Hybrid journal (It can contain Open Access articles) ISSN (Print) 1757-5850 - ISSN (Online) 1757-5869 Published by Inderscience Publishers[451 journals]
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Authors:R.P. Tripathi Pages: 429 - 443 Abstract: The retailer makes a decision, the initial holding cost at the beginning of each replenishment cycle and then concludes whether and how to change the carrying costs during the cycle. Thus, during each cycle, items are sold before and after the carrying cost modification at two costs: the initial holding cost and the used holding cost. Of course, the two prices may be the same if the retailer chooses not to change prices. In this study, an inventory model is established under time linked demand and deterioration. Carrying cost is considered exponential time dependent. Mathematical formulation is given to build up the model. The numerical examples are discussed to authenticate the model projected in this study. Some results based on optimal solution are also discussed. We then show that the total cost is curved upward by means of cycle time. The sensitivity investigation is also established. Keywords: inventory; deterioration; demand; exponential holding cost; credit period Citation: International Journal of Mathematics in Operational Research, Vol. 21, No. 4 (2022) pp. 429 - 443 PubDate: 2022-05-12T23:20:50-05:00 DOI: 10.1504/IJMOR.2022.122806 Issue No:Vol. 21, No. 4 (2022)
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Authors:S. Maragathasundari, S. Kishore Eswar, R.S. Somasundaram Pages: 444 - 465 Abstract: This paper manages the queuing issue of various vacation policies. Clients showing up in clumps follow a Poisson distribution. Administration, on the other hand, follows a general distribution, rendered in two phases in which the second phase of administration is discretionary. Here, during the vacation period, the support work of the server is completed. Also 'get-away' is presented in two classifications, viz. compulsory vacation and broadened vacation, both following general conveyance. Expanded vacation is regarded to have two phases, in which the second phase of broadened get-away is of the server's decision. Set up time arrange is presented on the early stage of expanded vacation and with the idea of reneging occurring during the second phase of broadened vacation. The issue is solved by strengthening the variable technique and queue measures with the force parameter, mean inactive time, mean number of clients, and mean waiting time in the queue, determined in the system. The paper contains the numerical depiction and graphical appraisal that supports the model. Keywords: multi vacation; composite materials; reneging; extended vacation; two stages of service Citation: International Journal of Mathematics in Operational Research, Vol. 21, No. 4 (2022) pp. 444 - 465 PubDate: 2022-05-12T23:20:50-05:00 DOI: 10.1504/IJMOR.2022.122809 Issue No:Vol. 21, No. 4 (2022)
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Authors:John Olusola Kuboye, Bamikole Gbenga Ogunware, Ezekiel Olusola Abolarin, Chika O. Mmaduakor Pages: 466 - 479 Abstract: A potent numerical algorithm for solving first and second orders initial value problems is examined in this paper. Interpolation and collocation approach was applied in the derivation of the new method with the use of power series approximate solution as interpolating polynomial. The two numerical integrators that formed the block were derived by evaluating the non-interpolating points within the selected interval of integration. To examine the effectiveness of the block, it was tested on some first and second orders ordinary differential equations and results generated performed better when compared with existing methods in terms of accuracy. Keywords: block method; collocation; hybrid; interpolation; power series; first order IVP; second order IVP Citation: International Journal of Mathematics in Operational Research, Vol. 21, No. 4 (2022) pp. 466 - 479 PubDate: 2022-05-12T23:20:50-05:00 DOI: 10.1504/IJMOR.2022.122805 Issue No:Vol. 21, No. 4 (2022)
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Authors:Hassan Bagheri, Javad Behnamian, Samaneh Babaei Morad Pages: 480 - 496 Abstract: The aim of this study is to determine the location of the lead and zinc site considering environmental criteria. Within a radius of 5 km-10 km of the province under study, there are about 150 lead and zinc plants, which increase the pollution of the city and various diseases. If the plants are closed, about 3,500 people will be unemployed, with the industry mines, and national capital severely affected. Another option is to move these plants to a radius of 100 km in the province, which will cost a lot. Since the fuzzy sets theory method has been widely applied to uncertain decision-making problems in the real-world, in this study and for the first time, to select the appropriate option according to the criteria affecting environmental pollution, disease prevalence, income, unemployment rate, corruption, and cost, a multi-criteria decision-making technique with a hybrid fuzzy approach has been used. The proposed method is a hybrid of the TOPSIS fuzzy technique and a fuzzy hierarchical process that takes advantage of both of them. The results obtained in the case study show that using the proposed method, the best option is moving plants within a radius of 100 km from the city. Keywords: location problem; fuzzy multi-criteria decision-making; lead; zinc; hybrid approach; Iran Citation: International Journal of Mathematics in Operational Research, Vol. 21, No. 4 (2022) pp. 480 - 496 PubDate: 2022-05-12T23:20:50-05:00 DOI: 10.1504/IJMOR.2022.122803 Issue No:Vol. 21, No. 4 (2022)
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Authors:Faiza Saadi, Ahmed Chibat Pages: 497 - 514 Abstract: The choice of the initial values of neural network parameters is of crucial importance for the conduct and successful completion of training. The most known and most used method to perform this task is the Nguyen-Widrow method. It has brought a well-established advantage over the traditional method of purely random choice. However, this advantage is not always guaranteed. A hidden defect can appear in some situations leading to a quality deteriorate of training. In this work, the existence of this hidden defect is revealed and the way to remedy this is proposed. We show how a simple procedure, built on conditional resets, eliminates unsuitable starting conditions and ensures the steadiness of good training quality. In this way, the search for the optimal architecture of a network when processing any given problem becomes faster and more reliable. Keywords: neural networks; weight initialisation; function approximation; regression Citation: International Journal of Mathematics in Operational Research, Vol. 21, No. 4 (2022) pp. 497 - 514 PubDate: 2022-05-12T23:20:50-05:00 DOI: 10.1504/IJMOR.2022.122804 Issue No:Vol. 21, No. 4 (2022)
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Authors:Ashish Sharma, Amit Kumar Saraswat Pages: 515 - 528 Abstract: In practice, items like food, nursery plants, medicines, etc. are seasonal and deteriorating in nature. For this type of products, permissible delay in payment is a common business policy, which is used to increase in the sell volume and to develop trust in buyer-seller relationship. In this paper, we developed an inventory model for time dependent deteriorating seasonal items with the permission of delay in payment. Shortages are permitted and partially back ordered. Our aim is to find optimal selling price and ordering quantity simultaneously. Concavity of profit function with respect to decision variables has been discussed analytically. A solution procedure followed by a numerical example and sensitivity analysis along with managerial insights are provided. Numerical analysis predicts that delay in payment profit policy is a better decision in order to maximise the profit or in order to get more profit. Keywords: inventory; deterioration; price and time dependent demand; delay payment; seasonal demand Citation: International Journal of Mathematics in Operational Research, Vol. 21, No. 4 (2022) pp. 515 - 528 PubDate: 2022-05-12T23:20:50-05:00 DOI: 10.1504/IJMOR.2022.122802 Issue No:Vol. 21, No. 4 (2022)
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Authors:Renu Sharma, Anubhav Pratap Singh, Ritu Arora, Anand Chauhan Pages: 529 - 553 Abstract: Volatility in the prices of crude oil creates a very complicated situation for the management of an inventory system. As a result, an unexpected shift in cost parameters occurs. A model of economic order quantity (EOQ) is developed to control the inventory in that situation when a decision-maker is not able to clearly express the cost parameters at the beginning of a system design. Such type of situation is created due to volatility in the price. The purpose of the article is to study the impact of inconclusive cost parameters on total average cost. The holding cost, ordering cost, deterioration cost, and shortage cost are assigned by fuzzy numbers. Then, graded mean integration method (GMIM) is used to defuzzified the total average cost. A comparative study in a crisp environment and fuzzy environment is validated as an explicit condition to control the inventory for reducing the optimum cost. Keywords: economic order quantity; EOQ; trapezoidal fuzzy number; triangular fuzzy number; graded mean integration method Citation: International Journal of Mathematics in Operational Research, Vol. 21, No. 4 (2022) pp. 529 - 553 PubDate: 2022-05-12T23:20:50-05:00 DOI: 10.1504/IJMOR.2022.122808 Issue No:Vol. 21, No. 4 (2022)
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Authors:Ahmed R. Abubakar, Hamisu A. Adamu, Asuku Abdulsamad, Yusuf A. Sha'aban Pages: 554 - 567 Abstract: This paper presents the development of a second-order polynomial model for the prediction of power of a typical miniature neutron source reactor (MNSR). Using the least-squares method, the model coefficients were generated from thermal power and reactor core coolant temperature as dependent and independent variables, respectively. Operational data were collected at 1-minute intervals, for a total of 100 minutes each for 6.20 kW, 15.50 kW, and 31.0 kW. The mean absolute deviation (MAD) obtained during validation using the developed model (QModel), at 6.2 kW, 12.4 kW, 15.5 kW, 18.6 kW, 24.8 kW and 31 kW were: 0.51, 0.25, 0.38, 0.29, 0.44, and 0.50 respectively while the corresponding results from earlier work were 3.03, 3.36, 3.49, 2.24, 1.24, and 5.71. The QModel gave a better power prediction with an error deviation of less than ±5%. Keywords: miniature neutron source reactor; MNSR; Nigeria research reactor-1; NIRR-1 Citation: International Journal of Mathematics in Operational Research, Vol. 21, No. 4 (2022) pp. 554 - 567 PubDate: 2022-05-12T23:20:50-05:00 DOI: 10.1504/IJMOR.2022.122807 Issue No:Vol. 21, No. 4 (2022)
Hybrid journal (It can contain Open Access articles)
[451 journals]
