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Springer Science and Business Media LLC

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Cơ quản chủ quản:  Springer Netherlands , SPRINGER

Lĩnh vực:
Decision Sciences (miscellaneous)Management Science and Operations Research

Các bài báo tiêu biểu

Introduction to the theory and applications of uncertainty
- 2010
Moawia Alghalith, Ardeshir J. Dalal
A new multi-component DEA approach using common set of weights methodology and imprecise data: an application to public sector banks in India with undesirable and shared resources
Tập 259 - Trang 351-388 - 2017
Jolly Puri, Shiv Prasad Yadav, Harish Garg
Owing to the importance of internal structure of decision making units (DMUs) and data uncertainties in real situations, the present paper focuses on multi-component data envelopment analysis (MC-DEA) approach with imprecise data. The undesirable outputs and shared resources are also incorporated in the production process of multi-component DMUs to validate real problems. The interval efficiencies of DMUs and their components in MC-DEA are often challenging with imprecise data. In many practical situations, different set of weights may be resulted into valid efficiency intervals for DMUs but invalid interval efficiencies for their components. Therefore, the present study proposes a new common set of weights methodology, based on interval arithmetic and unified production frontier, to determine unique weights for measuring these interval efficiencies. It is a two-level mathematical programming approach that preserves linearity of DEA and exhibits stronger discrimination power among the DMUs as compared to some existing approaches. Theoretically, the aggregate efficiency interval of each DMU lies between the components’ interval efficiencies. Further, the proposed approach is also applied to banks in India for proving its acceptability in practical applications. The performance of each bank is investigated in terms of two components: general business and bancassurance business for the years 2011–2013. The present study emphasized expanding pattern of bancassurance business in current market scenario with more percentage increase as contrasted to general business.
A data-driven system for cooperative-bus route planning based on generative adversarial network and metric learning
- Trang 1-27 - 2022
Jiguang Wang, Yilun Zhang, Xinjie Xing, Yuanzhu Zhan, Wai Kin Victor Chan, Sunil Tiwari
Faced with dynamic and increasingly diversified public transport requirements, bus operators are urged to propose operational innovations to sustain their competitiveness. In particular, ordinary bus operations are heavily constrained by well-established route options, and it is challenging to accommodate dynamic passenger flows effectively and with a good level of resource utilization performance. Inspired by the philosophy of sharing economy, many of the available transport resources on the road, such as minibuses and private vehicles, can offer opportunities for improvement if they can be effectively incorporated and exploited. In this regard, this paper proposes a metric learning-based prediction algorithm which can effectively capture the demand pattern and designs a route planning optimizer to help bus operators effectively deploy fixed routing and cooperative buses with traffic dynamics. Through extensive numerical studies, the performance of our proposed metric learning-based Generative Adversarial Network (GAN) prediction model outperforms existing ways. The effectiveness and robustness of the prediction-supported routing planner are well demonstrated for a real-time case. Further, managerial insights with regard to travel time, bus fleet size, and customer service levels are revealed by various sensitivity analysis.
Tail risk connectedness in clean energy and oil financial market
Tập 334 Số 1-3 - Trang 575-599 - 2024
Matteo Foglia, Eliana Angelini, Toan Luu Duc Huynh
AbstractThis research investigates the connectedness and the tail risk spillover between clean energy and oil firms, from January 2011 to October 2021. To this, we use the Tail-Event driven NETworks (TENET) risk model. This approach allows for a measurement of the dynamics of tail-risk spillover for each sector and firm. Hence, we can provide a detailed picture of the existing extreme relationships within these markets. We find that the total connection between the markets varies during the period analysed, showing how the uncertainty in oil price plays a critical role in the risk dynamics for oil companies. Also, we find that relationships between energy firms tend to be intrasectoral; that is, each sector receives (emits) risk from (to) itself. These results can have important practical implications for risk management and policymakers.
Optimal control of dosage decisions in controlled ovarian hyperstimulation
Tập 178 - Trang 223-245 - 2009
Miao He, Lei Zhao, Warren B. Powell
In the controlled ovarian hyperstimulation (COH) cycle of the in vitro fertilization-embryo transfer (IVF-ET) therapy, the clinicians observe the patients’ responses to gonadotropin dosages through closely monitoring their physiological states, to balance the trade-off between pregnancy rate and ovarian hyperstimulation syndrome (OHSS) risk. In this paper, we model the clinical practice in the COH treatment cycle as a stochastic dynamic program, to capture the dynamic decision process and to account for each individual patient’s stochastic responses to gonadotropin administration. We discretize the problem into a Markov decision process and solve it using a slightly modified backward dynamic programming algorithm. We then evaluate the policies using simulation and explore the impact of patient misclassification. More specifically, we focus on patients with polycystic ovary syndrome (PCOS) or potential, that is, the patients that tend to be more sensitive to gonadotropin administration.
Four proofs of Gittins’ multiarmed bandit theorem
- 2014
Esther Frostig, Gideon Weiss
We study four proofs that the Gittins index priority rule is optimal for alternative bandit processes. These include Gittins’ original exchange argument, Weber’s prevailing charge argument, Whittle’s Lagrangian dual approach, and Bertsimas and Niño-Mora’s proof based on the achievable region approach and generalized conservation laws. We extend the achievable region proof to infinite countable state spaces, by using infinite dimensional linear programming theory.
Implications of credit default and yield uncertainty on supply chain’s equilibrium financial strategy
Tập 315 Số 1 - Trang 507-533 - 2022
Jun Wang, Qian Zhang, Pengwen Hou
Optimizing government resource allocation in public sectors: investigating intelligent urban systems for effective crisis management
- Trang 1-16 - 2023
Yingbo Xu, Leven J. Zheng, Wei Liu
This paper draws upon a theoretical framework for resource allocation to examine the differences in resource allocation capabilities of city governments that result from harnessing intelligent urban systems, also known as smart city construction. By analyzing data from 141 Chinese cities in 2020, we demonstrate that smart city construction has a positive influence on government resource allocation capacity. Moreover, we find that this positive relationship is strengthened when there is sufficient regional resource stock and weakened by the complexity of regional pandemics. This study highlights the critical mechanism of harnessing intelligent urban systems to optimize government resource allocation, contributing to the literature on resource allocation in public sectors, and providing clear practical implications for effective crisis management.
The emergent role of digital technologies in the context of humanitarian supply chains: a systematic literature review
Tập 319 - Trang 1003-1044 - 2021
Josip Marić, Carlos Galera-Zarco, Marco Opazo-Basáez
The role of digital technologies (DTs) in humanitarian supply chains (HSC) has become an increasingly researched topic in the operations literature. While numerous publications have dealt with this convergence, most studies have focused on examining the implementation of individual DTs within the HSC context, leaving relevant literature, to date, dispersed and fragmented. This study, through a systematic literature review of 110 articles on HSC published between 2015 and 2020, provides a unified overview of the current state-of-the-art DTs adopted in HSC operations. The literature review findings substantiate the growing significance of DTs within HSC, identifying their main objectives and application domains, as well as their deployment with respect to the different HSC phases (i.e., Mitigation, Preparedness, Response, and Recovery). Furthermore, the findings also offer insight into how participant organizations might configure a technological portfolio aimed at overcoming operational difficulties in HSC endeavours. This work is novel as it differs from the existing traditional perspective on the role of individual technologies on HSC research by reviewing multiple DTs within the HSC domain.