We study a hybrid strategy that uses both process flexibility and inventory to mitigate risks of plant disruption. In this setting, a firm allocates inventory before disruption while facing demand uncertainties; demand is realized after disruption, and the firm schedules its production using process flexibility to minimize lost sales. This interplay between process flexibility and inventory is ...

Inventory routing problems arise as simultaneous decisions in inventory and routing optimization. In the present study, vendor managed inventory is proposed as a collaborative model for reverse supply chains and the optimization problem is modeled in terms of an inventory routing problem. The studied reverse supply chains include several return generators and recovery centers and one collection...

Production and inventory management are two interconnected concepts that crucial to the success of any physical product-driven organization. consists planning, coordinating, regulating manufacturing process guarantee things produced effectively, on schedule, in sufficient numbers. This often entails managing production resources such as people, materials, equipment fulfill targets while minimiz...

This paper describes the application of Kriging metamodeling in multiple-objective simulation optimization. An Arenabased simulation model of an (s, S) inventory system is utilized to demonstrate the capabilities of Kriging metamodeling as a simulation tool. Response surface methodology and Kriging metamodeling are compared to determine the situations in which one approach might be preferred ov...

With the emerging of global economy and the development of the technology in computer and communications, the enterprises are facing to new opportunities but also more challenges, which led to the concept of SC (Supply Chain). By controlling and collaborating each part of the supply chain, SCM (Supply Chain Management) reaches the aim of reducing the cost, improving the quality as well as servi...

A production inventory model is formulated for a single item. Here,demand varies with the on-hand inventory level and production price. Shortages are allowed and fully backlogged. The time gap between the decision and actual commencement of production is termed as ’preparation time’ and is assumed to be crisp/imprecise in nature. The set-up cost depends on preparation time. The fuzzy preparatio...

To cope with current turbulent market demands, more robust inventory policies are needed for distribution networks, to lower the inventory cost as well as maintain high responsiveness. This paper analyzes the inventory policies in the context of complex multiechelon distribution networks and proposes an optimization and simulation integrating approach to robust inventory policies selection for ...