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Manpower Planning for MTR Carriage Assembly with an Integer Programming
This research is motivated by a real-life case which runs the public transportation services in Hong Kong, China. The mass transit railway (MTR) is...
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Modeling of sustainable integrated supply chains under the consideration of European Union regulations
This work introduces a multi-period, multi-commodity, inventory-routing problem with strategic fleet scheduling decisions, under the consideration of...
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A distributionally robust chance-constrained model for humanitarian relief network design
We propose a novel two-stage distributionally robust joint chance-constrained (DRJCC) model to design a resilient humanitarian relief network with...
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Large neighborhood search for an aeronautical assembly line time-constrained scheduling problem with multiple modes and a resource leveling objective
This paper deals with a scheduling problem arising at the tactical decision level in aeronautical assembly line. It has the structure of a...
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A mathematical programming approach for equitable COVID-19 vaccine distribution in develo** countries
Develo** countries scramble to contain and mitigate the spread of coronavirus disease 2019 (COVID-19), and world leaders demand equitable...
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A novel two-stage optimization scheme for solving university class scheduling problem using binary integer linear programming
University Class Scheduling Problem (UCSP) is an inevitable task every university must go through prior to the commencement of a semester. The...
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Comparison of MILP and CP models for balancing partially automated assembly lines
The objective of Assembly Line Balancing (ALB) is to find the proper assignment of tasks to workstations, taking into consideration various types of...
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Multi-objective mixed mode sugarcane transportation model using fuzzy NSGA
The sugar factory business plays a significant role as a source of employment for the developed countries like India, Brazil, South Africa etc. Sugar...
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Forward and Line-Based Cycle Bases for Periodic Timetabling
The optimization of periodic timetables is an indispensable planning task in public transport. Although the periodic event scheduling problem (PESP)...
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Survey on Lagrangian relaxation for MILP: importance, challenges, historical review, recent advancements, and opportunities
Operations in areas of importance to society are frequently modeled as mixed-integer linear programming (MILP) problems. While MILP problems suffer...
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Design of multi-service systems with facilities functioning as open Jackson queueing networks: application to online shop** stores
This paper considers a realistic multi-service system design problem in which each service type is a stochastic sequence of services provided by...
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A ground crew shift rostering model for Santiago International Airport
A mixed integer linear programming model is presented for personnel planning of ground handling crews at Santiago International Airport in Chile. The...
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A bi-level multi-follower optimization model for R&D project portfolio: an application to a pharmaceutical holding company
The need for a study of project portfolio optimization in pharmaceutical R&D has become all the more urgent with the outbreak of COVID-19. This study...
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A novel combined fuzzy VIKOR and mathematical optimization programming for online advertising effectiveness
Online advertising has become an essential part of corporate competition. It can help businesses win over customers and their attention, shape brand...
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Bilevel programming methods in waste-to-energy plants' price-setting game
This paper deals with the problem of waste treatment pricing in the waste-to-energy (WtE) plants' network. The correct and stable estimate of gate...
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Integrated DANP and binary goal programming model in generating joint-decision making for packaging postponement and supplier selection
This article explores the application of goal programming (GP) for improving tactical decision-making in supply chains. GP demonstrates flexibility...
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Loss-optimal classification trees: a generalized framework and the logistic case
Classification trees are one of the most common models in interpretable machine learning. Although such models are usually built with greedy...
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Integer and constraint programming model formulations for flight-gate assignment problem
Flight-gate assignment problems are complex real world problems involving different constraints. Some of these constraints include plane-gate...
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A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty
Organ transplantation is a crucial task in the healthcare supply chain, which organizes the supply and demand for various vital organs. In this...
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Single station MILP scheduling in discrete and continuous time
This article focuses on production planning in the metallurgical sector. This study undertakes a detailed comparative study of mixed-integer linear...
