in this paper, the researchers present a multi-objective linear fractional inventory model using fuzzy pro-gramming. the proposed method in this paper is applied to a problem with two objective functions. the re-sulted fuzzy model is transformed into an ordinary linear programming. the implementation of the develop-ing model presented in this paper is demonstrated through the use of some numeri...

The problem that often occurs in raw material inventory is overstock or stockout conditions. healthcare industry, including pharmaceuticals, has been experiencing uncertainty since the Covid-19 pandemic. Then impacts panic buying and stockpiling, which can lead to unpredictable spikes demand, stockouts, disruptions system. research was conducted at ABC Pharmacy Yogyakarta, experienced this prob...

one of the important problems in project management is lack of available resources in proper time at project site that leads to lack of project implementation in due date. this problem may be lead to time delay in sending resources from suppliers and related origins in supply chain to project site. therfore, to better resources managmenet and also the improvement of supply chain condition, the ...

vendor managed inventory is a continuous replenishment program that is designed to provide major cost saving benefits for both vendors and retailers. previous research on this area mainly included single objective optimization models where the objective is to minimize the total supply chain costs or to maximize the total supply chain benefits. this paper presents a bi-objective mathematical mod...

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...

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 ...