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When we make operational decisions for high-tech manufacturing with products having short life times, there exist various challenges: (1) high uncertainty in the supply, production and demand; (2) limited amount of valid historical data; and (3) decision makers with a risk-averse attitude. We propose a simulation-based prediction framework to support real-time decision making. Specifically, we consider...
This paper proposes methods for the development of mathematical models and for the control of operation modes of technological objects in oil refinery in face of uncertainty based on fuzzy information. The mathematical formulation of the problem of decision-making on controlling modes, which are solved on the basis of mathematical modeling, is formalized and obtained. By using the example of the problem...
This paper proposes methods for the development of mathematical models and for the control of operation modes of technological objects in oil refinery in face of uncertainty based on fuzzy information. The mathematical formulation of the problem of decision-making on controlling modes, which are solved on the basis of mathematical modeling, is formalized and obtained. By using the example of the problem...
Most DEA models were initially considered only for crisp desirable inputs and outputs, but in the real world data have imprecise value, fuzzy concept is too important as imprecise and undesirable data. Moreover, the decision making units may have been some inputs and outputs index such undesirable data. Therefore, in this study, we introduce a method to evaluate revenue efficiency of DMUs when the...
This paper analyzes the input-output model based on data envelopment analysis (DEA), puts forward an input-output model of the vessel traffic services (VTS) based on DEA and builds the input and output index of this model combining with the demand characteristics of the running VTS' efficiency assessment. Combining with an instance of VTS, this paper analyzes the algorithm of the proposed model and...
The structures of product design, process development, manufacturing, sales, product utilization, after sale service and product retirement are becoming more and more complex due to the underlying reasons of newly introduced rules as well as constraints of the respective stakeholders. On the other hand, these complexities are also appending up the organizational assets. The configuration of the state...
The decision on most eco-efficient production scheme for producing customized products is highly time consuming and error-prone as it depends on several factors most notably the geographical locations, legal requirements, materials characteristics and process related parameters. Furthermore, the planners must be experienced with the simulation tools as well as related terminologies, environmental...
Sustainability consideration is very important in decision making related to furniture industry due to its raw material derived fromforestst. Forest has important role for people because it gives benefit in economic, social, and environmental aspects. This paper focuses on developing a simulation model for the furniture industry, especially in supplier-manufacturer relationship model for securing...
Although Geographic Information Systems have been extensively used by decision makers when dealing with spatial related issues, most of them do not provide the functionalities for supporting the classic decision making process. This process consists in identifying the problem, modelling the situation, and then a cycle in which the decision maker(s) generates various scenarios according to different...
Data envelopment analysis (DEA) is a mathematical programming method in Operations Research that can be used to distinguish between efficient and inefficient decision making units (DMUs). However, the conventional DEA models do not have the ability to rank the efficient DMUs. The super-efficiency models in DEA are used for ranking the efficient DMUs. This paper proposes a non-radial super-efficiency...
The objective of this paper is to address a typical efficiency analysis problem, in which interval inputs/outputs are considered. This paper firstly discusses the main weakness of the existing model in dealing with imprecise data, that different DMUs (decision making units) are rated under different production frontier, which makes the efficiency comparisons concise and meaningless. In order to evaluate...
In this paper, an AHP-TFN model based upon the AHP and basic theory of the trigonometrical fuzzy number (TFN) was established and corresponding evaluation process was described, in which to solve the inconsistence of differ judgment matrix set up in similar multi-alternative evaluation problems caused by the AHP or other fuzzy AHP to evaluate the partner selection in the formation of aviation subcontract...
Two-stage production process is a fundamental production form in industry. The efficiency measurement that only considers the initial inputs and final outputs is generally inadequate since it is not inclusive and ignores the inner structure of it. In this paper, we propose a two-stage DEA model while the inner structure is incorporated for efficiency evaluation under variable returns to scale. The...
The ranking interval number method is adopted for chemical oxygen demand production coefficient forecasting. It could be added to the fuzzy Bayes analysis model. The forecasting model is present. It could make Bayes risk decision making more practical. Financial factor of dyeing enterprise combining with COD experimental setting is adopted for COD forecasting. The standard and extension chemical oxygen...
Productivity in labour-intensive manufacturing shopfloors is highly influenced by availability and conditions of skilled workers. As operations intensify, the need for the right people at the right time performing the right job becomes increasingly important in order to respond rapidly to any disturbances caused by changing customer demands or other factors in the manufacturing environment. In this...
The technology of prognosis has become a significant approach but its implementation in maintenance has a major extension. The ability prognosis in the medical area has been established to estimate the future of human health. However, in maintenance, application of prognosis is not yet seen as a practical use for making better maintenance decision. To date, research in this area has been done in proposing...
The paper introduce the necessity and urgency of building data warehouse in coal mine enterprise, and then research the characteristics and architecture of data warehouse in coal mine enterprise; according to the inherent characteristics of coal mine enterprise, the typical subjects of data warehouse in coal mine enterprise are built; and according to system requirements of data warehouse in coal...
In this paper, taking the decision attributes, including order number, product number, manhour and comprehensive evaluation into account, the decision tree model of discrete production and manufacture has been presented. And C4.5 algorithm has been used to construct the decision tree recursively in a topdown manner, in which the topmost node is the root node, each internal node denotes an attribute...
Powered by the simulation and optimization engines resulting from recent research, a computer system named HKCONSIM is ready to provide concrete plant managers with decision support in making the best operation strategy for delivering concrete to multiple site clients. This paper demonstrates case studies of HKCONSIM applications in practical settings with emphasis on addressing two questions: (1)...
Soft capsule dropping pills product quality control system is a multi-input and multi-output complex system. First of all, the process parameters and a two-level hierarchy index system of soft capsule pills product quality were proposed based on the analysis to the production process. Then the model was established based on least squares support vector machine (LSSVM), whose inputs are the process...
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