scholarly journals Integration of manufacturing and pricing for downward substitution products decision-making

2021 ◽  
Author(s):  
Hua He
Keyword(s):  
Decision Making ◽  
Trade Policy ◽  
Green Technology ◽  
Optimal Order ◽  
Cap And Trade ◽  
Joint Decision ◽  
Single Period ◽  
Order Quantities ◽  
Decision Making Model ◽  
Period Model

AbstractWith a cap-and-trade policy and green technology as inputs, we built a manufacturing ordering and pricing joint decision-making model for two downward substitution products to identify the conditions for optimal order quantities and prices of products under the additive demand case. Considering the case of a single period model, the conditions required for optimal manufacturing quantities and pricing were discussed, and the construction of the model was analyzed; furthermore, a study of the tactical choices between green technology inputs and manufacturing decisions was conducted, and the conditions required for green technology manufacturing input were obtained.

Study on the Cooperation Decision-Making Model in Integrated Green Supply Chain for Industrial Wastes Reusing Considerations

2011 ◽  
Vol 361-363 ◽  
pp. 1397-1401 ◽  
Author(s):  
Hai Yan Li ◽  
Bin Dan ◽  
Kai Rao ◽  
Hong Zhao
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Main Product ◽  
Supply And Demand ◽  
Industrial Wastes ◽  
Green Supply Chain ◽  
Joint Decision ◽  
Cooperation Scope ◽  
Product Output ◽  
Decision Making Model

Difference from traditional green single supply chain, this paper discusses a multiple supply chains cooperation model with the consideration of production wastes reusing, integrated green supply chain. We establish the uncooperative dynamic game model and the joint decision-making model. The different waste supply and demand quantificational conditions and the output and price strategy of product under the above condition are given. Especially, through comparing the joint decision-making with the independent decision-making, the following are suggested: When waste supply is far less than demand, the cooperation scope of system profit and main product output do not exist; When waste supply is far greater than demand, the cooperation scope of main product output of upstream supply chain is the maximum, and the cooperation scope of system profit is much bigger; When waste supply is roughly matchable to demand, the cooperation scope of system profit and product output of upstream supply chain are the largest.

scholarly journals Joint Decision-Making Model Based on Consensus Modeling Technology for the Prediction of Drug-Induced Liver Injury

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Yukun Wang ◽  
Xuebo Chen
Keyword(s):  
Decision Making ◽  
Liver Injury ◽  
Drug Development ◽  
Early Stage ◽  
Drug Induced ◽  
Joint Decision ◽  
Drug Induced Liver Injury ◽  
Majority Principle ◽  
Consensus Models ◽  
Decision Making Model

Drug-induced liver injury (DILI) is the major cause of clinical trial failure and postmarketing withdrawals of approved drugs. It is very expensive and time-consuming to evaluate hepatotoxicity using animal or cell-based experiments in the early stage of drug development. In this study, an in silico model based on the joint decision-making strategy was developed for DILI assessment using a relatively large dataset of 2608 compounds. Five consensus models were developed with PaDEL descriptors and PubChem, Substructure, Estate, and Klekota–Roth fingerprints, respectively. Submodels for each consensus model were obtained through joint optimization. The parameters and features of each submodel were optimized jointly based on the hybrid quantum particle swarm optimization (HQPSO) algorithm. The application domain (AD) based on the frequency-weighted and distance (FWD)-based method and Tanimoto similarity index showed the wide AD of the qualified consensus models. A joint decision-making model was integrated by the qualified consensus models, and the overwhelming majority principle was used to improve the performance of consensus models. The application scope narrowing caused by the overwhelming majority principle was successfully solved by joint decision-making. The proposed model successfully predicted 99.2% of the compounds in the test set, with an accuracy of 80.0%, a sensitivity of 83.9, and a specificity of 73.3%. For an external validation set containing 390 compounds collected from DILIrank, 98.2% of the compounds were successfully predicted with an accuracy of 79.9%, a sensitivity of 97.1%, and a specificity of 66.0%. Furthermore, 25 privileged substructures responsible for DILI were identified from Substructure, PubChem, and Klekota–Roth fingerprints. These privileged substructures can be regarded as structural alerts in hepatotoxicity evaluation. Compared with the main published studies, our method exhibits certain advantage in data size, transparency, and standardization of the modeling process and accuracy and credibility of prediction results. It is a promising tool for virtual screening in the early stage of drug development.

Joint decision-making model of preventive maintenance and delayed monitoring SPC based on imperialist competitive algorithm

2021 ◽  
pp. 1-14
Author(s):  
Yan Zhang ◽  
Shiyu Li ◽  
Yang Deng ◽  
Honggen Chen ◽  
Xin Yan ◽  
...  
Keyword(s):  
Decision Making ◽  
Preventive Maintenance ◽  
Early Period ◽  
Imperialist Competitive Algorithm ◽  
Sampling Interval ◽  
Model Parameters ◽  
Statistical Process ◽  
Joint Decision ◽  
Decision Making Model ◽  
And Control

This paper develops a joint decision-making model approach to preventive maintenance and SPC (statistical process control) with delayed monitoring considered. The proposal of delayed monitoring policy postpones the sampling process till a scheduled time and contributes to six renewal scenarios of the production process, where maintenance actions are triggered by scheduled duration of prenentive maintenance or the alert of X ¯ chart for monitoring the shift of process mean resulted by deterioration of equipment. By analyzing the evolution of the system in different scenarios, a mathematical model is given to minimize the expected cost per unit time by optimizing values of five variables (scheduled duration without monitoring, scheduled duration of preventive maintenance, sample size, sampling interval and control limit). The results of a numerical example indicate that the hourly cost of the proposed model is lower than the model that delayed monitoring is not considered when the system has a low hazard rate during the early period. Finally, a sensitivity analysis is performed to demonstrate the effect of model parameters.

scholarly journals A Multiproduct Single-Period Inventory Management Problem under Variable Possibility Distributions

2017 ◽  
Vol 2017 ◽  
pp. 1-14
Author(s):  
Zhaozhuang Guo ◽  
Shengnan Tian ◽  
Yankui Liu
Keyword(s):  
Inventory Management ◽  
Carbon Emission ◽  
Deterministic Model ◽  
Optimization Method ◽  
Uncertain Demand ◽  
Optimal Order ◽  
Management Problem ◽  
Single Period ◽  
Possibility Distributions ◽  
Order Quantities

In multiproduct single-period inventory management problem (MSIMP), the optimal order quantity often depends on the distributions of uncertain parameters. However, the distribution information about uncertain parameters is usually partially available. To model this situation, a MSIMP is studied by credibilistic optimization method, where the uncertain demand and carbon emission are characterized by variable possibility distributions. First, the uncertain demand and carbon emission are characterized by generalized parametric interval-valued (PIV) fuzzy variables, and the analytical expressions about the mean values and second-order moments of selection variables are established. Taking second-order moment as a risk measure, a new credibilistic multiproduct single-period inventory management model is developed under mean-moment optimization criterion. Furthermore, the proposed model is converted to its equivalent deterministic model. Taking advantage of the structural characteristics of the deterministic model, a domain decomposition method is designed to find the optimal order quantities. Finally, a numerical example is provided to illustrate the efficiency of the proposed mean-moment credibilistic optimization method. The computational results demonstrate that a small perturbation of the possibility distribution can make the nominal optimal solution infeasible. In this case, the decision makers should employ the proposed credibilistic optimization method to find the optimal order quantities.

Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang
Keyword(s):  
Decision Making ◽  
Commercial Banks ◽  
Decision Model ◽  
Business Models ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

Multi-Attribute Decision-Making Model by Applying Grey Numbers

Informatica ◽  
2009 ◽  
Vol 20 (2) ◽  
pp. 305-320 ◽  
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Arturas Kaklauskas ◽  
Zenonas Turskis ◽  
Jolanta Tamošaitienė
Keyword(s):  
Decision Making ◽  
Multi Attribute Decision Making ◽  
Decision Making Model
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