Mechanisms and therapeutic applications of electromagnetic therapy in Parkinson's disease

© 2015 Vadalà et al. Electromagnetic therapy is a non-invasive and safe approach for the management of several pathological conditions including neurodegenerative diseases. Parkinson's disease is a neurodegenerative pathology caused by abnormal degeneration of dopaminergic neurons in the ventral tegmental area and substantia nigra pars compacta in the midbrain resulting in damage to the basal ganglia. Electromagnetic therapy has been extensively used in the clinical setting in the form of transcranial magnetic stimulation, repetitive transcranial magnetic stimulation, high-frequency transcranial magnetic stimulation and pulsed electromagnetic field therapy which can also be used in the domestic setting. In this review, we discuss the mechanisms and therapeutic applications of electromagnetic therapy to alleviate motor and non-motor deficits that characterize Parkinson's disease

A two-warehouse inventory model for non-instantaneous deteriorating items with interval-valued inventory costs and stock-dependent demand under inflationary conditions

This research work develops a two-warehouse inventory model for non-instantaneous deteriorating items with interval-valued inventory costs and stock-dependent demand under inflationary conditions. The proposed inventory model permits shortages, and the backlogging rate is variable and dependent on the waiting time for the next order, and inventory parameters are interval-valued. The main aim of this research is to obtain the retailer’s optimal replenishment policy that minimizes the present worth of total cost per unit time. The optimization problems of the inventory model have been formulated and solved using two variants of particle swarm optimization (PSO) and interval order relations. The efficiency and effectiveness of the inventory model are validated with numerical examples and a sensitivity analysis. The proposed inventory model can assist a decision maker in making important replenishment decisions.</p

Estimating Costs in the EOQ Formula

[EN] The EOQ formula (Harris, Fact Mag Manage 10(2):135-6-152, 1913) provides a balance between setup costs and holding costs in the system. This formula has been widely developed in the literature. However in the industrial reality, it is often difficult to know the exact value of these setup and holding costs. In this paper, we develop a formula to estimate lot size from the values known in the company. It is verified that the behavior of these formulas meets expectations.The work described in this paper has been supported by Project “CORSARI MAGIC DPI2010-18243” from the Spanish Ministry of Science and Innovation.Vidal-Carreras, PI.; García Sabater, JP.; Valero-Herrero, M.; Santandreu Mascarell, C. (2014). Estimating costs in the EOQ formula. Lecture Notes in Management and Industrial Engineering. 4(1):175-182. https://doi.org/10.1007/978-3-319-04705-8_20S17518241Bomberger EE (1966) A dynamic programming approach to a lot size scheduling problem. Manage Sci 12(11):778Brander P, Segerstedt A (2009) Economic lot scheduling problems incorporating a cost of using the production facility. Int J Prod Res 47(13):3611–3624Goyal SK (1985) Economic order quantity under conditions of permissible delay in payments. J Oper Res Soc 44:785–795Harris FW (1913) How many parts to make an once. Fact Mag Manage 10(2):135-6-152Huang YF (2007) Economic order quantity under conditionally permissible delay in payments. Eur J Oper Res 176(2):911–924Jaggi CK, Goyal SK, Goel SK (2008) Retailer’s optimal replenishment decisions with credit-linked demand under permissible delay in payments. Eur J Oper Res 190(1):130–135Lee WJ (1993) Determining order quantity and selling price by geometric programming: optimal solution, bounds, and sensitivity. Decision Sci 24(1):76–87Meyer B (2004) Value-adding logistics for a world assembly line. Bonifatius Verlag, PaderbornMo J, Mi F, Zhou F, Pan H (2009) A note on an EOQ model with stock and price sensitive demand. Math Comput Model 49(9):2029–2036Sadjadi SJ, Oroujee M, Aryanezhad MB (2005) Optimal production and marketing planning. Comput Optim Appl 30(2):195–203Shirodkar S, Kempf K (2006) Supply chain collaboration through shared capacity models. Interfaces 36(5):420–432Taleizadeh AA, Pentico DW, Saeed Jabalameli M, Aryanezhad M (2013) An EOQ model with partial delayed payment and partial backordering. Omega 41(2):354–368Vidal-Carreras PI, Garcia-Sabater JP, Coronado-Hernandez JR (2012) Economic lot scheduling with deliberated and controlled coproduction. Eur J Oper Res 219(2):396–404Whitin TM (1955) Inventory control and price theory. Manage Sci 2(1):61–68You PS, Chen TC (2007) Dynamic pricing of seasonal goods with spot and forward purchase demands. Comput Math Appl 54(4):490–49

Combining the Inventory Control Policy with Pricing and Advertisement Decisions for a Non-instantaneous Deteriorating Product

Part 3: Production Management Theory and MethodologyInternational audienceA non-instantaneous deteriorating item refers to the product that its deterioration starts after a specific period time rather than starting instantly of its arrival in stock. In this paper, we study the inventory control policy for a non-instantaneous deteriorating item subject to pricing and advertising decisions. The demand function is price- and- time-dependent and shortage is allowed and partially backlogged. The retailer aims to maximize its total profit determining the optimal selling price and inventory control variables. We formulate the proposed model and develop an algorithm to indicate the optimal solution. Finally, we extend a numerical example with discussion to show the efficiency of the proposed model