A Stochastic Programming Approach for a Multi-Site Supply Chain Planning in Textile and Apparel Industry under Demand Uncertainty [PDF]
In this study, a new stochastic model is proposed to deal with a multi-product, multi-period, multi-stage, multi-site production and transportation supply chain planning problem under demand uncertainty. A two-stage stochastic linear programming approach
Houssem Felfel +2 more
doaj +3 more sources
A two-stage heuristic approach for nurse scheduling problem : a case study in an emergency department [PDF]
Nurse scheduling is a critical issue in the management of emergency department. Under the intense work environment, it is imperative to make quality nurse schedules in a most cost and time effective way.
Xu, M., Chin, K. S., Wong, T. C.
core +1 more source
Centralized DEA approach to assess efficiency scores of bank branches with foreign exchange transactions [PDF]
It is inevitable for a manager to consider the performance effects of each component of a multi-stage financial equity capital. These components serve as inputs in the first stage to raise investments.
Fereshteh Koushki
doaj +1 more source
Refined Two-Stage Programming-Based Multi-Baseline Phase Unwrapping Approach Using Local Plane Model
The problem of phase unwrapping (PU) in synthetic aperture radar (SAR) interferometry (InSAR) is caused by the measured range differences being ambiguous with the wavelength. Therefore, multi-baseline (MB) is a key processing step of MB InSAR.
Yang Lan, Hanwen Yu, Mengdao Xing
doaj +1 more source
A two‐stage stochastic programming scheme is proposed in order to evaluate the offering strategy of a distributed energy resource aggregator in both wholesale and local electricity markets and appropriately cope with uncertainties associated with its ...
Sara Haghifam +4 more
doaj +1 more source
Stochastic performance measurement in two-stage network processes: A data envelopment analysis approach [PDF]
summary:In classic data envelopment analysis models, two-stage network structures are studied in cases in which the input/output data set are deterministic. In many real applications, however, we face uncertainty.
Kordrostami, Sohrab +2 more
core +1 more source
Recurring Two-Stage Evolutionary Programming: A Novel Approach for Numeric Optimization
In the application of evolutionary algorithms (EAs) to complex problem solving, it is essential to maintain proper balance between global exploration and local exploitation to achieve a good near-optimum solution to the problem. This paper presents a recurring two-stage evolutionary programming (RTEP) to balance the explorative and exploitative ...
Mohammad Shafiul Alam +3 more
openaire +2 more sources
A Two-stage Stochastic Programming Approach for Aircraft Landing Problem [PDF]
This paper considers a two-stage stochastic programming problem for airport runway scheduling under the uncertainty of arrival time on a single runway. The goal of airport runway scheduling is to schedule a set of aircrafts in a given time horizon and minimize a corresponding objective while satisfying separation requirements as well as other practical
Liu, Ming +4 more
openaire +1 more source
A regularized smoothing method for fully parameterized convex problems with applications to convex and nonconvex two-stage stochastic programming [PDF]
We present an approach to regularize and approximate solution mappings of parametric convex optimization problems that combines interior penalty (log-barrier) solutions with Tikhonov regularization.
Sagastizábal, Claudia +2 more
core +1 more source
Optimising the implementation of BIM: A 2-stage stochastic programming approach [PDF]
A challenge faced by contractors attempting to implement Building Information Modelling (BIM) is deciding on the functions that BIM needs to be implemented for, along with the associated level of development (LOD).
Hammad, Ahmed WA +2 more
core +1 more source

