scholarly journals Mathematical modeling of optimal product supply strategies for manufacturer-to-group customers based on semi-real demand patterns

2020 ◽  
Vol 12 ◽  
pp. 184797902094148
Author(s):  
Zhiyi Zhuo ◽  
Ka Yin Chau ◽  
Shizheng Huang ◽  
Yun Kit Ip

Customer demand is the core of the vendor’s implementation of product supply strategies. There are three different patterns of demand: real demand, false demand, and semi-real demand. For this article, we study the product supply strategy formulated for manufacturer-to-group customers based on a semi-real demand pattern. Firstly, we construct two mathematical models in which the manufacturer obtains the best profit based on the two supply modes in the semi-real demand pattern. Secondly, we solve the optimal production volume and optimal pricing. Finally, numerical examples are used to verify the validity of the model. In accordance with the optimization principle, results of the analysis are extended to the range of optimal value of product profit in the demand model, so as to explore the mechanism of manufacturers for maximizing group customers’ product profits under the semi-real demand model.

2016 ◽  
Vol 50 (9/10) ◽  
pp. 1672-1702 ◽  
Author(s):  
Ji Yan ◽  
Kun Tian ◽  
Saeed Heravi ◽  
Peter Morgan

Purpose This paper aims to investigate consumers’ demand patterns for products with nutritional benefits and products with no nutritional benefits across processed healthy and unhealthy foods. This paper integrates price changes (i.e. increases and decreases) into a demand model and quantifies their relative impact on the quantity of food purchased. First, how demand patterns vary across processed healthy and unhealthy products is investigated; second, how demand patterns vary across nutrition-benefited (NB) products and non-nutrition-benefited (NNB) products is examined; and third, how consumers respond to price increases and decreases for NB across processed healthy and unhealthy foods is investigated. Design/methodology/approach Here, a demand model quantifying scenarios for price changes in consumer food choice behaviour is proposed, and controlled for heterogeneity at household, store and brand levels. Findings Consumers exhibit greater sensitivity to price decreases and less sensitivity to price increases across both processed healthy and unhealthy foods. Moreover, the research shows that consumers’ demand sensitivity is greater for NNB products than for NB products, supporting our prediction that NB products have higher brand equity than NNB products. Furthermore, the research shows that consumers are more responsive to price decreases than price increases for processed healthy NB foods, but more responsive to price increases than price decreases for unhealthy NB foods. The findings suggest that consumers exhibit a desirable demand pattern for products with nutritional benefits. Originality/value Although studies on the effects of nutritional benefits on demand have proliferated in recent years, researchers have only estimated their impact without considering the effect of price changes. This paper contributes by examining consumers’ price sensitivity for NB products across processed healthy and unhealthy foods based on consumer scanner data, considering both directionalities of price changes.


2016 ◽  
Vol 84 (2) ◽  
Author(s):  
Victor Birman ◽  
Nam Vo

This paper illustrates the effectiveness of a functionally graded core in preventing wrinkling in sandwich structures. The problem is solved for piecewise and continuous through-the-thickness core stiffness variations. The analysis is extended to account for the effect of temperature on wrinkling of a sandwich beam with a functionally graded core. The applicability of the developed theory is demonstrated for foam cores where the stiffness is an analytical function of the mass density. In this case, a desirable variation of the stiffness can be achieved by varying the mass density through the thickness of the core. Numerical examples demonstrate that wrinkling stability of a facing can significantly be increased using a piecewise graded core. The best results are achieved locating the layers with a higher mass density adjacent to the facing. A significant increase in the wrinkling stress can eliminate wrinkling as a possible mode of failure, without noticeably increasing the weight of the structure. In the case of a uniform temperature applied in addition to compression, wrinkling in a sandwich beam with a functionally graded core is affected both by its grading as well as by the effect of temperature on the facing and core properties. Although even a moderately elevated temperature may significantly lower the wrinkling stress, the advantage of a graded core over the homogeneous counterpart is conserved.


2016 ◽  
Vol 51 (3) ◽  
pp. 513-528 ◽  
Author(s):  
Joni Lovenduski

This contribution takes a look back at the supply and demand model of selection and recruitment, developed by Joni Lovenduski and Pippa Norris in Political Recruitment: Gender, Race and Class in the British Parliament (1995). The core understanding of this model was that candidate selection was an interactive process in which both selectors and aspirants affected outcomes that were organized in several sets of institutions. The model illuminates power in particular institutions – British political parties – and was designed to examine the various effects of the selection process. This contribution reflects on the model and puts forward ideas and arguments about what might be done differently, taking into account the theoretical and methodological innovations of the succeeding generation of scholars who have used the model. It also identifies remaining challenges for research on candidate selection and suggests that the supply and demand model is sufficiently flexible that it can still travel across national, system and party boundaries.


Author(s):  
SHAIK MOHAMMED GOUSE ◽  
G. PRAKASH BABU

Cloud applications that offer data management services are emerging. Such clouds support caching of data in order to provide quality query services. The users can query the cloud data, paying the price for the infrastructure they use. Cloud management necessitates an economy that manages the service of multiple users in an efficient, but also, resource economic way that allows for cloud profit. Naturally, the maximization of cloud profit given some guarantees for user satisfaction presumes an appropriate price-demand model that enables optimal pricing of query services. The model should be plausible in that it reflects the correlation of cache structures involved in the queries. Optimal pricing is achieved based on a dynamic pricing scheme that adapts to time changes. This paper proposes a novel price-demand model designed for a cloud cache and a dynamic pricing scheme for queries executed in the cloud cache. The pricing solution employs a novel method that estimates the correlations of the cache services in an time-efficient manner. The experimental study shows the efficiency of the solution.


2021 ◽  
Author(s):  
Marek Czupski

During the matrix acidizing of carbonate formations, channels with high permeability are created, known as wormholes. The effectiveness of this type of treatment depends primarily on the structure, geometry, and the depth of penetration of the wormholes beyond the damaged zone. This should be ensured by a properly developed acidizing fluid, which in the case of carbonate formations most often consists of solutions of hydrochloric acid and/or organic acids such as acetic or formic acid. Additionally, in the case of high-temperature formations, additives are used to reduce the reaction rate of acid with the reservoir rock. The Damköhler number (Da) is an important factor that influences the model of the wormholes created. It represents the ratio of the rate of the reaction between the acid and the rock to the rate of its convection along the wormhole. The aim of the study was to determine the Damköhler number for four selected acidizing liquid–rock systems and to confirm that the structure of the wormholes depends on this variable. As part of the work, rheological tests of gelled acidizing liquids using a viscoelastic surfactant were conducted. The reaction rate tests were carried out on core plugs cut from Pińczów limestone and Guelph dolomite, which are characterized by relatively low permeability and porosity coefficients: 9.11–14.23 × 10−15m2 and 28.51%–29.10%, respectively, in the case of Pińczów limestone and 3.69–7.48 × 10−15m2 and 7.67%–9.38%, respectively, for Guelph dolomite. A rotating disk apparatus was used to determine the kinetics of the reaction of these rocks with two types of acidizing liquids. Then, core flow tests were performed on the core plugs using the AFS-300 system for the same types of rocks and liquids. The core plugs of Pińczów limestone used in these tests had a permeability coefficient ranging from 9.65 to 26.27 × 10−15m2 and a porosity coefficient ranging from 28.78% to 31.29%. On the other hand, samples of the Guelph dolomite had permeability coefficients of 7.48 to 61.52 × 10−15m2, while the porosity was much lower, ranging from 7.63% to 10.60%. After the core flow tests, the Damköhler number was calculated for each identified wormhole, using X-ray computed microtomography combined with an analysis of the geometric parameters. The types of structures that are formed in carbonate rocks as a result of matrix acidizing and their impact on the effectiveness of treatment are described in the theoretical part of this publication. Seven models of carbonate acidizing, which are used to estimate the influence of the parameters of the treatment and the properties of the liquid and rock on the efficiency of the acidizing process, are also discussed. Particular attention was paid to the theory of the Damköhler number, the value of which determines the formation of wormholes. The tests showed that at 80°C the overall reaction rate for each of the four acidizing liquid–rock systems was controlled by the mass transport rate. It was found that a gelled 15% HCl solution using TN-16235 viscoelastic surfactant reduced the overall reaction rate by reducing the mass transport rate. In the case of Pińczów limestone, the addition of 7.5% TN‑16235 surfactant reduced the De value from 4.45 × 10−6cm2/s to 3.53 × 10−6cm2/s; for Guelph dolomite De decreased from 2.25 × 10−6cm2/s to 1.97 × 10−6cm2/s. The values of the acidizing liquid pore volumes required to break through the core plug (PVbt) were determined based on the core flow tests. The lowest values of this parameter for Pińczów limestone were 0.26 for a 15% HCl solution and a velocity of 2.93 cm/min and 0.28 for a gelled 15% HCl solution and a velocity of 0.30 cm/min. For the Guelph dolomite rock, they were 0.88 for a 15% HCl solution and a velocity of 3.68 cm/min and 0.25 for a gelled 15% HCl solution and a velocity of 1.00 cm/min. Gelling a liquid with TN-16235 viscoelastic surfactant thus enables efficient matrix acidizing of carbonate formations with lower pumping rates. It was also found that the model of dissolution of the porous medium by a given acidizing liquid depended on the value of the Damköhler number. For wormholes created in the plugs of Pińczów limestone using the 15% HCl solution, the calculated values of Da were in the range of 0.244 to 0.026 (optimal value: 0.031); for the gelled 15% HCl solution it ranged from 0.145 to 0.008 (optimal value: 0.097). The optimal value for Da was considered to be the value for which wormholes were able to penetrate the entire length of the core with minimal acid spending described by PVbt. For wormholes etched in the Guelph dolomite rock by the 15% HCl solution, the calculated values of Da ranged from 0.104 to 0.030 (optimal value: 0.066), and for the gelled 15% HCl solution they ranged from 0.188 to 0.030 (optimal value: 0.069). The research methodology presented in this paper allows the Damköhler number to be determined for acidizing liquid–rock systems, and thus facilitates the preparation of technology for matrix acidizing of carbonate formations in such a way as to make these treatments as effective as possible. Keywords: matrix acidizing, Damköhler number, viscoelastic surfactant


Author(s):  
An.A. Aleksandrov

The paper states an industrial engineering problem concerning industrial enterprises manufacturing goods for seasonal industries and activities. We developed a method for selecting optimum enterprise production capacity and forming a production plan that allows for meeting seasonal increases in demand, simultaneously ensuring rational utilisation of human resources, manufacturing equipment and storage facilities. The basis of the method is seeking the production volume function by minimising total expenditures for storage and manufacturing of goods, provided the seasonal demand is fully met over the whole period. We present a numerical implementation algorithm for our method and a calculation example. The main stages of the algorithm are as follows: setting the demand function; computing the core production capacity as dictated by steady equipment utilisation; varying the production plan until the minimum total expenditure condition is met. We ran a series of simulations that allowed us to establish the function describing the optimum production capacity as a fraction of the core capacity for various ratios of manufacturing expenditures to storage expenditures, and as a function of the overpayment rate for additional capacities


2019 ◽  
Vol 91 ◽  
pp. 08069
Author(s):  
Elena Marys ◽  
Natalia Meller ◽  
Inna Nekrasova ◽  
Elena Rechapova

The article observes the methodology and practices of formulating and solving the problem of resource distribution for the industrial enterprise effective management. Methods and models of linear programming are widely used when solving problems of economical and efficient use of resources. One of the tasks solved by the method of linear programming is to determine the optimal production volume having limited resources. The implementation of the found optimal plan will ensure the achievement of the company’s goal of maximum efficiency. Secondly, the mobilization of surplus resources within the identified reserves will increase the efficiency of the industrial enterprise, and thus stabilize its market positions.


2019 ◽  
Vol 9 (22) ◽  
pp. 4903
Author(s):  
María Pérez-Salazar ◽  
Alberto Aguilar-Lasserre ◽  
Miguel Cedillo-Campos ◽  
Rubén Posada-Gómez ◽  
Marco del Moral-Argumedo ◽  
...  

The aim of this paper is to contribute to the thread of research regarding the need for logistic systems for planning and scheduling/rescheduling within the agro-industry. To this end, an agent-based model driven decision support system for the agri-food supply chain is presented. Inputs in this research are taken from a case example of a Mexican green coffee supply chain. In this context, the decision support agent serves the purposes of deriving useful knowledge to accomplish (i) the decision regarding the estimation of Cherry coffee yield obtained at the coffee plantation, and the Parchment coffee sample verification decision, using fuzzy logic involving an inference engine with IF-THEN type rules; (ii) the production plan establishment decision, using a decision-making rule approach based upon the coupling of IF-THEN fuzzy inference rules and equation-based representation by means of mixed integer programming with the aim to maximize customer service level; and (iii) the production plan update decision using mathematical equations once the customer service level falls below the expected level. Three scenarios of demand patterns were considered to conduct the experiments: increasing, unimodal and decreasing. We found that the input inventory and output inventory vary similar over time for the unimodal demand pattern, not the case for both the increasing and decreasing demand patterns. For the decreasing demand pattern, ten tardy orders for the initial production schedule, an 88% service level, and nineteen tardy orders from the estimated production results, a 77% service level. This value falls below the expected level. Consequently, the updated aggregate production schedule resulted in ten tardy orders and an 88% service level.


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