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Showing 1-20 of 344 results
  1. A Bi-objective stochastic programming model for the household waste collection and transportation problem: case of the city of Sousse

    This paper’s aim is to develop a model for the household waste collection and transportation problem in the city of Sousse, one of the largest cities...

    Haifa Jammeli, Majdi Argoubi, Hatem Masri in Operational Research
    Article 21 December 2019
  2. Practicable robust stochastic optimization under divergence measures with an application to equitable humanitarian response planning

    We seek to provide practicable approximations of the two-stage robust stochastic optimization model when its ambiguity set is constructed with an f -di...

    Aakil M. Caunhye, Douglas Alem in OR Spectrum
    Article Open access 21 May 2023
  3. Hub Location Models Under Uncertainty

    In this chapter, we review models and methods that incorporate uncertainty in hub location problems. In particular, we present stochastic and robust...
    Gita Taherkhani, Sibel A. Alumur in Uncertainty in Facility Location Problems
    Chapter 2023
  4. Optimization Under Uncertainty

    This chapter discusses several aspects of relevance in optimization under uncertainty. Different paradigms are reviewed, such as Robust Optimization,...
    Francisco Saldanha-da-Gama, Shuming Wang in Facility Location Under Uncertainty
    Chapter 2024
  5. Impact of loss aversion on the newsvendor problem: a literature review and insights for future researchers

    The standard newsvendor problem has attempted to determine the ideal ordering quantity considering the trade-off between over-stocking and...

    S. Yamini in OPSEARCH
    Article 23 July 2023
  6. Beyond LP and MILP Problems ⊖

    This chapter mentions several optimization problems which go beyond linear and mixed integer linear optimization. The focus is rather on motivation....
    Chapter 2021
  7. Multi-item order quantity optimization through stochastic goal programing

    Managing multi-item economic order quantity (MIEOQ) problems within an uncertain business environment is a critical challenge. Decision-makers, with...

    Alireza Azimian, Belaid Aouni in Annals of Operations Research
    Article Open access 25 April 2024
  8. Contrasting Applications in Environmental Planning and Public Procurement

    This chapter presents two types of applications—in Environmental Planning and Public Procurement—that differ in many aspects. The building bricks of...
    Jacques Pictet, Dominique Bollinger in Multicriteria Decision Aiding Interventions
    Chapter 2023
  9. Stochastic programming approach for unidirectional quay crane scheduling problem with uncertainty

    Quay crane scheduling is a key aspect of container terminal operation, which can be regarded as a decision-making process with uncertainty. Each task...

    Shoufeng Ma, Hongming Li, ... Chenyi Fu in Journal of Scheduling
    Article 07 July 2020
  10. Applications of Transportation Models in Africa

    Ample infrastructure, such as roads and proper vehicles to get goods to the right place at the right time, is an all-important factor in defining the...
    Chapter 2022
  11. Decision-Making Under Uncertainty: Ingredients for Modeling

    This chapter discusses several aspects of relevance when embedding uncertainty in optimization models aiming at supporting decision-making. These...
    Francisco Saldanha-da-Gama, Shuming Wang in Facility Location Under Uncertainty
    Chapter 2024
  12. Distributions and bootstrap for data-based stochastic programming

    In the context of optimization under uncertainty, we consider various combinations of distribution estimation and resampling (bootstrap and bagging)...

    **aotie Chen, David L. Woodruff in Computational Management Science
    Article 12 May 2024
  13. Ensuring Safety and Security in Blockchains: A Private Capital Markets Example

    The defining and a critical characteristic of blockchains powering the token economy is their potential to forge a strong ecosystem of disparate and...
    Daniel Conway, Kiran Garimella, Oscar A. Jofre in Blockchains and the Token Economy
    Chapter 2022
  14. Regulatory sco** exercise for the future adoption of autonomous inland ships in Europe

    Ship** is a heavily regulated sector, and autonomous ships will by no means be able to escape the public regulator’s agenda. Furthermore,...

    Sophie C. Orzechowski in Journal of Ship** and Trade
    Article Open access 02 January 2024
  15. Stochastic single machine scheduling problem as a multi-stage dynamic random decision process

    In this work, we study a stochastic single machine scheduling problem in which the features of learning effect on processing times,...

    Mina Roohnavazfar, Daniele Manerba, ... Roberto Tadei in Computational Management Science
    Article Open access 03 February 2021
  16. Multi-objective optimisation under deep uncertainty

    This paper presents a scenario-based Multi-Objective structure to handle decision problems under deep uncertainty. Most of the decisions in real-life...

    Babooshka Shavazipour, Theodor J. Stewart in Operational Research
    Article 14 September 2019
  17. The Economic Evaluation of the Brand in Insurance Companies

    After having explained the reference principles in the economic valuation of a brand, we proceed with the identification of the components of the...
    Conference paper 2022
  18. Collaborative hospital supply chain network design problem under uncertainty

    Since 2016, hospitals in France have met to form Territorial Hospital Groups (THGs) in order to modernize their health care system. The main...

    Khouloud Dorgham, Issam Nouaouri, ... Gilles Goncalves in Operational Research
    Article 05 July 2022
  19. Autonomous inland navigation: a literature review and extracontractual liability issues

    Pilot tests for (semi-)autonomous transport via inland waterways are already taking place in Belgium and other European countries. However, the full...

    Camilla Domenighini in Journal of Ship** and Trade
    Article Open access 28 April 2024
  20. Optimal reimbursement limitation for a health plan

    The goal of this paper is the assessment of an optimal reimbursement strategy for employer-based health insurance plans (HP), that cover several...

    Fabio Baione, Davide Biancalana, Massimiliano Menzietti in Annals of Operations Research
    Article Open access 16 November 2023
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