Abstract
In this paper, we investigate operational decision optimization problem of assembly manufacturing capacitated supply chain. Open equations of this system in all planning periods are set up. Delivery time to clients form a time window that limits point to assembly manufacturer delivery start and end time. The system model divide planning time into many equally periods, and decisions can vary with time. Ability constraint in the process of supply chain operation, time constraints and assembly production constrain are all considered in the inventory control dynamic batch optimization model. We solve the optimization problem by hybrid mixed integral optimization and SQP algorithm. At last, we examine a set of numerical examples that reveal the insights into the dynamic inventory control policy and the performance of such an assembly type inventory mode.
Highlights
Manufacturing enterprises are different from processing production enterprises, because their products are composed by a variety of component which has a strict assemble relationship, that’s why no component are allowable to be missing when it comes to assemble
It is different from daily goods production enterprise
Because backlog penalty is serious, delivery in time is the primary goal of assembly manufacturing enterprises
Summary
Manufacturing enterprises are different from processing production enterprises, because their products are composed by a variety of component which has a strict assemble relationship, that’s why no component are allowable to be missing when it comes to assemble. It is different from daily goods production enterprise. Because backlog penalty is serious, delivery in time is the primary goal of assembly manufacturing enterprises. The supply chain operation optimization is to minimize the whole operation cost while fulfill orders in time. Decision optimization to meet the requirement of the assembly manufacturing enterprise supply chain is a practice problem
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