In this paper, the minimization of the maximum aggregate inventory of all products for the common cycle time approach to the scheduling problem of a multi-products single machine system is considered. In the case of non-zero set up time and limited resources, a simply and easy to apply rule has been obtained for this optimization problem. Using this rule, one can obtain the optimal production s...

Global competition and changing customer requirements are putting major challenges in the production planning and control systems of manufacturing enterprises. Production planning and control requires robust methods able to cope with demand variability, processing times variability, routing sequences, resource availability, etc., between other sources of variation. Production planning and contr...

This paper studies the joint production/inventory and condition-based maintenance control for a multi-product manufacturing system with setup times under stochastic product demands. The problem is modelled as semi-Markov decision process (SMDP). objective to find production policy that minimizes long run expected discounted cost including setup, holding, lost sales, preventive corrective costs....

We study joint preventive maintenance (PM) and production policies for an unreliable production-inventory system in which maintenance/repair times are non-negligible and stochastic. A joint policy decides (a) whether or not to perform PM, and (b) if PM is not performed, then how much to produce. We consider a discrete-time system, formulating the problem as a Markov decision process (MDP) model...

in this paper, the study deals with the lead time and setup reduction problem in the vendor-purchaser integrated inventory model. the cost of capital (i.e., opportunity cost) is one of the key factors in making the inventory and investment decisions. lead time is an important element in any inventory system. the proposed model is presents an integrated inventory model with controllable lead tim...