufacturing system; Machine failure occur and the production does not resume before repair. In this paper we will study and analyze the optimal lot size in a real productio...

This paper studies the optimal control of, interaction between, and relative value of two types of flexibility under Markov models of demand and production: process flexibility and inventory flexibility. In our model, process flexibility is generated by a multi-functional production facility that can produce two types of products, and inventory flexibility is manifested in firm-driven one-way p...

Nowadays, flexible manufacturing system (FMS) is introduced as a response to the competitive environment. Scheduling of FMS is more complex and more difficult than the other scheduling production systems. One of the main factors in scheduling of FMS is variable time of taking orders from customers, which leads to a sudden change in the manufacturing process. Also, some problems are created in p...