Can Producers’ Price War End Up in an Optimal Allocation?

The paper presents a theoretical framework for the phenomenon of the price war in the context of general equilibrium, with special attention to the production system. The natural question that arises is whether Nash-optimal production plans being the reactions to the changing prices can finally approximate a Nash-optimal production plan at the end of this war. To provide an answer, the production system is described as a parametric-multicriteria game. Referring to some results on the lower semicontinuty of the parametric weak-multicriteria Nash equilibria, we provide a positive answer for the stated problem.

An optimal production plan for cashew nuts community enterprise using metaheuristic algorithms

The proper production plan plays an important role in the cashew nuts market enterprise in order to reduce cost. This study aims to find the optimal production plan for cashew nuts using ant lion optimization (ALO), symbiotic organisms search (SOS), particle swarm optimization (PSO) and artificial bee colony algorithm (ABC). The novel objective function is introduced in this study. Three input data set, including production cost, holding cost and inventory quantity are investigated. The experiment cases consist of the frequency of production cycle time in January, February and March, respectively. As a results, four algorithms are available to estimate not only the proper production plan of cashew nuts but also an ability in reducing the inventory and the holding costs. In summary, the ALO algorithm provides better predictive skill than others for the cashew nuts production plan with the lowest RMSE value of 0.0913.

A Solution to Ensure Ventilation when Expanding the Area of Cam Thanh Underground Coal Mine, Ha Long Coal Company, Vietnam

In the process of underground mining, the mining system changes for various reasons. One ofthe main reasons is changes in the mining production plans, especially the scales and outputs. Nowadays,coal mines in Vietnam have been expanding in width and depth, and so have the mines’ ventilationsystems. Consequently, there will be changes in the alteration of the structure of the design ventilationsystem, which reduces the effectiveness of the ventilation and does not meet the main objective of mineventilation, directly affect the safety of the working environment in the mine. Therefore, it is necessary toresearch the improvement of the ventilation system with the development and specific conditions ofunderground coal mines in Vietnam, improving the efficiency of the ventilation work and assuring thesafety of the mine environment. Cam Thanh coal mine, Ha Long coal company, Vietnam, is the case studyfor this research. The article considers the plan of increases the mining output by more than 1.5 times,propose solutions to improve the ventilation system accordingly, helping the company proactivelyimplement the production plan, ensure the working environment's safety, and reduce the costs of mineventilation.

Geoscience Assessment of Declined Production Rate and Recovery from a Reservoir in “ANDA” Field, Onshore Southwestern Niger Delta

Declined production rates in wells producing from common reservoirs are enigmatic and generally viewed as phenomenal in some fields worldwide. The challenge posed by such discordant production trends forecloses the preponderance of totally and partially abandoned production, especially in aging fields. This study assesses possible factors associated with varying well production trends from a common reservoir in a field in the onshore western Niger Delta, by integrating multi-geoscience parameters including formation evaluation, 3D quantitative seismic analyses, paleoenvironmental diagnoses, paleobathymetric studies, and reservoir petrophysics to unravel the complexity of the reservoir. Composite well logs were collected from five wells selected for the study. Gamma-ray and SP logs were combined to delineate the depositional environment of "Heri sand" based on Schlumberger's (1985) log motif classification. The results were applied and found useful to develop an optimum recovery production plan for the study field. It has been revealed from this study that declined production performances of the Heri sand reservoir are attributed to the deposition of the reservoir in three distinct paleoenvironments under different bathymetric settings within a coeval period. These factors constitute strong influences on the petrophysics of the reservoir which invariably influences’ the production performance of the reservoir. Having realized the cause of the declined rate of the reservoir in the Anda field, the reservoir can be revitalized by well injection and fracturing.

Optimasi perencanaan produksi menggunakan metode linier goal programming (studi kasus pada UD. Koing)

Small Medium Enterprise (SME) industry hold significant role in economic development. In order to be competitive in competition, industry demanded to be able to make optimum production plan for fulfilling the customer needs. UD KOING as one of product made based skin manufacture company from time to time demanded to maximize profit production-target volume, formulating model problems and optimization of raw material. The answer of all those challenges are by using goal programming method, where this method can achieve more than one goal only. Based on the data procession, that the company tarvet can be achieved thrugh the company profit IDR 7.089.620 and total production cost is IDR 16.635.380 by producing wallet total 51 pcs, purse 9 pcs, nametag 13 pcs, pouch 15pcs and necklace 14 pcs.

Dispatch Optimization Model for Haulage Equipment between Stopes Based on Mine Short-Term Resource Planning

The working environment of underground mines is complicated, making it difficult to construct an underground mine production plan. In response to the requirements for the preparation of a short-term production plan for underground mines, an optimization model for short-term resource planning was constructed, with the goal of maximizing the total revenue during the planning period. The artificial bee colony optimization algorithm is used to solve the model using MATLAB. According to the basic requirements of underground mine ore haulage and ore hoisting, a haulage equipment inter-stopes dispatch plan model was constructed, with the primary goal of minimizing the haulage equipment wait time. A non-dominated sorting genetic algorithm is used to solve the optimization model. An underground mine is examined using the two models, and the optimization results are compared and verified with the scheme obtained by using traditional optimization algorithms. Results show that based on the improved optimization algorithm, the use of short-term production planning schemes to guide mine production operations can increase the haulage equipment utilization rate, thereby increasing mine production revenue.

Optimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty

The operation of on-site power plants in the chemical industry is typically determined by the steam demand of the production plants. This demand is uncertain due to deviations from the production plan and fluctuations in the operation of the plants. The steam demand uncertainty can result in an inefficient operation of the power plant due to a surplus or deficiency of steam that is needed to balance the steam network. In this contribution, it is proposed to use two-stage stochastic programming on a moving horizon to cope with the uncertainty. In each iteration of the moving horizon scheme, the model parameters are updated according to the new information acquired from the plants and the optimisation is re-executed. Hedging against steam demand uncertainty results in a reduction of the fuel consumption and a more economic generation of electric power, which can result in significant savings in the operating cost of the power plant. Moreover, unplanned load reductions due to lack of steam can be avoided. The application of the new approach is demonstrated for the on-site power plant of INEOS in Köln, and significant savings are reported in exemplary simulations.

Klasifikasi Rasa Susu Almond Berdasarkan Minat Pelanggan Menggunakan Algoritma C4.5 di Home Made MamiNia Ice Pematangsiantar

Almond milk is a plant-based milk drink made from almonds. Almond juice has a paler color and a thicker texture than regular milk. As for the benefits of almond milk in the world of health, namely to increase breast milk production, prevent high blood pressure, strengthen immunity, protect bone health, maintain baby's heart health, prevent free radicals, facilitate digestion, make skin bright after childbirth. Data mining is part of the Knowledge Discovery in Database (KDD) process stage. Therefore, the authors provide a classification solution in Data Mining is done using the Algorithm C4.5. With the Algorithm C4.5 you will get a Decision Tree that is easy to understand and easy to understand. Thus, it can help the owner determine the almond milk production plan that is most in demand and without worrying about excess goods or shortages of ingredients.

On the work of the medical team during the spring sowing season in 1932 at the "Jedalik" collective farm of the Nariman village council of the Aravan-Burin region Kir. YSSR

Plan: 1 / General characteristics of the collective farm, 2 / production plan, 3 / work of the health center: a / introduction of a minimum of sanitary, b / approaching first aid to the brigade, c / organization of sanitary posts, d / combating injuries and simulation and absenteeism, e / organization and assistance to a kindergarten and a playground, f / provision of medical assistance at a health center, the fight against smallpox.