[PDF] Top 20 A dynamic bi-objective model for after disaster blood supply chain network design; a robust possibilistic programming approach

... service network, blood supply chain is an important part of healthcare systems especially when addressing emergencies and ...any disaster will absolutely cause a sudden increase in ... See full document

... strategic design and tactical inventory optimization problem, simultaniously in a multi-echelon ...Integer Programming (MIP) model for a Closed-Loop Supply Chain Network ... See full document

... relief network. One of the important features of a relief chain, which could increase the complexity of the disaster relief logistics, is associated with the uncertain and dynamic factors ... See full document

... (2001) model. They developed a stochastic model for multi-product networks under uncertainty in demand and returns and solved the model using a scenario-based ...MINLP model to design a ... See full document

... the robust optimization ...the supply chain network. Pan and Nagi [7] developed a robust scenario-based random model to deal with demand uncertainty in a supply ... See full document

... The model efforts in the area of SCND under disruption and operational risks have mostly focus on different strategies to weaken the destructive impacts of various threats on the ...SC. Supply chain ... See full document

... CLSC network and used a Memetic algorithm to solve ...a bi-objective possibilistic optimization model that minimizes the total cost of CLSC and the total tar- diness of delivered ... See full document

... a dynamic version of uncapac- itated budget constrained FL/NDP with regards to the planning ...equity-based objective. At each time period, his model optimized the summation of the total ... See full document

... designing model, which locate facilities in the reverse logistics networks ...linear model minimizing transportation ...a model considering both forward and backward flows, ...The design of ... See full document

... multi-objective robust CLSC network design model under customer demands and return product ratio ...linear programming model to design a multi-product, multi- ... See full document

... the supply chain parameters are two close concepts in supply chain risk ...to model the existing uncertainties in the supply chain ...when supply chain risks ... See full document

... stochastic programming to take uncertainty into account in a dynamic reverse ...stochastic programming for an integrated forward–reverse logistics network design under demand, quantity ... See full document

... aect network elements, which may lead to network failure; thus, planners need to consider them in the network ...the network functionality is maintained after the disruption event by ... See full document

... solution approach that is making a reasonable tradeoff between traditional cost and environmental ...integer programming model to integrating both forward and reverse supply chain ... See full document

... Problems with the manufacturing process are the second source of supply chain uncertainty. The impacts which are caused by this source of uncertainty depend on the degree of process interaction, degree of ... See full document

... a possibilistic distribution function for these two parameters, these parameters may not have the same behavior as the past ...including possibilistic programming, have been used to address the ... See full document

... main objective of this paper is the analysis of the literature about the application of fuzzy logic in performance measurement systems operating within uncertainty environments with the aim of categorizing, ... See full document

... a bi-level stochastic programming (BLSP) for a SCND problem considering ALB and demand ...MINLP model to integrate SCND and ALB ...the bi-level nature of the ...main objective of the ... See full document

... mixed-integer programming model was provided for designing a forward-reverse logistics network against the risks caused by the disruption of facilities and risks related to uncertainty of ...centers. ... See full document

... these supply chain members, including aspects such as joint environmental goal setting, shared environmental planning, and working together to reduce pollution or other environmental impacts (Vachon ... See full document