scholarly journals Generalized Economic Order Quantity Inventory Model using Brownian Motion in Food Production Planning

The goal of this paper is to propose a Generalized EOQ inventory model, which combines Inventory replenishment and pricing decisions for perishable product in an Inventory model. The Stochastic Demandrequests for new and old items are derivedvia linear functions of their cost. The proposed solution obtains from the optimum system solution, such as food Procurement price, Shortage cost, Purchasing cost, Operational cost and Total costare reduced. A Mathematical model is introduced along with differential matrix to find optimal solutions for the Inventory method in food production planning. Numerical example and Sensitivity Analysis are explained in the proposed system. Brownian Motion are found from Cycle Length (L= 1.1 to 1.5). The Brownian Motionanalyses all the costs and plays a major part to reduce it further.

IEEE Access ◽  
2019 ◽  
pp. 1-1
Author(s):  
Lianxia Zhao ◽  
Li Zhang ◽  
Jianxin You ◽  
Chunyan Duan.

2020 ◽  
Vol 84 ◽  
pp. 106609
Author(s):  
Farhad Angizeh ◽  
Hector Montero ◽  
Abhinay Vedpathak ◽  
Masood Parvania

2019 ◽  
Vol 133 ◽  
pp. 175-185 ◽  
Author(s):  
Moonsoo Shin ◽  
Hwaseop Lee ◽  
Kwangyeol Ryu ◽  
Yongju Cho ◽  
Young-Jun Son

Author(s):  
Olga Khodakivska

This article reveals the economic and social preconditions of ecologization agricultural production. Purpose of this article is to offer a system solution of environmental problems in the agricultural sphere both at the global and local levels. It has been found that meeting the needs of mankind is accompanied by new innovative technological solutions that are sometimes dangerous to human life and health, and increase in the food production in developing countries is accompanied by depletion of natural resources, specifically land and water. On the basis of scientific and special methods of economic research, core areas of ecologization agricultural production have been grounded: meeting the needs of the population in the environment-friendly food; ensuring people environmental safety; use of technologies and methods of agricultural production that do not harm human health and the environment.


2021 ◽  
Vol 55 (2) ◽  
pp. 723-744
Author(s):  
Sujit Kumar De ◽  
Gour Chandra Mahata

This paper presents an economic order quantity (EOQ) inventory model for imperfect quality items with receiving a reparative batch and order overlapping in a dense fuzzy environment Here, the imperfect items are identified by screening and are divided into either scrap or reworkable items. The reworkable items are kept in store until the next items are received. Afterwards, the items are returned to the supplier to be reworked. Also, discount on the purchasing cost is employed as an offer of cooperation from a supplier to a buyer to compensate for all additional holding costs incurred to the buyer. The rework process is error free. An order overlapping scheme is employed so that the vendor is allowed to use the previous shipment to meet the demand by the inspection period. However, we assume the total monthly demand quantity as the dense fuzzy number because of learning effect. Moreover, first of all a profit maximization deterministic model is developed and solve by classical method. Fuzzifying the final optimized function via dense fuzzy demand quantity we have employed extended ranking index rule for its defuzzification. During the process of defuzzification we make an extensive study on the paradoxical unit square of the left and right deviations of dense fuzzy numbers. A comparative study is made after splitting the model into general fuzzy and dense fuzzy environment. Finally numerical and graphical illustrations and sensitivity analysis have been made for its global justifications.


2019 ◽  
Vol 75 (1) ◽  
pp. 43-53
Author(s):  
Shengna Liu ◽  
Xiaochuan Liu ◽  
Liancun Zheng

AbstractThis article investigates boundary layer mechanism of a two-phase nanofluid over a thin liquid film of power-law fluid. We take the coupled interface dynamics between the thin liquid film and nanofluid into consideration, where the thermal conductivity and dynamic viscosity are assumed to be linear functions of nanoparticle concentration. The influence of Brownian motion and thermophoresis of the nanofluid is also considered. Numerical results are carried out by employing similarity transformation and bvp4c technique. The heat and mass transfer in the flow boundary layer are analysed by relevant parameters with the assistance of graphs. The results show that heat conduction decreases significantly with the increase of rheological properties parameter and tensile velocity ratio. Rheological properties parameter, tensile velocity ratio, Brownian motion parameter and thermophoresis parameter play important roles in mass transfer.


1997 ◽  
Vol 34 (1) ◽  
pp. 54-65 ◽  
Author(s):  
Liqun Wang ◽  
Klaus Pötzelberger

An explicit formula for the probability that a Brownian motion crosses a piecewise linear boundary in a finite time interval is derived. This formula is used to obtain approximations to the crossing probabilities for general boundaries which are the uniform limits of piecewise linear functions. The rules for assessing the accuracies of the approximations are given. The calculations of the crossing probabilities are easily carried out through Monte Carlo methods. Some numerical examples are provided.


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