This study presents an interval multi-objective fuzzy-interval credibility-constrained nonlinear programming (IMFICNP) model combined with spatial water requirement of ecological vegetation (SEWR) estimation for solvi...
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This study presents an interval multi-objective fuzzy-interval credibility-constrained nonlinear programming (IMFICNP) model combined with spatial water requirement of ecological vegetation (SEWR) estimation for solving the problem of allocation of agricultural and ecological water in irrigation districts under uncertainties. Through techniques of remote sensing (RS) and geographic information system (GIS), the ecological vegetation is subdivided into three types including forest land, grassland and shrubland and the water requirement of ecological vegetation is extended from site-specific sample to spatial decision-making unit (DMU), which provides a set of spatial data for input parameters of constraints. The IMFICNP model can be formulated through combination of interval parameter programming, multi-objective programming and fuzzy-interval credibilityconstrainedprogramming, which can handle the conflicts of multiple objectives under uncertainties such as single uncertainty (interval and fuzzy parameters) and dual-uncertainties (fuzzy-interval sets), and finally generate optimal water allocation schemes for crop and ecological vegetation under different credibility levels. The interval quadratic crop water production functions (IQCWPFs) are introduced to express the nonlinear relationships between crop yield and irrigation amount. Then, this model is applied to a case study of Huangyang Irrigation District (HID) in Shiyang River Basin to demonstrate its applicability. The results indicate that a higher credibility level is accompanied by less amount of water allocation and lower system benefit. The amount of water allocation at the DMU is dominated by planting area of crops and ecological vegetation, but there are few exceptions that optimal solutions are determined by the economic value. In addition, SEWR enables to reflect spatial heterogeneity of the DMU at a larger scale. IMFICNP model can coordinate conflicts among multiple objectives and it can tackle the v
This paper offers a credibility-constrained programming model for reliable design of an integrated forward-reverse logistics network with hybrid facilities under uncertainty and random facility disruptions. To tackle ...
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This paper offers a credibility-constrained programming model for reliable design of an integrated forward-reverse logistics network with hybrid facilities under uncertainty and random facility disruptions. To tackle with this problem, a novel mathematical model is first developed that integrates the network design decisions in both forward and reverse flows and utilises reliability concepts to deal with facility disruptions. Then, the developed model is enhanced based on the credibility-constrained programing to cope with the epistemic uncertainties embedded in the model parameters. Since the hybrid distribution-collection facilities play an important role in both forward and reverse flows, it is supposed that they might be randomly disrupted. Several effective reliability strategies are considered to hedge against random facility disruptions. First, locating two types of hybrid facilities, namely, reliable and unreliable, is taken into account in the concerned logistics network when disruptions strike. Second, unreliable hybrid facilities are allowed to be partially disrupted, and thus a percentage of their capacities may be lost. However, they can still serve their customers with their remaining capacities. To compensate the lost capacity at unreliable hybrid facilities, a sharing strategy is also considered, in which goods can be shipped from reliable hybrid facilities to unreliable ones. Finally, several numerical experiments along with a sensitivity analysis are conducted to illustrate the significance and applicability of the developed model as well as the effectiveness of the credibility-based solution approach.
In this study, a typical supply chain network design problem consisting of plants, distribution centers, and customers is considered with the assumptions of multi-mode demand and multi-mode transportation. In it, the ...
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In this study, a typical supply chain network design problem consisting of plants, distribution centers, and customers is considered with the assumptions of multi-mode demand and multi-mode transportation. In it, the parameters of the problem are considered as a trapezoidal intuitionistic fuzzy value to handle the vagueness in the information. Based on it, a hybrid approach is proposed where the fuzzy objective function is converted to a set of crisp objective functions and the fuzzy constraints are crisped using their credibility measure. Finally, the crisp multi-objective formulation is obtained and solved it with different approaches. To evaluate the formulations and solution approaches, a case study from healthcare sector and several test problems are used. The results of computational experiments are used to compare the solution approaches, where the behavior of the proposed crisp formulation is fully discovered. (C) 2020 ISA. Published by Elsevier Ltd. All rights reserved.
In this study, a mix inexact-quadratic fuzzy water resources management model of floodplain (IQT-WMMF) has developed, through incorporating techniques of credibility-constrained programming (CP), two-stage programming...
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In this study, a mix inexact-quadratic fuzzy water resources management model of floodplain (IQT-WMMF) has developed, through incorporating techniques of credibility-constrained programming (CP), two-stage programming (TP), interval-parameter programming (IPP) and quadratic programming (QP) within a general framework for limited data availability. The IQT-WMMF can provide an effective linkage between system benefit and the associated economic penalty attributed to the violation of the pre-regulated water target under limited data availabilities expressed probabilistic distributions and interval values;meanwhile, imprecise and no-linear economic data would be resolved. The developed method is applied to a real case of planning water resources in the Dahuangbaowa floodplain, China, with the aim to develop a sustainable water resources management in the study region. A number of scenarios with wet land expansion strategies under various credibility levels are analyzed, implying that different policies can lead to varied water-allocation patterns, system benefits, and system-failure risks. The results discover that water deficits and flood damages have brought negative effects on economic development synchronously, which need to effective plans to reduce losses of shortages and floods for achieving higher system benefits. Tradeoffs between economic benefit and system-failure risk can support generating an increased robustness in risk control for water resources allocation under uncertainties, which is beneficial to adjust the current water-allocation sustainably.
In this study, a two-stage inexact credibility-constrained programming (TICP) method is developed for identifying the efficiency of water trading under multiple uncertainties. TICP can tackle uncertainties expressed a...
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In this study, a two-stage inexact credibility-constrained programming (TICP) method is developed for identifying the efficiency of water trading under multiple uncertainties. TICP can tackle uncertainties expressed as probabilistic distributions, discrete intervals and fuzzy sets. It can also provide an effective linkage between the benefits to the system and the associated economic penalties attributed to the violation of the predefined policies for water resource allocation. The developed TICP method is applied to a real case of water resource allocation management and planning in the Kaidu-kongque River Basin, which is a typical arid region in Northwest China. Different water resource allocation policies based on changes to the water permit and trading ratio levels are examined. The results indicate that the efficiencies of water trading are sensitive to the degrees of satisfaction (i.e., interval credibility levels), which correspond to different water resource management policies. Furthermore, the comparison of benefits and shortages between trading and non-trading schemes implies that trading is more optimal and effective than non-trading. The results are helpful for making decisions about water allocation in an efficient way and for gaining insight into the tradeoffs between water trading and economic objectives.
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