This article presents three different approaches to modeling and solving the classic transportation-location problem including the traditional cost-minimization mixed integer linear program. It is shown that modeling ...
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ISBN:
(纸本)9783319669267;9783319669250
This article presents three different approaches to modeling and solving the classic transportation-location problem including the traditional cost-minimization mixed integer linear program. It is shown that modeling these problems as a profit maximization mixed integer program instead allows for the relaxation of a set of constraints. An alternative multi-objective optimization model using goal programming is also presented. A representative model of the fluid milk supply chain in the U.S. is developed to demonstrate the scenarios and solutions achieved by the three different models to conclude that the multi-objective model is a robust approach to solve these optimization problems even when there is only a single explicit objective.
Since the COVID-19 outbreak has led to drastic changes in the business environment, researchers attempt to introduce new approaches to improve the capability and flexibility of the industries. In this regard, recently...
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Since the COVID-19 outbreak has led to drastic changes in the business environment, researchers attempt to introduce new approaches to improve the capability and flexibility of the industries. In this regard, recently, the concept of the viable supply chain, which tried to incorporate the leagile, resiliency, sustainability, and digitalization aspects into the post-pandemic supply chain, has been introduced by researchers. However, the literature shows that there is lack of study that investigated the viable supplier selection problem, as one of the crucial branches of viable supply chain management. Therefore, to cover this gap, the current work aims to develop a decision-making framework to investigated the viable supplier selection problem. In this regard, owing to the crucial role of the oxygen concentrator device during the COVID-19 outbreak, this research selects the mentioned product as a case study. After determining the indicators and alternatives of the research problem, a novel method named goal programming-based fuzzy best-worst method (GP-FBWM) is proposed to compute the indicators' weights. Then, the potential alternatives are prioritized employing the Fuzzy Vlse Kriterijumsk Optimizacija Kompromisno Resenje method. In general, the main contributions and novelties of the present research are to incorporate the elements of the viability concepts in the supplier selection problem for the medical devices industry and to develop an efficient method GP-FBWM to measure the importance of the criteria. Then, the developed method is implemented and the obtained results are analyzed. Finally, managerial and theoretical implications are provided.
The notion of the Generalized Assignment Type goal programming Problem is introduced to consider the additional side constraints of an Assignment Type problem as goal functions. A short term Tabu Search method togethe...
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The notion of the Generalized Assignment Type goal programming Problem is introduced to consider the additional side constraints of an Assignment Type problem as goal functions. A short term Tabu Search method together with diversification strategies are used to deal with this model. The methods are tested on real-world Nurse Scheduling Problems.
Issue of lithium battery technology has widely discussed in recent years. Currently, the use of lithium batteries has been so close to the life of the community such as the use of public road lighting, solar power pla...
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ISBN:
(纸本)9781538691649
Issue of lithium battery technology has widely discussed in recent years. Currently, the use of lithium batteries has been so close to the life of the community such as the use of public road lighting, solar power plants, handy talky, and accumulator for the motorcycle. To commercials, those accumulators need some preparations such as feasibility study, market research, and capital budgeting. Feasibility study and market research has been done in the previous, so this paper is doing the third step that is capital budgeting. Capital budgeting uses to allocate capital for some complicated project by the existence of multiple and conflicting goals. Those projects related to the company's goals to minimize costs that are contrary to the objectives of quality improvement, meeting the needs of space, production capacity, warehouse capacity, etc. This research uses a goal programming approach for capital budgeting commercialization and production of lithium accumulator and demonstrates via an in-depth case example of a production problem.
supported by the Taishan Scholar Construction Engineering by Shandong Government the National Natural Science Foundation of China under Grant Nos.61120106011 and 61203029
supported by the Taishan Scholar Construction Engineering by Shandong Government the National Natural Science Foundation of China under Grant Nos.61120106011 and 61203029
In the present study an effort has been made to optimize the machining conditions for electric discharge machining of LM25 Al (7 Si, 0.33 Mg, 0.3 Mn, 0.5 Fe, 0.1 Cu, 0.1 Ni,.2 Ti) reinforced with green bonded SiC part...
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In the present study an effort has been made to optimize the machining conditions for electric discharge machining of LM25 Al (7 Si, 0.33 Mg, 0.3 Mn, 0.5 Fe, 0.1 Cu, 0.1 Ni,.2 Ti) reinforced with green bonded SiC particles with approximate size of 25 μm. Polynomial models were developed for the various EDM characteristics such as metal removal rate, tool wear rate and surface roughness in terms of the process parameters such as volume fraction of SiC, current and pulse time. The models were used to optimize the EDM characteristics using nonlinear goal programming.
Multiplicative preference relations can be expanded into Neutrosophic multiplicative preference relations (NMPR) and Interval Neutrosophic Multiplicative Preference Relations (INMPR). They are appropriate for capturin...
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Multiplicative preference relations can be expanded into Neutrosophic multiplicative preference relations (NMPR) and Interval Neutrosophic Multiplicative Preference Relations (INMPR). They are appropriate for capturing the experts' assessments' uncertainty, ambiguity, and indeterminacy. This work aims to provide a consistency and consensus-based approach for dealing with group decision-making using NMPRs and INMPRs, as well as many goal programming models to manage the consistency and consensus of NMPRs and INMPRs. To define and measure acceptable consistency for NMPRs and INMPRs, the study first offers a consistency index. Several consistency-based programming approaches are designed to address the inconsistency and provide an appropriate consistent NMPR and INMPR for an NMPR and INMPR that are not consistent enough. We provide a consistency-based approach to NMPR and INMPR decision-making. Then, considering the consensus in GDM, a consensus index is suggested for determining the level of agreement between specific NMPRs and INMPRs. Thereafter, a group NMPR and INMPR are created by combining individual NMPRs and INMPRs using an aggregation operator that ensures the consistency of the group NMPRs and INMPRs. With a collection of NMPRs and INMPRs, a consistency- and consensus-based GDM approach is built on single-valued neutrosophic sets (SVNS) and interval-valued neutrosophic sets (IVNS). Finally, two real-world numerical examples are shown, along with a comparison. The proposed method checked the individual consistency level and the group consensus, which is less than the existing method. The ranking of the alternatives was given, which was more convincing than the existing methods. It is also clear that it is much simpler than the previous methods.
In this paper we present an iterative goal programming approach for solving multiobjective integer linear programming problems. After illustrating the approach we give the definition of, and an algorithm to determine ...
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In this paper we present an iterative goal programming approach for solving multiobjective integer linear programming problems. After illustrating the approach we give the definition of, and an algorithm to determine the stability set of the first kind for multiobjective problems of all-integer variables and with parameters in the right-hand side of the constraints. Finally, the paper is concluded together with some points for further research. (C) 2003 Elsevier Inc. All rights reserved.
Wireless sensor networks (WSNs) have become an important technology for execution of sensitive applications requiring real-time sensing and data acquisition for decision-making purposes. Apart from many challenges fac...
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ISBN:
(纸本)9781479910786
Wireless sensor networks (WSNs) have become an important technology for execution of sensitive applications requiring real-time sensing and data acquisition for decision-making purposes. Apart from many challenges facing WSNs deployment and operations, security of wireless sensor networks is a an important challenging issue. There is always a potential threat of various types of malicious attacks against the security of WSNs. Due to the unreliable environments in which WSNs operate, the threat of distributed attacks against sensory resources such as power consumption, communication, and computation capabilities cannot be ignored. In this paper, a goal programming based approach is proposed and empirically analyzed in the context of distributed denial of service attacks in WSNs. The problem was analyzed using fuzzy logic approach in previous studies, but reflected some deficiencies in the proposed approach. The current goal programming based approach proposed herein is formulated as a multi-criteria decision-making problem, with attack detection rate and energy decay rate as the two decision criteria. A goal programming based mechanism is developed to achieve the best trade-off between the two aforementioned conflicting criteria. Empirical analysis proves the effectiveness of the proposed approach.
in recent years, the companies concerned with Flexible Manufacturing Systems(FMS), because of requirements about low volume production, short product life, availability of the new products for the market in a short ti...
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ISBN:
(纸本)0780366522
in recent years, the companies concerned with Flexible Manufacturing Systems(FMS), because of requirements about low volume production, short product life, availability of the new products for the market in a short time and flexibility of design and production management. A Flexible Manufacturing System is a set of computer-numerically controlled machine tools connected by an automatic material handling system and all controlled by a central computer system. In this study, a goal programming model is developed for flexible manufacturing systems that consist of several machine and work parts and has automatic material handling system. Every work part has different routes for which alternative machines can be used for part production. This model is tested for problems with different sizes. Multiple- criteria programming approach is used to consider the distance factor between machines in loading and routing problems in FMS.
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