Performance Of Production Control Research Articles

Towards System State Dispatching in High‐Variety Manufacturing

This study proposes a shift towards system state dispatching in the production control literature on high-variety manufacturing. System state dispatching lets the decision on what order to produce next be driven by system-wide implications while trading of an array of control objectives. This contrasts the current literature that uses hierarchical order review and release methods that control the system at release, whilst myopic priority rules control order dispatching based on local queue information. We develop such a system state dispatching method, called FOCUS, and test it using simulation. The results show that FOCUS enables a big leap forward in production control performance. Specifically, FOCUS reduces the number of orders delivered late by a factor of one to eight and mean tardiness by a factor of two to ten compared to state-of-the-art production control methods. These results are consistent over a wide variety of conditions related to routing direction, routing length, process time variability and due date tightness.

A Robust Production Control Policy for Hedging Against Inventory Inaccuracy in a Multiple-Stage Production System With Time Delay

Inventory inaccuracy has significant negative impact on the performance of production control. In this paper, we investigate the robust production control problem for a multiple-stage production system with inventory inaccuracy and time delay between stages. The objective of this problem is to minimize the average production cost. The problem is solved in two steps. First, an approximate optimal production control policy is developed for a multiple-stage production system with time delay but without inventory inaccuracy. Second, we reveal that the discontinuity of the controls makes the policy sensitive to the error of inventory data, and then propose a robust production control policy to eliminate this sensitivity, in which the control variables change smoothly when state variables cross boundaries between different domains in the state space. We also prove that the robustness of the proposed robust policy is better than that of the approximate optimal policy. Finally, numerical experiments are conducted to examine the performance of the proposed robust policy for hedging against inventory inaccuracy.

Robust production control policy for a multiple machines and multiple product-types manufacturing system with inventory inaccuracy

Inventory inaccuracy often exists in manufacturing systems, which has great negative impact on the performance of production control, e.g. very high work-in-process holding cost or backlog penalty. To hedge against inventory inaccuracy, the robust production control problems will be investigated for a multiple machines and multiple product-types manufacturing system with uncertain production capacity. The objective of our problem is to minimise the average production cost. To solve this problem, a robust production control policy is developed, which is insensitive to the inventory record errors, and whose robustness is better than the traditional hedging point policy for optimal production control. Finally, numerical experiments are conducted to examine the performance of the proposed robust production control policy against inventory inaccuracy. Based on the experimental results, the conditions of applying the proposed policy are also obtained.