mohammad bandari; adel azar; Kiamars Fathi Hafshejani
Volume 27, Issue 3 , October 2024, , Pages 110-133
Abstract
There is a kind of supply chain services that the products are not considered as a commodity, and a combination of products and service or only service is exchanged in these chains. Despite the importance of these supply chains, the research literature is not very rich and the need for further strengthening ...
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There is a kind of supply chain services that the products are not considered as a commodity, and a combination of products and service or only service is exchanged in these chains. Despite the importance of these supply chains, the research literature is not very rich and the need for further strengthening in this area is quite evident. Hospital service supply chains are also the type of service supply chains that should be taken into consideration. The aim of the current research was to optimize the supply chain of hospital services. For this purpose, library studies were first conducted and the research gap was extracted. Then, a multi-objective mathematical planning model was designed based on research innovation and its assumptions, the first objective was to minimize the cost, the second objective was to minimize the unrealized demand, and the third objective was to maximize the commitment of suppliers. After the solution, the model was validated based on fast-moving and non-moving goods, and the results showed that the parameters of the model all lead to a worsening of the solution, causing an increase in cost and unfulfilled demand and a decrease in employee commitment. But the goal of employee commitment has changed more than other goals due to the increase in parameters, and sometimes this commitment is reduced by 70%. The parameter of demand for fast-moving consumer goods has the greatest effect on cost and unrealized demand.
hossein talebi; maghsoud amiri; parham azimi
Volume 22, Issue 1 , June 2018, , Pages 95-118
Abstract
One of the most important goals moving toward banks customer satisfaction is reducing waiting time in branches. Banks are queuing system including that long queues of customers will cause Increase customer waiting time and decrease satisfaction. One of the effective solution for reducing waiting time ...
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One of the most important goals moving toward banks customer satisfaction is reducing waiting time in branches. Banks are queuing system including that long queues of customers will cause Increase customer waiting time and decrease satisfaction. One of the effective solution for reducing waiting time is optimizing number of service personnel in each sector which in addition to reduce the waiting time, it has increases employee engagement. In this paper, simulation and experimental design method has been applied to this topic. This paper is developing a model with two objectives; Minimizing customer wait times and maximizing working time of employees. First, the current status of MELLI bank branches is simulated by ED, then Improvement scenarios is implemented by DOE methods and finally model is solved by design-expert software. The results show that most favorable option is one electronic and clear employee and five Cashiers employees. Using this method resulted in reduced waiting time by 32 percent.
Parham Azimi; Khalil Sajjadi
Volume 18, Issue 4 , January 2015, , Pages 65-86
Abstract
One of the main objectives in Bank customer-orientation is to reduce the waiting time of customers at the branch. One solution is optimal utilization of capacity and adequate facilities. Employing more than enough may cause additional costs to the Bank. This paper uses a new methodology to determine ...
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One of the main objectives in Bank customer-orientation is to reduce the waiting time of customers at the branch. One solution is optimal utilization of capacity and adequate facilities. Employing more than enough may cause additional costs to the Bank. This paper uses a new methodology to determine the optimal combination of equipment and facilities in Bank branches. For this purpose, mathematical model consisting of minimizing the objective function and some constraints was developed. We solved this model by using Simulated Annealing algorithm of answers or simulation scenarios with respect to the objective function so that the optimal plausible scenario is chosen. In this method, first possible scenarios are made by considering issue constraints, using MATLAB and simulation software ED in 50 times (each time 8 hours). Finally, with respect to the combined equipment and facilities of each scenario, the costs of using equipment and the cost of losts customers were calculated, and a scenario in which 4 Rial booths, 2 exchange booths, 3 facility booths, and two ATM booths are used with the lowest cost, WAS chosen as the optimal scenario.
