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K. Z. Sholpanbaeva,A. A. Apysheva,N. K. Shaikhanova,A. K. Modenov 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
The issue of health and medicine has always been very important. The volume of demand in the field of medicine is very high and is considered as one of the sensitive and vital products, so the accuracy in using the medicine and the accuracy of time of its use and access are among the strict requirements in the field of drug circulation. As we know, in order to achieve the best therapeutic effect and cure the disease, several drugs for a specific disease are usually used simultaneously. Therefore, an order which contains different types of medicines must be delivered on time, together and at the same time. By focusing on the supply chain, companies are experiencing significant reductions in healthcare costs. The purpose of this article is to provide a model and solution for online pharmacies through which chain costs can be optimized. In this regard, it is assumed that after the orders are received through the protocol in each period, a third-party logistics organization will collect the medicines required for each order from the physical pharmacies that have these medicines in their stock and transfer them to pharmacies that have the ability to send the medicines to the customer and a shipping fleet so that, considering logistical costs, orders are delivered to customers on time.
Multi Project Scheduling and Material Planning Using Lagrangian Relaxation Algorithm
Alim Al Ayub Ahmed,Ngakan Ketut Acwin Dwijendra,Naresh Babu Bynagari,A. K. Modenov,M. Kavitha,Egor Dudukalov 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
Resource-constrained project scheduling is one of the well-known problems in project management. There are many cases where the appropriate schedule was determined first and material ordering plan was decided considering the given schedule. This approach ignores the interactions between these decisions. The integration of project scheduling, material procurement, and production planning of non-renewable resources leads to the coordination of project im-plementation and supplying resources. This coordination reduces total costs, including operating activities, produc-tion, ordering, holding, and penalty costs for late project completion. In addition to, there are many organizations that implement the multi project at the same time and decisions are made in a multi project environment. In this paper, a mixed integer programming model is presented for the resource-constrained multi-project scheduling problem and material ordering and production planning. Due to the application of Lagrangian relaxation algorithm in solving com-plex problems, this algorithm has been used to solve the proposed mathematical model. To evaluate the performance of the proposed model and solution method, a set of sample examples is solved and the numerical results are given. The findings of this paper show the good performance of the model and the solution method and can provide managerial insights for project managers and resource suppliers.